{ "count" : 34598, "data" : [ { "id" : "6a2cd70874d8ee00a0a400df", "title" : "AI-Enabled Data Engineer", "company" : "TechTorch", "industry" : "Data", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI-Enabled Data Engineer in the United States, adjusted for mid-seniority level." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T00:37:23.718", "fingerprint" : "7f7143bd8c116459e8f7cc89021dc5f061aa72daa682ac2f39c89343bf61365e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/techtorch/878bb1ac-11d2-4d0c-935c-47dc06333917/application", "externalId" : "878bb1ac-11d2-4d0c-935c-47dc06333917", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "About TechTorch TechTorch is a high-growth enterprise technology consultancy that partners with the world’s leading private equity-backed businesses. We deliver AI-powered solutions, accelerators, and data-driven transformation initiatives that drive measurable value at speed and scale. Our mission is to redefine enterprise technology consulting for private equity. We combine the agility of a scale-up with the discipline and rigor demanded by the most sophisticated investors and operators. TechTorch was founded by seasoned leaders — including former Bain consultants, CIOs, and tech executives — with deep expertise in technology, transformation, and value creation. We were built to deliver results that matter. About the Practice TechTorch’s Data Practice builds the data infrastructure, platforms, and pipelines that enable organizations to move from raw data to measurable business value. We work across the full data stack — from ingestion and modeling to AI-ready data products — and we move fast by letting AI do the heavy lifting wherever it can. This role sits at the intersection of deep data engineering craft and modern AI capability. Data engineering is your foundation. AI is your force multiplier. What You’ll Do Data Engineering & Platform - Design, build, and maintain scalable data pipelines and ETL/ELT workflows across cloud and on-prem environments. - Work with Snowflake, Databricks, and Delta Lake as primary data platforms — handling ingestion, transformation, storage optimization, and access patterns. - Model data with dbt: write modular SQL transformations, manage dependencies, enforce data contracts, and maintain documentation. - Build and maintain semantic layers that serve consistent, governed metrics to downstream consumers. - Design data warehouse schemas and data lake structures that balance performance, cost, and queryability. - Implement data quality frameworks — testing, validation, alerting, and lineage — as first-class citizens in every pipeline. Orchestration & Operations - Orchestrate workflows across Airflow, Dagster/Prefect, Azure Data Factory, and Databricks Workflows — choosing the right tool for each job. - Apply DataOps practices: CI/CD for data pipelines, environment promotion, infrastructure as code, and observability. - Own the reliability of data products end-to-end — monitoring, alerting, incident response, and root cause analysis. - Work across AWS and Azure cloud services (S3, Glue, ADLS, ADF, Synapse, Redshift) to design cost-effective, scalable architectures. AI-Enabled Data Engineering - Build data pipelines that feed AI systems — including RAG ingestion workflows, vector store loading, document chunking, and embedding pipelines. - Use LLMs as active components in ETL logic: classification, entity extraction, enrichment, and data quality remediation in-flight. - Expose data infrastructure as consumable tools for AI agents via MCP or similar agent-integration patterns. - Use AI-paired programming (Claude Code or equivalent) as a daily productivity layer — not just autocomplete, but genuine workflow acceleration. - Stay current on how AI tooling changes the data engineering workflow and bring those patterns back to the team. What You Bring Core Data Engineering: ETL/ELT Design · Data Modeling · Data Quality & Testing · Data Lineage · Batch & Incremental Loads Data Platforms: Snowflake · Databricks · Apache Spark / PySpark · Delta Lake · Data Warehouses · Data Lakes Transformation & Modeling: dbt Core / dbt Cloud · SQL (advanced) · Semantic Layer · Dimensional Modeling Orchestration: Apache Airflow · Dagster / Prefect · Azure Data Factory · Databricks Workflows AI-Enabled Engineering: RAG & Vector Store Pipelines · AI-Augmented ETL · MCP / Agent Data Tools · AI-Paired Programming · LLM Integration in Pipelines Cloud & DevOps: AWS (S3, Glue, Redshift) · Azure (ADLS, ADF, Synapse) · CI/CD for Data · Infrastructure as Code · Python Nice to Have - Experience with streaming architectures: Kafka, Spark Streaming, or Flink. - Exposure to feature stores (Feast, Tecton) or ML platform data pipelines. - Hands-on with vector databases: Pinecone, Weaviate, Qdrant, or pgvector. - Familiarity with data mesh or data product ownership models. - Experience with Snowpark or Databricks AI/BI tooling. - Building or contributing to internal data tooling, frameworks, or accelerators. What We Offer - Work on real, complex data problems across multiple client environments — not toy datasets. - A team that takes AI tooling seriously and expects you to use it, not just know it. - Access to the full modern data stack — no one-tool shops. - Room to grow into data architecture, platform leadership, or AI engineering depending on where you want to take it. - Collaborative culture that values opinions, craft, and intellectual curiosity.", "summaryDescription" : "AI-Enabled Data Engineer at TechTorch", "createdAt" : "2026-06-14T20:14:21.346", "lastUpdated" : "2026-06-16T00:37:23.718", "ingestTimestamp" : "2026-06-14T20:14:21.346", "mongoId" : "6a2cd70874d8ee00a0a400df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca43a74d8ee00a09b0d53", "title" : "Working Student - Business Analyst", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 20000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Working Student - Business Analyst in Amsterdam, Netherlands, adjusted for the e-commerce industry." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T04:14:07.739", "fingerprint" : "89c762d0a3b65c7bee7ce360dd51281f1f856b520bb0b620dd2a9b199f2c720e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=2987976", "externalId" : "2987976", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "PART_TIME", "minimumEducation" : "Master's", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Business consulting" ], "hardSkillsList" : [ "Data analytics" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Business consulting", "majorSkillsList" : [ "Data analytics", "Business consulting" ], "coreResponsibilities" : "Analyze data, Identify opportunities, Support strategies, Create models, Optimize models, Work with teams, Deliver solutions, Challenge status quo, Rethink processes", "teamCollaboration" : "Work with teams", "domainKnowledge" : "Grocery shopping", "domainList" : [ "grocery-shopping" ], "domainSpecificKnowledge" : [ "Grocery shopping" ], "communicationSkills" : "Explain concepts", "continuousLearning" : "Lunch & Learn sessions; Team trainings", "innovationCreativity" : "Groundbreaking solutions; Push boundaries", "problemSolvingSkills" : "Analytical mindset", "specialRequirements" : "Minimum 16h per week, Minimum 4 months", "outcomesObjectives" : "Achieve operational excellence; Real-time improvements", "qualificationsBasic" : "Master's program enrollment, Proficiency with SQL, Proficiency with Python, Fluent in English", "qualificationsPreferred" : "French is a plus, EU citizenship", "workSiteFlexibility" : "Onsite", "rawDescription" : "In a nutshell As a Business Analyst Working Student at Picnic, you’ll be at the forefront of innovation, tackling complex challenges with fresh, groundbreaking solutions. This role is all about driving impact—you’ll analyze data, help identify opportunities, and support strategies that push boundaries and redefine the grocery shopping experience. You’ll join a dynamic and collaborative team in a fast-paced, innovative environment. Tricks of the trade Solving real-life puzzles: Tackle critical business questions that shape Picnic’s business model every day. Curious about the questions? Enabling: Achieve operational excellence by approaching challenges with a data-driven and analytical mindset Building: Create and optimize models for real-time improvements Communicating: Work effectively with different teams to deliver impactful and sustainable solutions Owning your projects: Take initiative by challenging the status quo and rethinking how things are done. Just because it’s been done that way doesn’t mean it’s the best way. Try us! Your superpowers You are currently enrolled in a Master’s program in Aerospace, Mechanical, Industrial, Automation or Production Engineering; Mathematics; Econometrics; AI; or equivalent Passion for data analytics and business consulting You have knowledge of fast-paced environments You have the ability to explain complex analytical concepts in a comprehensible manner to various stakeholders Your communication skills allow you to convert abstract plans into digestible information Proficiency with SQL and Python or are excited to learn You are fluent in both written and verbal English (French is a plus) and have an EU citizenship available Available for minimum 16h per week for minimum 4 months, preferably more Depending on your performance, we can discuss further opportunities at Picnic! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll have plenty of chances to grow, whether it’s through our casual Lunch & Learn sessions or team specific trainings. We’re especially keen on keeping great talent around: perform well as a working student, and we would love to explore transitioning you into a full-time role. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package We offer competitive compensation and a pension plan that looks out for your future self.", "summaryDescription" : "Working Student - Business Analyst at Picnic. Skills: Data analytics, Business consulting. Analyze data. Identify opportunities", "postedDate" : "2026-06-14T21:48:54.729", "createdAt" : "2026-06-14T21:48:54.729", "lastUpdated" : "2026-06-16T04:14:07.739", "ingestTimestamp" : "2026-06-14T21:48:54.729", "mongoId" : "6a2ca43a74d8ee00a09b0d53", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Business consulting", "Grocery shopping" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e424f8b1b0376634c5ca", "title" : "Working Student - Business Affairs", "company" : "Audible GmbH", "industry" : "Editorial, Writing, Content Management, Administrative Support, subsidiaries", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a part-time, entry-level Working Student in Business Affairs in Berlin, Germany, adjusted for the media industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T11:11:41.432", "fingerprint" : "3625a31be4c171d984fe50a72e27df943e78e35e93ef922c8631c8b17a728322", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3077125/apply", "externalId" : "49e61fa0-0238-4c8f-8430-607e04e4869d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "PART_TIME", "technicalSkills" : "Excel, Word, PowerPoint, Outlook", "professionalSkills" : [ "Stakeholder management", "Analytical skills" ], "hardSkillsList" : [ "Contract administration", "Data repositories maintenance" ], "hardSkills" : [ { "name" : "Contract administration", "level" : "intermediate" }, { "name" : "Data repositories maintenance", "level" : "intermediate" } ], "majorSkills" : "Business Affairs, Content acquisition, Rights management", "majorSkillsList" : [ "Business Affairs", "Content acquisition", "Rights management" ], "coreResponsibilities" : "Support reporting on acquisition opportunities, Support reporting on titles’ performance, Coordinate team meetings, Manage general administrative tasks, Process contracts, Handle contract administration, Handle contract monitoring, Send contracts, File contracts, Enter documentation in database, Process documentation, Ensure deadlines are kept, Enter data repositories, Update data repositories, Maintain data repositories, Support license management administration, Interface to finance department, Coordinate workflow internally, Coordinate communication internally, Gather title information from stakeholders", "teamCollaboration" : "Coordinate workflow internally; Coordinate communication internally", "domainKnowledge" : "Audio industry; Audiobooks publishing; Media; Entertainment products; Licensing; Rights management", "domainList" : [ "audio-industry", "audiobooks-publishing", "media", "entertainment-products", "licensing", "rights-management" ], "domainSpecificKnowledge" : [ "Audio industry", "Audiobooks publishing", "Media", "Entertainment products", "Licensing", "Rights management" ], "toolProficiency" : [ "Windows", "Excel", "Word", "PowerPoint", "Outlook" ], "documentationSkills" : "Documentation in internal database", "continuousLearning" : "Overview of audio industry", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Full time enrollment in German program, At least 1 year studies left, Expected graduation after October 2026, Business fluency in English, Well versed in Windows", "qualificationsPreferred" : "Studies in law, Studies in media/communications, Studies in economics, Studies in business administration, Fluency in French, Fluency in German, Fluency in Italian, Fluency in Spanish, Enjoy understanding complex processes, Communicate complex processes, Team player, Creative thinking, Interest in books, Interest in audiobooks, Interest in audio dramas, Interest in podcasts", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Based in Berlin, Audible GmbH is looking for a proactive and committed Working Student – Business Affairs to support our Audible Books team, responsible for acquiring and steering original content for Audible’s markets in the EU. You will support the team that maintains relationships with external stakeholders like authors, editors, translators, narrators and agencies that help us provide our listeners with the best audio storytelling. Through this working student role, you will gain a complete overview of the audio industry and its main players, as well as exposure to a fast paced tech corporate environment. ABOUT YOU You have an interest in media/entertainment products, licensing and rights management or aim to develop a career in the audio/books publishing industry. You're comfortable working with documents, data and reports on a daily basis, you posses strong analytical and stakeholder management skills and are able to work in a reliable, organized and structured way. As a Working Student - Business Affairs, Audible Books, you will... - Support reporting on acquisition opportunities and titles’ performance - Coordinate team meetings and manage general administrative tasks - Process contracts: Handle contract administration and monitoring, e.g. sending and filing contracts, documentation in internal database tools, processing, ensure that deadlines are being kept - Enter, update and maintenance of our different data repositories - Support license management administration - Interface to the finance department, coordinate workflow and communication internally - Periodically gather title’s information from external stakeholders ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. OUR OFFER - Student position for 20h per week - Compensation of €15.30 per hour - 12 months contract - Up to 4 times of free catered lunch per week - Commuting benefits - Exciting opportunity to participate in the growth of a global digital audiobook provider - International work environment -Flexible working hours Basic Qualifications: - Full time enrollment in a German state-accredited (staatlich anerkanntem) Bachelor or Master program, in the Berlin/Brandenburg area, and have at least 1 year of studies left - expected graduation after October 2026 - Business fluency in written and spoken English - Well versed in Windows operating environment: Excel, Word, PowerPoint and Outlook Preferred Qualifications: - Studies in law, media/communications studies, economics, business administration or related disciplines - Fluency in one of the following languages: French, German, Italian, Spanish - You enjoy understanding complex processes and communicating such processes to others - Team player with strong communication skills - You approach your tasks with confidence and diligence, you display creative thinking and attention to detail - Interest in books/audio books/ audio dramas / podcasts - Capability to work reliably and independently Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Working Student - Business Affairs at Audible GmbH. Skills: Business Affairs, Content acquisition, Rights management. Support reporting on acquisition opportunities. Support reporting on titles’ performance", "postedDate" : "2026-06-13T19:18:21.661", "createdAt" : "2026-06-13T19:18:21.661", "lastUpdated" : "2026-06-15T11:11:41.432", "ingestTimestamp" : "2026-06-13T19:18:21.661", "mongoId" : "68c2e424f8b1b0376634c5ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077125/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Contract administration", "Data repositories maintenance", "Business Affairs", "Content acquisition", "Rights management", "Stakeholder management", "Analytical skills", "Audio industry", "Audiobooks publishing", "Media", "Entertainment products", "Licensing", "Windows", "Excel", "Word", "PowerPoint", "Outlook" ], "skillCount" : 17, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c8bb174d8ee00a0973801", "title" : "Senior Product Operations Manager (AI Workflows)", "company" : "Pliant", "industry" : "Product", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Operations Manager in the UK SaaS industry, adjusted for mid-seniority and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T05:26:36.597", "fingerprint" : "de5a3019a217081055b5f521f5986a2d195bc789ea67cd1e0d9cce0a51651f08", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/pliant/cd30c786-9df6-4e34-abf0-ed71b7031377/application", "externalId" : "cd30c786-9df6-4e34-abf0-ed71b7031377", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" }, { "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, API", "professionalSkills" : [ "Product strategy", "Roadmap planning", "User stories", "Cross-functional collaboration", "Systems design", "Data analysis", "KPI governance", "Data quality standards" ], "hardSkillsList" : [ "AI workflows", "Release management", "Dashboarding infrastructure" ], "hardSkills" : [ { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Release management", "level" : "intermediate" }, { "name" : "Dashboarding infrastructure", "level" : "intermediate" } ], "majorSkills" : "Product Operations, AI Workflows, Product OS", "majorSkillsList" : [ "Product Operations", "AI Workflows", "Product OS" ], "coreResponsibilities" : "Own Product Operating System, Evolve Product Operating System, Design AI-powered workflows, Ship AI-powered workflows, Drive consistency, Preserve autonomy, Build Product analytics foundation, Maintain dashboarding infrastructure, Evaluate Product tool stack, Rationalise Product tool stack, Coach PMs, Capture institutional knowledge, Raise bar for Product work, Stay close to adjacent functions, Shape Product Operations", "teamCollaboration" : "Cross-functional collaboration; Partner with Heads of Product; Interface with Engineering; Interface with Design; Interface with Commercial; Interface with Support", "projectManagementSkills" : [ "Roadmaps", "PRDs", "OKRs", "Release management", "Retros", "KPIs" ], "domainKnowledge" : "B2B SaaS; Platform business; Fintech context", "domainList" : [ "b2b-saas", "platform-business", "fintech-context" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Platform business", "Fintech context" ], "toolProficiency" : [ "Notion", "Jira", "Slack", "ChatGPT", "Claude", "Cursor", "Notion AI", "N8n", "Gumloop", "Make" ], "communicationSkills" : "Written communicator", "documentationSkills" : "PRD drafting; Release notes", "problemSolvingSkills" : "Systems thinker", "qualificationsBasic" : "3–5+ years Product Operations, 3–5+ years Product Management, 3–5+ years Strategy & Operations, 3–5+ years Technical Program Management, Hands-on AI power-user, Day-to-day fluency AI tools, Systems thinker, Product instincts, Comfort operating in ambiguity, Building from blank page, Crisp written communicator, Fluent in Berlin preferred", "qualificationsPreferred" : "Time in fast-growing B2B SaaS, Time in platform business, Build with AI tools, Prompting AI tools, AI evals, Low-code/no-code workflows, Light scripting, API integrations, Curious about Pliant's context, Remote possible within EU", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT US Since 2020, Pliant has been on a mission to rethink credit cards and empower companies to grow by providing a smart way to pay that scales with their business. With our app and API-based solutions, Pliant allows companies to issue physical and virtual credit cards, automate payment processes, track spending, and seamlessly integrate this data into their finance stack. Pliant is growing quickly. With our expansion into 25+ international markets, we believe that people, passion, and diversity are the key ingredients to our future success. Our team of 300+ Plianteers comes from 30+ nationalities and works remotely or in a hybrid setup from our HQ in the heart of Berlin. And we’re looking for more talented and committed people to join us on our journey! ABOUT THE ROLE As Senior Product Operations Manager (AI Workflows) at Pliant, you’ll own and professionalise the operating system that powers Product across our entire tech org — and reshape it from the ground up with AI. Roadmaps, PRDs, OKRs, feature-request triage, release management, KPI dashboards: today these processes are spread across Notion, Jira, and Slack, each maintained on the side by someone with a different day job. Your mission is to turn them into one coherent, AI-powered delivery machine — while keeping processes lean and avoiding bureaucracy. This is a founding role, reporting directly to the CPO. You’ll partner closely with the Heads of Product across our tech groups and interface with Engineering, Design, Commercial, and Support wherever the Product OS touches their work. We’re hiring this role now because AI has changed the equation: PRD generation, feature-request triage, release notes, and many of the other day-to-day Product workflows can now be AI-powered — and chained together they materially change how PMs spend their week. You’ll build that future at Pliant. WHAT YOU’LL DO - Own and continuously evolve Pliant’s Product Operating System — roadmaps, PRDs, OKRs, feature-request triage, release management, retros, KPIs — turning today’s disparate, side-of-desk processes into one coherent system. - Design and ship AI-powered workflows that take work off PMs’ plates — from PRD drafting to feature-request triage to release notes — and chain them together across the OS. - Drive consistency across our tech organisation where it matters, while preserving autonomy for teams where it doesn’t. - Build the Product analytics foundation: together with our Data team build and maintain the dashboarding infrastructure, KPI governance, data quality standards, and tooling that enable the Product team to work with data, derive insights, and make roadmap decisions. - Evaluate and rationalise the Product tool stack — Notion, Jira, the AI builder layer (Cursor, Claude Code, n8n, Gumloop, Notion AI), and what comes next. - Evangelise and enable: coach PMs on new tools and workflows, capture institutional knowledge, raise the bar for what good Product work looks like at Pliant. - Stay close to adjacent functions — Engineering, Design, Commercial, Support, etc. — so the Product OS interfaces cleanly with theirs. - Shape what Product Operations becomes at Pliant as the function grows. WHAT YOU’LL BRING - 3–5+ years in Product Operations, Product Management, Strategy & Operations, Technical Program Management, or similar — ideally with time in a fast-growing B2B SaaS or platform business. - Hands-on AI power-user, with day-to-day fluency in modern AI tools (ChatGPT, Claude, Cursor, Notion AI, etc.). Strongly preferred: you also build with them — prompting, evals, low-code/no-code workflows (n8n, Gumloop, Make), light scripting, API integrations. - Systems thinker who designs operating models that scale without adding bureaucracy. You know when to formalise and when to keep things lightweight. - Strong product instincts and empathy for PMs. You’ve worked closely with Product teams and understand what helps vs. what gets in the way. - Comfort operating in ambiguity and building from a blank page. Happy to be a single-person team to start and own outcomes end-to-end. - Crisp written communicator. Your writing is part of how you raise the bar. - Curious about Pliant’s context as a B2B platform business. No direct fintech experience required. - Fluent in English; Berlin preferred, remote possible within the EU. WHAT WE OFFER - Founding role in a function Pliant is investing in heavily — the opportunity to define what Product Operations becomes here as we scale. - High-impact ownership of the processes and workflows that power Product across the entire tech org. - A fast-moving, product-led organisation with significant growth ahead. - A highly international, flat, and collaborative team environment. - Competitive compensation and equity package. - Flexible work setup (remote, hybrid, or Berlin office). - Attractive benefits including a monthly mobility allowance, Wellhub membership, and a company card with a lunch/coffee budget.", "summaryDescription" : "Senior Product Operations Manager (AI Workflows) at Pliant. Skills: Product Operations, AI Workflows, Product OS. Own Product Operating System. Evolve Product Operating System", "createdAt" : "2026-06-13T21:25:06.574", "lastUpdated" : "2026-06-15T05:26:36.597", "ingestTimestamp" : "2026-06-13T21:25:06.574", "mongoId" : "6a2c8bb174d8ee00a0973801", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI workflows", "Release management", "Dashboarding infrastructure", "Product Operations", "AI Workflows", "Product OS", "Product strategy", "Roadmap planning", "User stories", "Cross-functional collaboration", "Systems design", "Data analysis", "KPI governance", "Data quality standards", "Roadmaps", "PRDs", "OKRs", "Retros", "KPIs", "B2B SaaS", "Platform business", "Fintech context", "Notion", "Jira", "Slack", "ChatGPT", "Claude", "Cursor", "Notion AI", "N8n", "Gumloop", "Make" ], "skillCount" : 32, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a688574d8ee00a063471d", "title" : "AI-Enabled Full Stack Developer", "company" : "AI-Enabled Full Stack Developer", "industry" : "Technology", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI-Enabled Full Stack Developer in Taichung, Taiwan, adjusted for the technology industry and full-time employment." }, "location" : "Taichung - AATT, Taiwan", "locations" : [ "Taichung - AATT, Taiwan" ], "timestamp" : "2026-06-12T19:45:04.092", "fingerprint" : "be7da39b50cdb5a3c4707928d1f6a8dfde44d146d47aa574b4a6445d04d0866b", "source" : "workday", "language" : "en", "applyUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Taichung---AATT-Taiwan/AI-Enabled-Full-Stack-Developer---Experienced_JR103711", "externalId" : "JR103711", "industryFunction" : { }, "locationPoint" : "24.1469,120.6839", "structuredLocations" : [ { "city" : "Taichung", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "24.1631620,120.6478282" } ], "locationText" : "Taichung, Taiwan", "employmentType" : "FULL_TIME", "experienceLevel" : "Experienced", "technicalSkills" : "Object-oriented design, Clean code, API design, Service integration, Cloud-native, CI/CD pipelines, Containerized deployments, Data modeling, Relational databases, Non-relational databases, Database technologies, Data Storage Solutions, Network architecture, Backend frameworks, Frontend frameworks, RESTful APIs, SQL, NoSQL, Kubernetes, AI, LLMs, Embeddings, Search, RAG", "professionalSkills" : [ "System design", "Platform enablement", "Architecture decisions", "Engineering standards", "Scalable solutions", "Lifecycle support", "Reliability", "Resiliency", "Performance", "Security", "Permissions", "Data boundaries", "Observability", "Maintainability" ], "hardSkillsList" : [ "Testing strategies", "Data persistence", "System architectures", "Operational practices", "Data storage technologies", "AI-centric development" ], "hardSkills" : [ { "name" : "Testing strategies", "level" : "intermediate" }, { "name" : "Data persistence", "level" : "intermediate" }, { "name" : "System architectures", "level" : "intermediate" }, { "name" : "Operational practices", "level" : "intermediate" }, { "name" : "Data storage technologies", "level" : "intermediate" }, { "name" : "AI-centric development", "level" : "intermediate" } ], "majorSkills" : "Full Stack Engineering, AI-centric development, Custom AI Agents, Prompt Engineering", "majorSkillsList" : [ "Full Stack Engineering", "AI-centric development", "Custom AI Agents", "Prompt Engineering" ], "coreResponsibilities" : "Contribute to platform enablement, Contribute to architecture decisions, Contribute to code reviews, Contribute to shared engineering standards, Design full stack software solutions, Build full stack software solutions, Test full stack software solutions, Deploy full stack software solutions, Operate full stack software solutions, Own features end-to-end, System design, Platform implementation, Testing, Observability, Lifecycle support, Collaborate with business teams, Translate requirements into scalable solutions, Design Custom AI Agents, Implement Custom AI Agents, Support workflows, Task automation, Decision support, Summarization, Multi-step reasoning, Tool-driven execution, Fluent in prompt engineering, Fluent in Vibe Coding Prototypes, Build systems, Integrate systems, Enable structured context sharing, Expose tools and capabilities, Interoperability across AI components, Integrate applications with AI services, Harden AI components, Utilize retrieval-augmented generation (RAG) systems, Use AI-assisted tools, Accelerate development, Code generation, Refactoring, Test creation, Documentation, Critically evaluate AI-generated output, Refine AI-generated output, Apply human judgment to architecture, Apply human judgment to correctness, Apply human judgment to long-term maintainability", "teamCollaboration" : "Collaborating across engineering teams; Collaborating across business teams", "domainKnowledge" : "Memory and storage solutions; AI; Full-Stack solutions; AI capabilities; AI coding assistants; Prompt Engineering; Vibe Coding; Rework Rate Reduction; Custom Agents; Model Context Protocol (MCP); Production systems; Development workflows; AI-centric full stack development; Task automation; Decision support; Multi-step reasoning; Tool-driven execution; Structured context sharing; LLM-based agents; AI components; Retrieval-augmented generation (RAG); AI-enabled development practices; AI-generated output; Object-oriented design; Clean code practices; Testing strategies; Long-term maintainability; Production-grade backend systems; Full-stack systems; API design; Service integration; Data persistence; Scalable system architectures; Cloud-native environments; CI/CD pipelines; Containerized deployments; Operational practices; Data modeling; Storage technologies; Relational databases; Non-relational databases; Database technologies; Data Storage Solutions; Network architecture; Software end-to-end; Design; Implementation; Testing; Deployment; Observability; Lifecycle support; Custom AI agents; Chat interfaces; Agent skills; AI native skills; Prompt Engineering; Vibe Coding; Context Window management; Chain of thoughts Design; Model Context Protocol (MCP); Structured agent/tool interfaces; Prompt design; Tool invocation; Hallucination risk; Failure modes; Permissions; Guardrails in AI-enabled systems; RAG-based systems; Innovative memory; Storage solutions; Data economy; Artificial intelligence; 5G applications", "domainList" : [ "memory-and-storage-solutions", "ai", "full-stack-solutions", "ai-capabilities", "ai-coding-assistants", "prompt-engineering", "vibe-coding", "rework-rate-reduction", "custom-agents", "model-context-protocol-mcp", "production-systems", "development-workflows", "ai-centric-full-stack-development", "task-automation", "decision-support", "multi-step-reasoning", "tool-driven-execution", "structured-context-sharing", "llm-based-agents", "ai-components", "retrieval-augmented-generation-rag", "ai-enabled-development-practices", "ai-generated-output", "object-oriented-design", "clean-code-practices", "testing-strategies", "long-term-maintainability", "production-grade-backend-systems", "full-stack-systems", "api-design", "service-integration", "data-persistence", "scalable-system-architectures", "cloud-native-environments", "ci-cd-pipelines", "containerized-deployments", "operational-practices", "data-modeling", "storage-technologies", "relational-databases", "non-relational-databases", "database-technologies", "data-storage-solutions", "network-architecture", "software-end-to-end", "design", "implementation", "testing", "deployment", "observability", "lifecycle-support", "custom-ai-agents", "chat-interfaces", "agent-skills", "ai-native-skills", "context-window-management", "chain-of-thoughts-design", "structured-agent-tool-interfaces", "prompt-design", "tool-invocation", "hallucination-risk", "failure-modes", "permissions", "guardrails-in-ai-enabled-systems", "rag-based-systems", "innovative-memory", "storage-solutions", "data-economy", "artificial-intelligence", "5g-applications" ], "domainSpecificKnowledge" : [ "Memory and storage solutions", "AI", "Full-Stack solutions", "AI capabilities", "AI coding assistants", "Prompt Engineering", "Vibe Coding", "Rework Rate Reduction", "Custom Agents", "Model Context Protocol (MCP)", "Production systems", "Development workflows", "AI-centric full stack development", "Task automation", "Decision support", "Multi-step reasoning", "Tool-driven execution", "Structured context sharing", "LLM-based agents", "AI components", "Retrieval-augmented generation (RAG)", "AI-enabled development practices", "AI-generated output", "Object-oriented design", "Clean code practices", "Testing strategies", "Long-term maintainability", "Production-grade backend systems", "Full-stack systems", "API design", "Service integration", "Data persistence", "Scalable system architectures", "Cloud-native environments", "CI/CD pipelines", "Containerized deployments", "Operational practices", "Data modeling", "Storage technologies", "Relational databases", "Non-relational databases", "Database technologies", "Data Storage Solutions", "Network architecture", "Software end-to-end", "Design", "Implementation", "Testing", "Deployment", "Observability", "Lifecycle support", "Custom AI agents", "Chat interfaces", "Agent skills", "AI native skills", "Prompt Engineering", "Vibe Coding", "Context Window management", "Chain of thoughts Design", "Model Context Protocol (MCP)", "Structured agent/tool interfaces", "Prompt design", "Tool invocation", "Hallucination risk", "Failure modes", "Permissions", "Guardrails in AI-enabled systems", "RAG-based systems", "Innovative memory", "Storage solutions", "Data economy", "Artificial intelligence", "5G applications" ], "toolProficiency" : [ "AI-assisted tools", "Kubernetes-based container platforms" ], "documentationSkills" : "Documentation", "innovationCreativity" : "Innovative memory; Storage solutions", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Significantly shorten development cycles; Significantly shorten feedback cycles; Automate routine engineering work; Augment human decision-making; Embed intelligence into development workflows; Embed intelligence into applications", "qualificationsBasic" : "Bachelor's degree in computer science, Fluent English communication skill", "qualificationsPreferred" : "Master's degree in computer science, Experience with AI coding assistants, Experience with Prompt Engineering, Experience with Vibe Coding, Experience with Rework Rate Reduction, Experience with Custom Agents, Experience with Model Context Protocol (MCP), Experience designing Custom AI agents, Experience developing skills for custom agents, AI native skills, Prompt Engineering, Vibe Coding, Context Window management, Chain of thoughts Design, Experience integrating systems using Model Context Protocol (MCP), Experience with equivalent structured agent/tool interfaces, Understanding of prompt design, Understanding of tool invocation, Ability to reason about hallucination risk, Ability to reason about failure modes, Ability to reason about permissions, Ability to reason about guardrails in AI-enabled systems, Hands-on experience integrating RAG-based systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Our vision is to transform how the world uses information to enrich life for _all_. ** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. An AI Full Stack Engineer builds modern applications using AI as a first class capability—both as part of the development workflow but also designing, architecting, and delivering AI capabilities across the Micron enterprise. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles—by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver. **Core Full Stack Engineering:** * Contribute to platform enablement, architecture decisions, code reviews, and shared engineering standards * Design, build, test, deploy, and operate full stack software solutions * Own features end‑to‑end: system design, platform implementation, testing, observability, and lifecycle support * Collaborate with business teams to translate requirements into scalable solutions **AI** ‑**centric full stack development** * Design and implement **Custom AI Agents** to support workflows such as: * Task automation * Decision support and summarization * Multi‑step reasoning and tool‑driven execution * Fluent in prompt engineering and Vibe Coding Prototypes * Build and integrate systems using the **Model Context Protocol (MCP)** to enable: * Structured context sharing between models, tools, and agents * Tool and capability exposure to LLM‑based agents * Interoperability across AI components without hard‑coded integrations * Integrate applications with external and internal AI services (LLMs, embeddings, search, tools) via well‑designed APIs * Harden AI components for 24x7 mission critical physical manufacturing systems with attention to: * Reliability and resiliency * Latency and performance * Security, permissions, and data boundaries * Observability and maintainability * Utilize **retrieval‑augmented generation (RAG)** systems **AI‑enabled development practices** * Use AI‑assisted tools to accelerate development (code generation, refactoring, test creation, documentation) * Critically evaluate and refine AI‑generated output rather than accepting it blindly * Apply human judgment to architecture, correctness, and long‑term maintainability **Core full stack engineering skills and requirements** * Strong foundation in full stack software engineering fundamentals, including **object-oriented design, clean code practices, testing strategies** , and long-term maintainability. * Proven experience building and operating production-grade backend or full-stack systems, including **API design, service integration** , and **data persistence.** * Ability to design and evolve scalable system architectures, making thoughtful tradeoffs across performance, reliability, security, and developer productivity. * Experience working in **cloud-native environments, including CI/CD pipelines, containerized deployments** , and modern operational practices. * Solid understanding of **data modeling and storage technologies, spanning relational and non-relational databases** , and selecting the right tool for the problem. Full Stack knowledge includes all modern Database technologies, Data Storage Solutions, and Network architecture. * Track record of owning software end-to-end—from design and**implementation through testing, deployment, observability, and lifecycle support**. * Comfortable collaborating across engineering and business teams to translate requirements into robust, scalable solutions. * Technologies you may encounter include modern backend frameworks (for example C#, ASP.NET), frontend frameworks (for example Angular), RESTful APIs, SQL and NoSQL databases, and Kubernetes-based container platforms. * At least bachelor’s degree in computer science, Information Systems or a related field * Fluent English communication skill. **AI‑centric skills** * Experience designing and implementing **Custom AI agents** beyond simple chat interfaces. This should include experience developing skills for custom agents. * AI native skills like **Prompt Engineering, Vibe Coding, Context Window management & Chain of thoughts Design** * Experience integrating systems using **Model Context Protocol (MCP)** or equivalent structured agent/tool interfaces * Strong understanding of prompt design and tool invocation * Ability to reason about **hallucination risk, failure modes, permissions, and guardrails in AI** ‑**enabled systems** * Hands‑on experience integrating **RAG‑based systems** **About Micron Technology, Inc.** We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life _for all_. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact at [hrsupport_taiwan@micron.com](mailto:hrsupport_taiwan@micron.com). Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.", "summaryDescription" : "AI-Enabled Full Stack Developer at AI-Enabled Full Stack Developer. Skills: Full Stack Engineering, AI-centric development, Custom AI Agents, Prompt Engineering. Contribute to platform enablement. Contribute to architecture decisions", "postedDate" : "2026-06-11T15:48:35.589", "createdAt" : "2026-06-11T15:48:35.544", "lastUpdated" : "2026-06-12T19:45:04.092", "ingestTimestamp" : "2026-06-11T15:48:35.544", "mongoId" : "6a2a688574d8ee00a063471d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://micron.wd1.myworkdayjobs.com/External/job/Taichung---AATT-Taiwan/AI-Enabled-Full-Stack-Developer---Experienced_JR103711", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Testing strategies", "Data persistence", "System architectures", "Operational practices", "Data storage technologies", "AI-centric development", "Full Stack Engineering", "Custom AI Agents", "Prompt Engineering", "System design", "Platform enablement", "Architecture decisions", "Engineering standards", "Scalable solutions", "Lifecycle support", "Reliability", "Resiliency", "Performance", "Security", "Permissions", "Data boundaries", "Observability", "Maintainability", "Memory and storage solutions", "AI", "Full-Stack solutions", "AI capabilities", "AI coding assistants", "Vibe Coding", "Rework Rate Reduction", "Custom Agents", "Model Context Protocol (MCP)", "Production systems", "Development workflows", "AI-centric full stack development", "Task automation", "Decision support", "Multi-step reasoning", "Tool-driven execution", "Structured context sharing", "LLM-based agents", "AI components", "Retrieval-augmented generation (RAG)", "AI-enabled development practices", "AI-generated output", "Object-oriented design", "Clean code practices", "Long-term maintainability", "Production-grade backend systems", "Full-stack systems", "API design", "Service integration", "Scalable system architectures", "Cloud-native environments", "CI/CD pipelines", "Containerized deployments", "Data modeling", "Storage technologies", "Relational databases", "Non-relational databases", "Database technologies", "Data Storage Solutions", "Network architecture", "Software end-to-end", "Design", "Implementation", "Testing", "Deployment", "Custom AI agents", "Chat interfaces", "Agent skills", "AI native skills", "Context Window management", "Chain of thoughts Design", "Structured agent/tool interfaces", "Prompt design", "Tool invocation", "Hallucination risk", "Failure modes", "Guardrails in AI-enabled systems", "RAG-based systems", "Innovative memory", "Storage solutions", "Data economy", "Artificial intelligence", "5G applications", "AI-assisted tools", "Kubernetes-based container platforms" ], "skillCount" : 88, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69ce5e3b9bc74574cb6779e9", "title" : "Working student Requirements Engineering for CDCC2. 0 Baselayer Software Development", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the automotive industry in Sindelfingen, Germany, adjusted for company size and specific role." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Bela-Barenyi-Str Tor 14, , Sindelfingen" ], "timestamp" : "2026-06-15T05:09:42.518", "fingerprint" : "23462afa6c0a6a62fe01baf5cbc86b124a261229f56eb1aba9c5147c5d77c768", "source" : "taleo", "language" : "de", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=882476", "externalId" : "882476", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Software development", "professionalSkills" : [ "Requirements analysis", "Requirements review", "Requirements communication" ], "hardSkillsList" : [ "Software requirements" ], "softSkillsList" : [ "Teamwork", "Assertiveness", "Coordination" ], "hardSkills" : [ { "name" : "Software requirements", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Teamwork" }, { "name" : "Assertiveness" }, { "name" : "Coordination" } ], "majorSkills" : "Requirements Engineering, Software Development", "majorSkillsList" : [ "Requirements Engineering", "Software Development" ], "coreResponsibilities" : "Analyze software requirements, Take over requirements, Rewrite software requirements, Create software requirements, Review requirements, Fix review findings, Communicate requirements", "teamCollaboration" : "Scrum Team; Agile team; Relevant software teams", "projectManagementSkills" : [ "SCRUM", "SAFe" ], "domainKnowledge" : "CDCC; Baselayer Software; ECU", "domainList" : [ "cdcc", "baselayer-software", "ecu" ], "domainSpecificKnowledge" : [ "CDCC", "Baselayer Software", "ECU" ], "toolProficiency" : [ "MS Office" ], "communicationSkills" : "Written communication; Spoken communication", "problemSolvingSkills" : "Analytical mindset", "qualificationsBasic" : "Degree in software engineering, Degree in informatics, Comparable course of study, Confident handling MS Office, Confident knowledge German, Confident knowledge English", "qualificationsPreferred" : "Programming skills advantage, SCRUM know-how advantage", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Become a part of a exciting and agile team! We are a Scrum Team who develops Baselayer Software of CDCC (Central Driving and Charging Controller) ECU, we validate this software using test suits and test benches as well as flash it on the actual hardware for further testing. Your main tasks will be: Analyzing the software requirements from other ECUs and take them over for CDCC Rewrite or create new software requirements for CDCC Review and fix review findings for these requirements Communicate these requirements to all relevant software teams We are proud of: A mini lab with more than 10 test benches where we test and validate our software Working according to SCRUM principals in SAFe framework Diverse and highly motivated software engineers with years of experience Our stunning products, having a chance to see our extraordinary cars upclose everyday Amazing cafes and canteens throughout the campus Sindelfingen The activity can begin from May 2026. Degree program in the field of software engineering, informatics or a comparable course of study Confident handling of MS Office Programming skills as well as SCRUM know-how are an advantage, but not mandatory Confident knowledge of German and English, both written and spoken Commitment and ability to work in a team Enthusiasm for software development Analytical mindset and strategic way of working Understanding of complex processes Quick comprehension and independent way of working Assertiveness, communication and coordination skills Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working student Requirements Engineering for CDCC2. 