{ "count" : 42702, "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, "_score" : 924.77136, "hasLocation" : true, "hasGeo" : false, "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 855.2509, "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. 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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, "_score" : 853.41125, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.97 }, { "id" : "6a306fa2f292fd229cfeb307", "title" : "Construction Surveillance Technician", "company" : "SMX", "salary" : { "min" : 25.0, "max" : 38.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hollywood, Maryland, United States", "locations" : [ "Hollywood", "Maryland", "United States" ], "timestamp" : "2026-06-16T10:09:07.186", "fingerprint" : "804741ac577577fa6a8141a70035fa75b111617f959fb9e443202c4bc613427f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smxtech.com/careers/?gh_jid=7767217003", "externalId" : "7767217003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "coreResponsibilities" : "Perform surveillance duties, Monitor construction site activities, Document observations and incidents, Report findings to management, Ensure compliance with safety regulations, Maintain surveillance logs, Operate surveillance equipment", "domainKnowledge" : "Construction site safety", "domainList" : [ "construction-site-safety" ], "domainSpecificKnowledge" : [ "Construction site safety" ], "communicationSkills" : "Report writing", "documentationSkills" : "Maintain logs", "qualificationsBasic" : "3+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "SMX is searching for a strong Construction Surveillance Technician to support our government client and to lead a team that will be responsible for the maintenance and management of all Marine Corps office spaces in the Pentagon and the Arlington Service Center (ASC). This position is based at the Pentagon in Washington, DC. Within AR, the Security Programs and Information Management Branch (ARS), is responsible for providing access control requirements and security guidance for renovations and new construction. The Construction Surveillance Technician will be responsible for the following: Inspecting all construction materials, packages, bags, boxes, crates, and vehicles using x-ray equipment and other technical inspection tools. Perform visual inspections of all work performed by uncleared personnel for anomalies and to identify the introduction of clandestine technical devices. Reviewing construction drawings to ensure all construction performed is in accordance with approved drawings and specifications. Conducting risk analysis to determine the level of surveillance coverage and types of inspection required throughout the construction life cycle. Preventing and/or taking note of any changes in construction that could potentially mask an ulterior purpose. Perform security escort and access control related duties as assigned. Assess industrial or government security requirements. Assess static security techniques and procedures. Understand and put into practice the interpretation of blueprints and technical specifications. Understand and put into practice construction security surveillance techniques. Understand and put into practice vehicle search techniques. Understand and put into practice personnel search techniques. Assess security practices/procedures for various levels of security. Produce written reports of attempts to gain unauthorized access. Assess construction terminology, procedures and practices. Assess methods used to emplace technical penetrations or unauthorized materials. Understand technical security devices, systems, and other monitoring devices. Report suspicious behavior Required Skills and Experience: Clearance Required: Top Secret Minimum of at least 3 years’ experience in one of the following areas: Construction security surveillance Technical Surveillance Countermeasures Industrial or Government security involving counterintelligence, construction quality assurance, or hands on supervisory construction experience Must have a working knowledge of construction safety Must be able and willing to work outdoors in inclement conditions Must have the ability to stand/walk for extended periods of time Must be able to work independently in a detail-oriented environment Must be self-motivated and interested in continuing his/her education in the standard practices and procedures of the CSS industry Desired Qualifications: Construction Surveillance Technician Certification is strongly desired Application Deadline: 6/29/2026 #cjpost #LI-Onsite The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $25—$38 USD At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i. e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).", "summaryDescription" : "Construction Surveillance Technician at SMX. Perform surveillance duties. Monitor construction site activities", "postedDate" : "2026-06-16T01:15:54.489", "createdAt" : "2026-06-16T01:15:54.489", "lastUpdated" : "2026-06-16T10:09:07.186", "ingestTimestamp" : "2026-06-16T01:15:54.489", "mongoId" : "6a306fa2f292fd229cfeb307", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 38, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Construction site safety" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 813.7822, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3071a5f292fd229cffa1ca", "title" : "Junior Surveillance Officer", "company" : "Natixis", "industry" : "Banking", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Junior Surveillance Officer in Porto, Portugal, adjusted for the banking industry and entry-level experience." }, "location" : "Porto, Porto, PT", "locations" : [ "Porto", "Porto", "PT" ], "timestamp" : "2026-06-16T12:00:39.933", "fingerprint" : "305016d137e225bacc45049aa3bdb9ce63885be9c7a0842a0c2bd0e4dd0cbaba", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NatixisInPortugal/744000132208840-junior-surveillance-officer-ecomm-sg-", "externalId" : "744000132208840", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Porto", "state" : "Porto", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.1502195,-8.6103497" } ], "locationText" : "Porto, Porto, Portugal", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "MS Excel, Power BI", "professionalSkills" : [ "Analytical skills", "Risk management", "Compliance frameworks" ], "hardSkillsList" : [ "Data manipulation", "Data presentation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data presentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Surveillance, Compliance, Risk", "majorSkillsList" : [ "Surveillance", "Compliance", "Risk" ], "coreResponsibilities" : "Conduct daily surveillance of electronic and voice communications, Ensure compliance with rules, regulations, and firm policies, Perform research and investigations to identify potential violations, Document research results, Escalate violations and/or suspicious activity, Identify, analyze, investigate, and resolve issues, Work on ad-hoc Surveillance Projects, Provide training and mentorship to junior staff", "teamCollaboration" : "Work with Business Lines; Work with Advisory; Work with other