0 Baselayer Software Development at Mercedes-Benz AG. Skills: Requirements Engineering, Software Development. Analyze software requirements. Take over requirements", "createdAt" : "2026-06-14T08:20:35.120", "lastUpdated" : "2026-06-15T05:09:42.518", "ingestTimestamp" : "2026-06-14T08:20:35.120", "mongoId" : "69ce5e3b9bc74574cb6779e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Software requirements", "Teamwork", "Assertiveness", "Coordination", "Requirements Engineering", "Software Development", "Requirements analysis", "Requirements review", "Requirements communication", "SCRUM", "SAFe", "CDCC", "Baselayer Software", "ECU", "MS Office" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2aaa0574d8ee00a06c3cd8", "title" : "AI-Enabled People Operations Intern", "company" : "Board Intelligence", "industry" : "Computer Software", "salary" : { "min" : 20800.0, "max" : 26000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the UK market baseline for an entry-level AI-Enabled People Operations Intern in London, adjusted for the technology industry and internship employment type." }, "location" : "London, England, United Kingdom", "locations" : [ "London, England, United Kingdom" ], "timestamp" : "2026-06-14T09:32:51.178", "fingerprint" : "dad4daf7ceeeb50e2566c1f149d09dc61f1531be8f126d30c5b1d02c94dd6374", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/5F93984C32/apply", "externalId" : "5F93984C32", "industryFunction" : { }, "locationPoint" : "51.50853,-0.12574", "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Manchester", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.4424618,-2.2324547" } ], "locationText" : "London, England, United Kingdom; Manchester, United Kingdom", "employmentType" : "TEMPORARY", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "People operations", "Data hygiene", "Reporting infrastructure", "Workflow automation" ], "hardSkillsList" : [ "Data analysis", "Automation platforms", "API integration" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Automation platforms", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" } ], "majorSkills" : "People data, Reporting, Automation", "majorSkillsList" : [ "People data", "Reporting", "Automation" ], "coreResponsibilities" : "Centralise People data, Build reporting infrastructure, Automate workflows, Ensure employee records are complete, Ensure employee records are current, Build reports on HRIS, Build dashboards on HRIS, Set up automation workflows, Review employee records, Flag records needing update, Resolve record issues, Build recurring reports, Design and build dashboard, Set up workflows, Flag missing documents, Alert managers to outdated information, Trigger reports on schedule, Pull data from ELMO", "teamCollaboration" : "Work with managers; Work with team members; Work with People team", "domainKnowledge" : "Board effectiveness; AI and governance", "domainList" : [ "board-effectiveness", "ai-and-governance" ], "domainSpecificKnowledge" : [ "Board effectiveness", "AI and governance" ], "toolProficiency" : [ "ELMO", "Zapier", "Make" ], "documentationSkills" : "Clear documentation", "continuousLearning" : "Learn ELMO API; Connect systems using automation", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Ensure critical information is current; Establish tracking system for updates; Build and test recurring reports; Design and deploy automated workflow; Hand over clear documentation", "qualificationsBasic" : "Data and analytics mindset, Practical experience with AI tools and automation, Ability to learn new systems quickly, Comfort with detail work and problem-solving, Willingness to chase people and follow up on gaps", "qualificationsPreferred" : "Experience with HRIS systems, HR operations experience, Python or basic scripting, API integration experience, SQL or data querying", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Board Intelligence is a technology and advisory firm on a mission to make boards more effective — and through them, build better businesses and benefit society. We do this through a suite of AI powered software tools, evaluation frameworks, and advisory services, built on twenty years of boardroom experience. Our work improves how boards operate and how leaders make decisions at the highest level. We work with over 80,000 leaders and 3,000 organisations globally, including clients across the Fortune 500, FTSE 100, and OMX 30. In 2024 we received substantial backing from K1 Investment Management, the leading B2B Enterprise SaaS investor, marking the start of a significant new chapter for the business. We are growing and growing fast. That means real opportunities for the people who join us now — to shape how we scale, to work at the intersection of AI and governance, and to do some of the most commercially and intellectually interesting work in their careers. We are also deliberate about how we grow. Our founders and leadership team are deeply invested in keeping the culture that got us here: thoughtful, high calibre, and genuinely human. We are a company where ambition and balance are not in competition. If that sounds like the right environment for you, we would love to hear from you. **Our Mission** We unleash the potential of organisations through the science of board effectiveness, building better businesses and benefiting society. **The Opportunity ** We're looking for an AI-Enabled People Operations Intern to solve a real operational problem; centralise our People data, build reporting infrastructure, and automate the workflows that will let us scale. You'll report directly to Az, our People and AI Enablement Partner. Based in our London office 3 to 4 days per week, you'll work on three interconnected priorities: ensuring our employee records are complete and current, building our reports and dashboards on our HRIS (ELMO), and setting up automation workflows that run without manual intervention. This isn't make-work. The systems you build will power how the People team operates. The data you clean will form the foundation for everything that follows. The automation you set up will stay in place long after you leave. **The Role ** You'll help us solve a real operational problem; our People data is fragmented across folders and systems, making it hard to report accurately on employee information, compliance status, and team metrics. Your job is to centralise this data, automate the tedious parts, and build the reporting infrastructure so the People team (and eventually the business) can trust the data and act on it. You'll work on three interconnected areas, in this order: 1\\. Data hygiene and compliance To support the reporting and automation systems that follow, you need reliable data foundations. You'll systematically review employee records in Elmo and our People folders, flag anything that needs updating or completing, and work with managers and team members to resolve it. You're building the data confidence the People team needs to scale operations. 2\\. Building reports and dashboards Once you understand the data, you'll build recurring reports in Elmo that surface the information the People team needs: current notice periods, document status, headcount by team, upcoming anniversaries, anything else that matters for planning and compliance. You'll design and build at least one Elmo dashboard with key People metrics. This becomes the single source of truth. 3\\. Automating workflows The manual parts should be automated. You'll use the Elmo API, Zapier, Make, or similar tools to set up workflows that flag missing documents, alert managers to outdated information, trigger reports on schedule, or pull data from Elmo into other systems. The goal is to move the People team from \"manually checking folders\" to \"receiving alerts when something needs attention\". **Requirements** Who We're Looking For You have a strong foundation in data and analytics. You understand how to work with AI tools and automation platforms to solve operational problems. You're comfortable learning APIs and integrations on the fly. You're probably studying data science, business analytics, statistics, computer science, or a related field, or you have HR operations experience and want to deepen your technical skills. You don't need to be a software engineer, but you do need to be genuinely interested in how systems connect and how to automate manual work. Essential: * Data and analytics mindset * Practical experience with AI tools and automation (Zapier, Make, Python, or similar) * Ability to learn new systems (Elmo, APIs, automation platforms) quickly * Comfort with detail work and problem-solving * Willingness to chase people and follow up on gaps Valuable but not essential: * Experience with HRIS systems or HR operations * Python or basic scripting * API integration experience * SQL or data querying **Benefits** By the end of the internship, you will have: * Reviewed all employee records and ensured critical information (notice periods, key documents, contact details) is current and documented; established a tracking system for ongoing updates * Built and tested one or two recurring reports in Elmo that the People team actually uses * Designed and deployed at least one automated workflow (e.g. missing Expression of Wish form alerts, notice period reminders, scheduled data pulls) that runs without manual intervention * Handed over clear documentation so the People team can maintain and extend these workflows * You'll also understand how Elmo works, how to use its API, and how to connect systems together using automation platforms. That knowledge is yours to take forward. **Why This Matters ** Board Intelligence is building AI capability across the business. The People team manages that programme. You'll solve a real problem, build something that lasts, and learn how to use AI and automation to scale operational work. By the end of this, you'll have a genuine project you can talk about in interviews: you took fragmented data, built systems to clean and organise it, and automated the workflows so it stays clean.", "summaryDescription" : "AI-Enabled People Operations Intern at Board Intelligence. Skills: People data, Reporting, Automation. Centralise People data. Build reporting infrastructure", "postedDate" : "2026-06-11T00:00:00.000", "createdAt" : "2026-06-11T22:45:44.940", "lastUpdated" : "2026-06-14T09:32:51.178", "ingestTimestamp" : "2026-06-11T22:45:44.940", "mongoId" : "6a2aaa0574d8ee00a06c3cd8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/5F93984C32", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Automation platforms", "API integration", "People data", "Reporting", "Automation", "People operations", "Data hygiene", "Reporting infrastructure", "Workflow automation", "Board effectiveness", "AI and governance", "ELMO", "Zapier", "Make" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "computer-software", "seniorityLevel" : "junior", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6ace74d8ee00a090e14c", "title" : "AI Workflow Specialist", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Workflow Specialist in the US technology industry, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T13:30:29.401", "fingerprint" : "306ac419ec1a6ccb927e2ebef39b40bc832c833373f19a9d08f45b1d89c4dc88", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266793009", "externalId" : "4266793009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine learning", "professionalSkills" : [ "Data engineering", "Evaluation frameworks", "Human expertise" ], "hardSkillsList" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Data fine-tuning" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Data fine-tuning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, AI model evaluation", "majorSkillsList" : [ "Generative AI", "Large Language Models", "AI model evaluation" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels, Create training data, Apply data transformations, Review data, Identify product feature functionality, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses to prompts, Rewrite existing text, Produce concise summaries, Convert spoken language to text, Convert text to another language, Gather data for AI models, Compile digital content", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "Bachelor's degree or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "Advanced degrees strongly preferred, Master's or PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Workflow Specialist at Innodata Inc.. Skills: Generative AI, Large Language Models, AI model evaluation. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T08:37:12.599", "createdAt" : "2026-06-14T08:37:12.599", "lastUpdated" : "2026-06-15T13:30:29.401", "ingestTimestamp" : "2026-06-14T08:37:12.599", "mongoId" : "6a2c6ace74d8ee00a090e14c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Content evaluation", "Data transformation", "Data gathering", "Data compilation", "Data fine-tuning", "Generative AI", "Large Language Models", "AI model evaluation", "Data engineering", "Evaluation frameworks", "Human expertise" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e14b", "title" : "AI Workflow Associate", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 31200.0, "max" : 46800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level AI Workflow Associate in the US technology industry, adjusted for part-time employment." }, "location" : "ISL - Remote - US", "locations" : [ "ISL - Remote - US" ], "timestamp" : "2026-06-15T04:52:42.022", "fingerprint" : "2ec8c220ecdf991468affe3e2945c5393720f730070f774b75550dce846e7cb6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4266794009", "externalId" : "4266794009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Generative AI, Large Language Models, Machine learning", "professionalSkills" : [ "Data engineering", "Quantitative analysis", "Analytics engineering" ], "hardSkillsList" : [ "Data labeling", "Data transformation", "Prompt creation", "Text summarization", "Translation" ], "hardSkills" : [ { "name" : "Data labeling", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Prompt creation", "level" : "intermediate" }, { "name" : "Text summarization", "level" : "intermediate" }, { "name" : "Translation", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Large Language Models, Data labeling", "majorSkillsList" : [ "Generative AI", "Large Language Models", "Data labeling" ], "coreResponsibilities" : "Rate AI model performance, Label content elements, Assign predefined categories, Evaluate content quality, Generate labels for concepts, Create training data, Review data for feature functionality, Label model outputs, Order or rank items, Create prompts for AI systems, Evaluate content relevance, Generate responses from AI, Rewrite existing text, Produce concise summaries, Convert audio to text, Translate text from one language to another, Gather and compile data", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "qualificationsBasic" : "Bachelor's degree or higher, Professional or Expert level proficiency in English", "qualificationsPreferred" : "Advanced degrees strongly preferred, Master's or PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "AI Workflow Associate at Innodata Inc.. Skills: Generative AI, Large Language Models, Data labeling. Rate AI model performance. Label content elements", "postedDate" : "2026-06-14T02:48:26.748", "createdAt" : "2026-06-14T02:48:26.748", "lastUpdated" : "2026-06-15T04:52:42.022", "ingestTimestamp" : "2026-06-14T02:48:26.748", "mongoId" : "6a2c6ace74d8ee00a090e14b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryAnnualMax" : 46800, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data labeling", "Data transformation", "Prompt creation", "Text summarization", "Translation", "Generative AI", "Large Language Models", "Data engineering", "Quantitative analysis", "Analytics engineering" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7ae574d8ee00a09474bc", "title" : "Strategic Account Manager, Workflows", "company" : "Unchained Labs", "industry" : "Biotech", "salary" : { "min" : 135000.0, "max" : 155000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "European Field", "locations" : [ "European Field" ], "timestamp" : "2026-06-16T01:27:24.022", "fingerprint" : "f85590657a0f3fbaee72a6ae9227ea74c99983fd90d172db81076d488360bddf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/unchainedlabs/jobs/8578218002", "externalId" : "8578218002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Salesforce CRM", "professionalSkills" : [ "Solution sales", "Sales forecasting" ], "hardSkillsList" : [ "Sales target achievement" ], "hardSkills" : [ { "name" : "Sales target achievement", "level" : "intermediate" } ], "majorSkills" : "Account management, Sales, R&D productivity", "majorSkillsList" : [ "Account management", "Sales", "R&D productivity" ], "coreResponsibilities" : "Sell Stuntman product, Develop understanding of R&D pains, Map pains to solution value, Generate new sales leads, Create awareness for products, Conduct technical presentations, Develop collaborative relationships, Keep CRM system up to date, Qualify leads from Marketing, Navigate customer purchasing process, Provide accurate sales forecasts, Achieve quarterly sales targets, Achieve annual sales targets, Maintain positive customer relations", "teamCollaboration" : "Collaboration with Field Automation Scientists; Relationships with senior managers; Relationships with VP; Relationships with key opinion leaders", "domainKnowledge" : "Drug development; Chemicals; Material science; Laboratory automation", "domainList" : [ "drug-development", "chemicals", "material-science", "laboratory-automation" ], "domainSpecificKnowledge" : [ "Drug development", "Chemicals", "Material science", "Laboratory automation" ], "toolProficiency" : [ "Salesforce" ], "communicationSkills" : "Technical presentations", "continuousLearning" : "Open mindset; Intellectual curiosity", "problemSolvingSkills" : "R&D pains analysis", "specialRequirements" : "Travel up to 25%", "outcomesObjectives" : "Achieve quarterly sales targets; Achieve annual sales targets", "qualificationsBasic" : "Bachelor's degree in related scientific field, 8-10+ years sales experience, Life science, chemical, or materials industries sales experience, Laboratory equipment or automation sales experience, Enterprise-level solution sales experience, Sales success and exceeding quota track record, Selling in complex purchasing environments track record, Extensive contacts in customer organizations, Salesforce CRM experience", "qualificationsPreferred" : "Graduate-level degree, Experience with enterprise-level solution sales", "workSiteFlexibility" : "Flexible", "rawDescription" : "The Top Line Here’s the deal. We’re all about helping biologics and gene therapy researchers break free from tools that just don’t cut it. Unleashing problem-tackling solutions and AI-driven automation that make a huge difference in the real science they do every day. That’s our mantra, our promise and we own it. Automation is harder than it should be. Our AI-driven, fundamentally flexible Stuntman turns plain-language intent into action by planning experiments, guiding closed-loop automation, interpreting results, and capturing structured data at every step - all on a fit-for-purpose deck. The Job We need a high-octane Strategic Account Manager to sell our AI-driven Stuntman product and grow the business. Stuntman enables dramatic gains in R&D productivity and innovation in drug development, chemicals, and material science organizations by providing intelligent laboratory automation solutions. We need people to roll up their sleeves, sweat, think outside the box, collaborate with our customers and create something special with us. Responsibilities Sell our Stuntman product in the assigned geography Develop an understanding of R&D pains and map to value of Unchained Labs solutions Generate new sales leads and opportunities and create awareness for our products in the region Conduct technical presentations, at times in collaboration with Field Automation Scientists Develop collaborative relationships with senior managers, VP, and key opinion leaders at customer accounts Keep CRM system (Salesforce) up to date and qualify leads from Marketing Navigate orders through the customer purchasing process Provide accurate sales forecasts (monthly/quarterly) Achieve quarterly and annual sales targets Maintain positive customer relations Qualifications Bachelor’s degree in a related scientific field, graduate-level degree preferable 8-10+ years’ sales experience in the life science, chemical, or materials industries with laboratory equipment or automation, experience with enterprise-level solution sales is highly desirable Demonstrated track record of sales success and exceeding quota Demonstrated track record of selling in complex purchasing environments with multiple decision makers Extensive contacts in customer organizations in the assigned territory Experience with Salesforce CRM Travel up to 25% overnight (when necessary and possible) Open mindset and inherent intellectual curiosity Preferred location – United Kingdom Compensation The UK base salary range for this full-time position is 135,000 GBP – 155,000 GBP. This salary range is an estimate, and the actual base salary may vary based on the Company’s compensation practices. This role is also eligible for our commission program.", "summaryDescription" : "Strategic Account Manager, Workflows at Unchained Labs. Skills: Account management, Sales, R&D productivity. Sell Stuntman product. Develop understanding of R&D pains", "postedDate" : "2026-06-14T20:02:29.422", "createdAt" : "2026-06-14T20:02:29.422", "lastUpdated" : "2026-06-16T01:27:24.022", "ingestTimestamp" : "2026-06-14T20:02:29.422", "mongoId" : "6a2c7ae574d8ee00a09474bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Sales target achievement", "Account management", "Sales", "R&D productivity", "Solution sales", "Sales forecasting", "Drug development", "Chemicals", "Material science", "Laboratory automation", "Salesforce" ], "skillCount" : 11, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2ce6f174d8ee00a0a6626a", "title" : "Product Manager, New Products (0 → 1, AI-Enabled)", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Product Manager in the Technology industry in Wakefield, United States, adjusted for manager experience and full-time employment." }, "location" : "Wakefield, MA", "locations" : [ "Wakefield, MA" ], "timestamp" : "2026-06-15T23:28:58.690", "fingerprint" : "16904a9527831314bc3558ec3a6ac4424e1451974900f0c49e998346e15bfb91", "source" : "jazzhr", "language" : "en", "externalId" : "7AU0ztRI7f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wakefield", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.5064840,-71.0728306" } ], "locationText" : "Wakefield, Massachusetts, United States", "experienceMinYears" : 0, "experienceLevel" : "Manager", "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional collaboration", "domainKnowledge" : "AI-Enabled products", "domainList" : [ "ai-enabled-products" ], "domainSpecificKnowledge" : [ "AI-Enabled products" ], "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "summaryDescription" : "Product Manager, New Products (0 → 1, AI-Enabled). Develop product strategy. Define product roadmap", "createdAt" : "2026-06-14T21:56:31.789", "lastUpdated" : "2026-06-15T23:28:58.690", "ingestTimestamp" : "2026-06-14T21:56:31.789", "mongoId" : "6a2ce6f174d8ee00a0a6626a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI-Enabled products" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8f0874d8ee00a097d4ac", "title" : "AI Workflow Engineer", "company" : "Serotonin", "industry" : "AI", "salary" : { "min" : 80000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "New York", "locations" : [ "New York", "San Francisco", "Chicago", "Los Angeles" ], "timestamp" : "2026-06-16T00:46:16.773", "fingerprint" : "e6df58ecd765ae8766053ada32382eab81c91544f1eeb58d2e22768e7f4b6283", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/serotonin/eca20c47-3b04-44e9-a45e-34882833015b/apply", "externalId" : "eca20c47-3b04-44e9-a45e-34882833015b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI, APIs, JSON", "professionalSkills" : [ "Workflow automation", "Strategy", "Marketing execution", "Systems thinking" ], "hardSkillsList" : [ "Prompt engineering", "Workflow design", "Automation" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "AI Workflows, Marketing Automation, Prompt Engineering", "majorSkillsList" : [ "AI Workflows", "Marketing Automation", "Prompt Engineering" ], "coreResponsibilities" : "Diagnose bottlenecks, Map how work moves, Identify where things slow down, Build workflow systems, Build AI-powered workflows, Build content pipelines, Build campaign pipelines, Build no-code automations, Own operational backbone for AI adoption, Level up AI proficiency, Diagnose GTM bottlenecks, Build AI-assisted solutions, Evaluate tools, Test tools, Onboard tools, Define how to measure impact, Build reports", "teamCollaboration" : "Marketing leads; Account teams; Internal teams; External client teams; Global team", "domainKnowledge" : "Go-to-market strategy; Marketing operations; Web3; Digital assets; AI creative tools; Martech stack; Campaign brief; Distribution workflow", "domainList" : [ "go-to-market-strategy", "marketing-operations", "web3", "digital-assets", "ai-creative-tools", "martech-stack", "campaign-brief", "distribution-workflow" ], "domainSpecificKnowledge" : [ "Go-to-market strategy", "Marketing operations", "Web3", "Digital assets", "AI creative tools", "Martech stack", "Campaign brief", "Distribution workflow" ], "toolProficiency" : [ "Make", "Zapier", "N8n", "HubSpot", "Notion", "Slack" ], "innovationCreativity" : "Tinkering with new tools; Experimenting with new tools", "problemSolvingSkills" : "Diagnose bottlenecks; Map workflows; Solve problems", "outcomesObjectives" : "Compress timelines; Improve output quality; Unlock competitive advantage; Create real client impact", "qualificationsBasic" : "Prompt engineering across major LLMs, Hands-on experience with workflow automation tools, Comfort with APIs and JSON, Understand how marketing teams operate", "qualificationsPreferred" : "Crypto or Crypto marketing experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Who is Serotonin Serotonin is the top go-to-market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, web3 infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the web3 ecosystem, connecting builders and founders with essential resources to drive business growth. About the Role We’re building the AI layer across Serotonin’s marketing operations. This role sits at the intersection of AI tooling, GTM strategy, and marketing execution. You will identify where AI can compress timelines, improve output quality, and unlock competitive advantage for our internal teams and clients - and then actually build those systems. This isn’t a role for someone who wants to talk about AI. It’s for someone who ships AI-powered workflows regularly and iterates based on the next best thing out there. You’ll work directly with marketing leads, account teams, and clients across web3, consumer tech, and AI - translating cutting-edge AI capabilities into practical GTM impact. ## Responsibilities Diagnose Bottlenecks - spend real time with our different core marketing teams before touching any tooling. Interview team members, map how work actually moves, and identify where things slow down or break. Design & Build for Multiple Teams - build the workflow systems to solve them. That means AI-powered workflows, content and campaign pipelines, and no-code automations that connect into the tools teams already use: HubSpot, Notion, Slack, various native social platforms. Workforce Adoption - You will own the operational backbone that makes AI adoption stick across a 90-person global team: prompt libraries, SOPs, workflow playbooks. You will be responsible for leveling up the AI proficiency across the team. Maintain & Scale - Work directly with internal & external client teams to diagnose GTM bottlenecks and build AI-assisted solutions, from content at scale to campaign automation to research synthesis. Upleveling - Evaluate, test, and onboard tools as the landscape shifts. Define how we measure impact: time saved, output quality, client adoption, etc and build reports around what is working and what isn't. ## Requirements The most important thing is how you approach a problem. You should be the kind of person who interviews the full team before proposing a solution, is able to map a workflow end to end after a few conversations, and gets more satisfaction from making someone else's work easier than from showing off what you built. You think in systems that serve multiple stakeholders at once. When you build something for the content team, you are already thinking about how the PR team will use a version of it next month. On the technical side: strong prompt engineering across the major LLMs, hands-on experience with workflow automation tools like Make, Zapier, or n8n in a real production context, and enough comfort with APIs and JSON to connect things when there's no native integration. Familiarity with the broader martech stack and AI creative tools matters too, but these are learnable. You should understand how a marketing team operates at the foundational level, in regards to how the PR, content, growth, and social teams actually function day to day. Knowing the difference between a campaign brief and a distribution workflow, and why that matters when you're designing an AI system around it. Crypto or Crypto marketing experience is a real plus, but not required. ## This position is ideal for someone who… Doesn’t care about rigid job titles: is equally comfortable acting as a strategist, a builder, a trainer, or an operator depending on what the problem demands Loves tinkering and experimenting with new tools before anyone else has heard of them: and has the judgment to know which ones are worth deploying at scale Gets energy from hard, ambiguous problems: not from following established playbooks, but from writing the new ones Ships fast and isn’t precious about being wrong on the first try Wants to see their work create real client impact: not just live in a deck or a Notion doc that nobody reads Believes AI is a multiplier, not a shortcut: and builds workflows that reflect the difference Thrives in a fast-moving, globally distributed team where autonomy is high and there’s no one to hand the problem off to ## Benefits Competitive Salary Health Insurance (US Only) 401(k) (US Only) Remote Work Environment Parental Leave", "summaryDescription" : "AI Workflow Engineer at Serotonin. Skills: AI Workflows, Marketing Automation, Prompt Engineering. Diagnose bottlenecks. Map how work moves", "postedDate" : "2026-06-12T19:59:28.759", "createdAt" : "2026-06-12T19:59:28.759", "lastUpdated" : "2026-06-16T00:46:16.773", "ingestTimestamp" : "2026-06-14T21:17:18.225", "mongoId" : "6a2c8f0874d8ee00a097d4ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80000, "salaryAnnualMax" : 190000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Workflow design", "Automation", "AI Workflows", "Marketing Automation", "Prompt Engineering", "Workflow automation", "Strategy", "Marketing execution", "Systems thinking", "Go-to-market strategy", "Marketing operations", "Web3", "Digital assets", "AI creative tools", "Martech stack", "Campaign brief", "Distribution workflow", "Make", "Zapier", "N8n", "HubSpot", "Notion", "Slack" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c71cd74d8ee00a092f0fc", "title" : "Working Student - Business Development (all genders)", "salary" : { "min" : 22000.0, "max" : 30000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Berlin, Germany, adjusted for the technology industry." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-16T00:16:14.593", "fingerprint" : "af0db9f4f137e56cc2517002ee4dff41a2a5e8d0415f413c5153c6c93a167dd2", "source" : "personio", "language" : "de", "applyUrl" : "https://mammaly.jobs.personio.de/job/2576088", "externalId" : "2576088", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "INTERNSHIP", "coreResponsibilities" : "Organize internal meetings, Organize external meetings, Organize events, Manage working groups, Distribute tasks, Establish collaboration formats, Support partnership development, Schedule appointments, Conduct research projects, Analyze data, Create analyses, Manage office operations", "teamCollaboration" : "External partners; Internal teams", "communicationSkills" : "Clear communication; Convincing communication", "qualificationsBasic" : "Minimum C1 German, Minimum C1 English, Residency in Berlin", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Deine Aufgaben Planung & Koordination: Organisiere interne und externe Meetings sowie Events, um sicherzustellen, dass alles reibungslos läuft und alle Beteiligten bestens informiert sind. Projekte leiten & Teams koordinieren: Verantworte Arbeitsgruppen, indem du Aufgaben sinnvoll verteilst und optimale Formate für Zusammenarbeit etablierst. Externe Kooperationen stärken: Unterstütze den Aufbau strategischer Partnerschaften durch Terminvereinbarungen und klare Kommunikation. Durchführung eigenständiger Research-Projekte, Auswertung von Daten und Erstellung fundierter Analysen zur Unterstützung der Entscheidungsprozesse im Unternehmen, Effizientes Office Management: Sorge für einen reibungslosen Büroalltag in unserem Berliner Office. Dein Profil Frische Ideen bringst du ein und weißt, wie man Meetings und Events gestaltet. Selbst in stressigen Phasen behältst du den Überblick. Als Teamplayer bist du bereit, gemeinsam Herausforderungen zu meistern. Du ergreifst proaktiv die Initiative und wartest nicht auf Anweisungen. Deine Kommunikation ist klar und überzeugend, sowohl im Team als auch mit externen Partnern. Sehr gute (min. C1) Deutsch- und Englischkenntnisse runden dein Profil ab. Dein Wohnsitz ist in Berlin und Umgebung. Warum wir?", "summaryDescription" : "Working Student - Business Development (all genders). Organize internal meetings. Organize external meetings", "createdAt" : "2026-06-14T19:42:27.987", "lastUpdated" : "2026-06-16T00:16:14.593", "ingestTimestamp" : "2026-06-14T19:42:27.987", "mongoId" : "6a2c71cd74d8ee00a092f0fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a191e7758b93c861e39f729", "title" : "Working student", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 25000.0, "max" : 35000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a working student in the technology industry in Stuttgart, Germany, adjusted for entry-level seniority." }, "location" : "Germany-Baden-Württemberg-Stuttgart", "locations" : [ "Germany-Baden-Württemberg-Stuttgart", "Benzstr., , Stuttgart" ], "timestamp" : "2026-06-15T09:50:41.439", "fingerprint" : "3e88ce9d54fd38aecd5c94222caeb010661eea03477d8a5573a8d49482e4b783", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=896058", "externalId" : "896058", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Stuttgart", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7784485,9.1800132" } ], "locationText" : "Stuttgart, Baden-Württemberg, Germany", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL, AI/ML libraries, Embedding generation, Vector databases, RAG systems, LangChain, MLflow, Multi-agent frameworks", "professionalSkills" : [ "Data management", "Information extraction", "Model training", "ML lifecycle" ], "hardSkillsList" : [ "Programming skills", "Database management", "Retrieval capabilities", "AI workflows", "Machine learning development" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "Programming skills", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Retrieval capabilities", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" }, { "name" : "Machine learning development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "domainKnowledge" : "Conversational AI; Document embedding; Information retrieval; Multi-agent systems; RAG-systems; Vector databases; Cloud-native architecture", "domainList" : [ "conversational-ai", "document-embedding", "information-retrieval", "multi-agent-systems", "rag-systems", "vector-databases", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Conversational AI", "Document embedding", "Information retrieval", "Multi-agent systems", "RAG-systems", "Vector databases", "Cloud-native architecture" ], "toolProficiency" : [ "LangChain", "Databricks", "Microsoft AI Foundry", "MLflow" ], "qualificationsBasic" : "Good programming skills Python, Experience with AI/ML libraries, Experience in SQL, Experience with RAG systems, Experience with LangChain, Experience with MLflow, Knowledge of multi-agent frameworks, Knowledge of document embedding, Knowledge of information retrieval", "qualificationsPreferred" : "Experience Databricks platform, Experience Microsoft AI Foundry, Theoretical understanding Databricks, Theoretical understanding Microsoft AI Foundry", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a dedicated AI Engineer who will play a significant role in shaping and optimizing our chatbot. You will play a key role in developing intelligent data management solutions and advanced Conversational AI systems. Gain valuable practical experience with us in product data management and get many insights into state-of-the-art technologies! These challenges await you: Design, implement, and manage document embedding storage solutions Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create and populate databases for our advanced chatbot applications Contribute to the development and deployment of RAG-systems, leveraging tools like LangChain to orchestrate complex AI workflows and ensure accurate, contextually relevant responses Explore, implement, and contribute to multi-agent frameworks for building sophisticated AI applications Utilize Databricks and Microsoft AI Foundry for data processing, model training, deployment and AI workflows Employ MLflow for experiment tracking, model management, and reproducible machine learning development Write clean, efficient, and well-documented code primarily in Python and SQL The position can start from June 2026. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a comparable field of study Good programming skills in Python, including experience with relevant AI/ML libraries Experience in SQL for effective database management Experience with RAG systems, including concepts such as embedding generation, vector databases, and retrieval capabilities Experience with LangChain for building LLM-powered applications Experience with MLflow for managing the ML lifecycle Knowledge of multi-agent frameworks and their application in developing autonomous and collaborative AI systems Knowledge of document embedding techniques and information retrieval methods Experience or a good theoretical understanding of the Databricks platform and Microsoft AI Foundry for data engineering and ML is a plus Proactive and curious mindset Ability to work effectively in a team English is mandatory, German is a plus Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working student at Mercedes-Benz AG", "createdAt" : "2026-06-14T07:02:47.849", "lastUpdated" : "2026-06-15T09:50:41.439", "ingestTimestamp" : "2026-06-14T07:02:47.849", "mongoId" : "6a191e7758b93c861e39f729", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Programming skills", "Database management", "Retrieval capabilities", "AI workflows", "Machine learning development", "Curious", "Data management", "Information extraction", "Model training", "ML lifecycle", "Conversational AI", "Document embedding", "Information retrieval", "Multi-agent systems", "RAG-systems", "Vector databases", "Cloud-native architecture", "LangChain", "Databricks", "Microsoft AI Foundry", "MLflow" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb47774d8ee00a09e8ec3", "title" : "AI Prompt & Workflow Designer", "company" : "Asana", "industry" : "SaaS", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Prompt & Workflow Designer in San Francisco, adjusted for SaaS industry and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T01:00:52.425", "fingerprint" : "47a4b6b741a97c4716794b3287094cb09bb29453b51d682bb53094da890c080f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.asana.com/jobs/apply/7985215?gh_jid=7985215", "externalId" : "7985215", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLM, Low-code, No-code", "professionalSkills" : [ "Workflow design", "Prompt engineering", "Conversation design", "System architecture", "Process optimization", "Performance analysis", "Technical documentation", "Vendor evaluation", "Feature evaluation", "Customer journey mapping", "Logic branching", "Conditional routing" ], "hardSkillsList" : [ "AI workflow design", "Chatbot development", "Copilot development", "Prompt engineering", "Workflow automation", "Data analysis", "Technical documentation" ], "hardSkills" : [ { "name" : "AI workflow design", "level" : "intermediate" }, { "name" : "Chatbot development", "level" : "intermediate" }, { "name" : "Copilot development", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" } ], "majorSkills" : "AI Prompt Design, Workflow Automation, Conversational AI, LLM Prompt Engineering", "majorSkillsList" : [ "AI Prompt Design", "Workflow Automation", "Conversational AI", "LLM Prompt Engineering" ], "coreResponsibilities" : "Design AI workflows, Construct AI workflows, Optimize AI workflows, Maintain AI workflows, Design chatbots, Construct chatbots, Optimize chatbots, Maintain chatbots, Design internal copilots, Construct internal copilots, Optimize internal copilots, Maintain internal copilots, Capture ambiguous business requirements, Architect AI workflow blueprints, Configure external-facing customer chatbots, Maintain external-facing customer chatbots, Configure internal AI copilots, Maintain internal AI copilots, Define conversation design paths, Test conversation design paths, Refine conversation design paths, Define complex prompt structures, Test complex prompt structures, Refine complex prompt structures, Define conditional routing logic, Test conditional routing logic, Refine conditional routing logic, Stitch AI workflows into tech stack, Stitch agent capabilities into tech stack, Optimize customer-facing AI chat interfaces, Optimize AI search interfaces, Build internal AI workflows, Test internal AI workflows, Iterate on internal AI workflows, Summarize cases, Surface automated knowledge suggestions, Reduce manual post-case administrative work, Monitor chatbot performance data, Analyze chatbot performance data, Analyze conversation logs, Analyze workflow drop-off points, Execute optimization strategies, Maintain master technical blueprints, Maintain workflow logic maps, Maintain prompt libraries, Evaluate emerging AI technologies, Evaluate LLM features, Evaluate vendor capabilities", "teamCollaboration" : "Partner with Services leadership; Partner with Support leadership; Partner with functional owners; Partner with technical SMEs; Partner with Customer Experience SMEs; Partner with Enterprise Technology; Partner with Product teams; Partner with Engineering teams; Collaborate with Support teams; Collaborate with Product teams; Collaborate with Engineering teams; Collaborate with vendor teams", "domainKnowledge" : "AI service delivery; Customer support operations; SaaS support; Customer journey mapping; Logic branching; Conditional routing", "domainList" : [ "ai-service-delivery", "customer-support-operations", "saas-support", "customer-journey-mapping", "logic-branching", "conditional-routing" ], "domainSpecificKnowledge" : [ "AI service delivery", "Customer support operations", "SaaS support", "Customer journey mapping", "Logic branching", "Conditional routing" ], "toolProficiency" : [ "Asana", "Fin.ai", "Salesforce", "Service Cloud" ], "communicationSkills" : "Cross-functional communication; Technical documentation", "documentationSkills" : "Technical blueprints; Workflow logic maps; Prompt libraries", "continuousLearning" : "Learn emerging technologies", "problemSolvingSkills" : "Problem-solving; Root cause analysis; Workflow bottleneck analysis", "outcomesObjectives" : "Unlock Services & Support team productivity; Build seamless internal copilot experiences; Drive world-class self-service outcomes; Maximize resolution accuracy; Drive measurable self-service resolution; Drive measurable deflection metrics; Reduce manual administrative work", "qualificationsBasic" : "6+ years Support Operations experience, 6+ years Business Systems experience, 6+ years technical CX role experience, Proven track record designing AI workflows, Proven track record building AI workflows, Proven track record designing chatbots, Proven track record building chatbots, Proven track record designing automated logic systems, Proven track record building automated logic systems, Advanced hands-on familiarity conversational AI platforms, Advanced hands-on familiarity LLM prompt engineering, Advanced hands-on familiarity low-code/no-code automation tools, Deep experience integrating tools into enterprise ticketing platforms, Exceptional cross-functional communicator, Exceptional collaborator, Ability to influence Support teams, Ability to align Support teams, Ability to influence Product teams, Ability to align Product teams, Ability to influence Engineering teams, Ability to align Engineering teams, Ability to influence vendor teams, Ability to align vendor teams, Turn abstract operational goals into precise technical logic, Assess tool usage, Analyze workflow bottlenecks, Ensure AI systems enable data reporting, Frame complex workflow issues, Confront complex workflow issues, Bring data-backed recommendations to leadership, Document complex systems clearly, Train support delivery teams, Enable support delivery teams", "qualificationsPreferred" : "Experience with SFDC, Experience with Fin, Experience with Asana, Experience integrating tools into Service Cloud ecosystems, Experience integrating tools into Salesforce ecosystems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "The AI Prompt & Workflow Designer is the strategic architect and hands-on lead responsible for the design, construction, optimization, and maintenance of Asana’s Support & Services AI workflows, chatbots, and internal copilots. Reporting to the Operations Manager - Tools & Automation, this senior individual contributor role acts as the definitive bridge between business stakeholders, Support & Services leadership, and our enterprise technology stack. You will own the technical architecture of our AI service delivery, translating complex business requirements from Subject Matter Experts (SMEs) and functional owners into scalable, automated workflows using low-code/no-code tools. Your core mission is to design the systems that unlock Services & Support team productivity, build seamless internal copilot experiences, and drive world-class self-service outcomes for our global customers. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve Partner directly with Services & Support leadership, functional owners, and technical SMEs to capture ambiguous business requirements and architect them into highly effective, structured AI workflow blueprints Lead the hands-on creation, configuration, and long-term maintenance of external-facing customer chatbots and internal AI copilots designed to assist employees in real-time Define, test, and continually refine conversation design paths, complex prompt structures, and conditional routing logic to eliminate system hallucinations and maximize resolution accuracy Partner closely with Customer Experience SMEs, Enterprise Technology, Product, and Engineering teams to stitch AI workflows and agent capabilities seamlessly into our core tech stack (e.g., Asana, Fin.ai, Salesforce, internal and external knowledge bases, and internal databases) Continuously optimize customer-facing AI chat and search interfaces to drive measurable self-service resolution and deflection metrics without sacrificing customer satisfaction. Build, test, and iterate on internal AI workflows that summarize cases, surfacing automated knowledge suggestions, and reducing manual post-case administrative work. Performance Optimization: Autonomously monitor and analyze chatbot performance data, conversation logs, and workflow drop-off points to identify and execute immediate optimization strategies. Technical Documentation: Own and maintain the master technical blueprints, workflow logic maps, and prompt libraries for all active AI integrations, ensuring clarity for both technical and non-technical audiences. Vendor & Feature Evaluation: Proactively evaluate emerging AI technologies, LLM features, and vendor capabilities that can be integrated into the support tooling ecosystem to reduce manual effort. About you Demonstrat es curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making 6+ years of experience in Support Operations, Business Systems, or a technical CX role within a high-growth B2B SaaS environment, with a proven track record of designing and building complex AI workflows, chatbots, or automated logic systems. It’s a plus if you have experience with SFDC, Fin, and Asana. Advanced hands-on familiarity with conversational AI platforms, LLM prompt engineering, and low-code/no-code automation tools. Deep experience integrating these tools into enterprise ticketing platforms (ideally Service Cloud and Salesforce ecosystems) is highly preferred. Exceptional cross-functional communicator and collaborator able to influence and align with Support, Product, Engineering, and vendor teams at all levels. You excel at taking abstract operational goals and turning them into precise technical logic. Operationally-minded with a bias for simplification, usability, and automation. You possess a deep understanding of customer journey mapping, logic branching, and conditional routing. Strong ability to assess tool usage, analyze workflow bottlenecks, and ensure all AI systems enable meaningful data reporting to back up optimization choices. Curious, proactive, and autonomous. You hold yourself accountable for outcomes, frame and confront complex workflow issues, and bring data-backed recommendations for resolution to leadership. Skilled at documenting complex systems clearly and helping train or enable support delivery teams on new AI workflows and copilot tools. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $128,000 - $145,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.", "summaryDescription" : "AI Prompt & Workflow Designer at Asana. Skills: AI Prompt Design, Workflow Automation, Conversational AI, LLM Prompt Engineering. Design AI workflows. Construct AI workflows", "postedDate" : "2026-06-14T20:10:08.835", "createdAt" : "2026-06-14T20:10:08.835", "lastUpdated" : "2026-06-16T01:00:52.425", "ingestTimestamp" : "2026-06-14T20:10:08.835", "mongoId" : "6a2cb47774d8ee00a09e8ec3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI workflow design", "Chatbot development", "Copilot development", "Prompt engineering", "Workflow automation", "Data analysis", "Technical documentation", "AI Prompt Design", "Workflow Automation", "Conversational AI", "LLM Prompt Engineering", "Workflow design", "Conversation design", "System architecture", "Process optimization", "Performance analysis", "Vendor evaluation", "Feature evaluation", "Customer journey mapping", "Logic branching", "Conditional routing", "AI service delivery", "Customer support operations", "SaaS support", "Asana", "Fin.ai", "Salesforce", "Service Cloud" ], "skillCount" : 28, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2eb80a74d8ee00a0e85e9f", "title" : "Working student", "company" : "NIBC", "industry" : "Banking", "salary" : { "min" : 14000.0, "max" : 22000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level working students in the banking industry in the Netherlands, adjusted for part-time employment." }, "location" : "Netherlands", "locations" : [ "Netherlands" ], "timestamp" : "2026-06-16T01:02:20.989", "fingerprint" : "5329595afb2687c533b50209eb8921e3686f4579a32d6d937a9204c3a717a59e", "source" : "workday", "language" : "en", "applyUrl" : "https://nibcatwork.wd3.myworkdayjobs.com/External/job/The-Hague/Working-student-Agentic-AI_R0001740", "externalId" : "R0001740", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Netherlands", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Netherlands", "employmentType" : "PART_TIME", "technicalSkills" : "Microsoft Copilot Studio, Power Automate", "hardSkillsList" : [ "Process automation", "Agentic process development" ], "hardSkills" : [ { "name" : "Process automation", "level" : "intermediate" }, { "name" : "Agentic process development", "level" : "intermediate" } ], "majorSkills" : "AI Agentic Automation, Low-code/No-code", "majorSkillsList" : [ "AI Agentic Automation", "Low-code/No-code" ], "coreResponsibilities" : "Explore agentic processes, Design agentic processes, Build agentic processes, Create AI agents, Configure AI agents, Design automated processes, Streamline repetitive tasks, Experiment with no-code/low-code solutions, Prototype agentic processes, Deploy agentic processes, Document agent workflows, Document best practices, Contribute ideas for automation", "teamCollaboration" : "Internal experts in data engineering, analytics, AI, and automation", "domainKnowledge" : "Agentic AI; AI automation", "domainList" : [ "agentic-ai", "ai-automation" ], "domainSpecificKnowledge" : [ "Agentic AI", "AI automation" ], "documentationSkills" : "Document agent workflows; Document best practices", "innovationCreativity" : "Contribute ideas for innovative ways to apply automation", "problemSolvingSkills" : "Analytical", "outcomesObjectives" : "Improve operational efficiency; Increase productivity; Improve user experience", "qualificationsBasic" : "Pursuing a degree in Computer Science, Information Management, AI, Data Science, Engineering, or related", "qualificationsPreferred" : "Experience with Power Automate, Copilot Studio, or similar tools is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: AI Agentic Automation – Low-Code / No-Code. Job Description: _**What will you do?**_ As an AI Agentic Automation working student within the Data & Analytics department, you will help explore, design, and build agentic processes that improve operational efficiency across the organization. You will gain hands-on experience with low-code and no-code tools such as Microsoft Copilot Studio, Power Automate, and other automation platforms. Examples include: * Creating and configuring AI agents to support internal procedures and data-driven workflows; * Designing automated processes that streamline repetitive tasks for various teams and departments; * Experimenting with no-code/low-code solutions to rapidly prototype and deploy agentic process enhancements; * Documenting agent workflows and best practices to ensure smooth adoption and scalability; * Contributing ideas for innovative ways to apply automation to increase productivity and improve user experience. _**Your team**_ You will join a driven and close-knit team focused on collaboration and growth. You will be guided by internal experts in data engineering, analytics, AI, and automation, who will support you in your exploration of agentic process development. **_NIBC as an IT employer_** NIBC IT consists out of several domains and together NIBC IT aims to be one of the driving forces behind the digital transformation of our bank, an ongoing process that will profoundly change the relationship with our clients and the way we do business. We are closely connected and have short lines of communication. If you have a good idea today, you may be elaborating it tomorrow. IT is forever changing and so is NIBC and in order for us to be able to keep on changing, we need sophisticated individuals to help us lead the bank into the future. ** _NIBC as organization_** Founded in 1945 to finance the visionary entrepreneurs who helped rebuilding the Netherlands after the second World War, NIBC was closely collaborating while professionally supporting companies and individuals in realizing their dreams and goals with a sustainable future in mind. As a multicultural midsize bank with a working environment that is best described as dynamic and ambitious, we share a forward-thinking, can-do attitude with our employees and clients which we call our THINK YES mentality. Our corporate values are Professional, Adaptive, Collaborative and Entrepreneurial. You will have a direct and meaningful impact on both the bank and its clients. By building our company on optimism and mutual trust, and with our THINK YES mentality, NIBC is an enterprising bank that enables ambitions. _**What do you bring?**_ * An ambitious intern who is eager to explore AI-driven automation and develop agentic solutions that enhance organizational efficiency; * You are pursuing a degree in Computer Science, Information Management, AI, Data Science, Engineering, or a related field; * You have an affinity for low-code/no-code development, process automation, or AI workflows; * You are proactive, analytical, and curious about how automation can improve everyday work; * Experience with Power Automate, Copilot Studio, or similar tools is a plus — but not required. **_Still intrigued?_** Click the apply button now! To upload multiple documents, click the upload button again after uploading a document. An assessment may be part of the application procedure. For more information about the recruitment procedure or NIBC as employer you may contact our HR Servicedesk via [AskHR@nibc.com](mailto:AskHR@nibc.com) _Applications via email will not be taken into consideration._", "summaryDescription" : "Working student at NIBC. Skills: AI Agentic Automation, Low-code/No-code. Explore agentic processes. Design agentic processes", "postedDate" : "2026-06-12T21:16:31.094", "createdAt" : "2026-06-14T21:16:31.052", "lastUpdated" : "2026-06-16T01:02:20.989", "ingestTimestamp" : "2026-06-14T21:16:31.052", "mongoId" : "6a2eb80a74d8ee00a0e85e9f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nibcatwork.wd3.myworkdayjobs.com/External/job/The-Hague/Working-student-Agentic-AI_R0001740", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Process automation", "Agentic process development", "AI Agentic Automation", "Low-code/No-code", "Agentic AI", "AI automation" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c9fae74d8ee00a09a04ce", "title" : "Step into the Hexa ecosystem", "company" : "Hexa", "industry" : "Hexa", "location" : "No Location", "locations" : [ "No Location" ], "timestamp" : "2026-06-16T02:17:11.193", "fingerprint" : "0e237cbdebdf64c78cf0edcecd0c4bc66bd32a384d24547744ba0ba6ab369a7c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/hexa/b10a4d3a-1831-4634-bb47-8e818ce681d7/application", "externalId" : "b10a4d3a-1831-4634-bb47-8e818ce681d7", "industryFunction" : { }, "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "JOIN OUR NETWORK OF EXCEPTIONAL TALENT Be part of what's next at Hexa We want to know more about you! But before that, a bit of context about us. About Hexa Hexa started as eFounders in 2011 to rethink company creation: building alongside founders, not from the sidelines. We've built over 50 companies, including Aircall, Spendesk, Front, Swan, and Yousign, with a combined valuation of over $5 billion, and companies employing more than 2,600 talented people all around the world. Our hands-on model has proven successful. Now a leading multi-stage startup studio, we stay true to our DNA: founder-first and deeply involved, across AI, Future of Work, fintech, climate, defense and cybersecurity. Because when ambitious founders and teams come together, exceptional companies are born. To fulfill this incredible purpose, we're constantly looking for exceptional individuals. Whether you're planning on launching a top tier company or joining one, here's a simple and quick get-to-know-you form that will help us match you with the best opportunities from the Hexa family. Start a Company with us Partner with us for 12 months to build the foundations of a new category-defining company — and 10x your chances of success with our team as your co-founder. Join the Core Team The team that co-builds every startup we launch. You work across multiple ventures in parallel, embedded with founders from day one, across product, design, go-to-market, recruiting, finance, and legal. If you want to be at the heart of company creation, this is it. Join a Hexa venture early Every year, Hexa co-founds around 12 new startups. Joining one in its first months means taking a founding employee role: you build the product, shape the culture, and own a real stake in the outcome, with the full support of Hexa's Core Team behind you. Join a Hexa portfolio company Some of our startups are further along. They're scaling, hiring, and looking for strong profiles to help them grow. If you want the energy of a startup with more structure and traction already in place, this is the path. Your turn! :))", "summaryDescription" : "Step into the Hexa ecosystem at Hexa", "createdAt" : "2026-06-14T19:12:21.099", "lastUpdated" : "2026-06-16T02:17:11.193", "ingestTimestamp" : "2026-06-14T19:12:21.099", "mongoId" : "6a2c9fae74d8ee00a09a04ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "infrastructure", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.0 }, { "id" : "6a306007f292fd229cf84717", "title" : "Senior Cybersecurity Architect, Agentic SOC Modernization & AI-Enabled Security Operations", "company" : "West Monroe", "industry" : "Consulting", "salary" : { "min" : 175000.0, "max" : 235000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Cybersecurity Architect in Chicago, adjusted for consulting industry and company size." }, "location" : "Chicago", "locations" : [ "Chicago" ], "timestamp" : "2026-06-16T07:56:39.509", "fingerprint" : "ab387c4d64a3ce082a317119b2be3b51c9ac3e53ea31f335784ed94a6321331b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://westmonroe.com/careers/job-details-experienced-professionals?gh_jid=6018677004", "externalId" : "6018677004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Cybersecurity, Cloud security, Security operations, AI, Machine Learning", "professionalSkills" : [ "Architecture design", "Solution development", "Technical leadership", "Stakeholder management" ], "hardSkillsList" : [ "Security architecture", "Security operations", "AI implementation" ], "hardSkills" : [ { "name" : "Security architecture", "level" : "intermediate" }, { "name" : "Security operations", "level" : "intermediate" }, { "name" : "AI implementation", "level" : "intermediate" } ], "majorSkills" : "Cybersecurity architecture, Agentic SOC, AI-enabled security", "majorSkillsList" : [ "Cybersecurity architecture", "Agentic SOC", "AI-enabled security" ], "coreResponsibilities" : "Design and implement agentic SOC modernization strategies, Develop and deploy AI-enabled security operations capabilities, Provide technical leadership for security modernization initiatives, Collaborate with clients to understand their security challenges, Develop architectural blueprints for next-generation security operations, Evaluate and integrate emerging security technologies, Ensure security solutions align with business objectives, Mentor junior security architects and engineers", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Agentic SOC; AI-enabled security; Security modernization; Cloud security architecture", "domainList" : [ "agentic-soc", "ai-enabled-security", "security-modernization", "cloud-security-architecture" ], "domainSpecificKnowledge" : [ "Agentic SOC", "AI-enabled security", "Security modernization", "Cloud security architecture" ], "communicationSkills" : "Client presentations; Technical documentation", "documentationSkills" : "Architecture diagrams; Technical specifications", "innovationCreativity" : "Develop innovative solutions; Explore new technologies", "problemSolvingSkills" : "Complex problem solving; Root cause analysis", "outcomesObjectives" : "Modernize SOC capabilities; Enhance security operations efficiency; Implement AI-driven security solutions", "qualificationsBasic" : "5+ years of experience in cybersecurity architecture, Experience with cloud security, Experience with security operations, Experience with agentic security solutions, Experience with AI-enabled security operations", "qualificationsPreferred" : "Experience with large-scale enterprise environments, Experience with modernization initiatives", "workSiteFlexibility" : "Remote", "rawDescription" : "Are you ready to make an impact? West Monroe is seeking a Senior Cybersecurity Architect, Agentic SOC Modernization & AI-Enabled Security Operations to join our Cybersecurity & Enterprise Technology practice. This role is focused on helping clients modernize security operations by designing next-generation SOC capabilities that leverage automation, AI-enabled workflows, agentic security operations, advanced analytics, SIEM/SOAR platforms, threat intelligence, and scalable detection and response processes. You will help clients move beyond traditional, manually intensive SOC models toward more intelligent, automated, and resilient security operations. This includes assessing current-state SOC capabilities, rationalizing fragmented tooling, designing future-state operating models, defining agent-assisted workflows, improving detection engineering, automating investigation and response processes, and enabling measurable improvements in analyst productivity, detection coverage, and response effectiveness. You will serve as a trusted advisor to CIOs, CISOs, security operations leaders, technology executives, and cyber defense teams as they transform fragmented security operations into scalable, intelligence-driven, AI-enabled, and human-governed SOC capabilities. While this role will support clients across industries, there is a strong preference for candidates with experience modernizing SOC capabilities for Energy & Utilities clients, including electric, gas, water, and other critical infrastructure environments. Experience supporting Financial Services, Healthcare, Private Equity, and other highly regulated sectors is also valuable where security operations, regulatory requirements, operational resilience, and risk reduction are critical. Experience with Google Security Operations / Google SecOps is a plus, but this role is intended to be broader than any single platform. The ideal candidate understands how to design modern SOC capabilities across people, process, data, governance, automation, AI, and technology. What You’ll Do Lead Agentic SOC Modernization Strategy Assess current-state security operations capabilities across people, process, technology, data, governance, automation, and operating model dimensions. Define future-state SOC operating models that incorporate AI-assisted investigation, agentic workflows, automated enrichment, response orchestration, human-in-the-loop decisioning, and continuous improvement. Develop SOC modernization roadmaps aligned to business risk, cyber maturity, regulatory obligations, operational resilience goals, staffing models, and technology investments. Identify opportunities to reduce alert fatigue, improve analyst efficiency, accelerate investigation and response, increase detection coverage, and improve the quality of security outcomes. Evaluate where AI agents, automation, analytics, and orchestration can improve SOC workflows without introducing unacceptable operational, privacy, security, or governance risk. Facilitate executive workshops and working sessions with security leadership, infrastructure, cloud, data, application, compliance, risk, and operations stakeholders. Design AI-Enabled and Agentic SOC Capabilities Architect AI-enabled SOC capabilities that support alert triage, evidence gathering, enrichment, summarization, detection authoring, threat hunting, response recommendation, case management, and executive reporting. Define agentic SOC use cases that improve security operations outcomes, including autonomous or semi-autonomous investigation support, alert correlation, threat intelligence enrichment, detection tuning, playbook execution, and analyst decision support. Design human-in-the-loop controls, escalation points, approval gates, logging, monitoring, and quality assurance processes for agentic security operations. Develop operating models for how analysts, engineers, incident responders, threat hunters, SOC managers, and AI-enabled tools work together across the detection and response lifecycle. Advise clients on responsible and secure use of AI in security operations, including access control, data protection, model governance, prompt security, output validation, auditability, and operational risk management. Help clients define practical AI-enabled SOC use cases that improve detection, response, analyst productivity, cyber resilience, and executive visibility. Modernize SIEM, SOAR & Detection Engineering Architect and improve SIEM, SOAR, security analytics, and case management capabilities across platforms such as Splunk, Microsoft Sentinel, Google SecOps, Palo Alto Cortex, ServiceNow SecOps, CrowdStrike, and similar technologies. Build detection engineering strategies aligned to MITRE ATT&CK, threat intelligence, business-critical assets, regulatory priorities, OT/ICS risk scenarios, and client-specific threat models. Design alert triage, enrichment, escalation, case management, automated response, and incident workflow capabilities. Define threat hunting, detection lifecycle management, detection-as-code, tuning, content governance, and use-case performance measurement practices. Establish SOC metrics and KPIs, including mean time to detect, mean time to respond, alert quality, false positive reduction, automation rates, detection coverage, analyst productivity, and operational resilience. Develop implementation roadmaps that sequence telemetry onboarding, detection use cases, automation opportunities, workflow changes, analyst enablement, and operational adoption. Rationalize Security Tooling, Telemetry & Data Sources Evaluate security tool portfolios to identify overlapping capabilities, integration gaps, consolidation opportunities, and replace/retain decisions. Assess SIEM, SOAR, XDR, EDR, threat intelligence, vulnerability management, cloud security, identity, ticketing, and workflow platforms to determine how they support future-state SOC capabilities. Define ingestion strategies for enterprise telemetry, cloud logs, endpoint data, identity data, network data, SaaS platforms, vulnerability data, application logs, OT/ICS data, and third-party security sources. Design normalized data models, parsing strategies, correlation logic, enrichment pipelines, analytics workflows, reporting capabilities, and evidence collection processes. Develop cost, capability, integration, and operational impact analyses to support security tool modernization decisions. Partner with technology, procurement, finance, security, and risk stakeholders to build actionable tooling roadmaps aligned to renewal windows, architecture dependencies, budget constraints, and business priorities. Integrate enterprise and OT telemetry into unified SOC monitoring and response environments where applicable. Strengthen SOC Governance, Risk & Compliance Alignment Align SOC modernization efforts to frameworks and regulatory requirements such as NIST CSF, NIST 800-53, ISO 27001, NERC CIP, IEC 62443, HIPAA, GLBA, PCI DSS, and other industry-specific obligations. Design control validation, audit readiness, evidence collection, logging, monitoring, and reporting capabilities within security operations workflows. Ensure security monitoring, detection, response, and logging strategies support compliance, resilience, cyber risk management, and executive reporting objectives. Define governance models for detection content ownership, playbook approval, automation changes, AI-enabled workflows, exception management, escalation paths, and continuous improvement. Translate complex technical recommendations into executive-level narratives focused on business risk, operational resilience, investment priorities, and measurable outcomes. Support Google SecOps and Other Modern SOC Platforms Support clients evaluating, designing, or implementing modern SOC platforms, including Google Security Operations / Google SecOps, Splunk, Microsoft Sentinel, Palo Alto Cortex, ServiceNow SecOps, and comparable technologies. Conduct capability assessments, platform fit analyses, and replacement/retain evaluations for legacy SIEM/SOAR and adjacent security tools. Advise clients on migration considerations from legacy SIEM/SOAR platforms to modern SOC platforms while managing continuity, regulatory requirements, operational risk, and analyst adoption. Where applicable, design Google SecOps-enabled capabilities for SIEM, SOAR, threat detection, investigation, response, security analytics, and data ingestion. Define platform implementation roadmaps, including onboarding waves, integration priorities, detection sequencing, automation opportunities, reporting requirements, and operational adoption plans. Drive Client & Practice Impact Serve as a trusted advisor to client executives, security operations leaders, SOC managers, security engineers, and technology stakeholders. Lead architecture workshops, SOC maturity assessments, platform assessments, operating model design, tooling rationalization, and modernization planning engagements. Support proposal development, solution design, estimation, delivery planning, and client presentations. Contribute to West Monroe thought leadership, reference architectures, accelerators, and delivery methods for Agentic SOC modernization, AI-enabled security operations, SIEM/SOAR transformation, detection engineering, and cyber defense modernization. Mentor team members and help grow West Monroe’s capabilities in modern security operations, AI-enabled cyber defense, SOC transformation, and security platform modernization. Leverage AI tools to accelerate analysis, synthesize compleec information and support date-driven recommendations for clients, exercising sound judgment of client outcomes . What You Bring 7–10+ years of experience in security architecture, security operations, SOC modernization, SIEM/SOAR engineering, detection engineering, incident response, security automation, or cybersecurity consulting. Experience designing, implementing, or modernizing SOC capabilities in enterprise, regulated, or critical infrastructure environments. Strong understanding of modern SOC operating models, including detection engineering, alert triage, investigation workflows, threat hunting, incident response, case management, escalation processes, and security operations governance. Experience designing AI-enabled or automation-enabled security operations capabilities, including analyst assist, enrichment, alert summarization, workflow orchestration, response automation, or agentic SOC use cases. Strong understanding of SIEM, SOAR, XDR, security telemetry, log ingestion, data normalization, correlation, enrichment, detection content, case management, and incident response workflows. Experience assessing, rationalizing, and consolidating enterprise cybersecurity tools and developing actionable modernization roadmaps. Familiarity with enterprise security technologies such as EDR/XDR, IAM, PAM, cloud security, network security, vulnerability management, threat intelligence, DLP, ITSM, and SecOps workflow platforms. Experience integrating security data from cloud, endpoint, identity, network, application, SaaS, infrastructure, and third-party sources. Ability to design SOC operating models, analyst workflows, escalation paths, governance processes, control points, and performance metrics. Familiarity with AI-enabled security operations, automation, analytics, responsible AI, and operational governance considerations. Experience with governance, risk, and compliance frameworks such as NIST CSF, NIST 800-53, ISO 27001, NERC CIP, IEC 62443, HIPAA, GLBA, PCI DSS, or related standards. Strong executive communication, stakeholder engagement, facilitation, and consulting skills. Ability to translate business risk and operational objectives into secure, scalable, and practical security operations architectures. Willingness to travel for client engagements. Experience integration AI tools(e.g.,ChatGPT) into day to day workflows to enhance productivity and insight generation, coupled with strong critical thinking to acesss accuracy, mitigate bias, and ensure high-quality outputs. Must be eligible to work in the United States without the need for sponsorship now or in the future Preferred / Plus Qualifications Prior consulting experience in a client-facing advisory or delivery leadership role. Experience with Google Security Operations / Google SecOps, Chronicle SIEM, Chronicle SOAR, Google Cloud security services, BigQuery, data pipelines, or security analytics architectures. Google Security Operations, Google Cloud, or related security certifications. Experience migrating from legacy SIEM/SOAR platforms to Google SecOps, Splunk, Microsoft Sentinel, Palo Alto Cortex, ServiceNow SecOps, or other modern SOC platforms. Experience with platforms such as Splunk, Microsoft Sentinel, Google SecOps, ServiceNow SecOps, Palo Alto Cortex, CrowdStrike, Okta, SailPoint, Mandiant, VirusTotal, Wiz, Prisma Cloud, or similar enterprise security tools. Experience leading or supporting SOC modernization, AI-enabled security operations, SIEM/SOAR transformation, detection engineering, security automation, or security operations improvement programs. Experience supporting Energy & Utilities clients, including electric, gas, water, critical infrastructure environments, or other highly regulated industries such as Financial Services or Healthcare. Experience integrating OT/ICS telemetry or operational security monitoring into enterprise SOC environments. Familiarity with threat intelligence, MITRE ATT&CK, detection-as-code, YARA-L, Sigma, SOAR playbooks, and detection lifecycle management. Familiarity with agentic AI design patterns, autonomous workflow orchestration, AI governance, responsible AI, model risk management, and security controls for AI-enabled cyber defense. Relevant certifications such as CISSP, CISM, CCSP, GSEC, GCIA, GCIH, GCFA, Google Cloud security certifications, or similar credentials. Candidate Profile Summary The ideal candidate is a security operations architect who can operate at both the executive advisory and technical architecture levels. They understand how to assess SOC maturity, rationalize legacy tooling, modernize detection and response capabilities, and design AI-enabled, agent-assisted, and automation-driven security operations. This person should be comfortable helping clients move from fragmented, manual, and platform-centric SOC models toward integrated, intelligence-driven, human-governed, and agentic SOC capabilities. They can define practical use cases, design operating models, guide platform modernization, improve detection engineering, and translate technical security operations improvements into measurable business risk reduction. Experience with Google SecOps is valuable and preferred, but the broader need is for someone who can design and lead SOC modernization across platforms, operating models, telemetry strategies, automation, AI-enabled workflows, governance, and client-specific risk priorities. job description here Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here. Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity. Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Eligibility for ten weeks of paid parental leave will also be available upon hire date. Seattle or Washington, D. C. $203,200—$239,100 USD Los Angeles $212,900—$250,500 USD New York City or San Francisco $222,500—$261,900 USD A location not listed above $193,500—$227,700 USD Other consultancies talk at you. At West Monroe, we work with you. We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions. The combination of business and technology is not new, but how we bring them together is unique. We’re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come. At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next. You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact. West Monroe is an Equal Employment Opportunity Employer  We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion. If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com. Please review our current policy regarding use of generative artificial intelligence during the application process. If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here. ", "summaryDescription" : "Senior Cybersecurity Architect, Agentic SOC Modernization & AI-Enabled Security Operations at West Monroe. Skills: Cybersecurity architecture, Agentic SOC, AI-enabled security. Design and implement agentic SOC modernization strategies. Develop and deploy AI-enabled security operations capabilities", "postedDate" : "2026-06-15T23:21:54.794", "createdAt" : "2026-06-15T23:21:54.794", "lastUpdated" : "2026-06-16T07:56:39.509", "ingestTimestamp" : "2026-06-15T23:21:54.794", "mongoId" : "6a306007f292fd229cf84717", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 235000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Security architecture", "Security operations", "AI implementation", "Cybersecurity architecture", "Agentic SOC", "AI-enabled security", "Architecture design", "Solution development", "Technical leadership", "Stakeholder management", "Security modernization", "Cloud security architecture" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2af57374d8ee00a073a33a", "title" : "Requirements/Documentation Analyst", "company" : "Guidehouse", "salary" : { "min" : 98000.0, "max" : 163000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US - VA, McLean", "locations" : [ "US - VA, McLean", "United States of America" ], "timestamp" : "2026-06-14T23:27:28.039", "fingerprint" : "20d610901004599fffe3be88efe0747785bcf2fd6c966e9c94816ba782eaeeda", "source" : "workday", "language" : "en", "applyUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---VA-McLean/Requirements-Documentation-Analyst_39496", "externalId" : "39496", "locationPoint" : "40.31448,-89.16981", "structuredLocations" : [ { "city" : "McLean", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9366852,-77.1858430" } ], "locationText" : "McLean, Virginia, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "professionalSkills" : [ "Project management" ], "hardSkillsList" : [ "Requirements documentation", "Requirements analysis", "Requirements tracking" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Requirements documentation", "level" : "intermediate" }, { "name" : "Requirements analysis", "level" : "intermediate" }, { "name" : "Requirements tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Requirements documentation, Requirements analysis", "majorSkillsList" : [ "Requirements documentation", "Requirements analysis" ], "coreResponsibilities" : "Document requirements, Analyze requirements, Translate contractual requirements, Track digitization vendor completion, Create written presentations, Brief requirements status", "teamCollaboration" : "Daily team stand-ups; Client-facing meetings", "projectManagementSkills" : [ "Agile software development", "Scrum Master" ], "toolProficiency" : [ "Microsoft Office suite" ], "communicationSkills" : "Client relationships", "documentationSkills" : "Requirements documentation", "specialRequirements" : "Ability to Obtain Public Trust", "qualificationsBasic" : "Federal or DoD \"PUBLIC TRUST\", Bachelor's degree or 4 years experience, 4 years experience documenting requirements", "qualificationsPreferred" : "Active PUBLIC TRUST or SUITABILITY", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**_Job Family_ :** IT Project Management ** _Travel Required_ :** None ** _Clearance Required_ :** Ability to Obtain Public Trust ** _What You Will Do_ :** * Be responsible for the requirements documentation and analysis project workstream * Support the Project Manager, Deputy Project Manager, Scrum Master, and Product Owner in translating contractual requirements into team or vendor activities/software development user stories * Support the Project Manager, Deputy Project Manager, Scrum Master, and Product Owner in translating contractual requirements into team activities/software development user stories * Support the Project Manager, Deputy Project Manager, and Digitization Lead in tracking the digitization vendor’s completion of contractual requirements * Document project requirements and create written presentations to report requirements status * Verbally brief requirements analysis workstream activity status at daily team stand-ups and client-facing meetings ** _What You Will Need_ :** * Must be able to OBTAIN and MAINTAIN a Federal or DoD \"PUBLIC TRUST\"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. * Bachelor’s degree or Additional FOUR (4) years experience in Lieu of Degree. * Minimum of FOUR (4) years of experience distilling, documenting, and tracking requirements for multi-work stream projects * Outstanding team collaboration skills and the ability to adapt to a dynamic consulting project environment * Excellent project management skills * The ability to clearly communicate requirements and acceptance criteria to non-technical clients/audiences and establish outstanding client relationships * Proficiency with Microsoft OfficeTM suite of productivity software tools ** _What Would Be Nice To Have_ :** * Excellent written and verbal communication skills * Familiarity with Agile software development methodologies * Experience using Atlassian software development project management tools Jira and Confluence The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. _**What We Offer:**_ Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Parental Leave * 401(k) Retirement Plan * Group Term Life and Travel Assistance * Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts * Transit and Parking Commuter Benefits * Short-Term & Long-Term Disability * Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Care.com annual membership * Employee Assistance Program * Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) * Position may be eligible for a discretionary variable incentive bonus _**About Guidehouse**_ Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [RecruitingAccommodation@guidehouse.com](mailto:RecruitingAccommodation@guidehouse.com). All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [guidehouse@myworkday.com](mailto:guidehouse@myworkday.com). Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [recruiting@guidehouse.com](mailto:recruiting@guidehouse.com). Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. _Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._", "summaryDescription" : "Requirements/Documentation Analyst at Guidehouse. Skills: Requirements documentation, Requirements analysis. Document requirements. Analyze requirements", "postedDate" : "2026-06-12T02:24:20.411", "createdAt" : "2026-06-12T02:24:20.351", "lastUpdated" : "2026-06-14T23:27:28.039", "ingestTimestamp" : "2026-06-12T02:24:20.351", "mongoId" : "6a2af57374d8ee00a073a33a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---VA-McLean/Requirements-Documentation-Analyst_39496", "salaryAnnualMin" : 98000, "salaryAnnualMax" : 163000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Requirements documentation", "Requirements analysis", "Requirements tracking", "Adaptability", "Project management", "Agile software development", "Scrum Master", "Microsoft Office suite" ], "skillCount" : 8, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306085f292fd229cf8f868", "title" : "AI Enablement Director", "company" : "Backblaze", "salary" : { "min" : 1.5E7, "max" : 2.5E7, "currency" : "ARS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Director level in the Technology industry in Argentina, adjusted for company size and remote work." }, "location" : "Remote - Argentina", "locations" : [ "Remote - Argentina", "Remote - Colombia", "Remote - Costa Rica", "Remote - Mexico" ], "timestamp" : "2026-06-16T09:04:25.855", "fingerprint" : "7d71d89cea2f5358422d9c704cf0642ad600b00f3f1b4baaa5fd71265100a39c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/backblaze/jobs/5257982008", "externalId" : "5257982008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Argentina", "continent" : "sa", "workMode" : "remote" } ], "locationText" : "Argentina", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Enablement Director! About the Role: Backblaze is executing an ambitious, company-wide AI transformation program that is fundamentally reshaping how our organization operates at scale. This is not a theoretical research project - it is a live, high-impact initiative with production deployments already in production. We are driven by a commitment to operational excellence and tangible results, and this role sits at the very center of that mission. You will be responsible for shaping the path forward, ensuring that our AI initiatives deliver clear, measurable value that drives the business forward. This role sits at the center of it. Reporting to the CHRO, you will lead the AI use case lifecycle, managing everything from initial intake to final production. Your responsibilities include scoping complex workflows, architecting innovative solutions, overseeing pilot programs, and precisely measuring the impact of these changes. Partnering closely with functional directors, you will identify high-potential areas for AI integration and process transformation, ensuring these initiatives translate into tangible operational results. The program has a simple test: by Q3, we should be able to answer \"what has AI actually delivered this year?\" in a single slide with numbers. You are the person who makes that slide possible. What You’ll Do: Own the use case pipeline. Triage incoming requests, refine problem statements, size value, and maintain a prioritized queue across functions. Lead each use case through discovery, scoping, pilot, and launch - coordinating functional owners, IT, Engineering, Legal, and Finance as required. Do the workflow work. Conduct structured current-state assessments with department teams. Map how work actually happens today. Find where volume, repetition, or research intensity make AI a strong fit - and surface the use cases that would never appear in a top-down scan. Design the right solution. Evaluate whether a given workflow calls for an off-the-shelf tool, a prompt layer, a vendor product, or a custom build. Engage Engineering and IT when integration or custom development is required. Document baselines before launch. Measure the delta after. Govern the tool stack. Own the AI vendor evaluation process end-to-end: fit assessment, security and privacy review, pilots, and build-vs-buy recommendations. Maintain the AI Tool Registry with zero ungoverned deployments. Track spend per team monthly with cost-per-outcome visibility available to the executive team. Keep leadership informed. Maintain a live view of every active use case, its status, its owner, and its impact. Produce outcomes reports. Surface role and change implications early - before they become problems. The Right Fit: 7+ years in program management, business operations, or automation delivery - with direct experience moving AI or workflow automation initiatives from discovery to production Hands-on fluency across the modern AI stack: prompt engineering, RAG pipelines, LLM orchestration, tool evaluation, and governance Experience conducting workflow assessments with business stakeholders - not just technically, but operationally: mapping current states, identifying leverage points, designing future states A track record of producing outcomes framed in time saved, cost reduced, or revenue impacted - not features shipped or tools deployed Clear written communication: business cases, executive updates, solution design documents Nice to Have: Experience running an AI program across multiple functions simultaneously Familiarity with AI governance in data-sensitive or PII-adjacent environments Background in cloud infrastructure, storage, or technical B2B businesses Exposure to org transitions - restructures, outsourcing programs, distributed team ramp-ups - and the workflow documentation challenges they create At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM", "summaryDescription" : "AI Enablement Director at Backblaze", "postedDate" : "2026-06-15T23:28:04.856", "createdAt" : "2026-06-15T23:28:04.856", "lastUpdated" : "2026-06-16T09:04:25.855", "ingestTimestamp" : "2026-06-15T23:28:04.856", "mongoId" : "6a306085f292fd229cf8f868", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306085f292fd229cf8f867", "title" : "AI Enablement Director", "company" : "Backblaze", "salary" : { "min" : 165000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-16T06:46:36.669", "fingerprint" : "3c93788dc02dbbd799464084e7b272dadbc68ad0b4e7ea8134b09e6a5bb5abe6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/backblaze/jobs/5257964008", "externalId" : "5257964008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Enablement Director! About the Role: Backblaze is executing an ambitious, company-wide AI transformation program that is fundamentally reshaping how our organization operates at scale. This is not a theoretical research project - it is a live, high-impact initiative with production deployments already in production. We are driven by a commitment to operational excellence and tangible results, and this role sits at the very center of that mission. You will be responsible for shaping the path forward, ensuring that our AI initiatives deliver clear, measurable value that drives the business forward. This role sits at the center of it. Reporting to the CHRO, you will lead the AI use case lifecycle, managing everything from initial intake to final production. Your responsibilities include scoping complex workflows, architecting innovative solutions, overseeing pilot programs, and precisely measuring the impact of these changes. Partnering closely with functional directors, you will identify high-potential areas for AI integration and process transformation, ensuring these initiatives translate into tangible operational results. The program has a simple test: by Q3, we should be able to answer \"what has AI actually delivered this year?\" in a single slide with numbers. You are the person who makes that slide possible. What You’ll Do: Own the use case pipeline. Triage incoming requests, refine problem statements, size value, and maintain a prioritized queue across functions. Lead each use case through discovery, scoping, pilot, and launch - coordinating functional owners, IT, Engineering, Legal, and Finance as required. Do the workflow work. Conduct structured current-state assessments with department teams. Map how work actually happens today. Find where volume, repetition, or research intensity make AI a strong fit - and surface the use cases that would never appear in a top-down scan. Design the right solution. Evaluate whether a given workflow calls for an off-the-shelf tool, a prompt layer, a vendor product, or a custom build. Engage Engineering and IT when integration or custom development is required. Document baselines before launch. Measure the delta after. Govern the tool stack. Own the AI vendor evaluation process end-to-end: fit assessment, security and privacy review, pilots, and build-vs-buy recommendations. Maintain the AI Tool Registry with zero ungoverned deployments. Track spend per team monthly with cost-per-outcome visibility available to the executive team. Keep leadership informed. Maintain a live view of every active use case, its status, its owner, and its impact. Produce outcomes reports. Surface role and change implications early - before they become problems. The Right Fit: 7+ years in program management, business operations, or automation delivery - with direct experience moving AI or workflow automation initiatives from discovery to production Hands-on fluency across the modern AI stack: prompt engineering, RAG pipelines, LLM orchestration, tool evaluation, and governance Experience conducting workflow assessments with business stakeholders - not just technically, but operationally: mapping current states, identifying leverage points, designing future states A track record of producing outcomes framed in time saved, cost reduced, or revenue impacted - not features shipped or tools deployed Clear written communication: business cases, executive updates, solution design documents Nice to Have: Experience running an AI program across multiple functions simultaneously Familiarity with AI governance in data-sensitive or PII-adjacent environments Background in cloud infrastructure, storage, or technical B2B businesses Exposure to org transitions - restructures, outsourcing programs, distributed team ramp-ups - and the workflow documentation challenges they create Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is $165,000 - $215,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.", "summaryDescription" : "AI Enablement Director at Backblaze", "postedDate" : "2026-06-15T23:23:55.558", "createdAt" : "2026-06-15T23:23:55.558", "lastUpdated" : "2026-06-16T06:46:36.669", "ingestTimestamp" : "2026-06-15T23:23:55.558", "mongoId" : "6a306085f292fd229cf8f867", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a9174d8ee00a090ca85", "title" : "AI Business Partner", "company" : "Atlas Energy Solutions", "industry" : "Logistics", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Business Partner roles in Austin, adjusted for mid-seniority and the energy industry." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "certifications" : [ "AI-focused certifications", "Accredited AI boot camps" ], "timestamp" : "2026-06-15T09:17:41.280", "fingerprint" : "f360300898507f42b656ce949a95b17519c1d9f6153cf9d2aaed0771b5948833", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/atlassand/jobs/8589859002", "externalId" : "8589859002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "AI, Power Platform, Copilot Studio", "professionalSkills" : [ "Business process improvement", "Technology adoption", "AI use cases", "Requirements gathering", "Solution approach", "Risk management", "Change management", "Value maximization", "Responsible AI usage", "Data handling", "Governance coordination" ], "hardSkillsList" : [ "AI usage", "Data handling", "Governance coordination" ], "softSkillsList" : [ "Facilitation" ], "hardSkills" : [ { "name" : "AI usage", "level" : "intermediate" }, { "name" : "Data handling", "level" : "intermediate" }, { "name" : "Governance coordination", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Facilitation" } ], "majorSkills" : "AI Business Partner, AI use cases, Requirements translation", "majorSkillsList" : [ "AI Business Partner", "AI use cases", "Requirements translation" ], "coreResponsibilities" : "Lead discovery with business stakeholders, Clarify problem statements, Clarify users, Clarify workflows, Clarify constraints, Clarify desired outcomes, Translate business needs into actionable requirements, Support prioritization, Partner with AI Developers to shape solution approach, Manage tradeoffs, Ensure readiness for build and release, Drive adoption and change management, Maximize realized value, Measure and report impact, Track ROI, Ensure responsible and compliant AI usage, Reinforce approved tools, Reinforce data handling, Reinforce governance, Coordinate privacy/security reviews, Escalate risks and exceptions", "teamCollaboration" : "Cross-functional environment; Embedded with business unit", "domainKnowledge" : "Energy industry; Oilfield logistics; Distributed power systems; Proppant supply network; Permian Basin", "domainList" : [ "energy-industry", "oilfield-logistics", "distributed-power-systems", "proppant-supply-network", "permian-basin" ], "domainSpecificKnowledge" : [ "Energy industry", "Oilfield logistics", "Distributed power systems", "Proppant supply network", "Permian Basin" ], "toolProficiency" : [ "Microsoft tools", "Power Platform", "Copilot Studio", "Teams", "SharePoint" ], "communicationSkills" : "Clarifying questions", "specialRequirements" : "Travel to assigned business locations, Work in a cross-functional environment, Reporting through Technology", "outcomesObjectives" : "Maximize realized value; Track ROI from pilot through scale", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, Eligible to work in the U. S. without future sponsorship, Willingness to work and travel to assigned business locations", "qualificationsPreferred" : "Experience with process mapping, Experience with continuous improvement, Experience with operations analytics, Experience with change management, Completion of relevant AI-focused certifications, Completion of accredited AI boot camps, Demonstrated experience with personal projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are: Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders. How You Will Make an Impact: The AI Business Partner acts as the front door between business units and the AI builders/developers, helping shape AI use cases, requirements, and success criteria before anything is built. Responsibilities Lead discovery with business stakeholders to clarify problem statements, users, workflows, constraints, and desired outcomes. Translate business needs into actionable requirements (success metrics, data needs, integration points, acceptance criteria) and support prioritization. Partner with AI Developers to shape solution approach, manage tradeoffs (scope, risk, cost), and ensure readiness for build and release. Drive adoption and change management (communications, enablement, stakeholder feedback loops) to maximize realized value. Measure and report impact and track ROI from pilot through scale. Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed. Minimum qualifications Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training. Strong communication and facilitation skills; Initiative to ask clarifying questions and manage ambiguity Eligible to work in the U. S. without future sponsorship. Willingness to work and travel to assigned business locations / sites, as needed. Ability to work in a cross‑functional environment while embedded with a business unit and reporting through Technology. How You Will Stand Out Experience (internship, project, or coursework) with process mapping, continuous improvement, operations analytics, or change management. Familiarity with AI productivity tools (e.g., copilots/assistants) and an interest in responsible, compliant usage aligned to guardrails. Familiarity with Microsoft tools such as Power Platform, Copilot Studio, and collaboration platforms (e.g., Teams and SharePoint) Completion of relevant AI-focused certifications and/or accredited boot camps. Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies). What You Will Love About Us Best People and Team. Great Place to Work , Hire Vets, Top Place to Work For – Austin American Statesman Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision Invest in Your Future. 401K with company match, immediate vesting Relax and Recharge. Paid time off (non-rotational roles), 15+ company paid holidays Equal Opportunity Employer Statement: Atlas Energy Solutions is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, gender identity or expression, sexual orientation, genetic information, citizenship status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. This commitment applies to all aspects of employment, including recruiting, hiring, training, promotion, compensation, benefits, and termination. Reasonable Accommodation Atlas Energy Solutions provides reasonable accommodations to qualified individuals with disabilities and those with pregnancy-related conditions in accordance with applicable law.", "summaryDescription" : "AI Business Partner at Atlas Energy Solutions. Skills: AI Business Partner, AI use cases, Requirements translation. Lead discovery with business stakeholders. Clarify problem statements", "postedDate" : "2026-06-14T02:45:04.844", "createdAt" : "2026-06-14T02:45:04.844", "lastUpdated" : "2026-06-15T09:17:41.280", "ingestTimestamp" : "2026-06-14T02:45:04.844", "mongoId" : "6a2c6a9174d8ee00a090ca85", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI usage", "Data handling", "Governance coordination", "Facilitation", "AI Business Partner", "AI use cases", "Requirements translation", "Business process improvement", "Technology adoption", "Requirements gathering", "Solution approach", "Risk management", "Change management", "Value maximization", "Responsible AI usage", "Energy industry", "Oilfield logistics", "Distributed power systems", "Proppant supply network", "Permian Basin", "AI-focused certifications", "Accredited AI boot camps", "Microsoft tools", "Power Platform", "Copilot Studio", "Teams", "SharePoint" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6aaa74d8ee00a090d31a", "title" : "Senior Engineering Manager, Workflows (FedRamp)", "company" : "Okta", "industry" : "SaaS", "salary" : { "min" : 235000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Engineering Manager in the Technology industry in Bellevue, United States, adjusted for seniority and company size." }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-15T03:29:37.283", "fingerprint" : "7830b8c46085007fa7d58eebcc8a63eafe5ffddb9db946526ad25ddcbcfd1a98", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.okta.com/company/careers/opportunity/7983451?gh_jid=7983451", "externalId" : "7983451", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Rust, GoLang, Typescript, Node.js, AWS, GCP, Kubernetes", "professionalSkills" : [ "Technical strategy", "Product vision", "Roadmap execution", "Operational rhythm", "Stakeholder management", "Cross-functional projects" ], "hardSkillsList" : [ "Backend systems", "Messaging solutions" ], "softSkillsList" : [ "Mentoring", "Psychological safety" ], "hardSkills" : [ { "name" : "Backend systems", "level" : "intermediate" }, { "name" : "Messaging solutions", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Psychological safety" } ], "majorSkills" : "Identity Orchestration, Workflows Runtime, Automation", "majorSkillsList" : [ "Identity Orchestration", "Workflows Runtime", "Automation" ], "coreResponsibilities" : "Lead engineering teams, Recruit engineers, Mentor engineers, Foster innovation, Foster accountability, Foster psychological safety, Partner with Product Management, Partner with Design, Define product vision, Execute multi-year roadmap, Drive technical strategy, Build scalable platform, Build reliable platform, Build intuitive platform, Own operational rhythm, Manage organization operations, Establish metrics, Establish processes, Ensure engineering excellence, Ensure predictable delivery, Represent teams, Represent strategy, Build relationships, Drive cross-functional projects", "teamCollaboration" : "Senior leaders; Engineering leaders; Stakeholders across organization", "projectManagementSkills" : [ "Roadmap execution" ], "domainKnowledge" : "Identity Orchestration; Federal environments; Protected federal data", "domainList" : [ "identity-orchestration", "federal-environments", "protected-federal-data" ], "domainSpecificKnowledge" : [ "Identity Orchestration", "Federal environments", "Protected federal data" ], "communicationSkills" : "Translate technical progress; Data-driven narratives", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Solve complex challenges", "specialRequirements" : "Access federal environments, U.S. Person status", "outcomesObjectives" : "Accelerate automation; Execute billions workflows; Automate everything without code", "qualificationsBasic" : "8+ years software development, 3+ years engineering management, Technical background leading teams, Access federal environments, Submit documentation U.S. Person status", "qualificationsPreferred" : "Experience with public cloud infrastructure, Container orchestration technologies experience, Kubernetes experience highly desirable", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Team The Okta Workflows team is on a mission to accelerate automation for everyone. Workflows Runtime builds the services and engine that empower our customers to execute billions of workflows each day without writing a single line of code. Our product is a critical part of Okta's Identity Orchestration strategy, providing a powerful, flexible, and intuitive way for customers to connect identity to any application or system. We are a passionate, collaborative team building with modern technologies like Rust, GoLang, Typescript and Node.js on a large-scale, multi-cloud (AWS and GCP) Kubernetes environment. The Opportunity As the Sr. Manager of Engineering for Workflows Runtime, you will be a key leader in defining the future of Identity Orchestration at Okta. You will lead, grow, and inspire the engineering teams responsible for building the entire of the Okta Workflows platform to execute user flows in a high-scale and performant manner. This is a high-impact, high-visibility role where you will be responsible for both strategic product direction and operational excellence, ultimately helping our customers automate everything without code. What you'll be doing Lead, recruit, and mentor multiple teams of engineers and engineering managers, fostering a culture of innovation, accountability, and psychological safety. Partner closely with senior leaders in Product Management and Design to define a compelling product vision and execute a multi-year roadmap. Drive the technical strategy for the Workflows Runtime, ensuring we are building a scalable, reliable, and intuitive platform on modern technologies like Rust, GoLang, and messaging solutions. Own and manage the operational rhythm of your organization, establishing metrics and processes to ensure engineering excellence and predictable delivery. Represent your teams and strategy in senior leadership forums and company-wide reviews, translating technical progress into data-driven narratives. Build strong relationships with other engineering leaders and stakeholders across the organization to ensure alignment and drive complex, cross-functional projects to completion. What you'll bring to the role: 8+ years of software development experience 3+ years of engineering management experience as a people manager A strong technical background leading teams that build both complex backend systems using Rust, GoLang, and messaging solutions. Experience with public cloud infrastructure (AWS, GCP) and container orchestration technologies like Kubernetes is highly desirable. Demonstrated success in collaborating with product and design counterparts to build and execute a long-term, customer-focused roadmap. Exceptional coaching and mentoring skills, with a passion for developing engineering talent at all levels. Excellent communication and stakeholder management skills, with the ability to operate effectively in a large, globally distributed organization. Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U. S. Person status (e. g. a U. S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. #LI-SM1 #LI-Hybrid P25216_3464542 Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $207,000—$285,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.", "summaryDescription" : "Senior Engineering Manager, Workflows (FedRamp) at Okta. Skills: Identity Orchestration, Workflows Runtime, Automation. Lead engineering teams. Recruit engineers", "postedDate" : "2026-06-13T21:27:19.233", "createdAt" : "2026-06-13T21:27:19.233", "lastUpdated" : "2026-06-15T03:29:37.283", "ingestTimestamp" : "2026-06-13T21:27:19.233", "mongoId" : "6a2c6aaa74d8ee00a090d31a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 235000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Backend systems", "Messaging solutions", "Mentoring", "Psychological safety", "Identity Orchestration", "Workflows Runtime", "Automation", "Technical strategy", "Product vision", "Roadmap execution", "Operational rhythm", "Stakeholder management", "Cross-functional projects", "Federal environments", "Protected federal data" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca43874d8ee00a09b0be7", "title" : "Commercial Working Student", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 20000.0, "max" : 26000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Commercial Working Student in Amsterdam, Netherlands, adjusted for the e-commerce industry and company size." }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T13:33:45.614", "fingerprint" : "b1cdb4dfbf04770d9381efc159a84bbcfed9dacda58ae65c23bb5859d1725439", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=5378258", "externalId" : "5378258", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Assortment analysis", "Product development", "International sourcing" ], "hardSkillsList" : [ "Performance analysis", "Price tracking", "Margin improvement" ], "hardSkills" : [ { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Price tracking", "level" : "intermediate" }, { "name" : "Margin improvement", "level" : "intermediate" } ], "majorSkills" : "Brand strategy, Customer acquisition, Campaign management, Growth metrics", "majorSkillsList" : [ "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics" ], "coreResponsibilities" : "Manage and optimize assortment, Analyze assortment data, Identify growth opportunities, Support range decisions, Analyze performance, Track prices, Improve margins, Involve in product development, Select products, Ensure packaging and branding, Collaborate with category managers, Collaborate with suppliers, Collaborate with design agencies, Analyze assortment strategies, Assist in product tastings, Assist in sourcing efforts, Identify new sourcing opportunities, Support cross-border collaboration", "teamCollaboration" : "Cross-functional exposure; Collaborate with category managers; Collaborate with suppliers; Collaborate with buyers; Collaborate with creatives", "domainKnowledge" : "Product assortment; Private label products; Sustainable business model", "domainList" : [ "product-assortment", "private-label-products", "sustainable-business-model" ], "domainSpecificKnowledge" : [ "Product assortment", "Private label products", "Sustainable business model" ], "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "innovationCreativity" : "Drive own projects", "qualificationsBasic" : "Student at least in 2nd year of bachelor, Education in Business Administration, Education in Economics, Education in Marketing, Available for at least 6 months, Available minimum 3 days p/w, Fluent in English", "qualificationsPreferred" : "Preferably in Dutch", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell In this role, you’ll be supporting the Commercial team responsible for shaping the product assortment that puts a smile on our customers’ faces \uD83D\uDE0A. As a Commercial Working Student, you’ll have the opportunity to contribute in one of three core teams: Trading, Promo, or Private Label - each offering a unique area of focus and impact. Here’s what you can expect in each team: \uD83D\uDCCATrading Team: You'll help manage and optimize our assortment by diving into assortment data, identifying growth opportunities, and supporting range decisions. You’ll work on performance analysis, price tracking, and margin improvement - directly contributing to the success of Picnic’s product offering. \uD83D\uDECD️Private Label Team: You’ll be involved in the full development process of our private label products. Together with a passionate team, your goal will be to select the best products for the best prices and ensure they have standout packaging and branding. You’ll collaborate with category managers, suppliers, and design agencies to bring high-quality, well-designed products to life. Tricks of the trade Cross-Functional Exposure: Collaborate closely with category managers, suppliers, buyers, and creatives to gain a well-rounded view of the Commercial team and how different functions work together. Assortment Analysis: Support in analyzing assortment strategies to help ensure our product range is data-driven, relevant, and tailored to customer needs. Product Development Support: Assist in product tastings and sourcing efforts to contribute to the selection of top-quality items at the best prices. International Sourcing: Work with international partners and teams to help identify new sourcing opportunities and support cross-border collaboration. Hands-On Experience: Get practical experience in a fast-paced, data-driven environment where ownership, curiosity, and learning by doing are key. Your superpowers Student at least in 2nd year of bachelor (HBO or WO) Education in a relevant field; Business Administration, Economics, Marketing or similar Available for at least 6 months Available a minimum of 3 days p/w Curious, independent, detail-oriented with a proactive mindset Fluent in English and preferably in Dutch Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16,75 (all inclusive), along with a laptop to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Commercial Working Student at Picnic. Skills: Brand strategy, Customer acquisition, Campaign management, Growth metrics. Manage and optimize assortment. Analyze assortment data", "postedDate" : "2026-06-14T09:31:36.756", "createdAt" : "2026-06-14T09:31:36.756", "lastUpdated" : "2026-06-15T13:33:45.614", "ingestTimestamp" : "2026-06-14T09:31:36.756", "mongoId" : "6a2ca43874d8ee00a09b0be7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Performance analysis", "Price tracking", "Margin improvement", "Brand strategy", "Customer acquisition", "Campaign management", "Growth metrics", "Assortment analysis", "Product development", "International sourcing", "Product assortment", "Private label products", "Sustainable business model" ], "skillCount" : 13, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a68a174d8ee00a06355ec", "title" : "Language Enabled OSINT Collector", "company" : "Core One", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Language Enabled OSINT Collector in Titusville, United States, adjusted for industry and company size." }, "location" : "Titusville, FL", "locations" : [ "Titusville", "FL" ], "timestamp" : "2026-06-14T04:39:52.961", "fingerprint" : "324003f42055f4f0ab4b7d1127e6c77bafd7ba6098879318ed12014af587d6d7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/coreone/jobs/8582127002", "externalId" : "8582127002", "structuredLocations" : [ { "city" : "Titusville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "28.6126236,-80.8079545" } ], "locationText" : "Titusville, Florida, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Analytic production", "Intelligence reports", "Collection plans" ], "hardSkillsList" : [ "All-source analysis", "OSINT analysis" ], "hardSkills" : [ { "name" : "All-source analysis", "level" : "intermediate" }, { "name" : "OSINT analysis", "level" : "intermediate" } ], "majorSkills" : "OSINT, Intelligence analysis", "majorSkillsList" : [ "OSINT", "Intelligence analysis" ], "coreResponsibilities" : "Conduct analytic production on open source materials, Analyze publicly available information, Identify trends, patterns, and relationships, Deliver OSINT Intelligence Reports, Deliver OSIR Recalls, Deliver OSINT Collection Plans", "domainKnowledge" : "National security; Defense intelligence", "domainList" : [ "national-security", "defense-intelligence" ], "domainSpecificKnowledge" : [ "National security", "Defense intelligence" ], "communicationSkills" : "Insightful products", "documentationSkills" : "Intelligence Reports", "problemSolvingSkills" : "Identify trends; Identify patterns; Identify relationships", "specialRequirements" : "TS/SCI with active CI polygraph", "qualificationsBasic" : "8 years of experience, Bachelor’s degree, TS/SCI with active CI polygraph, Tested 3/3 or better in English Language", "qualificationsPreferred" : "TCPED Familarity, Working knoedge of OSINT Security Classification Guide (OSINT SCG)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance! *This position requires TS/SCI with active CI Polygraph* Responsibilities: Conducts all-source analytic production on sources and products of information available from public, private, and U. S. and foreign Government open source materials within established security protocols. Analyzes foreign and domestic-based publicly available information to identify trends, patterns, and relationships that provide unique insights to address defense intelligence requirements. Deliver OSINT Intelligence Reports (OSIR), OSIR Recalls, and OSINT Collection Plans Qualifications: Desired Experience: Minimum of 8 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years. Desired Education: Bachelor’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U. S. Department of Education. Demonstrates ability to develop concise, insightful, and comprehensive products for defense intelligence. TCPED Familarity Working knoedge of OSINT Security Classification Guide (OSINT SCG) Must have tested 3/3 or better in English Language Security Clearance: TS/SCI with active CI polygraph Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability. __PRESENT__PRESENT__PRESENT__PRESENT __PRESENT __PRESENT__PRESENT", "summaryDescription" : "Language Enabled OSINT Collector at Core One. Skills: OSINT, Intelligence analysis. Conduct analytic production on open source materials. Analyze publicly available information", "postedDate" : "2026-06-11T20:45:44.790", "createdAt" : "2026-06-11T20:45:44.790", "lastUpdated" : "2026-06-14T04:39:52.961", "ingestTimestamp" : "2026-06-11T20:45:44.790", "mongoId" : "6a2a68a174d8ee00a06355ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "All-source analysis", "OSINT analysis", "OSINT", "Intelligence analysis", "Analytic production", "Intelligence reports", "Collection plans", "National security", "Defense intelligence" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "intelligence-analysis", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fd04b04c40e2acd1ae5db6", "title" : "Internship – Nuclear Insights into Ocean Alkalinity", "company" : "IAEA", "industry" : "Government", "salary" : { "min" : 15000.0, "max" : 25000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Monaco, adjusted for the climate tech industry." }, "location" : "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "locations" : [ "Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "2026-05-28, 11:59:00 PM" ], "timestamp" : "2026-06-16T02:29:37.292", "fingerprint" : "a63cf5e25ad269a77925d81db2227d480d5e2ee2e7cb8599a208fbce569f15bf", "source" : "taleo", "language" : "en", "applyUrl" : "https://iaea.taleo.net/careersection/ex/jobdetail.ftl?job=1314728", "externalId" : "1314728", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Monaco", "state" : "Monaco", "country" : "Monaco", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "43.7309697,7.4248152" } ], "locationText" : "Monaco, Monaco, Monaco", "employmentType" : "INTERNSHIP", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "NAML-Radioecology Laboratory Monaco-Monaco-Monaco-IAEA Environment Laboratories in Monaco", "summaryDescription" : "Internship – Nuclear Insights into Ocean Alkalinity at IAEA", "createdAt" : "2026-06-14T19:48:41.011", "lastUpdated" : "2026-06-16T02:29:37.292", "ingestTimestamp" : "2026-06-14T19:48:41.011", "mongoId" : "69fd04b04c40e2acd1ae5db6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Climate Tech", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2a498174d8ee00a05e56bc", "title" : "Working Student", "company" : "Planet", "industry" : "Space", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level, part-time Working Student in the technology industry in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin Office", "locations" : [ "Berlin Office" ], "timestamp" : "2026-06-13T12:10:44.547", "fingerprint" : "6b887d9e886f091eac185c6e77d26780382aeb6d0902d3ac6fa999646dbc1f07", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/planetlabs/jobs/7811318", "externalId" : "7811318", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Javascript, Typescript, Git", "professionalSkills" : [ "Satellite technologies" ], "hardSkillsList" : [ "Test automation", "API testing" ], "softSkillsList" : [ "Creative thinking", "Curiosity" ], "hardSkills" : [ { "name" : "Test automation", "level" : "intermediate" }, { "name" : "API testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative thinking" }, { "name" : "Curiosity" } ], "majorSkills" : "Software Development, Satellite solutions", "majorSkillsList" : [ "Software Development", "Satellite solutions" ], "coreResponsibilities" : "Participate in SDLC phases, Contribute to maintenance of tools, Contribute to maintenance of test automation frameworks, Contribute to maintenance of microservice applications, Contribute to maintenance of test data management, Support internal workflows, Prepare documentation", "teamCollaboration" : "Collaborative team; Cross-functional team; Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Satellite technologies", "domainList" : [ "satellite-technologies" ], "domainSpecificKnowledge" : [ "Satellite technologies" ], "toolProficiency" : [ "Git", "pytest" ], "documentationSkills" : "Documentation", "continuousLearning" : "LinkedIn Learning", "innovationCreativity" : "Innovative", "problemSolvingSkills" : "Approach problems from multiple angles", "specialRequirements" : "Access to export-controlled information", "qualificationsBasic" : "Enrolled in Bachelor's/Master's degree, Basic Python or Javascript/Typescript knowledge, Professional working proficiency in English", "qualificationsPreferred" : "Development background using Python, Development background using Javascript, Development background using Typescript, Development background using Git, Web Application development experience, Understanding of DevOps concepts, Understanding of CI/CD concepts, Familiarity with testing practices, Familiarity with API testing, Familiarity with Python (pytest), Excellent organizational skills, Detail-oriented", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: You will join a collaborative team of Software Engineers responsible for delivering high quality software that supports satellite-related solutions (web based GUIs and public facing APIs). You will be involved in all phases of the Software Development Life Cycle and engage with the latest software technologies. You will also be part of a cross-functional team working in an Agile, highly collaborative, cross-functional environment in which we strive to build quality into every step of the delivery process. This role emphasizes teamwork, process improvement, and shared ownership. The ideal candidate is innovative, results-driven, proactive, and an effective communicator with a mix of curiosity and passion for satellite technologies. This is a part-time, in-office position based in our Berlin office approximately 3 days per week. Impact You’ll Own: Participate in all phases of the Software Development Life Cycle (SDLC), from requirements analysis to deployment, including planning, feature implementation, test automation. Contribute to maintenance and improvement of existing tools and test automation frameworks, microservice applications and test data management. Support internal workflows and prepare documentation. What You Bring: Enrolled in a Bachelor’s/Master’s degree. Basic knowledge of Python or Javascript/Typescript. Tech savvy: eager to learn new technologies and skills. Ability to work in a dynamic team environment. Creative thinker with the ability to approach problems from multiple angles. Professional working proficiency in English, the language of the company. What Makes You Stand Out: Development background using Python, Javascript, Typescript, Git. Web Application development experience. Understanding of DevOps and CI/CD concepts. Familiarity with testing practices, API testing and Python (pytest).. Excellent organizational skills and detail-oriented. Application Deadline: September 7, 2026 by 11:59p / 23:59 CET (Central European Time) Export Control Requirements: Planet Labs Germany GmbH is authorized to receive U. S. export-controlled information at Planet under an export license issued by the Bureau of Industry and Security. This position requires access to U. S. and German/EU export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by German, EU, or U. S. authorities. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e. g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.", "summaryDescription" : "Working Student at Planet. Skills: Software Development, Satellite solutions. Participate in SDLC phases. Contribute to maintenance of tools", "postedDate" : "2026-06-11T18:07:43.842", "createdAt" : "2026-06-11T18:07:43.842", "lastUpdated" : "2026-06-13T12:10:44.547", "ingestTimestamp" : "2026-06-11T18:07:43.842", "mongoId" : "6a2a498174d8ee00a05e56bc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Test automation", "API testing", "Creative thinking", "Curiosity", "Software Development", "Satellite solutions", "Satellite technologies", "Agile", "Git", "pytest" ], "skillCount" : 10, "jobCategory" : "other", "jobSubcategory" : "tasking-(mission-systems)", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Space" }, { "id" : "6a2a714374d8ee00a0648c3f", "title" : "Linguist - Chinese into English (Medical)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Linguist in the US Healthcare industry, adjusted for remote work and contract employment." }, "location" : "USA (Remote)", "locations" : [ "USA (Remote)" ], "timestamp" : "2026-06-14T20:05:16.652", "fingerprint" : "e0e35a60fd2c07f3da8e8cb1ec84b8d5322df665e58297f3121dee6c64a4c72d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/9321e2fc-cdbc-4aab-a0d4-427ce4ba6727/application", "externalId" : "9321e2fc-cdbc-4aab-a0d4-427ce4ba6727", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "minimumEducation" : "Graduate", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Life Sciences Expertise", "Regulatory Review", "Medical content translation", "Regulatory content translation" ], "hardSkillsList" : [ "Translation", "Localization" ], "hardSkills" : [ { "name" : "Translation", "level" : "intermediate" }, { "name" : "Localization", "level" : "intermediate" } ], "majorSkills" : "Medical translation, Life Sciences translation, Regulatory compliance", "majorSkillsList" : [ "Medical translation", "Life Sciences translation", "Regulatory compliance" ], "coreResponsibilities" : "Adapt target text to meet compliance standards, Validate target text to meet compliance standards, Translate for pharmaceuticals, Translate for medical devices, Translate for biotechnology, Work within strict GxP environments, Adhere to ISO 17100 quality standards", "domainKnowledge" : "Clinical protocols; Pharmacovigilance; Labelling regulations; GxP environments; ISO 17100 quality standards; FDA compliance; EMA compliance; PMDA compliance", "domainList" : [ "clinical-protocols", "pharmacovigilance", "labelling-regulations", "gxp-environments", "iso-17100-quality-standards", "fda-compliance", "ema-compliance", "pmda-compliance" ], "domainSpecificKnowledge" : [ "Clinical protocols", "Pharmacovigilance", "Labelling regulations", "GxP environments", "ISO 17100 quality standards", "FDA compliance", "EMA compliance", "PMDA compliance" ], "qualificationsBasic" : "Native-level proficiency in target language, Graduate qualification in translation, linguistics, or language studies, Graduate qualification in another field plus 2 years professional translation experience, 5 years of full-time professional translation experience, Ability to follow terminology and reference materials precisely, Professional experience in translation and localization within Medical/Life Sciences domains", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are currently searching for linguists to join our Medical Talent Community. Given the highly regulated nature of the products in the American market, we are looking for senior linguists with a proven track record specifically within the Life Sciences vertical. We prioritize linguists who understand the nuances of [e.g., Clinical protocols / Pharmacovigilance / Labelling regulations]. Your specialized expertise will contribute to high-stakes medical and regulatory content. WHAT YOU’LL DELIVER - Regulatory Review: Adapting and validating target text to meet [e.g., PMDA / EMA / FDA] compliance standards. - Life Sciences Expertise: Demonstrable experience in translating for pharmaceuticals, medical devices, or biotechnology. - Standard Operating Procedures: Ability to work within strict GxP environments and adhere to ISO 17100 quality standards. QUALIFICATIONS - Native-level proficiency in the target language(s) - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely. - Professional experience in translation and localization within the Medical/Life Sciences domains. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor, you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR LIFE SCIENCES COMMUNITY To ensure we meet our client's regulatory obligations, all Life Sciences partners must complete the following: Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Experience Verification: Providing a project list or references highlighting past work in regulated medical markets. Step 3: Compliance Audit: Confirmation of familiarity with relevant local regulations (e.g., the American Pharmaceutical and Medical Devices Act for American-bound content). Step 4: Specialized Assessment: Completion of a domain-specific translation or review test. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Linguist - Chinese into English (Medical) at LILT. Skills: Medical translation, Life Sciences translation, Regulatory compliance. Adapt target text to meet compliance standards. Validate target text to meet compliance standards", "postedDate" : "2026-06-11T17:42:14.796", "createdAt" : "2026-06-11T17:42:14.796", "lastUpdated" : "2026-06-14T20:05:16.652", "ingestTimestamp" : "2026-06-11T17:42:14.796", "mongoId" : "6a2a714374d8ee00a0648c3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Translation", "Localization", "Medical translation", "Life Sciences translation", "Regulatory compliance", "Life Sciences Expertise", "Regulatory Review", "Medical content translation", "Regulatory content translation", "Clinical protocols", "Pharmacovigilance", "Labelling regulations", "GxP environments", "ISO 17100 quality standards", "FDA compliance", "EMA compliance", "PMDA compliance" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "liltlancer-community", "dataQualityScore" : 1.0, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Life Sciences" }, { "id" : "6a2c5eb174d8ee00a08e5fe4", "title" : "Senior Software Engineer - PA111 - Workflows", "company" : "ZoomInfo Technologies LLC", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Bethesda, adjusted for industry and company size." }, "location" : "Bethesda, Maryland, United States", "locations" : [ "Bethesda", "Maryland", "United States" ], "timestamp" : "2026-06-14T22:34:45.972", "fingerprint" : "ee67af728c4b7c0e5404b76d78fd3af1b228486a76479f2e7404bc67277d39e6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8568091002", "externalId" : "8568091002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bethesda", "state" : "Maryland", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9812726,-77.1233587" } ], "locationText" : "Bethesda, Maryland, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Spring Boot, Node.js, NestJS, Temporal, Google Cloud Workflows, Kafka, Distributed systems", "professionalSkills" : [ "System design", "Scalable system design", "API design", "Workflow design", "Error handling", "Performance optimization", "Security best practices" ], "hardSkillsList" : [ "Backend development", "Workflow orchestration", "Event-driven architecture", "Job execution", "State management", "High availability", "Fault tolerance", "Scalability", "API design", "Observability", "System performance", "Troubleshooting", "Idempotency", "Error handling", "Code quality", "Architectural design", "Agile development", "Version control", "CI/CD" ], "softSkillsList" : [ "Mentoring", "Problem-solving", "Communication" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Workflow orchestration", "level" : "intermediate" }, { "name" : "Event-driven architecture", "level" : "intermediate" }, { "name" : "Job execution", "level" : "intermediate" }, { "name" : "State management", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Idempotency", "level" : "intermediate" }, { "name" : "Error handling", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Architectural design", "level" : "intermediate" }, { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Problem-solving" }, { "name" : "Communication" } ], "majorSkills" : "Backend development, Workflow orchestration, Event-driven architecture", "majorSkillsList" : [ "Backend development", "Workflow orchestration", "Event-driven architecture" ], "coreResponsibilities" : "Design backend services, Build backend services, Maintain backend services, Develop workflow orchestration systems, Manage workflow orchestration systems, Build event-driven architectures, Optimize event-driven architectures, Design systems for job execution, Design systems for retries, Design systems for state management, Design systems for long-running processes, Ensure high availability, Ensure fault tolerance, Ensure scalability, Design APIs, Maintain APIs, Design internal services, Maintain internal services, Build observability into systems, Monitor workflow health, Monitor workflow performance, Collaborate with product teams, Collaborate with platform teams, Define workflow requirements, Define execution guarantees, Optimize system performance, Optimize system throughput, Optimize system latency, Troubleshoot production issues, Resolve production issues, Establish best practices, Participate in code reviews, Mentor engineers, Share knowledge, Collaborate on architectural decisions, Contribute to technical design reviews, Lead feature development, Lead technical initiatives, Participate in agile processes, Participate in sprint planning, Participate in technical discussions, Stay current with technologies, Evaluate new tools, Evaluate new frameworks, Support production systems, Implement reliability improvements", "teamCollaboration" : "Product teams; Platform teams; Cross-functional teams", "projectManagementSkills" : [ "Agile development", "Sprint planning" ], "domainKnowledge" : "Distributed systems; Cloud platforms; Databases; Event-driven architectures; Workflow orchestration", "domainList" : [ "distributed-systems", "cloud-platforms", "databases", "event-driven-architectures", "workflow-orchestration" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud platforms", "Databases", "Event-driven architectures", "Workflow orchestration" ], "toolProficiency" : [ "Temporal", "Google Cloud Workflows", "Kafka", "Spring Boot", "NestJS" ], "communicationSkills" : "Collaboration with stakeholders", "continuousLearning" : "Stay current with emerging technologies; Evaluate new tools and frameworks", "problemSolvingSkills" : "Problem-solving; Debugging complex technical issues; Implementing robust solutions", "qualificationsBasic" : "5+ years software engineering experience, Backend systems experience, Java (Spring Boot) experience, Node.js (NestJS) experience, Workflow orchestration systems experience, Event-driven architectures experience, Kafka experience, API design and maintenance experience, Observability implementation experience, System performance optimization experience, Production issue troubleshooting experience, Code review experience, Backend and distributed systems design knowledge, Software architecture patterns knowledge, Cloud platforms knowledge, Databases knowledge, Distributed systems concepts knowledge, REST APIs knowledge, Webhooks knowledge, Event-driven architectures knowledge, Performance optimization experience, Security best practices experience, Scalable system design experience, Clean, maintainable code writing, Effective code reviews, Problem-solving skills, Complex technical issue debugging, Robust solution implementation, Communication skills, Agile development methodologies experience, Version control systems experience, CI/CD practices experience, Bachelor's degree in Computer Science", "qualificationsPreferred" : "Temporal experience, Google Cloud Workflows experience", "workSiteFlexibility" : "Hybrid", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute—you’ll make things happen, fast. As a Senior Software Engineer on the Backend Platform team, you’ll design and build the systems that power complex workflows, orchestration, and event-driven processing across ZoomInfo’s platform. You’ll work on highly scalable backend services that coordinate millions of events and workflows, enabling reliable automation and data processing at scale. You’ll leverage technologies like Temporal, Google Cloud Workflows, Kafka, and modern backend frameworks to build resilient, observable, and fault-tolerant systems. Your work will be foundational to how data and processes move across ZoomInfo’s ecosystem. Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You’ll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career. What You'll do: Design, build, and maintain scalable backend services using Java (Spring Boot) and Node.js (NestJS) Develop and manage workflow orchestration systems using tools like Temporal, Google Cloud Workflows, or similar platforms Build and optimize event-driven architectures using Kafka or other streaming technologies Design systems for reliable job execution, retries, state management, and long-running processes Ensure high availability, fault tolerance, and scalability of backend systems handling large volumes of events Design and maintain APIs and internal services that integrate with workflow engines Build observability into systems (logging, tracing, metrics) to monitor workflow health and performance Collaborate with product and platform teams to define workflow requirements and execution guarantees (SLAs/SLOs) Optimize system performance, throughput, and latency across distributed systems Troubleshoot and resolve production issues in complex, asynchronous systems Establish best practices for workflow design, idempotency, and error handling Participate in code reviews and mentor engineers on backend and distributed systems design Develop and maintain high-quality code across multiple systems and applications, ensuring adherence to coding standards, best practices, and architectural guidelines Provide technical mentorship and guidance to junior and mid-level engineers, conducting thorough code reviews and sharing knowledge to elevate team capabilities Collaborate on architectural decisions and technical design reviews, contributing expertise to ensure system scalability, maintainability, and performance Lead medium to large-scale feature development and technical initiatives, working independently while coordinating with cross-functional teams Participate in agile development processes, sprint planning, and technical discussions to drive continuous improvement in development practices Stay current with emerging technologies and industry trends, evaluating new tools and frameworks for potential adoption Support production systems through monitoring, troubleshooting, and implementing reliability improvements What you bring: Bachelor's degree in Computer Science, related field, or equivalent experience 5+ years of software engineering experience, with a focus on backend systems Strong experience with Java (Spring Boot) and/or Node.js (NestJS) Experience with workflow orchestration systems using tools like Temporal, Google Cloud Workflows, or similar platforms Build and optimize event-driven architectures using Kafka or other streaming technologies Design systems for reliable job execution, retries, state management, and long-running processes Implement orchestration patterns for complex, multi-step business processes Ensure high availability, fault tolerance, and scalability of backend systems handling large volumes of events Design and maintain APIs and internal services that integrate with workflow engines Build observability into systems (logging, tracing, metrics) to monitor workflow health and performance Collaborate with product and platform teams to define workflow requirements and execution guarantees (SLAs/SLOs) Optimize system performance, throughput, and latency across distributed systems Troubleshoot and resolve production issues in complex, asynchronous systems Establish best practices for workflow design, idempotency, and error handling Participate in code reviews and mentor engineers on backend and distributed systems design Solid understanding of software architecture patterns, cloud platforms, databases, and distributed systems concepts Solid understanding of REST APIs, webhooks, and event-driven architectures Proven experience with performance optimization, security best practices, and scalable system design Demonstrated ability to write clean, maintainable, production-quality code and conduct effective code reviews Strong problem-solving skills with the ability to debug complex technical issues and implement robust solutions Excellent communication skills for collaborating with technical and non-technical stakeholders, and mentoring junior team members Experience with agile development methodologies, version control systems, and CI/CD practices The US base salary range for this position is $140,000 - $200,000 + variable compensation + benefits. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. #LI-DB #LI-Hybrid About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Software Engineer - PA111 - Workflows at ZoomInfo Technologies LLC. Skills: Backend development, Workflow orchestration, Event-driven architecture. Design backend services. Build backend services", "postedDate" : "2026-06-12T21:53:35.403", "createdAt" : "2026-06-12T21:53:35.403", "lastUpdated" : "2026-06-14T22:34:45.972", "ingestTimestamp" : "2026-06-12T21:53:35.403", "mongoId" : "6a2c5eb174d8ee00a08e5fe4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Backend development", "Workflow orchestration", "Event-driven architecture", "Job execution", "State management", "High availability", "Fault tolerance", "Scalability", "API design", "Observability", "System performance", "Troubleshooting", "Idempotency", "Error handling", "Code quality", "Architectural design", "Agile development", "Version control", "CI/CD", "Mentoring", "Problem-solving", "Communication", "System design", "Scalable system design", "Workflow design", "Performance optimization", "Security best practices", "Sprint planning", "Distributed systems", "Cloud platforms", "Databases", "Event-driven architectures", "Temporal", "Google Cloud Workflows", "Kafka", "Spring Boot", "NestJS" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "938-engineering---product-foundations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2aa94174d8ee00a06c2189", "title" : "Requirements Engineer", "company" : "JUST ONE", "industry" : "Aviation & Aerospace", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Athens, Attica, Greece", "locations" : [ "Athens, Attica, Greece" ], "timestamp" : "2026-06-14T18:40:24.229", "fingerprint" : "569af39f9291b576b694678853f21995f2018475415d617a99dc32ae411b5b76", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/286168079C/apply", "externalId" : "286168079C", "industryFunction" : { }, "locationPoint" : "37.98376,23.72784", "structuredLocations" : [ { "city" : "Athens", "state" : "Attica", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "37.9755648,23.7348324" }, { "city" : "Heraklion", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "35.3390800,25.1332843" } ], "locationText" : "Athens, Attica, Greece; Heraklion, Greece", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "domainKnowledge" : "Space science missions; Astrophysics; Exoplanet science; Gravitational wave missions; Systems engineering concepts; Space programs", "domainList" : [ "space-science-missions", "astrophysics", "exoplanet-science", "gravitational-wave-missions", "systems-engineering-concepts", "space-programs" ], "domainSpecificKnowledge" : [ "Space science missions", "Astrophysics", "Exoplanet science", "Gravitational wave missions", "Systems engineering concepts", "Space programs" ], "specialRequirements" : "Remote work case by case", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "JUST ONE, on behalf of its client, a leading European space and technology company driving cutting-edge satellite systems and aerospace engineering solutions, is looking for a motivated and technically driven **Requirements Engineer** to join their growing team in Greece. The Requirements Engineer will maintain and exploit the requirements database, supporting traceability and verification activities, and contributing to the continuous improvement of requirements engineering processes. This position is ideal for an early-career engineer with strong attention to detail, organizational skills, and a strong interest in space missions. ### **Responsibilities:** * Maintain and update the **requirements database (IBM DOORS) ** * Assist in requirements tracing, verification status tracking, and consistency checks across different system levels * Deliver and review technical specifications exports from the requirements database * Contribute to the improvement and documentation of requirements engineering processes * Contribute to the projects’ documentation (specification tree, traceability matrices, progress reports) **Requirements** * MSc in Aerospace Engineering, Systems Engineering, Physics, Astrophysics, or a related field * **Strong interest in space science missions** , particularly astrophysics, exoplanet science, or gravitational wave missions * Basic understanding of **systems engineering** concepts (requirements, interfaces, verification/validation) * Analytical mindset, attention to detail, and ability to work with complex technical information * **English** (proficient level, required) and German (good-to-have) * Motivation to learn tools, standards, and processes used in large European space programs * Military service obligations fulfilled (for male Greek citizens) **Benefits** * **Base Salary €32K/yr - €45K/yr depending on level of experience, can be negotiated for senior profiles** * Direct involvement in flagship ESA scientific missions (LISA, PLATO) * Hands-on training in requirements engineering and DOORS with close mentoring by experienced requirements engineers * Collaborative, high‑trust culture that values initiative, asking questions early, and taking calculated risks. Exposure to an international leading space industry environment through daily interactions with * Opportunities for professional growth in systems engineering and space project lifecycle activities * Private health insurance, flexible hours, remote work on a case by case basis, training/certification budget, business travel opportunities, and benefit vouchers. * Competitive Greek salary based on experience * **Locations:** Athens (preferred) or Heraklion", "summaryDescription" : "Requirements Engineer at JUST ONE", "postedDate" : "2026-06-10T00:00:00.000", "createdAt" : "2026-06-12T02:55:53.561", "lastUpdated" : "2026-06-14T18:40:24.229", "ingestTimestamp" : "2026-06-12T02:55:53.561", "mongoId" : "6a2aa94174d8ee00a06c2189", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/286168079C", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Space science missions", "Astrophysics", "Exoplanet science", "Gravitational wave missions", "Systems engineering concepts", "Space programs" ], "skillCount" : 6, "jobCategory" : "other", "jobSubcategory" : "aviation-aerospace", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Space Technology" }, { "id" : "6a305452f292fd229cf173c5", "title" : "Associate Staff Engineer (Python + Agentic Workflows)", "company" : "Nagarro", "industry" : "Information Technology And Services", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Associate Staff Engineer in Mumbai, India, adjusted for mid-level experience and the technology industry." }, "location" : "Mumbai, IN", "locations" : [ "Mumbai", "IN" ], "timestamp" : "2026-06-16T07:36:17.018", "fingerprint" : "614755fdd5ccdede6220459ead9184eefd7a6062a3efee6dd1e00bce6158ed91", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Nagarro1/744000132075349-associate-staff-engineer-python-agentic-workflows-", "externalId" : "744000132075349", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mumbai", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "19.0549990,72.8692035" } ], "locationText" : "Mumbai, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceLevel" : "not-applicable", "technicalSkills" : "Python, JavaScript, React, Next. js, REST APIs, AI, LLMs, SAP, Microsoft Graph, SharePoint, Databases, CI/CD, SSO", "professionalSkills" : [ "Software development", "Backend development", "Frontend development", "API integration", "Application development", "System design", "Troubleshooting", "Problem-solving" ], "hardSkillsList" : [ "Python programming", "Backend services", "Enterprise applications", "AI applications", "Agentic AI workflows", "Prompt engineering", "System prompt design", "Tool definition", "Prompt optimization", "AI orchestration", "Autonomous AI agents", "Enterprise task execution", "Frontend development", "Real-time applications", "Enterprise dashboards", "AI-powered web applications", "Cloud deployment", "On-premises deployment", "SSO authentication", "Enterprise networking", "Security best practices", "CI/CD pipelines", "Version control", "Software deployment", "Software architecture", "Scalable application development" ], "hardSkills" : [ { "name" : "Python programming", "level" : "intermediate" }, { "name" : "Backend services", "level" : "intermediate" }, { "name" : "Enterprise applications", "level" : "intermediate" }, { "name" : "AI applications", "level" : "intermediate" }, { "name" : "Agentic AI workflows", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "System prompt design", "level" : "intermediate" }, { "name" : "Tool definition", "level" : "intermediate" }, { "name" : "Prompt optimization", "level" : "intermediate" }, { "name" : "AI orchestration", "level" : "intermediate" }, { "name" : "Autonomous AI agents", "level" : "intermediate" }, { "name" : "Enterprise task execution", "level" : "intermediate" }, { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "Real-time applications", "level" : "intermediate" }, { "name" : "Enterprise dashboards", "level" : "intermediate" }, { "name" : "AI-powered web applications", "level" : "intermediate" }, { "name" : "Cloud deployment", "level" : "intermediate" }, { "name" : "On-premises deployment", "level" : "intermediate" }, { "name" : "SSO authentication", "level" : "intermediate" }, { "name" : "Enterprise networking", "level" : "intermediate" }, { "name" : "Security best practices", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Software deployment", "level" : "intermediate" }, { "name" : "Software architecture", "level" : "intermediate" }, { "name" : "Scalable application development", "level" : "intermediate" } ], "majorSkills" : "Python backend, Agentic Workflows, AI agents, LLMs", "majorSkillsList" : [ "Python backend", "Agentic Workflows", "AI agents", "LLMs" ], "coreResponsibilities" : "Design AI agents, Develop AI agents, Deploy AI agents, Build agentic AI workflows, Optimize agentic AI workflows, Develop Python backend services, Orchestrate AI interactions, Manage multi-turn conversations, Execute enterprise API calls, Deliver structured responses, Design frontend applications, Implement frontend applications, Maintain frontend applications, Develop one-click automation workflows, Develop interactive dashboards, Develop formatted response views, Develop conversational interfaces, Integrate AI agents with enterprise platforms, Design prompt engineering strategies, Implement prompt engineering strategies, Develop intelligent enterprise automation solutions, Deploy AI applications, Maintain AI applications, Collaborate with business stakeholders, Understand business requirements, Translate requirements into solutions, Optimize AI agent performance, Optimize AI agent reliability, Optimize AI agent scalability, Optimize AI agent user experience, Ensure AI applications follow best practices, Maintain technical documentation, Maintain architecture designs, Maintain API integrations, Maintain deployment guides, Maintain operational documentation, Stay updated with AI technologies, Stay updated with LLM capabilities, Stay updated with automation trends", "teamCollaboration" : "Cross-functional teams; Product teams; Architects; Developers", "projectManagementSkills" : [ "CI/CD pipelines", "Software deployment practices" ], "domainKnowledge" : "Agentic AI workflows; Large Language Models (LLMs); Prompt engineering; System prompt design; Tool definition; Prompt optimization; Multi-step AI orchestration; Autonomous AI agents; Enterprise task execution; Retrieval-Augmented Generation (RAG); Vector databases; Document processing pipelines; Embeddings; Semantic search; Software architecture; API integration; Scalable application development; SSO authentication; Enterprise networking; Security best practices; DevOps practices; Containerization; Cloud platforms; AI application deployment", "domainList" : [ "agentic-ai-workflows", "large-language-models-llms", "prompt-engineering", "system-prompt-design", "tool-definition", "prompt-optimization", "multi-step-ai-orchestration", "autonomous-ai-agents", "enterprise-task-execution", "retrieval-augmented-generation-rag", "vector-databases", "document-processing-pipelines", "embeddings", "semantic-search", "software-architecture", "api-integration", "scalable-application-development", "sso-authentication", "enterprise-networking", "security-best-practices", "devops-practices", "containerization", "cloud-platforms", "ai-application-deployment" ], "domainSpecificKnowledge" : [ "Agentic AI workflows", "Large Language Models (LLMs)", "Prompt engineering", "System prompt design", "Tool definition", "Prompt optimization", "Multi-step AI orchestration", "Autonomous AI agents", "Enterprise task execution", "Retrieval-Augmented Generation (RAG)", "Vector databases", "Document processing pipelines", "Embeddings", "Semantic search", "Software architecture", "API integration", "Scalable application development", "SSO authentication", "Enterprise networking", "Security best practices", "DevOps practices", "Containerization", "Cloud platforms", "AI application deployment" ], "toolProficiency" : [ "React", "Next.js", "SAP", "Microsoft Graph", "SharePoint", "GitHub Copilot", "Cursor", "Claude Code", "Vector databases" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Technical documentation; Architecture designs; API integrations; Deployment guides; Operational documentation", "continuousLearning" : "Stay updated with AI technologies; Stay updated with LLM capabilities; Stay updated with automation trends", "problemSolvingSkills" : "Analytical skills; Troubleshooting skills; Problem-solving skills; Root cause analysis; Debugging; Performance tuning", "qualificationsBasic" : "4+ years experience, Python backend development, Modern JavaScript frontend frameworks, Scalable backend services, REST APIs, Enterprise applications, Production-grade AI applications, Large Language Models (LLMs), Function calling, Tool usage, Agentic AI workflows, Prompt engineering, System prompt design, Tool definition, Prompt optimization, Multi-step AI orchestration, Autonomous AI agents, Reasoning, Retrieval, Enterprise task execution, Enterprise applications integration, SAP integration, Microsoft Graph integration, SharePoint integration, Relational databases integration, Workflow systems integration, React frontend development, Next. js frontend development, Responsive dashboards, Interactive user interfaces, Real-time applications development, Enterprise dashboards development, AI-powered web applications development, Cloud environments deployment, On-premises environments deployment, SSO authentication knowledge, Enterprise networking knowledge, Security best practices knowledge, CI/CD pipelines experience, Version control systems experience, Modern software deployment practices, Software architecture understanding, API integration understanding, Scalable application development principles, Analytical skills, Troubleshooting skills, Problem-solving skills, Verbal communication skills, Written communication skills, Bachelor's degree", "qualificationsPreferred" : "AI-assisted development tools familiarity, GitHub Copilot familiarity, Cursor familiarity, Claude Code familiarity, Enterprise automation platforms building, Internal business tools building, Operational dashboards building, Retrieval-Augmented Generation (RAG) exposure, Vector databases exposure, Document processing pipelines exposure, Embeddings exposure, Semantic search exposure, DevOps practices experience, Containerization experience, Cloud platforms experience, AI application deployment experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "\uD83D\uDC4B\uD83C\uDFFCWe're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Requirements * Experience : 4+ years * Strong experience in full-stack software development with strong expertise in Python backend development and modern JavaScript frontend frameworks such as React, Next.js, or equivalent. * Strong programming skills in Python with experience building scalable backend services, REST APIs, and enterprise applications. * Hands-on experience developing production-grade AI applications using Large Language Models (LLMs), including function calling, tool usage, and agentic AI workflows. * Strong understanding of prompt engineering, system prompt design, tool definition, prompt optimization, and multi-step AI orchestration. * Experience designing and implementing autonomous AI agents capable of reasoning, retrieval, and enterprise task execution. * Experience integrating enterprise applications through REST APIs, including platforms such as SAP, Microsoft Graph, SharePoint, relational databases, and workflow systems. * Strong frontend development experience using React, Next.js, or similar frameworks to build responsive dashboards and interactive user interfaces. * Experience developing real-time applications, enterprise dashboards, and AI-powered web applications. * Experience deploying applications on cloud or on-premises environments with knowledge of SSO authentication, enterprise networking, and security best practices. * Hands-on experience with CI/CD pipelines, version control systems, and modern software deployment practices. * Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or similar productivity tools is preferred. * Experience building enterprise automation platforms, internal business tools, or operational dashboards is an advantage. * Exposure to Retrieval-Augmented Generation (RAG), vector databases, document processing pipelines, embeddings, and semantic search is desirable. * Strong understanding of software architecture, API integration, and scalable application development principles. * Excellent analytical, troubleshooting, and problem-solving skills with the ability to work independently in a fast-paced, evolving environment. * Strong verbal and written communication skills with the ability to collaborate effectively across cross-functional teams. * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. * Experience with DevOps practices, containerization, cloud platforms, and AI application deployment is an added advantage. Responsibilities * Design, develop, and deploy AI agents capable of autonomous reasoning, data retrieval, decision-making, and task execution across enterprise applications and business systems. * Build and optimize agentic AI workflows using LLMs, function calling, tool orchestration, and multi-step reasoning to automate complex business processes. * Develop robust Python backend services that orchestrate AI interactions, manage multi-turn conversations, execute enterprise API calls, and deliver structured, reliable responses. * Design, implement, and maintain modern frontend applications using React, Next.js, or equivalent frameworks to provide intuitive dashboards, real-time AI interactions, and user-friendly interfaces. * Develop one-click automation workflows, interactive dashboards, formatted response views, and conversational interfaces for enterprise users. * Integrate AI agents with enterprise platforms such as SAP, Microsoft SharePoint, Microsoft Graph, relational databases, approval systems, and other business applications through secure APIs. * Design and implement prompt engineering strategies, system prompts, tool definitions, and orchestration logic to ensure accurate, secure, and reliable AI agent behavior. * Develop intelligent enterprise automation solutions for document retrieval, business reporting, operational alerting, workflow automation, approval management, and data analysis. * Deploy and maintain AI applications on cloud or on-premises infrastructure with Single Sign-On (SSO), secure authentication, CI/CD pipelines, and enterprise networking configurations. * Collaborate with business stakeholders, product teams, architects, and developers to understand business requirements and translate them into scalable AI-powered solutions. * Optimize AI agent performance, reliability, scalability, and user experience through continuous testing, monitoring, debugging, and performance tuning. * Ensure AI applications follow enterprise security, governance, and software engineering best practices. * Maintain technical documentation, architecture designs, API integrations, deployment guides, and operational documentation. * Stay updated with emerging AI technologies, LLM capabilities, and enterprise automation trends to continuously improve solution capabilities. ## Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.", "summaryDescription" : "Associate Staff Engineer (Python + Agentic Workflows) at Nagarro. Skills: Python backend, Agentic Workflows, AI agents, LLMs. Design AI agents. Develop AI agents", "postedDate" : "2026-06-14T17:56:39.000", "createdAt" : "2026-06-15T23:37:48.624", "lastUpdated" : "2026-06-16T07:36:17.018", "ingestTimestamp" : "2026-06-15T23:37:48.624", "mongoId" : "6a305452f292fd229cf173c5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python programming", "Backend services", "Enterprise applications", "AI applications", "Agentic AI workflows", "Prompt engineering", "System prompt design", "Tool definition", "Prompt optimization", "AI orchestration", "Autonomous AI agents", "Enterprise task execution", "Frontend development", "Real-time applications", "Enterprise dashboards", "AI-powered web applications", "Cloud deployment", "On-premises deployment", "SSO authentication", "Enterprise networking", "Security best practices", "CI/CD pipelines", "Version control", "Software deployment", "Software architecture", "Scalable application development", "Python backend", "Agentic Workflows", "AI agents", "LLMs", "Software development", "Backend development", "API integration", "Application development", "System design", "Troubleshooting", "Problem-solving", "Software deployment practices", "Large Language Models (LLMs)", "Multi-step AI orchestration", "Retrieval-Augmented Generation (RAG)", "Vector databases", "Document processing pipelines", "Embeddings", "Semantic search", "DevOps practices", "Containerization", "Cloud platforms", "AI application deployment", "React", "Next.js", "SAP", "Microsoft Graph", "SharePoint", "GitHub Copilot", "Cursor", "Claude Code" ], "skillCount" : 57, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d58aa74d8ee00a0b864e1", "title" : "Working Student AI Full Stack Engineer (m/f/d)", "company" : "Merantix Momentum", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Working Student AI Full Stack Engineer in Berlin, Germany, with adjustments for the technology industry and part-time employment." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-15T09:13:41.939", "fingerprint" : "fec8d4ba8eb39572a417fa5c14b11e0fdd659c0a6b3fb4a1f7d905207ca5e87d", "source" : "personio", "language" : "en", "applyUrl" : "https://merantix-momentum.jobs.personio.de/job/2633368", "externalId" : "2633368", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, TypeScript, ReactJS, REST APIs, GraphQL, SQL, PyTorch, Scikit-learn", "professionalSkills" : [ "API development", "Database work", "Developer tooling" ], "hardSkillsList" : [ "Web development", "AI/ML applications" ], "hardSkills" : [ { "name" : "Web development", "level" : "intermediate" }, { "name" : "AI/ML applications", "level" : "intermediate" } ], "majorSkills" : "AI, Full Stack, Software Development", "majorSkillsList" : [ "AI", "Full Stack", "Software Development" ], "coreResponsibilities" : "Support frontend component development, Support backend service development, Contribute to API development, Contribute to database work, Participate in code reviews, Participate in team rituals, Help maintain documentation, Improve developer tooling", "teamCollaboration" : "Senior engineers; Team rituals; Stand-ups; Sprint planning; Retrospectives", "projectManagementSkills" : [ "Sprint planning" ], "domainKnowledge" : "Machine learning; AI Ethics", "domainList" : [ "machine-learning", "ai-ethics" ], "domainSpecificKnowledge" : [ "Machine learning", "AI Ethics" ], "documentationSkills" : "Maintain documentation", "continuousLearning" : "Learning and development budget; Conferences; Educational resources; Weekly events; Monthly events", "innovationCreativity" : "AI innovation", "specialRequirements" : "20 hours/week", "qualificationsBasic" : "Currently enrolled in BSc/MSc, Solid programming skills in Python, Solid programming skills in TypeScript/ReactJS, First practical web development experience", "qualificationsPreferred" : "Experience with REST APIs, Basic SQL experience, Exposure to ML frameworks, Fluency in German", "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including automotive, manufacturing, retail, healthcare and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. Your role As a Working Student in our Full Stack team, you'll contribute directly to the development of AI-powered applications. It will be no toy projects, it will be real production code. You'll work alongside senior engineers and get hands-on experience building the interfaces and backend systems that bring machine learning to life. Your main responsibilities will be: Support the development of frontend components and backend services for AI-powered applications Contribute to API development (REST/GraphQL) and database work under senior guidance Participate in code reviews and team rituals (stand-ups, sprint planning, retrospectives) Help maintain documentation and improve developer tooling Your profile You are a great fit for our team if you bring these qualifications: Currently enrolled in a BSc or MSc program in computer science, software engineering, or a related field Solid programming skills in Python and/or TypeScript/ReactJS First practical experience with web development (internship, own projects, or coursework counts) Curiosity about AI/ML applications and how they get deployed in the real world Experience with REST APIs or basic SQL is a plus Any exposure to ML frameworks (PyTorch, scikit-learn, etc.) is a plus Fluency in English; German proficiency is a plus Available for 20 hours/week (flexible around your study schedule) What we offer Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs. International Team: We are a dynamic and international team. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy, as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. Brand new office space: Bright and open office situated on the AI Campus in Berlin. Hardware allowance: We give you support to have all the equipment you would need to thrive in your job. Sabbatical Leave; Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club), or groceries (Edenred).", "summaryDescription" : "Working Student AI Full Stack Engineer (m/f/d) at Merantix Momentum. Skills: AI, Full Stack, Software Development. Support frontend component development. Support backend service development", "createdAt" : "2026-06-14T07:07:09.766", "lastUpdated" : "2026-06-15T09:13:41.939", "ingestTimestamp" : "2026-06-14T07:07:09.766", "mongoId" : "6a2d58aa74d8ee00a0b864e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Web development", "AI/ML applications", "AI", "Full Stack", "Software Development", "API development", "Database work", "Developer tooling", "Sprint planning", "Machine learning", "AI Ethics" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43a74d8ee00a09b0d0e", "title" : "Talent Acquisition - Working Student", "company" : "Picnic", "industry" : "Logistics", "salary" : { "min" : 16.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-16T01:58:54.689", "fingerprint" : "460dcd870ad95b3588d7fc294c64d013c711e6d939163d281baef69ce0c00852", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=6020061", "externalId" : "6020061", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "PART_TIME", "professionalSkills" : [ "Talent sourcing", "Recruitment initiatives", "Talent pipelines", "Recruitment outcomes" ], "hardSkillsList" : [ "LinkedIn Search" ], "hardSkills" : [ { "name" : "LinkedIn Search", "level" : "intermediate" } ], "majorSkills" : "Talent Acquisition, Recruiting, Sourcing", "majorSkillsList" : [ "Talent Acquisition", "Recruiting", "Sourcing" ], "coreResponsibilities" : "Support recruitment team with events, Support recruitment team with sourcing, Support recruitment team with initiatives, Understand specific requirements for open positions, Actively look for potential candidates, Approach candidates to explore opportunities, Support team with creative strategies, Build talent pipelines, Bring fresh ideas to talent pipeline processes, Provide input to enhance talent pipeline processes, Improve overall recruitment outcomes, Recruit for Business Course event", "teamCollaboration" : "Work closely with recruiters; Work with internal teams", "toolProficiency" : [ "Greenhouse ATS" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Picnic Tech Academy; Lunch & Learn sessions; Tailored soft skills training; Professional language courses", "specialRequirements" : "16-20 hours a week", "qualificationsBasic" : "Currently pursuing studies in Psychology, HRM, Business Administration or similar, Prior internships or working-student experience, Excellent verbal and written communication skills in English", "qualificationsPreferred" : "Prior experience in active sourcing or recruiting, Familiarity with Greenhouse ATS, Dutch, German or French language skills", "workSiteFlexibility" : "Flexible", "rawDescription" : "In a nutshell Our Recruitment team plays a crucial role in finding top talent worldwide and persuading them to join Picnic. If you have excellent communication skills, thrive on identifying the right profiles, and know how to get candidates excited about unique challenges, we want to hear from you! Understanding the profiles we seek is key, as finding the right people is vital to our success. As a working student, you get the opportunity to join our Recruitment team - helping with events, sourcing, and recruitment initiatives! We are looking for someone who can support our team for at least 16-20 hours a week (the more the merrier). Tricks of the trade Collaboration: You'll work closely with our recruiters and various internal teams to understand the specific requirements for open positions Sourcing: Using LinkedIn Search and other search techniques, you'll actively look for potential candidates and approach them to explore opportunities at Picnic Strategy: You'll support the team with creative strategies that help build the talent pipelines with unique talent Innovation: You'll bring fresh ideas and provide valuable input to enhance our talent pipeline processes and improve overall recruitment outcomes For example, every year at Picnic we organize a Business Course event for potential Analyst candidates (see video here). In 2026, it could be YOU the one recruiting for it, together with the support of our Analytics Recruitment team. Your superpowers You are currently pursuing studies in Psychology, HRM, Business Administration or similar fields You have prior internships or working-student experience, preferably in active sourcing or recruiting You are ambitious and dare to generate and share cool ideas all the time Excellent verbal and written communication skills in English and preferably also Dutch, German or French You are a team player with strong organizational skills and attention to detail At Picnic, we use Greenhouse as our ATS. It's great if you're familiar with it or if you're curious to learn! Picnic Perks \uD83D\uDE80Every expert was once a beginner! You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses. \uD83C\uDF0DMake a difference You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! \uD83E\uDD1DTeamwork makes the dream work With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more! \uD83E\uDD57Fresh Lunch, coffee, and snacks Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up. \uD83D\uDCAAStay healthy Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials. There are plenty of sports communities and events to get involved with, from tennis to yoga to climbing! \uD83D\uDCB0Attractive package You’ll receive a gross hourly wage of €16,75 (all inclusive) along with a laptop and phone to support your work. Travel costs can also be reimbursed, depending on your location.", "summaryDescription" : "Talent Acquisition - Working Student at Picnic. Skills: Talent Acquisition, Recruiting, Sourcing. Support recruitment team with events. Support recruitment team with sourcing", "postedDate" : "2026-06-14T20:08:15.287", "createdAt" : "2026-06-14T20:08:15.287", "lastUpdated" : "2026-06-16T01:58:54.689", "ingestTimestamp" : "2026-06-14T20:08:15.287", "mongoId" : "6a2ca43a74d8ee00a09b0d0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "LinkedIn Search", "Talent Acquisition", "Recruiting", "Sourcing", "Talent sourcing", "Recruitment initiatives", "Talent pipelines", "Recruitment outcomes", "Greenhouse ATS" ], "skillCount" : 9, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a839674d8ee00a0676940", "title" : "Manager, Benefit Design & Requirements", "company" : "AffirmedRx, PBC", "industry" : "Healthcare", "salary" : { "min" : 115500.0, "max" : 167500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline adjusted for manager seniority, healthcare industry, and Louisville, KY city tier." }, "location" : "Louisville, Kentucky, United States", "locations" : [ "Louisville", "Kentucky", "United States" ], "timestamp" : "2026-06-14T20:10:08.621", "fingerprint" : "f32eadef2996df129160f1f6d6d088ea63ed5e77f230ceabd519d542ba3cf402", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/affirmedrxpbc/jobs/5253318008", "externalId" : "5253318008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Louisville", "state" : "Kentucky", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.2542376,-85.7594070" } ], "locationText" : "Louisville, Kentucky, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Benefit design", "PBM platform", "Requirement documentation", "Process excellence", "Analytical aptitude" ], "hardSkillsList" : [ "Benefit configuration", "Requirement traceability" ], "hardSkills" : [ { "name" : "Benefit configuration", "level" : "intermediate" }, { "name" : "Requirement traceability", "level" : "intermediate" } ], "majorSkills" : "Benefit design, Requirement documentation, Process excellence", "majorSkillsList" : [ "Benefit design", "Requirement documentation", "Process excellence" ], "coreResponsibilities" : "Resolve issues before build begins, Advise clients on industry best practices, Advise clients on platform capabilities, Advise clients on implementation considerations, Translate complex PBM benefit configurations, Maintain requirement traceability, Capture scope changes, Communicate scope changes, Reflect scope changes in deliverables, Build standardized requirement templates, Improve standardized requirement templates, Build intake frameworks, Improve intake frameworks, Build documentation standards, Improve documentation standards, Ensure alignment between requirements and configuration, Manage defect logging, Manage resolution tracking, Manage remediation confirmation, Deliver go-live readiness reports, Build rapport, Ask probing questions, Synthesize complex source material, Create function from scratch", "teamCollaboration" : "Implementation lead; Client manager; Implementation Managers; vendors; TPAs; clinical operations", "domainKnowledge" : "Pharmacy benefits management; PBM benefit configurations; CMS guidelines; ACA compliance; ERISA", "domainList" : [ "pharmacy-benefits-management", "pbm-benefit-configurations", "cms-guidelines", "aca-compliance", "erisa" ], "domainSpecificKnowledge" : [ "Pharmacy benefits management", "PBM benefit configurations", "CMS guidelines", "ACA compliance", "ERISA" ], "documentationSkills" : "Benefit requirement documents", "innovationCreativity" : "Establish a function", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical aptitude", "specialRequirements" : "25% travel", "outcomesObjectives" : "Improve health care outcomes; Deliver highest quality patient outcomes", "qualificationsBasic" : "Translate complex PBM benefit configurations, Build and continuously improve standardized requirement templates, Manage competing stakeholder expectations", "qualificationsPreferred" : "Exposure to regulatory frameworks governing pharmacy benefits, Hands-on experience building or configuring benefits within a PBM or pharmacy adjudication platform", "workSiteFlexibility" : "Onsite", "rawDescription" : "AffirmedRx is on a mission to improve health care outcomes by bringing clarity, integrity, and trust to pharmacy benefit management. We are committed to making pharmacy benefits easy to understand, straightforward to access and always in the best interest of employers and the lives they impact. We accomplish this by bringing total clarity to business practices, leading with clinical approaches, and utilizing state-of-the-art technology. Join us in improving health care outcomes for all! We promise to do what’s right, always. Position Summary: The Manager, Benefit Design work directly with the implementation lead or client manager to resolve issues before build begins, reducing downstream risk Advise clients on industry best practices, AffirmedRx platform capabilities, and implementation considerations to help them make informed benefit design decisions Benefit Requirements Documentation: Translate complex PBM benefit configurations into clear, comprehensive benefit requirement documents that serve as the authoritative source of truth for the build team Maintain requirement traceability throughout the lifecycle; ensuring that scope changes are captured, communicated, and reflected in all downstream deliverables Build and continuously improve standardized requirement templates, intake frameworks, and documentation standards that scale across client engagements Collaborate with Implementation Managers, vendors, TPAs, and clinical operations to ensure full alignment between documented requirements and system configuration Benefit Build Review manage defect logging, resolution tracking, and remediation confirmation Deliver clear go-live readiness reports summarizing test outcomes, open items, and risk assessments Process Excellence ability to build rapport, ask probing questions, and manage competing stakeholder expectations with professionalism High analytical aptitude and comfort with ambiguity; can synthesize complex, inconsistent source material into clean, actionable deliverables A builder’s mindset — energized by creating something from scratch and motivated by the opportunity to establish a function others will grow within Exposure to regulatory frameworks governing pharmacy benefits (e.g., CMS guidelines, ACA compliance, ERISA) preferred Hands-on experience building or configuring benefits within a PBM or pharmacy adjudication platform is a strong plus Willingness to travel up to 25% What you get: To impact industry change in the pharmacy benefits management space, while delivering the highest quality patient outcomes To work in a culture where people thrive because when OUR team thrives, OUR business thrives Competitive compensation, including health, dental, vision and other benefits Note: AffirmedRx is committed to providing equal employment opportunities to all employees and applicants for employment. Remote employees are expected to maintain a professional work environment free of distractions to ensure optimal performance and collaboration.", "summaryDescription" : "Manager, Benefit Design & Requirements at AffirmedRx, PBC. Skills: Benefit design, Requirement documentation, Process excellence. Resolve issues before build begins. Advise clients on industry best practices", "postedDate" : "2026-06-11T18:35:32.351", "createdAt" : "2026-06-11T18:35:32.351", "lastUpdated" : "2026-06-14T20:10:08.621", "ingestTimestamp" : "2026-06-11T18:35:32.351", "mongoId" : "6a2a839674d8ee00a0676940", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115500, "salaryAnnualMax" : 167500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Benefit configuration", "Requirement traceability", "Benefit design", "Requirement documentation", "Process excellence", "PBM platform", "Analytical aptitude", "Pharmacy benefits management", "PBM benefit configurations", "CMS guidelines", "ACA compliance", "ERISA" ], "skillCount" : 12, "jobCategory" : "operations", "jobSubcategory" : "operations-general", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a307f48f292fd229c05793b", "title" : "AI Technical Enablement Lead", "company" : "Google", "industry" : "Technology", "salary" : { "min" : 215000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Lead AI Technical Enablement Lead at a large technology company in Austin, United States, adjusted for seniority and industry." }, "location" : "[Austin, TX, USA, [500 W 2nd St, Austin, TX 78701, USA], Austin, 78701, TX, US]", "locations" : [ "[Austin, TX, USA, [500 W 2nd St, Austin, TX 78701, USA], Austin, 78701, TX, US]", "[Boulder, CO, USA, [Boulder, CO, USA], Boulder, null, CO, US]", "[Chicago, IL, USA, [Chicago, IL, USA], Chicago, null, IL, US]", "[Atlanta, GA, USA, [Atlanta, GA, USA], Atlanta, null, GA, US]" ], "certifications" : [ "Google Cloud Certified - Professional Machine Learning Engineer", "Google Cloud Certified - Professional Data Engineer" ], "timestamp" : "2026-06-16T10:45:16.338", "fingerprint" : "de12e7d37bea6c2fe99a04120ad2a17e2d450a0251c3ba044bc8a06bc7fd5510", "source" : "google", "language" : "en", "externalId" : "86342908721930950", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI, Machine Learning, Deep Learning, Cloud Computing, Google Cloud, GCP, Kubernetes, Docker, Python, Java, C++, Go, TensorFlow, PyTorch, Keras, Data Engineering, Big Data, Distributed Systems", "professionalSkills" : [ "Technical leadership", "Product strategy", "Go-to-market strategy", "Customer engagement", "Partner enablement", "Technical training", "Solution architecture", "Cross-functional leadership" ], "hardSkillsList" : [ "AI model development", "MLOps implementation", "Cloud architecture design", "Data pipeline development", "API design", "System integration" ], "hardSkills" : [ { "name" : "AI model development", "level" : "intermediate" }, { "name" : "MLOps implementation", "level" : "intermediate" }, { "name" : "Cloud architecture design", "level" : "intermediate" }, { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "AI, Machine Learning, Cloud, Technical Enablement", "majorSkillsList" : [ "AI", "Machine Learning", "Cloud", "Technical Enablement" ], "coreResponsibilities" : "Develop and execute technical enablement strategies, Create and deliver technical training content, Build and maintain AI/ML solutions, Collaborate with product and engineering teams, Engage with customers and partners, Provide technical guidance and support, Drive adoption of Google Cloud AI products, Stay current with AI/ML advancements", "teamCollaboration" : "Cross-functional teams; Product management; Engineering teams; Sales teams; Partner organizations", "projectManagementSkills" : [ "Agile methodologies", "Roadmap planning", "Project execution" ], "domainKnowledge" : "Artificial Intelligence; Machine Learning; Deep Learning; Cloud Computing; Google Cloud Platform; Data Engineering; Distributed Systems", "domainList" : [ "artificial-intelligence", "machine-learning", "deep-learning", "cloud-computing", "google-cloud-platform", "data-engineering", "distributed-systems" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Machine Learning", "Deep Learning", "Cloud Computing", "Google Cloud Platform", "Data Engineering", "Distributed Systems" ], "toolProficiency" : [ "Kubernetes", "Docker", "TensorFlow", "PyTorch", "GCP", "JIRA" ], "communicationSkills" : "Technical presentations; Customer communication; Partner communication", "documentationSkills" : "Technical documentation; Training materials", "continuousLearning" : "Industry conferences; Technical workshops", "innovationCreativity" : "Develop novel solutions; Prototype new features", "problemSolvingSkills" : "Complex problem solving; Root cause analysis; Troubleshooting", "specialRequirements" : "Occasional travel", "outcomesObjectives" : "Increase AI/ML product adoption; Improve customer technical proficiency; Drive partner enablement success", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree, PhD", "workSiteFlexibility" : "Onsite", "summaryDescription" : "AI Technical Enablement Lead at Google. Skills: AI, Machine Learning, Cloud, Technical Enablement. Develop and execute technical enablement strategies. Create and deliver technical training content", "postedDate" : "2026-06-16T01:49:58.411", "createdAt" : "2026-06-16T01:49:58.411", "lastUpdated" : "2026-06-16T10:45:16.338", "ingestTimestamp" : "2026-06-16T01:49:58.411", "mongoId" : "6a307f48f292fd229c05793b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 325000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "AI model development", "MLOps implementation", "Cloud architecture design", "Data pipeline development", "API design", "System integration", "AI", "Machine Learning", "Cloud", "Technical Enablement", "Technical leadership", "Product strategy", "Go-to-market strategy", "Customer engagement", "Partner enablement", "Technical training", "Solution architecture", "Cross-functional leadership", "Agile methodologies", "Roadmap planning", "Project execution", "Artificial Intelligence", "Deep Learning", "Cloud Computing", "Google Cloud Platform", "Data Engineering", "Distributed Systems", "Google Cloud Certified - Professional Machine Learning Engineer", "Google Cloud Certified - Professional Data Engineer", "Kubernetes", "Docker", "TensorFlow", "PyTorch", "GCP", "JIRA" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ced6a42beec4dd3d8456a8", "title" : "Senior AI Enablement Engineer", "company" : "ISHIR", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Enablement Engineer in Dallas, TX, adjusted for seniority, contract employment type, and technology industry." }, "location" : "Dellas, TX", "locations" : [ "Dellas", "TX" ], "timestamp" : "2026-06-15T05:24:22.407", "fingerprint" : "f97aff50b4d5ab255e6c87f0a4b5e743a0e8994f0e9a31301f27b22fe867b699", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ishir.breezy.hr/p/451dbb430d8c-senior-ai-enablement-engineer", "externalId" : "451dbb430d8c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dellas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.2638905,-98.5456116" } ], "locationText" : "Dellas, Texas, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Develop AI solutions, Enable AI adoption, Support AI initiatives", "domainKnowledge" : "Artificial Intelligence", "domainList" : [ "artificial-intelligence" ], "domainSpecificKnowledge" : [ "Artificial Intelligence" ], "remoteFriendly" : true, "rawDescription" : "AI Engineer What You", "summaryDescription" : "Senior AI Enablement Engineer at ISHIR. Develop AI solutions. Enable AI adoption", "createdAt" : "2026-06-14T04:19:48.055", "lastUpdated" : "2026-06-15T05:24:22.407", "ingestTimestamp" : "2026-06-14T04:19:48.055", "mongoId" : "69ced6a42beec4dd3d8456a8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Artificial Intelligence" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d58d574d8ee00a0b874a3", "title" : "LNDS - 093 - Operations Automation Intern (Internal Services) AI‑Enabled Automation Project", "timestamp" : "2026-06-16T03:06:12.899", "fingerprint" : "29e9a2f6e32ea048d16c113f4d3e618816373c6b84c186d18270486e49b29f66", "source" : "personio", "language" : "en", "applyUrl" : "https://lnds.jobs.personio.de/job/2649216", "externalId" : "2649216", "industryFunction" : { }, "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Automate internal services, Enable AI-driven automation", "domainKnowledge" : "AI-enabled automation", "domainList" : [ "ai-enabled-automation" ], "domainSpecificKnowledge" : [ "AI-enabled automation" ], "summaryDescription" : "LNDS - 093 - Operations Automation Intern (Internal Services) AI‑Enabled Automation Project. Automate internal services. Enable AI-driven automation", "createdAt" : "2026-06-14T21:06:56.927", "lastUpdated" : "2026-06-16T03:06:12.899", "ingestTimestamp" : "2026-06-14T21:06:56.927", "mongoId" : "6a2d58d574d8ee00a0b874a3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "AI-enabled automation" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : false, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c799074d8ee00a0941dca", "title" : "Growth & AI Enablement Analyst", "company" : "Fanatics Collectibles", "industry" : "E-Commerce", "salary" : { "min" : 48000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an E-Commerce Growth & AI Enablement Analyst in Paris, France, adjusted for mid-seniority and company size." }, "location" : "Paris, Paris, France", "locations" : [ "Paris", "Paris", "France" ], "timestamp" : "2026-06-16T01:34:11.895", "fingerprint" : "93f68debd35c255560d1c1e52ea4180baadf3fad084d570056cc94a7784c066c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4207837009", "externalId" : "4207837009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "technicalSkills" : "AI, LLM, ML", "professionalSkills" : [ "Data analysis", "Automation" ], "hardSkillsList" : [ "Data wrangling", "Reporting", "Alerting" ], "hardSkills" : [ { "name" : "Data wrangling", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Alerting", "level" : "intermediate" } ], "majorSkills" : "Growth analysis, AI enablement, Marketing automation", "majorSkillsList" : [ "Growth analysis", "AI enablement", "Marketing automation" ], "coreResponsibilities" : "Design AI-powered internal tools, Develop LLM-based workflows, Evaluate AI/ML APIs, Integrate third-party tools, Identify high-impact use cases, Prototype solutions quickly, Build automations for campaigns, Build seller growth tools, Automate reporting workflows, Develop dashboards and reports, Provide actionable recommendations, Support strategic initiatives, Assist building business cases, Coordinate budget forecasting, Track spend, Propose AI value", "teamCollaboration" : "Business teams; Marketing teams; Finance teams", "domainKnowledge" : "Collectibles; Digital sports platform; Sportsbook; iGaming platform; Live commerce; Marketplace", "domainList" : [ "collectibles", "digital-sports-platform", "sportsbook", "igaming-platform", "live-commerce", "marketplace" ], "domainSpecificKnowledge" : [ "Collectibles", "Digital sports platform", "Sportsbook", "iGaming platform", "Live commerce", "Marketplace" ], "communicationSkills" : "Presentations", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Data-driven insights", "outcomesObjectives" : "Improve decision-making; Automate workflows; Enhance buyer experience; Reduce manual effort; Support GMV growth; Optimize marketing strategies; Enhance customer lifetime value; Inform promotional strategies; Inform referral programs; Unlock AI value", "qualificationsBasic" : "AI-powered internal tools, LLM-based workflows, AI/ML APIs, Third-party tools, Commercial and marketing campaigns, Customer promotions, Seller growth tools, Clipping platform, Voucher attribution tools, Routine reporting, Alerting workflows, Dashboards and reports, Key metrics, Marketing strategies, Customer lifetime value, Data-driven insights, Promotional strategies, Referral programs, Business cases, Presentations for senior management, Marketing effectiveness, AI tool ROI, Growth opportunities, Budget forecasting, Spend tracking, AI tooling", "qualificationsPreferred" : "Marketing automation platforms, CRM systems, A/B testing, Experimental design methods, Integration processes, Marketing tools, Multilingual abilities, Working in diverse teams", "rawDescription" : "About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators. Join our trailblazing team at the intersection of technology and fan culture. As a growth-focused startup within the Fanatics ecosystem, we're leveraging exclusive rights to merchandise from the MLB, NFL, and NBA. Our live commerce app (Fanatics Live) and Collect marketplace (Formerly, PWCC) is positioned to revolutionize the world of collecting. Blending the spirit of a startup with the stability of an industry titan. Our reach to 90+ million fans gives us a launching pad unlike any other to spearhead innovation. The Role: You are a skilled Growth Analyst with a strong appetite for data and a passion for leveraging AI to move fast. In this role, you will combine data expertise with hands-on AI development to support the growth, optimization, and automation of our marketing and commercial initiatives. You will work closely with business and marketing teams to ship AI-powered tools that improve decision-making, automate workflows, and enhance the buyer experience. As Voggt scales, you will be at the forefront of embedding AI capabilities across commercial and marketing functions, turning manual, repetitive work into intelligent, automated systems. Responsibilities AI Enablement & Tooling Design and build AI-powered internal tools that help business and marketing teams work faster — think automated reporting assistants, campaign brief generators, or seller coaching tools Develop and maintain LLM-based workflows (e. g. summarization, classification, content generation) that reduce manual effort across the commercial team Evaluate and integrate AI/ML APIs and third-party tools to accelerate business workflows Act as the team's AI translator: identify high-impact use cases, prototype solutions quickly, and iterate with stakeholders Marketing & Commercial Automation Build and maintain automations used in commercial and marketing campaigns to support GMV growth, such as customer promotions (spend X get Y, voucher giveaways) Build seller growth tools such as the clipping platform and voucher attribution tools Automate routine reporting and alerting workflows so teams spend time on decisions, not data wrangling Data Analysis & Insights Develop and maintain dashboards and reports monitoring key metrics: promotion effectiveness, customer engagement, and performance tracking Provide actionable recommendations to optimize marketing strategies and enhance customer lifetime value Support strategic initiatives with data-driven insights to inform promotional strategies and referral programs Strategy Support Assist in building business cases and presentations for senior management on marketing effectiveness, AI tool ROI, and growth opportunities Coordinate with finance and marketing teams on accurate budget forecasting and spend tracking Stay current on AI tooling and bring proactive proposals for where AI can unlock the most value for the team Preferred Skills: Experience with marketing automation platforms and CRM systems. Familiarity with A/B testing and other experimental design methods. Knowledge of integration processes between marketing tools. Multilingual abilities or experience working in diverse teams is a plus. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required by personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company. Subject to applicable laws, Fanatics Collectibles may choose to run a background check. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud. Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com). For added security, where possible, apply through our company website at www.fanaticsinc.com/careers. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Growth & AI Enablement Analyst at Fanatics Collectibles. Skills: Growth analysis, AI enablement, Marketing automation. Design AI-powered internal tools. Develop LLM-based workflows", "postedDate" : "2026-06-14T19:10:15.225", "createdAt" : "2026-06-14T19:10:15.225", "lastUpdated" : "2026-06-16T01:34:11.895", "ingestTimestamp" : "2026-06-14T19:10:15.225", "mongoId" : "6a2c799074d8ee00a0941dca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data wrangling", "Reporting", "Alerting", "Growth analysis", "AI enablement", "Marketing automation", "Data analysis", "Automation", "Collectibles", "Digital sports platform", "Sportsbook", "iGaming platform", "Live commerce", "Marketplace" ], "skillCount" : 14, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca43874d8ee00a09b0bea", "title" : "Content Creator Working Student", "company" : "Picnic", "industry" : "E-Commerce", "salary" : { "min" : 16.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amsterdam, North Holland, Netherlands", "locations" : [ "Amsterdam", "North Holland", "Netherlands" ], "timestamp" : "2026-06-15T10:00:56.099", "fingerprint" : "e002fd5ea55c243001540e633c3d635e18a5ba9d2855a6c687d1d3119e7ee2aa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.picnic.app/nl/vacancies?gh_jid=7238242", "externalId" : "7238242", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "state" : "North Holland", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, North Holland, Netherlands", "employmentType" : "INTERNSHIP", "majorSkills" : "Content creation, Social media", "majorSkillsList" : [ "Content creation", "Social media" ], "coreResponsibilities" : "Ontwikkelen van engaging content, Creëren en editen van UGC-video’s, Helpen opbouwen community creators", "domainKnowledge" : "Social trends; Paid social advertenties", "domainList" : [ "social-trends", "paid-social-advertenties" ], "domainSpecificKnowledge" : [ "Social trends", "Paid social advertenties" ], "communicationSkills" : "Schrijven van captions", "continuousLearning" : "Persoonlijke groeikansen; Lepaya-cursussen; Academy-trainingen; Professionele psychologen; Diverse trainingen", "innovationCreativity" : "Creatieve ideeën", "qualificationsBasic" : "Vloeiend Nederlands en Engels, Minimaal 3 dagen per week beschikbaar", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In een notendop Kom bij Picnic en maak content! Picnic is de snelst groeiende online supermarkt ter wereld en maakt boodschappen doen simpel, leuk, duurzaam en betaalbaar voor iedereen. Wij zoeken een creatieve en energieke Content Creator Working Student om onze aanwezigheid op onze socials te laten groeien. Je maakt boeiende content: van behind-the-scenes momenten tot trending content. Jouw werk wordt niet alleen op onze social kanalen gedeeld, maar kan ook worden ingezet in social ads. De kunst van het vak Virale content: Ontwikkelen van engaging content met viral potentieel, zoals behind-the-scenes snippets en andere social trends UGC-video's: Creëren en editen van User-Generated Styled Content (UGC) video’s die ook gebruikt kunnen worden voor paid social advertenties Creator community: Een community van content creators binnen Picnic helpen opbouwen Over jou... Gepassioneerd over content creatie en social media, altijd op de hoogte van de laatste trends Handig met je telefoon en kunt snel video’s schieten en editen Sterk in het schrijven van pakkende captions en teksten Sociaal, enthousiast en vol creatieve ideeën Je spreekt vloeiend Nederlands en Engels Minimaal 3 dagen per week beschikbaar Picnic perks \uD83E\uDD57Verse lunch, koffie en snacks Op kantoor hebben we een koffiebar met eigen barista's, chefs die dagelijks een heerlijke, verse lunch bereiden en snacks en fruit zodat je energie op pijl blijft! ✍\uD83C\uDFFC Learning & development Bij Picnic krijg je alle ruimte om jezelf verder te ontwikkelen. We bieden persoonlijke groeikansen met Lepaya-cursussen, Academy-trainingen en meer. Werk je liever aan je mentale welzijn? Via OpenUp krijg je gratis toegang tot professionele psychologen en diverse trainingen. \uD83D\uDCB0Aantrekkelijk pakket Je ontvangt een bruto uurloon van €16.75, samen met een laptop en telefoon om je werk te ondersteunen. Afhankelijk van je woonplaats kunnen ook je reiskosten worden vergoed. Ben jij klaar om jouw creativiteit in te zetten en mee te bouwen aan het werkgeversmerk van Picnic? Solliciteer nu en start met creëren!", "summaryDescription" : "Content Creator Working Student at Picnic. Skills: Content creation, Social media. Ontwikkelen van engaging content. Creëren en editen van UGC-video’s", "postedDate" : "2026-06-14T09:16:37.973", "createdAt" : "2026-06-14T09:16:37.973", "lastUpdated" : "2026-06-15T10:00:56.099", "ingestTimestamp" : "2026-06-14T09:16:37.973", "mongoId" : "6a2ca43874d8ee00a09b0bea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Content creation", "Social media", "Social trends", "Paid social advertenties" ], "skillCount" : 4, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d465274d8ee00a0b4e6eb", "title" : "Working Student, Onboarding Specialist", "company" : "Planet", "industry" : "SaaS", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level Working Student in the Technology industry in Berlin, Germany, adjusted for part-time employment." }, "location" : "Berlin Office", "locations" : [ "Berlin Office" ], "timestamp" : "2026-06-16T01:58:30.625", "fingerprint" : "465a0ca62e59e834b23588ee2b1e4297cbf0b8dfadde9e5fc58a2899bb095db5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/planetlabs/jobs/7992931", "externalId" : "7992931", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "coreResponsibilities" : "Manage customer relationships, Drive customer retention, Ensure customer satisfaction, Facilitate customer value realization", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet is looking for an Onboarding Specialist Working Student to support onboarding programs that help customers successfully adopt and use Planet data, platforms, and workflows. In this role, you will support customer onboarding activities, assist with training sessions and communications, and help maintain resources that enable customers to quickly realize value from Planet products. You will work closely with the Onboarding Specialist, as well as Customer Success, Support, Education, and Solutions teams to support onboarding delivery across customer segments. This role combines customer-facing coordination with operational support and content maintenance to help ensure a smooth and consistent onboarding experience. This role sits within the Planet Education & Enablement team. This is a part-time, hybrid role which will require you to work from our Berlin office 2 days per week. Impact You’ll Own: Support customer onboarding activities, including scheduling, communications, and onboarding follow-ups Assist with the delivery of onboarding sessions and customer training programs for Planet products, platforms, and workflows Partner with Sales, Technical Support, Customer Success, and Solutions teams to help ensure smooth onboarding experiences for new customers Maintain and update onboarding resources, guides, and customer-facing materials across onboarding and education platforms Support onboarding communications and campaigns to encourage customer engagement and adoption Track onboarding feedback, common customer questions, and support trends to help identify opportunities for content and process improvements Help maintain consistent onboarding workflows and processes across customer engagements Assist with operational coordination for global onboarding activities across customer time zones What You Bring: Currently enrolled in a Bachelor’s or Master’s degree program in a relevant field Solid communication skills with the ability to explain complex concepts clearly to both technical and non-technical audiences Interest in customer onboarding, customer education, technical enablement, or customer success Familiarity with APIs, developer tools, or technical products Ability to learn new technical products and workflows quickly Technical aptitude, including comfort navigating technical documentation and troubleshooting common workflow issues Solid organizational skills and attention to detail in a fast-paced environment Comfort working cross-functionally with customer-facing and technical teams Experience coordinating projects, trainings, meetings, or customer-facing activities through coursework, internships, student organizations, or previous work experience What Makes You Stand Out: Experience working with geospatial, remote sensing, or scientific data products Familiarity with coding languages esp Python Familiarity with Learning Management Systems (LMS), customer education platforms, or help centers Exposure to onboarding automation, lifecycle communications, or customer engagement tools Experience supporting technical or developer-focused customers Fluency in multiple languages Application Deadline: September 10, 2026 by 11:59p / 23:59 CET (Central European Time) Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Generous time off including vacation, holidays and company global days off Comprehensive Leave Policies Employee Wellness Program Home Office Reimbursement Monthly benefit to choose from a variety of providers (Urban Sports Club, Groceries, Clothes, Entertainment, Transportation...)* Monthly Phone and Internet Reimbursement Access to LinkedIn Learning Volunteering Benefits San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e. g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.", "summaryDescription" : "Working Student, Onboarding Specialist at Planet. Manage customer relationships. Drive customer retention", "postedDate" : "2026-06-14T21:00:43.353", "createdAt" : "2026-06-14T21:00:43.353", "lastUpdated" : "2026-06-16T01:58:30.625", "ingestTimestamp" : "2026-06-14T21:00:43.353", "mongoId" : "6a2d465274d8ee00a0b4e6eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6cc774d8ee00a091b4b8", "title" : "Working Student B2B Marketing", "company" : "Zattoo", "industry" : "Media", "salary" : { "min" : 36000.0, "max" : 48000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Working Student in Media in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin, Berlin, Germany", "locations" : [ "Berlin", "Berlin", "Germany" ], "timestamp" : "2026-06-16T01:53:30.027", "fingerprint" : "034972107633a4eef737069dbb5734a099981cfdfa7ad07ce91f1e120de1401d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://zattoo.com/de/en/company/jobs/info/?gh_jid=4799003101", "externalId" : "4799003101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "technicalSkills" : "HubSpot, Canva", "professionalSkills" : [ "Account-based marketing", "Digital campaigns", "Event operations", "Social media marketing", "B2B marketing", "Marketing automation", "CMS platforms", "Email platforms", "Spreadsheet reporting" ], "hardSkillsList" : [ "Campaign management", "Budget tracking", "Invoice tracking" ], "hardSkills" : [ { "name" : "Campaign management", "level" : "intermediate" }, { "name" : "Budget tracking", "level" : "intermediate" }, { "name" : "Invoice tracking", "level" : "intermediate" } ], "majorSkills" : "B2B Marketing, Digital Campaigns, Event Management", "majorSkillsList" : [ "B2B Marketing", "Digital Campaigns", "Event Management" ], "coreResponsibilities" : "Set up digital campaigns, Test digital campaigns, Launch digital campaigns, Coordinate assets with agencies, Coordinate feedback with agencies, Upload contact lists, Maintain contact lists, Maintain campaign tracking, Support event operations, Build social content, Schedule social content, Publish social content, Track budgets, Track invoices", "teamCollaboration" : "Work with agencies; Work with sales; Work with product team; Work with Senior ABM Manager; Work with Events Manager; Work with Director of B2B Marketing", "domainKnowledge" : "Streaming; TV as-a-Service; Enterprise buyers", "domainList" : [ "streaming", "tv-as-a-service", "enterprise-buyers" ], "domainSpecificKnowledge" : [ "Streaming", "TV as-a-Service", "Enterprise buyers" ], "toolProficiency" : [ "HubSpot", "Canva" ], "continuousLearning" : "Internal trainings; German language classes; Hackdays", "specialRequirements" : "Remote work worldwide (up to 8 weeks/year), Occasional travel for events", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's, Fluent in English", "qualificationsPreferred" : "Familiarity with LinkedIn marketing, Basic paid social experience, Interest in B2B, Interest in enterprise tech, Interest in media/streaming industry, German language skills, Willingness to travel for events", "workSiteFlexibility" : "Flexible", "rawDescription" : "YOUR FUTURE, ON DEMAND The ideal blend of stability and flexibility. A genuinely human employer that cares for people and the planet. True autonomy to shape what comes next, for us and you. This is the perfect platform to take your career where you want. Back in 2005, we pioneered Europe’s first TV streaming service. Today, we’re the world’s first certified climate neutral TV streaming provider. Several million users across three countries. Over 230 colleagues of 47 nationalities. We’re the grown-up start-up, helping to shape a better future since day one. That hasn’t changed, even if the world has. We’re friendly, international, inclusive – and our people say we’re reliable and transparent, too. It’s why they trust us and believe in what we do. THE ROLE Join our B2B Marketing team and help bring account-based marketing campaigns, live and online events to life for one of Europe's pioneering streaming companies. You'll work hands-on across digital campaigns, event operations, and social media — learning enterprise B2B marketing from the inside while making a real impact from a small, autonomous team. THE B2B MARKETING TEAM We're a three-person direct and five- to seven-person extended projects team responsible for Zattoo's entire B2B go-to-market — from account-based and product marketing campaigns targeting TV operators and telcos worldwide to online and live industry events like IBC Amsterdam. We work with agencies, sales, and our portfolio and product team telling Zattoo's story to Streaming / TV as-a-Service and modular enterprise buyers. You'll be the fourth of us, working directly with our Senior ABM Manager Marie-Anne and Events Manager Lisa-Marie on the things that actually ship and ever-more-often also our Director of B2B Marketing Hanns on our strategic market and PR narrative. WHAT YOU’LL DO Set up, test, and launch digital campaigns — emails, landing pages, forms, and workflows in HubSpot and social platforms Coordinate assets and feedback loops with external agencies and online / live event organisers Keep our data clean: upload and maintain contact lists, campaign associations, and tracking in HubSpot Support event operations end-to-end — from registration setup and promotion to on-site support and post-event follow-up Build, schedule and publish organic and paid social content (primarily LinkedIn, using e. g. Canva and various enterprise-grade GenAIs based on agency-created assets) Track budgets and invoices against campaign and event plans WHAT YOU’LL BRING Currently enrolled in a Bachelor's or Master's programme in Marketing, Business, Communications, or similar Comfortable working with digital tools — you'll pick up HubSpot, but some experience with marketing automation, CMS, or email platforms helps The ability to think and project across functional boundaries: connecting marketing mechanics to business context, team dynamics, and systems Solid with spreadsheets (Excel or Google Sheets) for tracking and reporting Organised and reliable — you can manage parallel tasks without things slipping Self-directed enough to work in a small team with real autonomy Fluent in English (our working language) Bonus: Familiarity with LinkedIn marketing or basic paid social Interest in B2B, enterprise tech, or the media/streaming industry German language skills Willingness to occasionally travel for events (e. g. IBC Amsterdam) WHY JOIN US? At Zattoo, you’re always on firm ground with real freedom to explore. You’ll have the support and opportunity you need to go far, while you’re helping us create a sustainable and entertainment-filled future for all. WHAT WE OFFER YOU Reward: strong market competitive salary Invest: valuable work experience, guidance, and growth opportunities Regulate: trust based flexible working hours and the option for remote work worldwide for up to 8 weeks per year Plus: We’re sharing: Free access to the best streaming experience on the market We’re developing: Access to exciting learning opportunities like internal trainings, German language classes and hackdays We’re inclusive: ‘Zattooies’ are a fun, engaged, and diverse team made up of 47 nationalities We’re healthy: Health checks, mental wellbeing support, team sports and more! We’re responsible: We are carbon neutral, an active employee Green team We’re sociable: A calendar of events with fireside chats, lunches, in-house bar, BBQ’s, monthly socials, summer party and an annual off-site event Zattoo enables our users to view indiscriminately and we reflect that in our team too. Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other characteristic protected by law we encourage everyone to apply and will give everyone equal consideration. We are an equal opportunities employer — join us and help build a diverse team dedicated to revolutionising the way you watch TV. We are committed to ensuring fair, open, and equitable hiring practices and are happy to answer any questions you may have about us or the role throughout the whole process. In line with the EU Pay Transparency Directive, we share the applicable compensation range with you before your first interview. You can learn more about us at: https://zattoo.com", "summaryDescription" : "Working Student B2B Marketing at Zattoo. Skills: B2B Marketing, Digital Campaigns, Event Management. Set up digital campaigns. Test digital campaigns", "postedDate" : "2026-06-14T18:33:54.937", "createdAt" : "2026-06-14T18:33:54.937", "lastUpdated" : "2026-06-16T01:53:30.027", "ingestTimestamp" : "2026-06-14T18:33:54.937", "mongoId" : "6a2c6cc774d8ee00a091b4b8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Campaign management", "Budget tracking", "Invoice tracking", "B2B Marketing", "Digital Campaigns", "Event Management", "Account-based marketing", "Digital campaigns", "Event operations", "Social media marketing", "B2B marketing", "Marketing automation", "CMS platforms", "Email platforms", "Spreadsheet reporting", "Streaming", "TV as-a-Service", "Enterprise buyers", "HubSpot", "Canva" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8ba574d8ee00a0973593", "title" : "AI Automation & Enablement Specialist", "company" : "Ncontracts", "industry" : "Client Services", "salary" : { "min" : 90000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T02:42:08.203", "fingerprint" : "ba5261a4f0e8eb4abdd9f862af7a704df21e7e5252c4cfde9746ac794ae67c4d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ncontracts/daea5de0-51f0-438a-b4e5-3fff4e5b53cc/application", "externalId" : "daea5de0-51f0-438a-b4e5-3fff4e5b53cc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Headquartered in Nashville, Tennessee, Ncontracts leads the industry in integrated risk management and compliance solutions, serving over 5,000 financial institutions nationwide. As a seven-time Inc. 5000 Fastest Growing Companies honoree and consistent year-over-year recipient of \"Best Places to Work\" awards, we offer a thriving, work environment where career growth and life-work balance go hand in hand. At Ncontracts, you'll join a team of industry experts dedicated to strengthening the financial services sector through innovation and thought leadership. We're seeking creative, collaborative, and self-driven professionals across all areas of our business - from developing cutting-edge solutions to sales, marketing, customer support, and beyond. Join us in our mission to make the financial industry stronger and more resilient, while advancing your career in a supportive, dynamic environment that values your unique skills and perspectives. Position Overview The AI Automation & Enablement Specialist is responsible for driving operational efficiency, AI adoption, and systems integration across the Client Services organization at Ncontracts. This role sits at the intersection of technical execution and strategic enablement – building the automations, data pipelines, and AI-powered workflows that eliminate process inconsistencies, reduce manual effort, and allow CS leadership and the broader team to operate with greater speed and clarity. The role begins with CS leadership – identifying and resolving the manual, repetitive, and inconsistent workflows that create friction and slow decision-making – and then scales proven solutions, tools, and capabilities across the broader Client Services organization. This is not a traditional IT or data engineering position. It is a hybrid role: part technical builder, part internal AI coach, and part systems architect, with a mandate to continuously improve how the CS organization operates. The ideal candidate brings both technical depth and strong communication skills – equally effective designing a complex automation and delivering hands-on training to a non-technical team. Above all, this person is a proactive observer and self-starter who identifies operational gaps and improvement opportunities independently, brings forward structured recommendations, and takes ownership of solutions from concept through delivery. How This Role Operates This role operates on a structured three-part model that balances specialist autonomy with leadership alignment: - Identify & Propose: The specialist proactively observes how the CS team operates, identifies inefficiencies, and brings forward well-formed recommendations. Backing up observations with proposed solutions is the standard, not the exception. - Prioritize: The specialist maintains a living backlog of active work and proposed initiatives; the Manager determines order of priority to ensure alignment with CS and organizational goals. - Execute: Once prioritized, the specialist owns delivery end-to-end, working directly with CS leaders and their teams, managing their own timeline, and operating independently or collaboratively as the work requires. Key Responsibilities Automation & Agent Building - Design, build, and deploy AI agents and workflows that automate manual, recurring processes across CS leadership and the broader Client Services team. - Create integrations between business systems – including Salesforce, Claude, ChurnZero, Monday.com http://Monday.com, Gong, and other CS tools – that reduce manual handoffs and surface intelligence automatically. - Automate leadership reporting workflows, eliminating manual data pulls, uploads, and analysis cycles so CS leadership has data and insights on a defined, automated cadence. - Maintain, iterate on, and improve automations and agents as tools, processes, and organizational needs evolve. - Maintain a documentation library for all automations, agents, and integrations to ensure accessibility, continuity, and visibility across the organization. Data Pipeline Ownership - Own the data flow architecture across CS tools, defining which data goes where, how it gets there, and how it stays current and reliable. - Ensure data integrity across all integrations, identifying and resolving data quality issues that could compromise the reliability of automated outputs or downstream decision-making. - Surface risk signals and customer health indicators through automated pipelines, delivering trending analysis and early-warning intelligence to CS leadership without requiring manual data pulls. - Partner with cross-functional teams, including IT, Salesforce administration, RevOps, and Product Operations on pipeline design and system connectivity. Proactive Observation, Efficiency & Continuous Improvement - Actively observe how the CS team and CS leadership operate, identifying process inconsistencies, manual workarounds, duplicated effort, and unmet needs that could be addressed through automation or AI. - Maintain a running backlog of observations, proposed initiatives, and improvement opportunities; surface these to the Manager, SI Ops proactively and on a regular cadence. - Prioritize efficiency as a core lens, identifying where varying processes, inconsistent workflows, or manual dependencies are creating friction, and driving toward standardized, scalable solutions. - Lead vendor evaluation, tool rationalization, and experimentation, assessing new platforms and capabilities, running structured pilots, and bringing data-driven recommendations on what to adopt, integrate, scale, or sunset. - Establish feedback loops from training, adoption, and live workflows back into the initiative backlog, continuously refining AI priorities based on what is and is not working across the organization. AI Adoption & Training - Collaborate with IT and other AI champions across the company, maintaining alignment with established guidelines, standards, and standard operating procedures. - Build and maintain a curated prompt library tailored to Client Services use cases giving team members role-specific prompts and workflow templates they can use immediately. - Develop and deliver a structured AI adoption program for Client Services, training colleagues on how to use Claude, Copilot, and other AI tools effectively in their day-to-day work through formal training sessions, office hours, and hands-on “build with me” labs. - Create enablement resources – guides, videos, workflow templates, and reference documents – that support ongoing adoption and reduce dependency on live instruction over time. - Champion AI adoption through storytelling, executive briefings, and visible wins, packaging outcomes and efficiency gains in ways that build organizational momentum and demonstrate the value of continued investment. Business Systems Integration - Serve as the Client Services organization’s expert on how its tools connect, identifying friction points, proposing integration solutions, and implementing them once prioritized. - Function as a core member of the SI Ops team first, partnering closely with SI Ops colleagues on workflow design, process standardization, and operational efficiency initiatives before extending work to the broader CS organization. - Lead vendor selection and tool rationalization within the CS tech stack, identifying redundancies, underutilized platforms, and consolidation opportunities; raising recommendations with supporting analysis. - Act as a technical partner to non-technical stakeholders translating business problems into automation solutions and communicating technical decisions in plain language. - Ensure CS leadership has automated, reliable access to the data, analysis, and reports they need without manual setup, inconsistent formatting, or recurring intervention. Governance, Documentation & Success Metrics - Own and maintain a practical AI governance framework for Client Services defining acceptable use parameters, data handling guidelines, and guardrails for AI tools in partnership with IT, Security, and enterprise-wide AI governance bodies. - Establish and enforce AI safe-use policies and risk controls within Client Services – ensuring all automations, agents, and AI-powered workflows meet data privacy, security, and compliance standards appropriate for a regulated financial services environment. - Define and track success metrics for the AI and automation program – including time saved, adoption rates, agents deployed, efficiency gains, and risk signal coverage – and report outcomes to the Manager, SI Ops on a regular cadence. - Maintain comprehensive documentation for every automation, agent, integration, and workflow, ensuring organizational continuity and enabling others to build on existing solutions. - Surface what is working, what is not, and where to invest next, bringing forward recommendations rather than waiting for questions. Qualifications Required - 3+ years of experience in a technical role involving automation, AI tools, systems integration, or workflow development – ideally within a SaaS or financial services environment. - Demonstrated hands-on experience building automations and workflows using platforms such as n8n, Zapier, Make, or comparable tools. - Experience working with AI tools including large language models (Claude, ChatGPT, or similar), including prompt engineering, agent design, and practical business application. - Ability to work with APIs, webhooks, MCPs, and data integrations to connect business systems and automate data flows. - Strong ability to communicate technical concepts clearly to non-technical stakeholders – this role trains and enables people, not just builds for them. - Demonstrated track record of proactively identifying problems and opportunities without waiting to be directed – a self-starter who brings ideas and recommendations forward. - Ability to manage multiple projects, prioritize independently within an agreed framework, and deliver in a fast-paced environment. Preferred - Bachelor’s degree in a relevant field or equivalent professional experience. - Experience with Salesforce, including report building, data exports, and API connectivity. - Experience with ChurnZero or comparable customer success platforms used in enterprise SaaS environments. - Familiarity with JavaScript, Python, or other scripting languages for custom automation logic. - Experience designing or delivering internal training programs on AI or technology tools. - Experience in financial services, fintech, compliance, or a regulated industry SaaS environment. - Familiarity with AI governance concepts and responsible AI use in an enterprise context. Tools & Technology - n8n (or comparable) – Required. Workflow automation and agent orchestration platform. - Claude (Anthropic) – Required. Primary AI platform used across Client Services. - Salesforce – Required. Core CRM from which data pipelines originate. - REST APIs, webhooks, and MCPs – Required. For connecting systems and building reliable data pipelines. - Prompt engineering – Required. Designing, testing, and maintaining effective prompts for LLMs. - ChurnZero (or comparable) – Familiarity with platform structure and data model to support integration work. - Monday.com http://Monday.com (or comparable) – Project and workflow management; automation of task creation, routing, and status. WE OFFER ALL FULL-TIME TEAM MEMBERS: - A fun, fast-paced work environment - Responsible PTO Plan that meets or exceeds state and local medical and family leave laws - 11 paid holidays - Community and social events to keep you connected and engaged - Mental Health Benefits - Medical, Dental and Vision insurance - Company-paid Group Life Insurance, Short- and Long-Term Disability - Flexible Spending Account & Health Savings Account - Aflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice - Pet Insurance - 401 (k) with company match with eligibility on Day 1 of employment - 2 Paid Volunteer Time Off Days - And much more! *Part-Time, Temporary, Contractor, and Intern positions are not eligible for company benefits, including paid time off, health insurance, and other employee benefit programs. AAP/EEO Statement Ncontracts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.", "summaryDescription" : "AI Automation & Enablement Specialist at Ncontracts", "createdAt" : "2026-06-14T20:11:42.332", "lastUpdated" : "2026-06-16T02:42:08.203", "ingestTimestamp" : "2026-06-14T20:11:42.332", "mongoId" : "6a2c8ba574d8ee00a0973593", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a7d0a74d8ee00a0666915", "title" : "AI Enablement Engineer", "company" : "TENEX", "industry" : "Engineering", "salary" : { "min" : 145000.0, "max" : 205000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Enablement Engineer in Kansas City, adjusted for the cybersecurity industry and company size." }, "location" : "Kansas City Metro", "locations" : [ "Kansas City Metro", "San Jose, CA", "Sarasota, FL HQ" ], "timestamp" : "2026-06-14T21:34:47.513", "fingerprint" : "9d08b85f5656373ddff3986c095bc9a114ff5287d9e0acb754e116b103540cc0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/tenex/f9f63366-f8ef-4209-83b1-4957ed92453c/application", "externalId" : "f9f63366-f8ef-4209-83b1-4957ed92453c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kansas City", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.1001050,-94.5781416" }, { "city" : "San Jose", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3361663,-121.8905910" }, { "city" : "Sarasota", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.3365805,-82.5308545" } ], "locationText" : "Kansas City, Missouri, United States; San Jose, California, United States; Sarasota, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, REST APIs, JSON, Git, GitHub, Claude, Claude.ai, Claude Code, Claude Projects, custom skills, MCP connectors, Gemini Enterprise", "professionalSkills" : [ "Prompt engineering", "AI governance", "AI monitoring", "AI security tooling", "Change management", "Technical writing", "Internal enablement" ], "hardSkillsList" : [ "Building integrations", "Debugging auth flows", "Building lightweight services", "Protecting sensitive data", "AI risks", "Secrets management", "SDLC practices", "Compliance frameworks" ], "softSkillsList" : [ "Consultative instincts", "Self-directed", "Bias toward shipping", "Platform mindset" ], "hardSkills" : [ { "name" : "Building integrations", "level" : "intermediate" }, { "name" : "Debugging auth flows", "level" : "intermediate" }, { "name" : "Building lightweight services", "level" : "intermediate" }, { "name" : "Protecting sensitive data", "level" : "intermediate" }, { "name" : "AI risks", "level" : "intermediate" }, { "name" : "Secrets management", "level" : "intermediate" }, { "name" : "SDLC practices", "level" : "intermediate" }, { "name" : "Compliance frameworks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Consultative instincts" }, { "name" : "Self-directed" }, { "name" : "Bias toward shipping" }, { "name" : "Platform mindset" } ], "majorSkills" : "AI platform development, Anthropic Claude ecosystem, Integration engineering, AI enablement", "majorSkillsList" : [ "AI platform development", "Anthropic Claude ecosystem", "Integration engineering", "AI enablement" ], "coreResponsibilities" : "Build and evolve TENEX's internal AI platform, Partner with teams to surface needs, Shape our internal AI platform roadmap, Own and execute against a published roadmap, Maintain, expand, and refine our AI work companion, Build integrations between Claude and internal tools, Favor reusable patterns over one-off solutions, Run enablement sessions, Conduct training sessions, Provide documentation, Host AMAs, Perform 1:1 onboarding, Contribute to AI governance decisions, Contribute to AI monitoring decisions, Contribute to AI security tooling decisions", "teamCollaboration" : "Partner with AI Engineer; Partner with teams across TENEX; Work with CSMs; Work with finance leads; Work with recruiters; Work with executives", "projectManagementSkills" : [ "Roadmap ownership", "Predictable execution", "Visible execution" ], "domainKnowledge" : "AI-native MDR; Cybersecurity posture; AI-driven solutions; AI workflows; Prompt injection; Data leakage; Unsanctioned tool use; Output misuse", "domainList" : [ "ai-native-mdr", "cybersecurity-posture", "ai-driven-solutions", "ai-workflows", "prompt-injection", "data-leakage", "unsanctioned-tool-use", "output-misuse" ], "domainSpecificKnowledge" : [ "AI-native MDR", "Cybersecurity posture", "AI-driven solutions", "AI workflows", "Prompt injection", "Data leakage", "Unsanctioned tool use", "Output misuse" ], "toolProficiency" : [ "Claude.ai", "Claude Code", "Claude Projects", "MCP connectors", "Ashby", "Wonderlic", "Fireflies", "Asana", "Google Chat", "Git", "GitHub" ], "communicationSkills" : "Presenting to groups; Written communication", "documentationSkills" : "Documentation writing", "problemSolvingSkills" : "Translate workflow into AI help; Abstract common patterns", "specialRequirements" : "Monday through Thursday onsite, WFH Friday", "outcomesObjectives" : "Ship against roadmap predictably; Scale AI impact across every team; Help every TENEX'er do their best work; Make TENEX faster, smarter, more leveraged", "qualificationsBasic" : "5+ years of experience in software development, Comfortable working across the integration surface, Familiarity with version control (Git/GitHub), Demonstrated ability to design and build for reuse, Demonstrated production experience working with sensitive data, Familiarity with AI-specific security risks, Working knowledge of secrets management, Working knowledge of secure SDLC practices, Working knowledge of compliance frameworks basics, Can sit with a CSM, finance lead, recruiter, or executive, Comfortable presenting to groups, Written communication skills", "qualificationsPreferred" : "Python preferred, Familiarity with Gemini Enterprise is a plus, Experience building or maintaining an internal AI platform, Hands-on experience with AI governance, Hands-on experience with AI security tooling, Hands-on experience with AI usage monitoring platforms, Experience with cybersecurity, Anthropic certifications, AI/ML certifications, Security-related credentials", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "COMPANY OVERVIEW TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape. We’re a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you’ll play a meaningful role in defining and building our culture. Get in on the ground floor. We’re a small but well-funded team that just raised a substantial round – joining now comes with limited risk and unlimited upside. As an AI Enablement Engineer at TENEX, you will partner with our current AI Engineer to build TENEX's internal AI platform: the reusable tools, integrations, and AI work companion that help every TENEX'er do their best work. You will partner with teams across the company to surface needs that shape our platform roadmap, then own that roadmap and ship against it predictably. This role is internal-facing. Your \"customers\" are your colleagues, and your impact is measured by how much faster, smarter, and more leveraged TENEX becomes because of the platform you build. This role is right for someone who finds satisfaction in building systems that scale beyond themselves, who would rather embed AI fluency across the company than be the only person who can do this work. Culture is one of the most important things at TENEX.AI http://TENEX.AI. Explore our culture deck at culture.tenex.ai http://culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work. Location: This role will require Monday through Thursday onsite in our Kansas City office (preferred), with San Jose or Sarasota, FL also considered. WFH Friday. Candidates must live in or be willing to relocate to one of these three cities. JOB RESPONSIBILITIES - Build and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills, Claude Projects, integrations, and department-specific specialists that scale AI impact across every team. - Partner with teams across TENEX (Sales, Customer Success, Marketing, Finance, Legal, HR, Detection Engineering, Security Operations, Forward-Deployed Engineering) to surface needs that shape our internal AI platform roadmap. - Own and execute against a published roadmap. Predictable, visible execution is a core expectation of this role. - Maintain, expand, and refine our AI work companion based on user feedback and emerging needs. - Build integrations between Claude and our internal tools (e.g., Ashby, Wonderlic, Fireflies, Asana, Google Chat) using webhooks, MCP connectors, and APIs. Favor reusable patterns over one-off solutions. - Run enablement: training sessions, documentation, AMAs, and 1:1 onboarding to help every TENEX'er become more AI-native. - Contribute to AI governance, monitoring, and security tooling decisions as TENEX scales its AI usage. REQUIRED SKILLS & QUALIFICATIONS Anthropic Claude ecosystem expertise - Has shipped real work using Anthropic's Claude products, including Claude.ai http://Claude.ai, Claude Code, Cowork, Projects, custom skills, and MCP connectors. Tutorial-level familiarity is not enough. You should be able to point to things you've built that are actually in use by other people. - Comfortable using Claude Code for technical work, including building scripts, integrations, and tooling. - Strong prompt engineering instincts and an ability to translate vague user needs into clear, scoped AI workflows. - Familiarity with Gemini Enterprise is a plus, as we also use it. Engineering fundamentals - 5+ years of experience in software development. Python is preferred. Comfort with REST APIs, webhooks, and JSON-based integrations is required. - Comfortable working across the integration surface: reading API docs, configuring webhooks, debugging auth flows, building lightweight services that connect tools together. - Familiarity with version control (Git/GitHub) and modern engineering practices. - Demonstrated ability to design and build for reuse. You see common patterns across requests and abstract them into platform capabilities rather than building one-off solutions every time. Security and data handling - Strong instincts for protecting sensitive data. You understand that internal AI workflows must be designed with strict guardrails around what data they can access, especially when customer information, employee information, or internal IP could be in scope. You build accordingly. - Demonstrated production experience working with sensitive data (PII, customer data, internal IP, or regulated data). You can speak to specific decisions you've made to protect it. - Familiarity with AI-specific security risks: prompt injection, data leakage to third-party LLMs, unsanctioned tool use, output misuse. You consider these risks proactively, not retroactively. - Working knowledge of secrets management, secure SDLC practices, and the basics of compliance frameworks (e.g., SOC 2). Communication and cross-functional skills - Can sit with a CSM, finance lead, recruiter, or executive and translate their workflow into something AI can help with, without condescension, without overengineering, and without losing patience. - Comfortable presenting to groups: running training sessions, demoing new tools at all-hands meetings, hosting AMAs. - Strong written communication. You will write documentation, policy drafts, status updates, and company-facing announcements. - Comfortable saying \"no\" or \"not yet\" when an idea isn't ready, scoped, or appropriately resourced. Nice-to-have - Experience building or maintaining an internal AI platform at another company. - Familiarity with Asana, Atlassian (Jira/Confluence), Google Chat, Google Workspace, Salesforce, Ashby, or other common B2B SaaS tools we integrate with. - Background in change management, technical writing, or internal enablement. - Experience with cybersecurity, even at a basic level, since several of our internal workflows involve our security and detection teams. - Hands-on experience with AI governance, AI security tooling, or AI usage monitoring platforms. Soft skills - Strong consultative instincts. You naturally ask \"why\" and \"what does success look like\" before building. - Curious about other people's work. Energized by helping non-technical teammates use AI effectively. - Self-directed. You will not have someone managing your daily work, and you will be expected to triage, prioritize, and execute independently. - Bias toward shipping, paired with predictable execution. We move fast, iterate, and deliver against committed timelines. - Platform mindset. You think about how to make your work multiply through other people rather than scaling only with your own time. EDUCATION & CERTIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Anthropic certifications, AI/ML certifications, or security-related credentials are a plus but not required.", "summaryDescription" : "AI Enablement Engineer at TENEX. Skills: AI platform development, Anthropic Claude ecosystem, Integration engineering, AI enablement. Build and evolve TENEX's internal AI platform. Partner with teams to surface needs", "postedDate" : "2026-06-11T21:56:24.591", "createdAt" : "2026-06-11T21:56:24.591", "lastUpdated" : "2026-06-14T21:34:47.513", "ingestTimestamp" : "2026-06-11T21:56:24.591", "mongoId" : "6a2a7d0a74d8ee00a0666915", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 205000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Building