departments", "domainKnowledge" : "Financial markets; Financial products; Stocks; Bonds; Equity derivatives; Credit derivatives", "domainList" : [ "financial-markets", "financial-products", "stocks", "bonds", "equity-derivatives", "credit-derivatives" ], "domainSpecificKnowledge" : [ "Financial markets", "Financial products", "Stocks", "Bonds", "Equity derivatives", "Credit derivatives" ], "toolProficiency" : [ "MS Excel", "Power BI" ], "documentationSkills" : "Document research results", "problemSolvingSkills" : "Identify key facts from information; Analyze issues; Investigate issues; Resolve issues", "qualificationsBasic" : "Fluency in English, Work or education experience in regulatory, audit, compliance, risk, surveillance, or equivalent, Knowledge/experience with financial markets and an array of financial products (including stocks, bonds, equity/credit derivatives), Minimum of a Bachelor degree or equivalent work experience, Advanced MS Excel", "qualificationsPreferred" : "Good level on French, Bachelor degree in Finance, Business and Economics", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas — Corporate & Investment Banking and Asset & Wealth Management — as well as transversal services that support all entities across the Group. With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group. A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem. Job Description * Conduct daily surveillance of electronic and voice communications to ensure compliance with appropriate rules, regulations, and firm policies * Perform research and investigations to identify the reason for potential violations * Document research results and escalate violations and/or suspicious activity according to firm policy and regulatory requirements * Work with members of the firm’s Business Lines, Advisory and other departments, to identify, analyze, investigate, and resolve issues * Work on ad-hoc Surveillance Projects as needed, such as new tool implementation * Provide training and mentorship to junior staff, assisting them in their daily tasks. ## Qualifications We are looking for someone with strong analytical skills, who can identify key facts from a large amount of information. You should understand the importance of compliance/risk management frameworks and testing programs, even if you do not have experience working directly in that area. You ideally have: * Fluency in English (mandatory) * Good level on French (Preference) * Work or education experience in regulatory, audit, compliance, risk, surveillance, or equivalent * Knowledge/experience with financial markets and an array of financial products (including stocks, bonds, equity/credit derivatives) * Minimum of a Bachelor degree (prefer in Finance, Business and Economics) or equivalent work experience * Ability to multi-task effectively and handle change well * Advanced MS Excel (pivot tables, experience with large data sets, proficient in data manipulation and presentation) * Advanced Power BI or other Visualization tools ## Additional Information Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are committed to being inclusive, caring, and fair, ensuring every voice is heard and valued.", "summaryDescription" : "Junior Surveillance Officer at Natixis. Skills: Surveillance, Compliance, Risk. Conduct daily surveillance of electronic and voice communications. Ensure compliance with rules, regulations, and firm policies", "postedDate" : "2026-06-15T14:07:02.000", "createdAt" : "2026-06-16T01:38:07.149", "lastUpdated" : "2026-06-16T12:00:39.933", "ingestTimestamp" : "2026-06-16T01:38:07.149", "mongoId" : "6a3071a5f292fd229cffa1ca", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data manipulation", "Data presentation", "Mentoring", "Surveillance", "Compliance", "Risk", "Analytical skills", "Risk management", "Compliance frameworks", "Financial markets", "Financial products", "Stocks", "Bonds", "Equity derivatives", "Credit derivatives", "MS Excel", "Power BI" ], "skillCount" : 17, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 799.6244, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3060ddf292fd229cf94059", "title" : "Junior Surveillance Officer", "company" : "Natixis in Portugal", "industry" : "Banking", "salary" : { "min" : 24000.0, "max" : 32000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Surveillance Officer in Porto, Portugal, adjusted for entry-level experience and the banking industry." }, "location" : "Porto, Porto, PT", "locations" : [ "Porto", "Porto", "PT" ], "timestamp" : "2026-06-16T08:12:47.684", "fingerprint" : "5c05ec490037cc942ca298af88df50d1f56188f06defba84077e6b7d1edb5f2a", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NatixisInPortugal/744000132208840-junior-surveillance-officer-ecomm-sg-", "externalId" : "744000132208840", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Porto", "state" : "Porto", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.1502195,-8.6103497" } ], "locationText" : "Porto, Porto, Portugal", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "MS Excel, Power BI", "professionalSkills" : [ "Analytical skills", "Risk management", "Compliance frameworks", "Data manipulation", "Data presentation" ], "hardSkillsList" : [ "Financial markets", "Financial products", "Equity derivatives", "Credit derivatives" ], "hardSkills" : [ { "name" : "Financial markets", "level" : "intermediate" }, { "name" : "Financial products", "level" : "intermediate" }, { "name" : "Equity derivatives", "level" : "intermediate" }, { "name" : "Credit derivatives", "level" : "intermediate" } ], "majorSkills" : "Surveillance, Compliance, Risk management", "majorSkillsList" : [ "Surveillance", "Compliance", "Risk management" ], "coreResponsibilities" : "Conduct daily surveillance, Ensure compliance with rules, Perform research and investigations, Identify reason for violations, Document research results, Escalate violations, Escalate suspicious activity, Work with Business Lines, Work with Advisory, Work with other departments, Identify issues, Analyze issues, Investigate issues, Resolve issues, Work on Surveillance Projects, Implement new tools, Provide training, Provide mentorship, Assist junior staff", "teamCollaboration" : "Work with Business Lines; Work with Advisory; Work with other departments", "domainKnowledge" : "Financial markets; Financial products; Equity derivatives; Credit derivatives; Regulatory frameworks; Risk management frameworks; Compliance frameworks", "domainList" : [ "financial-markets", "financial-products", "equity-derivatives", "credit-derivatives", "regulatory-frameworks", "risk-management-frameworks", "compliance-frameworks" ], "domainSpecificKnowledge" : [ "Financial markets", "Financial products", "Equity derivatives", "Credit derivatives", "Regulatory frameworks", "Risk management frameworks", "Compliance frameworks" ], "toolProficiency" : [ "MS Excel", "Power BI" ], "documentationSkills" : "Document research results", "problemSolvingSkills" : "Analytical skills; Identify key facts; Research; Investigations", "qualificationsBasic" : "Fluency in English, Bachelor degree or equivalent work experience, Advanced MS Excel, Advanced Power BI", "qualificationsPreferred" : "Good level on