integrations", "Debugging auth flows", "Building lightweight services", "Protecting sensitive data", "AI risks", "Secrets management", "SDLC practices", "Compliance frameworks", "Consultative instincts", "Self-directed", "Bias toward shipping", "Platform mindset", "AI platform development", "Anthropic Claude ecosystem", "Integration engineering", "AI enablement", "Prompt engineering", "AI governance", "AI monitoring", "AI security tooling", "Change management", "Technical writing", "Internal enablement", "Roadmap ownership", "Predictable execution", "Visible execution", "AI-native MDR", "Cybersecurity posture", "AI-driven solutions", "AI workflows", "Prompt injection", "Data leakage", "Unsanctioned tool use", "Output misuse", "Claude.ai", "Claude Code", "Claude Projects", "MCP connectors", "Ashby", "Wonderlic", "Fireflies", "Asana", "Google Chat", "Git", "GitHub" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity" }, { "id" : "6a25146374d8ee00a00bb76f", "title" : "Working Student - Creative Operations", "company" : "Audible GmbH", "industry" : "Administrative Support, subsidiaries", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a part-time, entry-level Working Student in Media in Berlin, Germany, adjusted for company size and industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T02:13:33.828", "fingerprint" : "dd53d2028a10b76056c866c1dafc2221fabb2eff3cb307d019cd06755aca6d43", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440215/apply", "externalId" : "0c303024-76dd-4972-80cd-bbc7b63723c9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "PART_TIME", "technicalSkills" : "Figma, Adobe Package", "professionalSkills" : [ "Creative campaign management", "Asset coordination", "Production workflows", "Project management", "Workflow enhancements", "Automation scripts" ], "hardSkillsList" : [ "Creative input", "Quality checks", "Prioritization", "Transcript coordination" ], "hardSkills" : [ { "name" : "Creative input", "level" : "intermediate" }, { "name" : "Quality checks", "level" : "intermediate" }, { "name" : "Prioritization", "level" : "intermediate" }, { "name" : "Transcript coordination", "level" : "intermediate" } ], "majorSkills" : "Creative Operations, Brand Marketing, Content Marketing", "majorSkillsList" : [ "Creative Operations", "Brand Marketing", "Content Marketing" ], "coreResponsibilities" : "Support creative operations pipeline, Facilitate development of marketing campaigns, Coordinate cover artwork, Track projects, Facilitate marketing campaigns, Manage documentation, Manage timelines, Manage resource allocation, Manage deliveries, Coordinate cover and trailer development, Provide creative input, Monitor PM software, Clarify stakeholder requirements, Assign to creative resources, Track progress, Prepare campaign wrap-ups, Prepare creative toolkits, Support quarterly sizzle reels, Support global presentations", "teamCollaboration" : "International Brand and Content marketing team; Creative Operations Manager; Agencies and illustrators; Marketers; Creative resources; Creative Director; Internal sharing", "projectManagementSkills" : [ "Project Management software", "Airtable" ], "domainKnowledge" : "Podcast production; Audiobook production; European markets; Audible Original titles; Digital audiobook provider", "domainList" : [ "podcast-production", "audiobook-production", "european-markets", "audible-original-titles", "digital-audiobook-provider" ], "domainSpecificKnowledge" : [ "Podcast production", "Audiobook production", "European markets", "Audible Original titles", "Digital audiobook provider" ], "toolProficiency" : [ "Airtable" ], "communicationSkills" : "Stakeholder requirements clarification", "documentationSkills" : "Documentation management", "continuousLearning" : "Commuting benefits; Flexible working hours", "innovationCreativity" : "Creative input", "qualificationsBasic" : "Full time enrollment in German program, At least 1 year of studies left, Expected graduation no earlier than 2028, Experience with Windows operating environment, Expertise in Outlook, Excel and Word, Business fluency in English, Business fluency in French, German, Italian, or Spanish", "qualificationsPreferred" : "Organizational skills, Attention to detail, Ability to manage multiple tasks, Ability to manage priorities, Relevant skill in design/creative field, Familiarity with Figma, Adobe Package, Passion for media, entertainment, audio storytelling, Interest in project management, Interest in production workflows, Affinity to AI tools and technology, Excellent communication skills, Ability to work collaboratively", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE Based in Berlin, Audible GmbH is looking for an enthusiastic Working Student – Creative Operations. You'll work with our international Audible Brand and Content marketing team, getting hands-on experience with creative campaign management, asset coordination, and podcast/audiobook production workflows across multiple European markets including Germany, France, Italy and Spain. Your day-to-day will center on supporting our creative operations pipeline from briefing to delivery. You'll work closely with our Creative Operations Manager to facilitate the development of marketing campaigns, coordinate cover artwork for new Audible Original titles with agencies and illustrators, and track projects through our Project Management software. As a pair, you’ll be the vital link between marketers, creative resources, and our Creative Director—ensuring briefings are clear, timelines are met, and deliverables maintain our high-quality standards. As a Working Student - Creative Operations, you will... - Support the Creative Operations Manager in facilitating marketing campaigns across DE, FR, IT and ES —managing documentation, timelines, resource allocation, and deliveries - Coordinate Audible Original cover and trailer development from briefing to ingestion, working with agencies and illustrators – while also actively providing creative input - Monitor our PM software (Airtable) for new project requests, clarify stakeholder requirements, assign to creative resources, and track progress - Prepare campaign wrap-ups and creative toolkits for internal sharing - Support quarterly sizzle reels and global presentations with asset requests, quality checks, prioritization, and transcript coordination ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers’ daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. OUR OFFER - Student position for 20h per week - Compensation of €15.69 per hour - 12 months contract - Up to 4 free catered lunches per week - Commuting benefits - Exciting opportunity to participate in the growth of a global digital audiobook provider - International work environment - Flexible working hours Basic Qualifications: - Full time enrollment in a German state-accredited (staatlich anerkanntem) Bachelor or Master program, in the Berlin/Brandenburg area, and have at least 1 year of studies left - expected graduation no earlier than 2028 - Experience with a Windows operating environment, expertise in Outlook, Excel and Word - Business fluency, written and spoken, in English and one of the following: French, German, Italian, or Spanish Preferred Qualifications: - Organizational skills and attention to detail - Ability to manage multiple tasks and priorities in a deadline-driven environment - Relevant skill in the design/creative field, with some familiarity with tools such as Figma, Adobe Package, etc. - Passion for media, entertainment, and audio storytelling - Interest in or experience with project management and production workflows - Affinity to AI tools and technology (e.g., to support workflow enhancements, automation scripts) - Excellent communication skills and ability to work collaboratively across teams Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Working Student - Creative Operations at Audible GmbH. Skills: Creative Operations, Brand Marketing, Content Marketing. Support creative operations pipeline. Facilitate development of marketing campaigns", "postedDate" : "2026-06-13T18:20:15.582", "createdAt" : "2026-06-13T18:20:15.582", "lastUpdated" : "2026-06-15T02:13:33.828", "ingestTimestamp" : "2026-06-13T18:20:15.582", "mongoId" : "6a25146374d8ee00a00bb76f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10440215/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Creative input", "Quality checks", "Prioritization", "Transcript coordination", "Creative Operations", "Brand Marketing", "Content Marketing", "Creative campaign management", "Asset coordination", "Production workflows", "Project management", "Workflow enhancements", "Automation scripts", "Project Management software", "Airtable", "Podcast production", "Audiobook production", "European markets", "Audible Original titles", "Digital audiobook provider" ], "skillCount" : 20, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c686b74d8ee00a0903555", "title" : "AI Business Operations Intern", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for an entry-level AI Business Operations Intern in New York, United States, with adjustments for the technology industry and internship employment type." }, "location" : "New York, NY", "locations" : [ "New York, NY" ], "timestamp" : "2026-06-15T09:12:02.523", "fingerprint" : "9214fbf09ecc58dad01d34754433375a802285eca5c1e8053a1c362c920fe412", "source" : "jazzhr", "language" : "en", "externalId" : "udj57Jky8L", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "summaryDescription" : "AI Business Operations Intern", "createdAt" : "2026-06-14T06:20:56.624", "lastUpdated" : "2026-06-15T09:12:02.523", "ingestTimestamp" : "2026-06-14T06:20:56.624", "mongoId" : "6a2c686b74d8ee00a0903555", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a305640f292fd229cf26546", "title" : "AI Enablement Principal", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead AI Enablement Principal in Barcelona, Spain, adjusted for the technology industry and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T09:46:28.446", "fingerprint" : "e4fbd7116ca2ebbcec0abaec92c5e190b83bd0195881eb49d419b4f32c6150ff", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000131717985-ai-enablement-principal-hq", "externalId" : "744000131717985", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "N8N, Zapier, Make, Claude", "professionalSkills" : [ "Stakeholder management", "Strategy", "Business operations", "Consulting", "Product management" ], "hardSkillsList" : [ "Workflow automation", "No-code tooling", "Low-code tooling" ], "hardSkills" : [ { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "No-code tooling", "level" : "intermediate" }, { "name" : "Low-code tooling", "level" : "intermediate" } ], "majorSkills" : "AI Enablement, Strategy, Business Partnership", "majorSkillsList" : [ "AI Enablement", "Strategy", "Business Partnership" ], "coreResponsibilities" : "Own adoption outcomes, Be the first responder, Build it yourself, Spec and route it, Coach a Champion, Map AI use-case backlog, Prioritise AI use-case backlog, Drive AI use-case backlog, Sit with teams, Watch how work gets done, Surface automation opportunities, Do something about opportunities, Co-own AI upskilling programme, Activate AI Champions, Coach AI Champions, Sustain AI Champions network, Own cross-functional programme, Shape AI spend governance, Shape AI tooling governance, Build model for speed, Hold line on cost, Co-own company-wide AI OKR, Define progress for AI transition, Ensure use case accessibility, Break silos, Raise floor for everyone", "teamCollaboration" : "Data and Engineering teams; Business functions; Central Data teams; Central Engineering teams; Sponsors and Champions; People teams; Cross-functional programs", "projectManagementSkills" : [ "Programme management" ], "domainKnowledge" : "Local delivery platform; AI tools", "domainList" : [ "local-delivery-platform", "ai-tools" ], "domainSpecificKnowledge" : [ "Local delivery platform", "AI tools" ], "toolProficiency" : [ "N8N", "Zapier", "Make", "Claude" ], "communicationSkills" : "Presenting to VP; Debug workflow", "documentationSkills" : "Write playbooks", "continuousLearning" : "AI upskilling programme", "innovationCreativity" : "Build things themselves; Write the playbook", "problemSolvingSkills" : "Troubleshoot workflow", "outcomesObjectives" : "Turn AI potential into solutions; AI tools are a habit; People actually use AI tools; AI tools save time; AI tools make things better", "qualificationsBasic" : "5 to 8 years of professional experience, Track record of driving complex programs, Shipped things, Hands-on fluency with AI tools, Experience with workflow automation, Experience with no-code/low-code tooling, Build and ship functional automation independently", "qualificationsPreferred" : "Prompt-level proficiency, Machine learning expertise is not required", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. YOUR MISSION As an AI Enablement Partner, you will be the connective tissue between Glovo's business functions and its Data and Engineering teams, turning AI potential into real, working solutions that people use every day. This is not a role where you will be handed a strategy and asked to execute it. You will help shape the strategy, write the playbooks, build the frameworks, and sit shoulder-to-shoulder with teams across the organization until AI tools are not just available - they are a habit. We are hiring people who will be embedded partners: building things themselves when it is quick, routing them when it is complex, and coaching teams on the ground every week as the tooling and the industry evolve. You will own a cluster of business functions as your primary domain, and contribute to cross-functional programs that raise the bar for the whole company. You will have a technical counterpart in the central Data and Engineering teams. You do not need to be a software developer or a data engineer. You need to be someone who moves fast, thinks clearly, earns trust quickly, and is not afraid to build things with your own hands when the situation calls for it. The position sits within the Strategy function and reports to the Director of Strategy. It operates as a horizontal capability that serves the whole business organization, with each Partner developing deep familiarity with a cluster of business functions while contributing to cross-functional programs that benefit Glovo as a whole. THE JOURNEY * Own adoption outcomes across your functions: not whether tools were deployed, but whether people actually use them and whether it saves time or makes things better. * Be the first responder when a function has a problem AI can solve. Build it yourself if it takes a day. Spec and route it if it needs engineering. Coach a Champion to own it long-term. You decide. * Map, prioritise and drive the AI use-case backlog for your functions – in partnership with Sponsors and Champions, but with your own point of view on what deserves to be first. * Sit with teams, watch how work actually gets done, and surface automation opportunities the teams themselves have not thought to articulate. Then do something about them. * Co-own Glovo's AI upskilling programme alongside the Data and People teams: not as a participant, but as the person who knows what the organisation needs because you see it every day on the ground. * Activate, coach and sustain the network of AI Champions in your functions, so adoption scales beyond what you can personally drive. * Own at least one cross-functional programme for the whole organisation: the ROI evaluation framework, the tooling governance model, the use-case library, or the training curriculum. * Shape how Glovo governs AI spend and tooling: build a model that enables speed rather than blocking it, and hold the line between moving fast and losing control of cost. * Co-own the company-wide AI OKR – helping define what progress actually means for a 3,000-person organisation transitioning to AI-first. * Ensure that every use case solved well in one function is immediately accessible to every other function. Break silos. Raise the floor for everyone. ## Qualifications WHAT YOU WILL BRING TO THE RIDE * 5 to 8 years of professional experience, ideally spanning strategy, business operations, consulting, product, or a similar generalist role at a fast-paced tech or tech-adjacent company. * A track record of driving complex, ambiguous programmes to real outcomes - not just to slide decks. * You have shipped things. You know the difference. * Strong stakeholder management skills: you are equally comfortable presenting to a VP and sitting with a Legal analyst to debug a workflow together. You adapt your register without losing your point. * Hands-on fluency with AI tools - you use them daily, you understand their limits, and you can get a non-technical person from zero to useful in a session. Prompt-level proficiency is expected; machine learning expertise is not. * Experience with workflow automation or no-code/low-code tooling. You do not need to write production code, but you can build and ship functional automation independently using tools like N8N, Zapier, Make, Claude, etc. * The disposition to write the playbook, not follow one. You are energised by blank pages, not paralysed by them. YOU ARE: * Strategically minded and operationally sharp - you can think at the systems level and still get into the details when needed. * A natural connector: between teams, between tools, between the possible and the practical. * Comfortable with influence without authority - you have no direct reports, but you move things. You know how to make people want to work with you. * Fast and pragmatic: you optimize for shipped over perfect, and you know when that is the right call. * Genuinely curious about AI - not as a buzzword, but as a set of tools that can meaningfully change how work gets done. Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Discounted gym memberships to keep you energized. * \uD83C\uDFD6️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "AI Enablement Principal at Delivery Hero. Skills: AI Enablement, Strategy, Business Partnership. Own adoption outcomes. Be the first responder", "postedDate" : "2026-06-11T16:06:49.000", "createdAt" : "2026-06-15T23:40:07.032", "lastUpdated" : "2026-06-16T09:46:28.446", "ingestTimestamp" : "2026-06-15T23:40:07.032", "mongoId" : "6a305640f292fd229cf26546", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Workflow automation", "No-code tooling", "Low-code tooling", "AI Enablement", "Strategy", "Business Partnership", "Stakeholder management", "Business operations", "Consulting", "Product management", "Programme management", "Local delivery platform", "AI tools", "N8N", "Zapier", "Make", "Claude" ], "skillCount" : 17, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2d594274d8ee00a0b89469", "title" : "Software Engineering (Working Student)", "company" : "Friendly Captcha", "industry" : "Cybersecurity", "salary" : { "min" : 24000.0, "max" : 36000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for entry-level Software Engineering internships in Germany, adjusted for the cybersecurity industry and the specific location of Wörthsee." }, "location" : "Wörthsee, DE", "locations" : [ "Wörthsee", "DE" ], "timestamp" : "2026-06-15T06:57:46.304", "fingerprint" : "c411f7128e4b14111a4f1d13e18908bbf21892e5172b46dc8efc0e498e4e1990", "source" : "personio", "language" : "en", "applyUrl" : "https://friendlycaptcha.jobs.personio.de/job/2631919", "externalId" : "2631919", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wörthsee", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.0727885,11.2005513" } ], "locationText" : "Wörthsee, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Go, TypeScript, Python, Java, Rust, C++, APIs, Databases, Terraform, OpenTelemetry, Postgres, Clickhouse, Redis", "professionalSkills" : [ "Feature Development", "Backend Development", "Data Analysis", "Testing", "Debugging", "Documentation", "Code Reviews" ], "hardSkillsList" : [ "Bot detection", "IT security" ], "hardSkills" : [ { "name" : "Bot detection", "level" : "intermediate" }, { "name" : "IT security", "level" : "intermediate" } ], "majorSkills" : "Bot protection platform, Backend development, Data analysis", "majorSkillsList" : [ "Bot protection platform", "Backend development", "Data analysis" ], "coreResponsibilities" : "Work on new features, Support API development, Support service development, Analyze large data sets, Identify bot patterns, Write tests, Assist with troubleshooting, Create technical documentation, Participate in code reviews", "teamCollaboration" : "Experienced engineering team; Direct collaboration with team; Small, focused team; Flat hierarchies", "domainKnowledge" : "Cybersecurity; Bot protection; GDPR compliance; CCPA compliance; Cloud infrastructure", "domainList" : [ "cybersecurity", "bot-protection", "gdpr-compliance", "ccpa-compliance", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Cybersecurity", "Bot protection", "GDPR compliance", "CCPA compliance", "Cloud infrastructure" ], "toolProficiency" : [ "Git", "Linux" ], "communicationSkills" : "English written; English verbal", "documentationSkills" : "Technical documentation", "continuousLearning" : "Learn from experienced developers", "innovationCreativity" : "Innovative technology", "problemSolvingSkills" : "Problem-solving oriented", "qualificationsBasic" : "Computer Science, Business Informatics, or Cybersecurity studies, Excellent English skills, Experience with at least one modern programming language, Understanding of web technologies, APIs, and databases, Self-organized, eager to learn, and problem-solving oriented", "qualificationsPreferred" : "German language skills, Experience with Go, Experience with TypeScript, Experience with SQL, Experience with Git, Experience with Linux", "workSiteFlexibility" : "Flexible", "rawDescription" : "Who we are Friendly Captcha is a cybersecurity startup from Munich, Germany. We protect over 25 million websites and apps from spam and bots – fully automated in the background, without requiring users to solve annoying tasks. Our solution is accessible and privacy-friendly in compliance with GDPR/CCPA. We were honored with the German Founders Award 2023 for our innovative technology. Your mission Feature Development: You work on new features and improvements for our bot protection platform Backend Development: You support the development of APIs and services in Go or TypeScript Data Analysis: You help analyze large data sets to identify bot patterns Testing & Debugging: You write tests and assist with troubleshooting Documentation: You create technical documentation for internal tools and processes Code Reviews: You participate in code reviews and learn from experienced developers Infrastructure: Optionally, you can work on Terraform, monitoring (OpenTelemetry), or databases (Postgres, Clickhouse, Redis) What we offer Hands-on experience in a real production environment handling millions of requests Insight into modern backend technologies and cloud infrastructure (EU-owned stack) Working with an experienced engineering team Independent projects and direct collaboration with the team Flexible work schedule Small, focused team with flat hierarchies Office in Munich-West/Wörthsee by the lake Fair compensation, MacBook, coffee, and team events Your profile Studies: Computer Science, Business Informatics, or Cybersecurity Communication: Excellent English written and verbal skills Programming: Experience with at least one modern programming language (Go, TypeScript, Python, Java, Rust, C++, etc.) Basics: Understanding of web technologies, APIs, and databases Work Style: Self-organized, eager to learn, and problem-solving oriented Nice-to-have: German language skills, experience with Go, TypeScript, SQL, Git, or Linux Bonus: Interest in data science, bot detection, or IT security Requirements Why us?", "summaryDescription" : "Software Engineering (Working Student) at Friendly Captcha. Skills: Bot protection platform, Backend development, Data analysis. Work on new features. Support API development", "createdAt" : "2026-06-14T00:13:53.153", "lastUpdated" : "2026-06-15T06:57:46.304", "ingestTimestamp" : "2026-06-14T00:13:53.153", "mongoId" : "6a2d594274d8ee00a0b89469", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Bot detection", "IT security", "Bot protection platform", "Backend development", "Data analysis", "Feature Development", "Backend Development", "Data Analysis", "Testing", "Debugging", "Documentation", "Code Reviews", "Cybersecurity", "Bot protection", "GDPR compliance", "CCPA compliance", "Cloud infrastructure", "Git", "Linux" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5f9674d8ee00a08ed226", "title" : "Gen AI Business Director", "company" : "OLIVER Agency", "salary" : { "min" : 148750.0, "max" : 166250.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "NAM", "locations" : [ "NAM" ], "timestamp" : "2026-06-14T22:39:12.860", "fingerprint" : "a6669bd06ae24036cc18fd65e1a41d1f8162e0ef3866042208bbbaef506541b7", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/oliverusa/jobs/7996911", "externalId" : "7996911", "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceLevel" : "Director", "technicalSkills" : "AI tools, Automation tools", "professionalSkills" : [ "Strategic thinking", "Commercial thinking", "Client relationship management", "Operational efficiency", "Workflow optimization", "Data-driven visibility", "Budget oversight", "Scope management", "Profitability tracking" ], "hardSkillsList" : [ "Performance expectations", "KPI performance", "SLA performance", "Capacity planning", "Quality control" ], "softSkillsList" : [ "Leadership", "Decision-making", "Mentoring", "Adaptability" ], "hardSkills" : [ { "name" : "Performance expectations", "level" : "intermediate" }, { "name" : "KPI performance", "level" : "intermediate" }, { "name" : "SLA performance", "level" : "intermediate" }, { "name" : "Capacity planning", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Decision-making" }, { "name" : "Mentoring" }, { "name" : "Adaptability" } ], "majorSkills" : "Client relationship management, Operational delivery, AI integration", "majorSkillsList" : [ "Client relationship management", "Operational delivery", "AI integration" ], "coreResponsibilities" : "Lead client relationship, Ensure delivery alignment, Meet performance expectations, Evolve with client needs, Maintain stakeholder alignment, Ensure performance transparency, Enable team delivery, Reinforce global consistency, Support continuous delivery, Balance client expectations, Balance operational realities, Guide conversations, Create clear environment, Create accountable environment, Partner with Operations Director, Partner with Studio Manager, Optimize workflows, Integrate AI, Integrate automation, Drive transformation, Own client relationships, Build trust-based partnerships, Maintain alignment, Define ways of working, Uphold ways of working, Communicate delivery status, Communicate risks, Communicate mitigation plans, Communicate optimization opportunities, Communicate growth opportunities, Guide strategic direction, Ensure business goal alignment, Ensure transformation alignment, Identify efficiency improvements, Identify scalability improvements, Identify output quality improvements, Support global delivery model evolution, Ensure regional consistency, Ensure team continuity, Maintain sight across operations, Monitor KPIs, Monitor SLA performance, Ensure data-driven visibility, Identify risks, Identify inefficiencies, Identify areas for improvement, Act as escalation point, Ensure swift resolution, Align client and internal teams, Support Account Directors, Manage client challenges, Step in for senior intervention, Support commercial health, Track budget, Track scope, Track out-of-scope negotiations, Track profitability, Ensure teams are set up, Reinforce clear role boundaries, Protect operating model integrity, Lead client-facing reporting, Lead governance forums, Ensure data accuracy, Ensure data reliability, Enable informed decision-making", "teamCollaboration" : "Cross-functional teams; Internal teams; Client-side teams", "projectManagementSkills" : [ "Project management", "Account management" ], "domainKnowledge" : "Beauty products; Dermatological products; GenAI; Automation", "domainList" : [ "beauty-products", "dermatological-products", "genai", "automation" ], "domainSpecificKnowledge" : [ "Beauty products", "Dermatological products", "GenAI", "Automation" ], "toolProficiency" : [ "Adobe Workfront", "Microsoft 365" ], "communicationSkills" : "Client reporting; Executive presentations", "continuousLearning" : "Explore new technologies; Adapt to change", "innovationCreativity" : "Spark creativity; Drive creativity", "problemSolvingSkills" : "Decision-making; Risk mitigation; Problem resolution", "outcomesObjectives" : "Meet performance expectations; Deliver at scale; Operate with clarity; Operate with accountability; Ensure consistency across regions; Support continuous delivery; Drive ongoing transformation; Improve efficiency; Improve scalability; Improve output quality; Ensure continuity across regions; Ensure model is performing effectively; Ensure data accuracy; Ensure data reliability; Enable informed decision-making", "qualificationsBasic" : "Bachelor's degree or equivalent experience, 8+ years in project and/or account management, Experience with automation and AI tools, Experience with beauty and/or dermatological products, Proficient in Adobe Workfront, Proficient in Microsoft 365, Proven experience implementing complex programs", "qualificationsPreferred" : "Tech and data-driven, Experience in client reporting, Experience in account transformation, Excellent client engagement skills, Excellent relationship-building skills, Ability to integrate with client-side teams, Maintain top-tier agency service", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. Role: Gen AI Business Director Location: New York, New York About the role: As GenAi Program Lead (Business Director), you will lead the overall client relationship and strategic direction of the account, ensuring that delivery is aligned to business objectives, consistently meets performance expectations, and evolves with the client’s needs. Operating within a structured model that separates intake, execution, and operations, you will focus on leading from the front of the business, maintaining strong stakeholder alignment, ensuring transparency across performance, and enabling the team to deliver at scale with confidence. You will play a critical role in reinforcing a globally connected, ensuring consistency across regions while supporting continuous delivery across markets and time zones. This role requires a strategic and commercially minded leader, someone who can balance client expectations with operational realities, guide conversations with authority, and create an environment where both the client and internal teams can operate with clarity and accountability. You will also partner closely with the Operations Director and Studio Manager to ensure the operating model is performing effectively, while identifying opportunities to optimize workflows, integrate AI and automation, and drive ongoing transformation across the account. What you will be doing: Act as the senior client lead across the MDC Factory, owning relationships with key stakeholders and ensuring strong, trust-based partnerships Maintain alignment between client objectives and operational delivery, ensuring priorities, expectations, and ways of working are clearly defined and upheld Provide transparency across performance, proactively communicating: Delivery status Risks and mitigation plans Opportunities for optimization and growth Set and guide the strategic direction of the content factory, ensuring alignment with broader business goals and transformation initiatives, including the integration of GenAI and automation Identify opportunities to improve efficiency, scalability, and output quality across the operation Support the evolution of a global delivery model, ensuring consistency and continuity across regions and teams Maintain a clear line of sight across all pods and operations, ensuring the model is performing effectively without being involved in day-to-day workflow management Partner with the Operations Director to: Monitor KPIs and SLA performance Ensure data-driven visibility into delivery, capacity, and quality Identify risks, inefficiencies, and areas for improvement Act as the primary escalation point for complex or high-risk issues, ensuring swift resolution and alignment across client and internal teams Support Account Directors in managing client challenges, stepping in when senior intervention is required Support the commercial health of the account, including: Budget oversight Scope management Out-of-scope negotiations Profitability tracking Partner with Studio Manager to ensure teams are set up for success by reinforcing clear role boundaries and ways of working, protecting the integrity of the operating model Lead client-facing reporting and governance forums (e. g. status reviews, QBRs), ensuring insights are: Ensure data accuracy and reliability in partnership with the Operations Director, enabling informed decision-making across the business What you need to be great in this role: Bachelor’s degree or equivalent experience. 8+ years in project and/or account management. Experience with automation and AI tools. Experience with beauty and/or dermatological products. Strong interpersonal, communication, and decision-making. Excellent organizational and attention-to-detail. Ability to manage tasks and adapt to changing deadlines. Leadership skills with financial, commercial, and strategic thinking abilities. Ability to mentor and develop junior and intermediate team members. Proven ability to manage and strengthen client relationships. Entrepreneurial mindset with a focus on efficiency and creativity. Passionate about beauty and science-driven content. Desire to explore new technologies and adapt to change. Ability to thrive under pressure in a fast-paced environment. Proficient in Adobe Workfront, Microsoft 365, and related software. Tech and data-driven, with experience in client reporting and account transformation. Proven experience implementing complex programs with multiple technologies. Excellent client engagement and relationship-building skills. Ability to integrate with client-side teams while maintaining top-tier agency service. At the time of this posting, the base salary for this position may range from $148,750.00 to $166,250.00. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. Req ID: 17890 Our values shape everything we do: Be Ambitious to succeed  Be Imaginative to push the boundaries of what’s possible  Be Inspirational to do groundbreaking work  Be always learning and listening to understand  Be Results-focused  to exceed expectations  Be actively pro-inclusive and anti-racist across our community, clients and creations  OLIVER, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.   OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.", "summaryDescription" : "Gen AI Business Director at OLIVER Agency. Skills: Client relationship management, Operational delivery, AI integration. Lead client relationship. Ensure delivery alignment", "postedDate" : "2026-06-12T22:33:52.175", "createdAt" : "2026-06-12T22:33:52.175", "lastUpdated" : "2026-06-14T22:39:12.860", "ingestTimestamp" : "2026-06-12T22:33:52.175", "mongoId" : "6a2c5f9674d8ee00a08ed226", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 148750, "salaryAnnualMax" : 166250, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance expectations", "KPI performance", "SLA performance", "Capacity planning", "Quality control", "Leadership", "Decision-making", "Mentoring", "Adaptability", "Client relationship management", "Operational delivery", "AI integration", "Strategic thinking", "Commercial thinking", "Operational efficiency", "Workflow optimization", "Data-driven visibility", "Budget oversight", "Scope management", "Profitability tracking", "Project management", "Account management", "Beauty products", "Dermatological products", "GenAI", "Automation", "Adobe Workfront", "Microsoft 365" ], "skillCount" : 28, "jobCategory" : "other", "jobSubcategory" : "client-services/account-management-", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5bac74d8ee00a06115a7", "title" : "AI Enablement Manager", "company" : "Story Cannabis", "industry" : "Cannabis", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Phoenix, Arizona, United States", "locations" : [ "Phoenix", "Arizona", "United States" ], "timestamp" : "2026-06-14T20:48:39.890", "fingerprint" : "e283122c8f688b0d292e72e3d9717feed4a9b48bddb9097a628a42a81e0318c0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/storycannabis/jobs/5251095008", "externalId" : "5251095008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "experienceLevel" : "Manager", "technicalSkills" : "AI, Large language models, LLMs, Microsoft Office", "professionalSkills" : [ "Process improvement", "Digital transformation", "Project management", "AI enablement", "Workflow optimization", "Stakeholder management" ], "hardSkillsList" : [ "Process analysis", "Process redesign" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Process analysis", "level" : "intermediate" }, { "name" : "Process redesign", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI enablement, Process improvement, Digital transformation", "majorSkillsList" : [ "AI enablement", "Process improvement", "Digital transformation" ], "coreResponsibilities" : "Drive enterprise-wide adoption of AI tools and workflows, Partner with business leaders to identify operational inefficiencies, Identify opportunities for AI integration, Develop and implement AI-driven process improvements, Enhance productivity, Reduce manual work, Act as an internal consultant to business teams, Optimize workflows, Help establish AI best practices, Promote responsible AI usage, Collaborate with cross-functional departments to translate business needs, Translate business needs into scalable AI solutions, Help manage organizational change related to AI implementation, Manage workflow transformation, Build resources, documentation, and SOPs related to AI, Build processes related to AI usage, Lead the implementation of AI tools, Lead the optimization of AI tools, Lead the implementation of AI platforms, Lead the optimization of AI platforms, Track AI initiative outcomes, Report on AI initiative outcomes, Track adoption metrics, Report on adoption metrics, Track productivity improvements, Report on productivity improvements, Track operational impact, Report on operational impact, Help ensure AI usage aligns with company policies, Ensure AI usage aligns with compliance requirements, Ensure AI usage aligns with operational goals, Maintain organized documentation related to AI initiatives, Maintain documentation related to AI workflows, Maintain documentation related to AI training materials", "teamCollaboration" : "Cross-functional departments; Business leaders", "projectManagementSkills" : [ "Project management", "Organizational skills" ], "domainKnowledge" : "Regulated industries", "domainList" : [ "regulated-industries" ], "domainSpecificKnowledge" : [ "Regulated industries" ], "toolProficiency" : [ "AI productivity platforms" ], "communicationSkills" : "Facilitation; Stakeholder management", "documentationSkills" : "Documentation; SOPs", "problemSolvingSkills" : "Problem-solving; Analytical skills", "specialRequirements" : "Prolonged periods sitting at a desk, Working on a computer", "outcomesObjectives" : "Improve efficiency; Streamline processes; Enhance decision-making; Support business growth; Enhance productivity; Reduce manual work", "qualificationsBasic" : "Bachelor's degree in Technology, AI, Machine Learning, Data Science or related field, 3+ years of experience in operations, process improvement, digital transformation, project management, AI enablement, or related business functions, Proven experience leveraging AI tools and large language models (LLMs) to automate or enhance business processes, Experience supporting enterprise-wide technology or transformation initiatives, Proven ability to analyze and redesign processes to improve efficiency, accuracy, and scalability, project management and organizational skills, Excellent communication, facilitation, and stakeholder management abilities, Ability to train and support employees with varying levels of technical proficiency, analytical and problem-solving skills, Ability to manage multiple initiatives in a fast-paced environment, Proficiency with Microsoft Office, collaboration tools, and AI productivity platforms", "qualificationsPreferred" : "Experience in highly regulated industries, including manufacturing, retail, or cannabis", "workSiteFlexibility" : "Remote", "rawDescription" : "Our Story: Story Cannabis was built by misfits on a mission — people bold enough to shift the cannabis narrative and create something better. Founded in 2021 by industry veterans, Story is a vertically integrated company headquartered in Phoenix, operating across Arizona, Maryland, Ohio, and Louisiana, and we’re just getting started. Our vision is to bring hope, happiness, and healing to the world through cannabis, and we’re doing it one state, one store, and one customer at a time. Leadership defines how we show up. Data drives how we grow. Gratitude keeps us grounded. Unity fuels our momentum. And growth, in every sense, inspires everything we do. If you’re ready to challenge what’s expected and shape the future of cannabis, your next chapter starts with Story. Overview: The AI Enablement Manager is responsible for driving the adoption, optimization, and operational integration of AI tools and workflows across the organization. This role partners cross-functionally with internal departments to identify opportunities where AI can improve efficiency, streamline processes, enhance decision-making, and support business growth. This position will serve as an internal AI champion focused on organizational enablement, workflow transformation, employee adoption, training, and continuous improvement. The ideal candidate brings experience leading operational or digital transformation initiatives and can translate business challenges into practical AI-driven solutions. Responsibilities: Drive enterprise-wide adoption of AI tools and workflows across departments. Partner with business leaders to identify operational inefficiencies and opportunities for AI integration. Develop and implement AI-driven process improvements that enhance productivity and reduce manual work. Act as an internal consultant to business teams on AI use cases and workflow optimization. Help establish AI best practices and promote responsible AI usage across the organization. Collaborate with cross-functional departments to translate business needs into scalable AI solutions. Help manage organizational change related to AI implementation and workflow transformation. Build resources, documentation, and SOPs related to AI usage and processes. Lead the implementation and optimization of AI tools and platforms. Track and report on AI initiative outcomes, adoption metrics, productivity improvements, and operational impact. Help ensure AI usage aligns with company policies, compliance requirements, and operational goals. Maintain organized documentation related to AI initiatives, workflows, and training materials. Qualifications & Requirements: Bachelor’s degree in Technology, AI, Machine Learning, Data Science or related field required. 3+ years of experience in operations, process improvement, digital transformation, project management, AI enablement, or related business functions required. Proven experience leveraging AI tools and large language models (LLMs) to automate or enhance business processes. Experience supporting enterprise-wide technology or transformation initiatives. Proven ability to analyze and redesign processes to improve efficiency, accuracy, and scalability. Strong project management and organizational skills. Experience in highly regulated industries, including manufacturing, retail, or cannabis preferred. Excellent communication, facilitation, and stakeholder management abilities. Ability to train and support employees with varying levels of technical proficiency. Strong analytical and problem-solving skills. Ability to manage multiple initiatives in a fast-paced environment. Proficiency with Microsoft Office, collaboration tools, and AI productivity platforms. Physical Requirements: This role requires prolonged periods sitting at a desk and working on a computer. The posted compensation range reflects the potential range for this role across multiple U. S. markets. Actual compensation will be determined based on geographic location, experience, and qualifications. Remote Pay Range $130,000—$150,000 USD Our Benefits: Paid time off (PTO) including 8 paid holidays per year* Medical, Dental, and Vision Insurance* 401k retirement savings plan* Company paid Short-Term & Long-Term disability* Company paid Life Insurance* Employee Assistance Program (EAP) Employee referral program Commuter benefits* Product discounts Additional compensation incentives (tips, bonuses, etc.) *For full-time positions only We want our story to be one that fosters an inclusive culture and provides an enriching employee experience. As an equal-opportunity employer, we embrace individuals from all backgrounds, experiences, abilities, and perspectives. We believe in providing equal opportunities to all individuals, including those who may have encountered legal issues related to previous marijuana laws. We understand that these laws have disproportionately impacted certain communities and individuals. We are committed to considering all candidates based on their qualifications, skills, and potential to contribute to our team, rather than focusing solely on past legal encounters. We encourage individuals from diverse backgrounds, including those with past involvement with the legal system, to apply for positions within our organization.", "summaryDescription" : "AI Enablement Manager at Story Cannabis. Skills: AI enablement, Process improvement, Digital transformation. Drive enterprise-wide adoption of AI tools and workflows. Partner with business leaders to identify operational inefficiencies", "postedDate" : "2026-06-11T17:59:15.320", "createdAt" : "2026-06-11T17:59:15.320", "lastUpdated" : "2026-06-14T20:48:39.890", "ingestTimestamp" : "2026-06-11T17:59:15.320", "mongoId" : "6a2a5bac74d8ee00a06115a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Process analysis", "Process redesign", "Leadership", "AI enablement", "Process improvement", "Digital transformation", "Project management", "Workflow optimization", "Stakeholder management", "Organizational skills", "Regulated industries", "AI productivity platforms" ], "skillCount" : 12, "jobCategory" : "finance", "jobSubcategory" : "finance-&-accounting", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cannabis" }, { "id" : "6a1737fc58b93c861ed1dafd", "title" : "AI Enablement & Adoption Consultant", "company" : "Netrix Global", "industry" : "Technology", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI Enablement & Adoption Consultant in the Technology industry in the United States, adjusted for company size and remote work." }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T06:55:45.150", "fingerprint" : "5fef0416ce70ac351c22e9e4711f187a2b47168bdf3d6c3a420fab3915cc1abe", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://netrix-global.breezy.hr/p/e5a236ae30d5-ai-enablement-adoption-consultant", "externalId" : "e5a236ae30d5", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "coreResponsibilities" : "Support Microsoft Copilot workshops, Support enablement engagements, Support user adoption programs", "remoteFriendly" : true, "rawDescription" : "About The Opportunity Netrix Global seeking a highly client-facing Microsoft Copilot Enablement & Adoption Consultant who can immediately support the growing demand for Microsoft Copilot workshops, enablement engagements, and user adoption programs. This role is designed for someone who is eq", "summaryDescription" : "AI Enablement & Adoption Consultant at Netrix Global. Support Microsoft Copilot workshops. Support enablement engagements", "createdAt" : "2026-06-13T23:31:36.463", "lastUpdated" : "2026-06-15T06:55:45.150", "ingestTimestamp" : "2026-06-13T23:31:36.463", "mongoId" : "6a1737fc58b93c861ed1dafd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 } ], "status" : 200, "message" : "convert fuzzy business requirements into working ai enabled workflows jobs", "metadata" : { "title" : "convert fuzzy business requirements into working ai enabled workflows" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 34598, "totalPages" : 692, "hasNext" : true, "hasPrevious" : false } }