French, Degree in Finance, Business and Economics, Experience in regulatory, audit, compliance, risk, surveillance", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Natixis in Portugal is a Centre of Expertise whose mission is to transform traditional banking by developing innovative solutions for the business, operations and work culture of Groupe BPCE worldwide. As part of Groupe BPCE’s international division, Natixis in Portugal designs and delivers solutions for its two core areas — Corporate & Investment Banking and Asset & Wealth Management — as well as transversal services that support all entities across the Group. With more than 3,000 employees representing 46 nationalities, the teams work across Information Technology, Banking Support Activities, and Compliance, in an integrated, inclusive, and cross-functional way, supporting all business lines and platforms of the Group. A disruptive mindset and a culture of proximity and agility identify Natixis in Portugal Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem. Job Description * Conduct daily surveillance of electronic and voice communications to ensure compliance with appropriate rules, regulations, and firm policies * Perform research and investigations to identify the reason for potential violations * Document research results and escalate violations and/or suspicious activity according to firm policy and regulatory requirements * Work with members of the firm’s Business Lines, Advisory and other departments, to identify, analyze, investigate, and resolve issues * Work on ad-hoc Surveillance Projects as needed, such as new tool implementation * Provide training and mentorship to junior staff, assisting them in their daily tasks. ## Qualifications We are looking for someone with strong analytical skills, who can identify key facts from a large amount of information. You should understand the importance of compliance/risk management frameworks and testing programs, even if you do not have experience working directly in that area. You ideally have: * Fluency in English (mandatory) * Good level on French (Preference) * Work or education experience in regulatory, audit, compliance, risk, surveillance, or equivalent * Knowledge/experience with financial markets and an array of financial products (including stocks, bonds, equity/credit derivatives) * Minimum of a Bachelor degree (prefer in Finance, Business and Economics) or equivalent work experience * Ability to multi-task effectively and handle change well * Advanced MS Excel (pivot tables, experience with large data sets, proficient in data manipulation and presentation) * Advanced Power BI or other Visualization tools ## Additional Information Our workplace reflects the vibrant spirit of our locations, with initiatives such as a Green Transportation Budget, electric bikes and a flexible Hybrid Work Policy. We promote wellbeing through the Honolulu Wellness Club, a Prayer Room, a Lactation Room, and themed Villages that inspire creativity and collaboration. Through our ESG and DEI strategies, we are committed to being inclusive, caring, and fair, ensuring every voice is heard and valued.", "summaryDescription" : "Junior Surveillance Officer at Natixis in Portugal. Skills: Surveillance, Compliance, Risk management. Conduct daily surveillance. 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Turbine OEM engagement; EPC engagement; Internal engineering teams", "projectManagementSkills" : [ "Execution schedule" ], "domainKnowledge" : "Thermal energy storage; Heat-to-power; Combined heat and power; Industrial operations; Data centers; Steam turbine systems; Adjacent cycles; sCO₂ cycles; Brayton cycles; Cycle conditions; Heat rejection architecture; Extraction strategy; Regeneration strategy; Startup behavior; Transient behavior; Cycling operation; Baseload operation; Thermal energy storage applications; High-temperature systems; Energy conversion; Power plant operations; Industrial process systems", "domainList" : [ "thermal-energy-storage", "heat-to-power", "combined-heat-and-power", "industrial-operations", "data-centers", "steam-turbine-systems", "adjacent-cycles", "sco-cycles", "brayton-cycles", "cycle-conditions", "heat-rejection-architecture", "extraction-strategy", "regeneration-strategy", "startup-behavior", "transient-behavior", "cycling-operation", "baseload-operation", "thermal-energy-storage-applications", "high-temperature-systems", "energy-conversion", "power-plant-operations", "industrial-process-systems" ], "domainSpecificKnowledge" : [ "Thermal energy storage", "Heat-to-power", "Combined heat and power", "Industrial operations", "Data centers", "Steam turbine systems", "Adjacent cycles", "sCO₂ cycles", "Brayton cycles", "Cycle conditions", "Heat rejection architecture", "Extraction strategy", "Regeneration strategy", "Startup behavior", "Transient behavior", "Cycling operation", "Baseload operation", "Thermal energy storage applications", "High-temperature systems", "Energy conversion", "Power plant operations", "Industrial process systems" ], "toolProficiency" : [ "Thermoflow", "STEAM PRO", "PEACE", "Ebsilon", "IPSEpro", "Python", "MATLAB", "ChemCAD", "HYSYS" ], "communicationSkills" : "Technical documentation; Bid evaluations; Alignment across stakeholders", "innovationCreativity" : "AI-enabled tools and workflows", "problemSolvingSkills" : "Critical thinking; Problem-solving; First-principles perspective", "outcomesObjectives" : "Meet Antora’s technical objectives; Meet Antora’s commercial objectives; Improve engineering work", "qualificationsBasic" : "Bachelor's degree or equivalent experience in mechanical, electrical, chemical, systems engineering, or related technical field, 8+ years of professional experience in steam turbine systems design, architecture, integration, or major energy project execution, Proven ability to operate across multiple engineering disciplines, Hands-on cycle modeling experience with Thermoflow, STEAM PRO, PEACE, Ebsilon, IPSEpro, or equivalent tools, Demonstrated experience leading technical interfaces with turbine OEMs, EPCs, or major equipment suppliers, Interest in using AI tools to improve engineering workflows, Critical thinking and problem-solving skills, Experience working in a fast-paced, team-oriented environment with shifting priorities and high technical ambiguity", "qualificationsPreferred" : "Advanced degree in a related engineering field, Experience with concentrated solar power technology, Experience with thermal cycles, Experience with heat transfer oils, Experience with molten salt systems, Experience with high-temperature thermal systems, Experience with energy conversion, Experience with power plant operations, Experience with industrial process systems, Experience with equipment, instrumentation, and controls, Familiarity with simulation and modeling tools, Professional Engineer license", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Antora builds and deploys thermal energy storage to power always-on industrial operations and data centers with low-cost energy. Factory-built in California, Antora’s thermal batteries deliver reliable and cost-effective heat and power for industrial loads of any size. Antora