Remote Convert Fuzzy Business Requirements Into Working Ai Enabled Workflows Jobs

Top Skills

AI-Enabled Data Engineer

Working Student - Business Analyst

Working Student - Business Affairs

Senior Product Operations Manager (AI Workflows)

AI-Enabled Full Stack Developer

Working student Requirements Engineering for CDCC2. 0 Baselayer Software Development

AI-Enabled People Operations Intern

AI Workflow Specialist

AI Workflow Associate

Strategic Account Manager, Workflows

Product Manager, New Products (0 → 1, AI-Enabled)

AI Workflow Engineer

Working Student - Business Development (all genders)

Working student

AI Prompt & Workflow Designer

Working student

Step into the Hexa ecosystem

Senior Cybersecurity Architect, Agentic SOC Modernization & AI-Enabled Security Operations

Requirements/Documentation Analyst

AI Enablement Director

AI Enablement Director

AI Business Partner

Senior Engineering Manager, Workflows (FedRamp)

Commercial Working Student

Language Enabled OSINT Collector

Internship – Nuclear Insights into Ocean Alkalinity

Working Student

Linguist - Chinese into English (Medical)

Senior Software Engineer - PA111 - Workflows

Requirements Engineer

Associate Staff Engineer (Python + Agentic Workflows)

Working Student AI Full Stack Engineer (m/f/d)

Talent Acquisition - Working Student

Manager, Benefit Design & Requirements

AI Technical Enablement Lead

Senior AI Enablement Engineer

LNDS - 093 - Operations Automation Intern (Internal Services) AI‑Enabled Automation Project

Growth & AI Enablement Analyst

Content Creator Working Student

Working Student, Onboarding Specialist

Working Student B2B Marketing

AI Automation & Enablement Specialist

AI Enablement Engineer

Working Student - Creative Operations

AI Business Operations Intern

AI Enablement Principal

Software Engineering (Working Student)

Gen AI Business Director

AI Enablement Manager

AI Enablement & Adoption Consultant

Related Searches

All Convert Fuzzy Business Requirements Into Working Ai Enabled Workflows Jobs by City

More Remote Jobs

Common Questions