is electrifying global industry while supporting U. S. manufacturing jobs, lowering costs for energy consumers, and enhancing the competitiveness of American industry. We are growing our company with people who put team and mission first, value connection through laughter and joy, and build with humility and openness. We are committed to continue building a diverse, passionate, and creative team dedicated to a future where every industrial facility, everywhere on earth, is powered by abundant, clean, low-cost energy. About The Role Antora Energy is building thermal energy storage plants that deliver zero-carbon industrial heat and power at scale. We are looking for a Senior / Staff Turbomachinery Systems Engineer to lead the definition, integration, and execution of the power island across our heat-to-power and combined heat and power projects. As a key member of Antora’s engineering team, you will own steam turbine system architecture for heat-to-power and CHP applications, making cross-functional trade-off decisions across thermal, mechanical, process, electrical, and controls systems. Your work will directly influence plant cost, performance, reliability, operability, and execution risk. You will work closely with EPC partners, turbine OEMs, and internal engineering teams to translate project requirements into executable designs that meet Antora’s technical and commercial objectives. This role will shape projects from early concept development through execution, commissioning, operations, and future fleet optimization. We are also looking for someone who is excited to improve how engineering work gets done. You will help identify and apply AI-enabled tools and workflows to accelerate analysis, streamline technical evaluations, and increase team leverage across design, execution, and operations. What You'll Do System Definition Lead steam turbine system definition, sizing, and trade studies for steam turbine islands and adjacent cycles, including sCO₂ and Brayton cycles where applicable. Balance thermal performance, capital cost, operability, execution schedule, and long-term reliability. Influence plant-level decisions related to cycle conditions, heat rejection architecture, extraction and regeneration strategy, startup and transient behavior, and cycling versus baseload operation in thermal energy storage applications. System Integration Drive cross-discipline integration across thermal, mechanical, process, electrical, and controls scope, from heat source interface through generator terminals and balance-of-plant tie-ins. Third-Party Interfaces Serve as the technical lead for turbine OEM and EPC engagement, including RFP development, bid evaluation, technical clarifications, design reviews, and contract negotiation support. Ensure technical decisions support project economics and customer commitments. AI-Enabled Engineering Workflows Identify and implement AI tools and workflows that improve engineering productivity, technical rigor, and team execution. Examples may include accelerating trade study development, improving requirements traceability, summarizing technical documentation, supporting bid evaluations, and streamlining recurring analysis and reporting. Field Support Support commissioning, performance testing, troubleshooting, and early operations for first-of-a-kind plant startups. Translate field learnings into design improvements for future projects and fleet deployment. What We're Looking For Bachelor’s degree or equivalent experience in mechanical, electrical, chemical, systems engineering, or a related technical field. 8+ years of professional experience in steam turbine systems design, architecture, integration, or major energy project execution. Proven ability to operate across multiple engineering disciplines, including mechanical, electrical, thermal, fluids, and controls. Hands-on cycle modeling experience with Thermoflow, STEAM PRO, PEACE, Ebsilon, IPSEpro, or equivalent tools, including off-design and part-load analysis. Demonstrated experience leading technical interfaces with turbine OEMs, EPCs, or major equipment suppliers. Strong interest in using AI tools to improve engineering workflows, increase productivity, and strengthen technical decision-making. Strong critical thinking and problem-solving skills, with the ability to investigate complex issues from a first-principles perspective. Experience working in a fast-paced, team-oriented environment with shifting priorities and high technical ambiguity. Strong communication skills, with the ability to drive alignment across cross-functional stakeholders. Bonus Qualifications Advanced degree, such as an MS or PhD, in a related engineering field. Experience with concentrated solar power technology, thermal cycles, heat transfer oils, or molten salt systems. Experience with high-temperature thermal systems, energy conversion, and power plant operations. Experience with industrial process systems, equipment, instrumentation, and controls. Familiarity with simulation and modeling tools such as Python, MATLAB, ChemCAD, HYSYS, or equivalent. Professional Engineer license. Work Location: Onsite in San Jose, CA Salary Range: $154-200k USD Salary Basis: Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements. In addition to a competitive base salary, Antora Energy’s Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid-time-off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off. When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.", "summaryDescription" : "Senior / Staff Turbomachinery Systems Engineer at Antora Energy. 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In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. Your Impact on Our Mission At Zocdoc, we're on a mission to give power to the patient -- and that starts with enabling our engineering teams to build and ship software safely, efficiently, and with confidence. As a Staff Platform Engineer, you will design, build, and improve the foundational systems, tooling, and paved roads that create leverage across our engineering organization; accelerating delivery while improving reliability, consistency, and developer experience. This role sits within the Infrastructure organization. You will collaborate across the business to turn platform strategy into practical, adoptable solutions. The role emphasizes hands-on technical leadership with meaningful input into platform direction, with the goal of reducing friction across the development lifecycle and enabling teams to focus on improving healthcare access rather than infrastructure scaffolding. You will play a key role in how developers at Zocdoc build, test, and deploy software. You'll do this through agentic AI, self-service capabilities, composable platform patterns, and opinionated but flexible paved roads. Your work will abstract operational complexity, improve testability and safety, and streamline the developer journey across frontend, backend, and mobile surfaces. You'll Enjoy This Role If You... Enjoy building platforms that enable productivity, consistency, and autonomy Are motivated by making other engineers more effective, not just shipping your own features Like designing cohesive developer experiences that teams actually want to adopt Care deeply about developer empathy, usability, and reducing cognitive load Prefer solving real problems through thoughtful design, iteration, and collaboration Are comfortable influencing peers and adjacent teams through clear communication and working code Find satisfaction in building systems that scale predictably and help other engineers succeed Enjoy learning and teaching others about leveraging AI-based technologies to achieve real-world results Your Day to Day Design and build platform services and solutions that are secure, scalable, and intentionally easy to use -- including CI/CD pipelines, developer tooling, and shared infrastructure patterns Contribute to the technical direction of Zocdoc's internal developer platform, including paved roads, tooling, and shared workflows Collaborate across teams to understand real developer pain points, validate platform bets, and drive adoption of platform capabilities Own and deliver high-impact platform investments end to end -- from problem framing through implementation and rollout Improve measurable developer outcomes such as build times, deployment safety, feedback loops, and operational simplicity Champion platform-as-product thinking by treating internal engineers as users and continuously refining the developer experience based on their feedback Advance platform capabilities in AI-assisted development, helping shape how engineers use AI in their daily workflows with the right guardrails for safety, quality, and testability Mentor engineers and technologies across the business and raise the bar for technical design and code quality Ensure platform patterns align with security, compliance, and reliability expectations without becoming a bottleneck You'll Be Successful in This Role If You... Have 7+ years of experience building or evolving internal developer platforms, productivity tooling, or CI/CD systems used by multiple teams Have designed and operated distributed systems in AWS or similar cloud environments Bring strong judgment around platform abstractions and APIs; knowing when to standardize and when to stay flexible Can take ambiguous problems, break them into deliverable pieces, and drive them to measurable outcomes Communicate technical trade-offs clearly and build consensus with peers and stakeholders Treat adoption as a first-class engineering problem, not an afterthought Are motivated by enabling other engineers to build reliable, scalable, and secure systems with confidence Value learning, curiosity, and operational excellence, and model those qualities for the team Strategy vs. Execution Split ~20% Strategy and Influence (contributing to platform direction, participating in cross-team alignment, surfacing trade-offs and priorities) ~80% Hands-On Technical Leadership (designing and building platform capabilities, reviewing architecture and code, partnering with teams on adoption and iteration) Benefits: Flexible work environment for those based in NYC (Role is open to remote) Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) 401(k) with employer funded match Corporate wellness program with Wellhub Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate’s experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details. NYC Base Salary Range $210,000—$270,000 USD About us Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc’s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world’s leading investors, and we believe we’re still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We’re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws. Job Applicant Privacy Notice", "summaryDescription" : "Staff Platform Engineer, AI Enablement at Zocdoc. Skills: Platform engineering, AI enablement, Cloud infrastructure. Design and build scalable infrastructure. Develop and maintain CI/CD pipelines", "postedDate" : "2026-06-16T01:17:16.656", "createdAt" : "2026-06-16T01:17:16.656", "lastUpdated" : "2026-06-16T12:13:28.509", "ingestTimestamp" : "2026-06-16T01:17:16.656", "mongoId" : "6a307727f292fd229c022d75", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Scalability", "Reliability", "Performance tuning", "Platform engineering", "AI enablement", "Cloud infrastructure", "System design", "Architecture design", "API design", "Agile methodologies", "AI/ML platforms", "Cloud-native architecture", "Kubernetes", "Docker", "AWS", "GCP", "Terraform", "Prometheus", "Grafana", "GitLab CI", "Jenkins" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 721.342, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305ff5f292fd229cf8384e", "title" : "Partner AI Enablement Manager, GTM", "company" : "Cresta", "industry" : "SaaS", "salary" : { "min" : 160000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US (Remote)", "locations" : [ "US (Remote)" ], "timestamp" : "2026-06-16T07:57:09.263", "fingerprint" : "4ed22fcbad5478131cbc807d839c407642a08dad2e34f1e8330775131151fb09", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cresta/jobs/5257037008", "externalId" : "5257037008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI Agents", "professionalSkills" : [ "Solutions Engineering", "Partner Engineering", "Customer Success", "Technical guidance", "Business requirements", "Technical solutions", "Cross-functional collaboration" ], "hardSkillsList" : [ "Platform expertise" ], "hardSkills" : [ { "name" : "Platform expertise", "level" : "intermediate" } ], "majorSkills" : "AI Agent enablement, Partner ecosystem, GTM strategy", "majorSkillsList" : [ "AI Agent enablement", "Partner ecosystem", "GTM strategy" ], "coreResponsibilities" : "Build AI Agent partner ecosystem, Drive revenue and customer outcomes, Equip partners with tools and skills, Position, sell, and deliver Cresta AI Agents, Design and deliver enablement programs, Accelerate partner ramp, Reinforce Cresta's value, Execute high-quality customer engagements, Enable partners supporting Enterprise and Strategic customers, Design and deliver structured onboarding programs, Ramp new partners on Cresta's product, Develop deep expertise in Cresta AI Agents, Create comprehensive enablement programs, Implement and support customer deployments, Deliver scalable partner readiness programs, Deliver accreditation programs, Support broader partner objectives, Drive measurable outcomes, Track and report on partner readiness, Track certification attainment, Track partner engagement, Track contribution to pipeline, Use data to improve programs, Improve content and delivery methods, Measure training effectiveness, Ensure messaging alignment, Articulate Cresta's differentiated value, Translate technical capabilities into enablement programs, Develop partner-specific enablement assets, Serve as AI Agent subject matter expert, Identify customer use cases, Position solutions, Validate requirements, Navigate complex enterprise engagements", "teamCollaboration" : "Partner Leadership; Sales; Marketing; Product; Engineering teams; Partner Sales teams; Partnerships team", "domainKnowledge" : "AI Agents; Contact Center; SaaS; Enterprise technology", "domainList" : [ "ai-agents", "contact-center", "saas", "enterprise-technology" ], "domainSpecificKnowledge" : [ "AI Agents", "Contact Center", "SaaS", "Enterprise technology" ], "communicationSkills" : "Explain complex technical concepts", "outcomesObjectives" : "Partners onboard faster; Partners better equipped; Partners confidently position and execute", "qualificationsBasic" : "6+ years of experience in Solutions Engineering, Partner Engineering, Customer Success, or similar roles, 5+ years of experience working in the Contact Center space, Experience working with ISV, SI, and BPO partners in SaaS or enterprise technology environments, Ability to translate business requirements into technical solutions, Proven ability to work cross-functionally with Sales, Product, and Engineering teams", "qualificationsPreferred" : "Desire to be a platform expert, Provide technical guidance", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: As the Partner AI Enablement Manager, GTM, you’ll be responsible for building a world-class AI Agent partner ecosystem that drives revenue and successful customer outcomes by equipping our partners with the tools, skills, and confidence needed to position, sell, and deliver Cresta AI Agents effectively. You’ll work closely with Partner Leadership, Sales, Marketing, Product, and Engineering teams to design and deliver enablement programs that accelerate partner ramp, reinforce Cresta’s value throughout the partner motion, and ensure partners are set up to consistently execute high-quality customer engagements. Your focus will be on enabling partners that support Cresta’s Enterprise and Strategic customers, including global SIs, BPOs, and technology partners (ISVs) working with the world’s largest contact centers. The ideal candidate brings expertise in both live facilitation (virtual and in-person) and scalable self-service enablement delivered through modern learning platforms. Success in this role means partners onboard faster and are better equipped to confidently position and execute with Cresta. By partnering closely with Product and Engineering, you will ensure partners stay aligned with evolving AI Agent capabilities and are equipped to confidently position, implement, and scale Cresta solutions. Key Responsibilities Partner Onboarding and Enablement Design and deliver structured onboarding programs and content that quickly ramp new partners on Cresta’s product, value proposition, ideal use cases, and joint sales motions. Develop deep expertise in Cresta AI Agents and create comprehensive enablement programs that help partners confidently position, implement, and support customer deployments. Deliver scalable partner readiness and accreditation programs through live workshops, certifications, self-service learning, and practitioner enablement. Work closely with Partner Leadership to ensure enablement programs support broader partner objectives, drive measurable outcomes, and reinforce Cresta's GTM strategy. Enablement Measurement and Optimization Track and report on partner readiness, certification attainment, partner engagement, and contribution to partner-sourced and partner-influenced pipeline. Use data and direct feedback from internal stakeholders and partners to continuously improve programs, content, and delivery methods. Partner with internal teams to measure training effectiveness and ensure ongoing messaging alignment. Ensure partners can clearly articulate and execute on Cresta’s differentiated value within the AI Agent space and industry contexts. Cross-Functional Alignment and Collaboration Collaborate closely with Engineering and Product teams to develop deep expertise in Cresta AI Agents and translate technical capabilities into scalable, self-service enablement programs and assets for partners. Work with the Partner Leadership and Partner Sales teams to develop partner-specific enablement assets from existing direct sales materials, including pitch decks, talk tracks, objection handling, competitive guidance, and persona-based messaging. Support the Partnerships team by serving as an AI Agent subject matter expert, helping identify customer use cases, position solutions, validate requirements, and navigate complex enterprise engagements. Qualifications We Value: 6+ years of experience in Solutions Engineering, Partner Engineering, Customer Success, or similar roles 5+ years of experience working in the Contact Center space Experience working with ISV, SI, and BPO partners in SaaS or enterprise technology environments Desire to be a platform expert and provide technical guidance Ability to translate business requirements into technical solutions Proven ability to work cross-functionally with Sales, Product, and Engineering teams Excellent communication skills — able to explain complex technical concepts clearly to diverse audiences Strong project management and organizational skills Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: Comprehensive medical, dental, and vision coverage with plans to fit you and your family Flexible PTO to take the time you need, when you need it Paid parental leave for all new parents welcoming a new child Retirement savings plan to help you plan for the future Remote work setup budget to help you create a productive home office Monthly wellness and communication stipend to keep you connected and balanced In-office meal program and commuter benefits provided for onsite employees Compensation: Base: $160K - $180K base + equity Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in USA, and offer competitive local pay and benefits. Your recruiter can provide further details. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai", "summaryDescription" : "Partner AI Enablement Manager, GTM at Cresta. Skills: AI Agent enablement, Partner ecosystem, GTM strategy. Build AI Agent partner ecosystem. Drive revenue and customer outcomes", "postedDate" : "2026-06-15T23:24:46.602", "createdAt" : "2026-06-15T23:24:46.602", "lastUpdated" : "2026-06-16T07:57:09.263", "ingestTimestamp" : "2026-06-15T23:24:46.602", "mongoId" : "6a305ff5f292fd229cf8384e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Platform expertise", "AI Agent enablement", "Partner ecosystem", "GTM strategy", "Solutions Engineering", "Partner Engineering", "Customer Success", "Technical guidance", "Business requirements", "Technical solutions", "Cross-functional collaboration", "AI Agents", "Contact Center", "SaaS", "Enterprise technology" ], "skillCount" : 15, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 720.8197, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306f0df292fd229cfe467b", "title" : "Sr. Software Engineer, AI Enablement", "company" : "Klaviyo", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in the SaaS industry in Boston, adjusted for company size and seniority." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T10:16:03.428", "fingerprint" : "27047e4a333b8f308cc25b4f0678dc100a9ababac90472c3940203bf3bb276eb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.klaviyo.com/careers/jobs?gh_jid=7688416003", "externalId" : "7688416003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Django, Celery, Braintrust, Chronosphere, Claude, Cursor, MySQL, Redis, Pulsar, Amazon Web Services, EC2, RDS, Aurora, Kubernetes, Terraform, React, TypeScript, JavaScript, HTML, CSS, PyTorch, TensorFlow, LangChain, Gemini, Copilot", "professionalSkills" : [ "Technical leadership", "System design", "Architecture guidance" ], "hardSkillsList" : [ "Code generation", "Automating processes", "Testing automation", "Deployment automation", "Operational task automation" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Code generation", "level" : "intermediate" }, { "name" : "Automating processes", "level" : "intermediate" }, { "name" : "Testing automation", "level" : "intermediate" }, { "name" : "Deployment automation", "level" : "intermediate" }, { "name" : "Operational task automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI Enablement, Full Stack Development, Automation", "majorSkillsList" : [ "AI Enablement", "Full Stack Development", "Automation" ], "coreResponsibilities" : "Act as subject matter expert, Mentor other engineers, Champion AI-first development, Experiment with AI tools, Test AI tools, Learn from AI tools, Share AI insights, Champion new applications, Design full-stack platforms, Implement full-stack platforms, Maintain full-stack platforms, Integrate AI services, Utilize AI capabilities, Identify automation opportunities, Apply AI for automation, Automate engineering processes, Improve engineering efficiency, Improve engineering velocity, Apply standards for AI enablement, Contribute to standards for AI enablement, Apply patterns for AI enablement, Contribute to patterns for AI enablement, Apply guidance for AI enablement, Contribute to guidance for AI enablement, Ensure reliability, Ensure security, Ensure performance, Partner with Product, Partner with Design, Partner with Engineering teams, Understand team needs, Gather team requirements, Deliver production-ready solutions, Tackle tangible projects, Provide immediate impact, Shape AI application, Drive ML improvements, Build tools, Build platforms, Solve open-ended problems, Contribute to company ambition, Contribute to company growth, Write clean software, Write maintainable software, Solve hard problems, Write quality code, Push team forward, Push mission forward", "teamCollaboration" : "Cross-functional collaboration; Partner with Product; Partner with Design; Partner with Engineering", "domainKnowledge" : "AI enablement; AI adoption; Generative AI; Machine Learning; Responsible AI use; AI privacy; AI security; AI bias awareness; Human-in-the-loop AI", "domainList" : [ "ai-enablement", "ai-adoption", "generative-ai", "machine-learning", "responsible-ai-use", "ai-privacy", "ai-security", "ai-bias-awareness", "human-in-the-loop-ai" ], "domainSpecificKnowledge" : [ "AI enablement", "AI adoption", "Generative AI", "Machine Learning", "Responsible AI use", "AI privacy", "AI security", "AI bias awareness", "Human-in-the-loop AI" ], "toolProficiency" : [ "Copilot", "Cursor", "LangChain", "PyTorch", "TensorFlow", "Kubernetes", "Terraform" ], "innovationCreativity" : "Experimentation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Accelerate engineering velocity; Accelerate engineering innovation; Elevate quality responsibly; Dramatically improve engineering efficiency; Dramatically improve engineering velocity", "qualificationsBasic" : "5+ years full stack development, 5+ years Python experience, Experience designing scalable databases, Experience building complex software, Experience with AWS services, Experience standing up infrastructure, Experience monitoring for defects, Experience building REST APIs, Experience building GraphQL, Experience with middleware development", "qualificationsPreferred" : "Experience with AI/ML frameworks, Experience with AI/ML platforms, Prior experience in high-growth environment, Experience navigating technical complexity, Experience navigating change", "workSiteFlexibility" : "Flexible", "rawDescription" : "At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Senior Software Engineer, AI Enablement Why You Should Join the AI Enablement Team Join our dynamic AI Enablement team and play a pivotal role in accelerating our engineering organization's velocity and innovation. As a Senior Software Engineer, you’ll be at the forefront of how we apply Artificial Intelligence to software engineering—building the foundational frameworks, experimenting in real production workflows, and contributing to how teams across the company build with AI. We are looking for an experienced Full Stack Engineer with a deep passion for using AI and automation to solve complex, large-scale problems. What You'll Achieve: Key Responsibilities You will be the driving force behind AI adoption across our engineering teams, focusing on tangible, impactful outcomes: Technical Leadership: Act as a subject matter expert for AI-driven engineering tools, mentoring other engineers and championing a culture of AI-first development. Experiment: Continuously experiment with AI tools—testing, learning, and sharing insights to keep the team and organization ahead of the curve, as well as championing new applications that accelerate workflows and elevate quality responsibly. Build Paved Paths: Design, implement, and maintain robust, scalable full-stack platforms and tools that allow other engineers to easily integrate and utilize AI services and capabilities within their projects. Drive Automation: Identify high-leverage opportunities to apply AI for automating engineering processes, such as code generation, testing, deployment, and operational tasks, to dramatically improve engineering efficiency and velocity. Establish Best Practices: Apply and contribute to the standards, patterns, and architectural guidance for responsible and effective AI enablement, ensuring reliability, security, and performance. Cross-Functional Collaboration: Partner closely with Product, Design, and other Engineering teams to understand needs, gather requirements, and deliver production-ready solutions. What Makes This Role Exciting Hot Start & High Impact: You won't be on a \"listening tour.\" Your first 90 days will involve tackling tangible projects that provide an immediate impact on engineering productivity. Shape the Future: You will be at the forefront of applying generative AI and ML to drive meaningful improvements to how our engineering teams work. Ownership and Ambition: You will have significant ownership over the tools and platforms you build, solving complex, open-ended problems that directly contribute to our company's ambition and growth. Who You Are: 5+ years of full stack development experience. Hands-on experience with one or more front end technologies (React, TypeScript, Angular, Vue, etc.) Strong experience with specific AI/ML frameworks or platforms (e.g., PyTorch, TensorFlow, LangChain, Claude, Gemini, Copilot). Prior experience in a high-growth environment, navigating technical complexity and change. Experience with Python / Django or similarly typed languages. Experience with designing and managing scalable databases. Experience building and maintaining complex software. You’ll join us in writing clean, maintainable software that solves hard problems. You’ll write testable, quality code. You’ll push the team and the mission forward with your contributions. Strong experience with AWS services, how to stand up infrastructure, and monitor for defects. Hands-on experience with building REST APIs, GraphQL, and other middleware development tools. You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. Technologies we use (not exhaustive): Python, Django, Celery Braintrust, chronosphere Claude, Cursor MySQL, Redis, Pulsar Amazon Web Services (EC2, RDS, Aurora, etc.), Kubernetes, Terraform, and other DevOps tools React, TypeScript, JavaScript, HTML, CSS 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. Our salary range reflects the cost of labor across various U. S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $148,000—$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking \"Submit Application\" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).", "summaryDescription" : "Sr. Software Engineer, AI Enablement at Klaviyo. Skills: AI Enablement, Full Stack Development, Automation. Act as subject matter expert. Mentor other engineers", "postedDate" : "2026-06-16T01:15:46.944", "createdAt" : "2026-06-16T01:15:46.944", "lastUpdated" : "2026-06-16T10:16:03.428", "ingestTimestamp" : "2026-06-16T01:15:46.944", "mongoId" : "6a306f0df292fd229cfe467b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 245000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Code generation", "Automating processes", "Testing automation", "Deployment automation", "Operational task automation", "Mentoring", "AI Enablement", "Full Stack Development", "Automation", "Technical leadership", "System design", "Architecture guidance", "AI enablement", "AI adoption", "Generative AI", "Machine Learning", "Responsible AI use", "AI privacy", "AI security", "AI bias awareness", "Human-in-the-loop AI", "Copilot", "Cursor", "LangChain", "PyTorch", "TensorFlow", "Kubernetes", "Terraform" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 713.1869, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3050f2f292fd229cef74dd", "title" : "Early Educators", "company" : "Babilou Family US", "industry" : "First Chapters ERC", "salary" : { "min" : 18.0, "max" : 29.0, "currency" : "USD", "frequency" : "per-hour-wage" }, "location" : "Allston, MA", "locations" : [ "Allston, MA" ], "timestamp" : "2026-06-16T10:49:51.776", "fingerprint" : "451099478e37c1d280eeab1b50398657a7bc0fac276f3113017a65735aee9d15", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/littlesprouts/89f58ef7-b328-42cd-9e49-7506a226871f/apply", "externalId" : "89f58ef7-b328-42cd-9e49-7506a226871f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Allston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3555375,-71.1327494" } ], "locationText" : "Allston, Massachusetts, United States", "employmentType" : "FULL_TIME", "majorSkills" : "Early learning, Sustainable education", "majorSkillsList" : [ "Early learning", "Sustainable education" ], "coreResponsibilities" : "Contribute to safe learning environment, Nurture children's development, Implement learning experiences, Maintain eco-minded classroom, Foster respectful relationships", "teamCollaboration" : "Work collaboratively", "domainKnowledge" : "Early childhood education; Innovation district", "domainList" : [ "early-childhood-education", "innovation-district" ], "domainSpecificKnowledge" : [ "Early childhood education", "Innovation district" ], "innovationCreativity" : "Support children's curiosity", "qualificationsBasic" : "Early Educator experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Babilou Family US is thrilled to announce the opening of our next early childhood education school in Boston, MA, launching in Fall 2026. Our new school will be located in the heart of Harvard’s Enterprise Research Center (ERC), One Milestone—placing high-quality early learning at the center of a world-renowned innovation district. This unique location brings together leading minds in biotech, life sciences, technology, and academia, creating an inspiring environment where research, industry, and early childhood education intersect. Designed to support children’s curiosity, development, and lifelong love of learning, the school will also serve as a vital resource for families working and innovating in the ERC community.  Babilou Family US currently operates three school brands across New England: Heartworks, Building Blocks, and Little Sprouts. Our schools are part of a global, mission-driven early education organization dedicated to supporting the emotional and cognitive development of children in their earliest years. This new school on the Harvard Campus will be the latest addition to our school family and serve as our flagship location.  Babilou Family US is seeking inspiring Early Educators to join our school opening in Fall 2026 at Harvard’s Enterprise Research Center (ERC) in Boston, MA. Situated at the heart of a world-renowned innovation district, this role offers the rare opportunity to help shape a visionary early learning program that supports children’s curiosity, fosters lifelong learning, and serves as a cornerstone for families and the ERC community. As an Early Educator, you will contribute to a safe, nurturing, and sustainable learning environment where children can grow, explore, and thrive. You will work collaboratively to implement meaningful learning experiences, maintain an organized and eco‑minded classroom, and foster respectful relationships with children, families, and colleagues. This role is ideal for someone excited about early learning, teamwork, and incorporating sustainable education practices into daily routines.     We offer competitive hourly pay based on role, qualifications, and experience: Assistant Educators: $17.00 – $24.40 per hour ## Additional Information #INDLS", "summaryDescription" : "Early Educators at Babilou Family US. Skills: Early learning, Sustainable education. Contribute to safe learning environment. Nurture children's development", "postedDate" : "2026-06-15T18:14:15.821", "createdAt" : "2026-06-15T18:14:15.821", "lastUpdated" : "2026-06-16T10:49:51.776", "ingestTimestamp" : "2026-06-16T03:20:28.044", "mongoId" : "6a3050f2f292fd229cef74dd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 29, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Early learning", "Sustainable education", "Early childhood education", "Innovation district" ], "skillCount" : 4, "jobCategory" : "education", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 709.71844, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 707.55365, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cf9a674d8ee00a0a9b541", "title" : "System Enablement Specialist", "company" : "Lightspeed", "industry" : "Sales", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a System Enablement Specialist in Amsterdam, Netherlands, with 2+ years of experience and a mid-level seniority, adjusted for the technology industry and company size." }, "location" : "Amsterdam", "locations" : [ "Amsterdam" ], "timestamp" : "2026-06-15T08:26:37.021", "fingerprint" : "7ea2bfdba80fb9629081ccb3536f962c2dd3a48bdefb47bc1372d87d64bb7884", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/000a1171-011a-4c80-894d-ef7ed06b0307/application", "externalId" : "000a1171-011a-4c80-894d-ef7ed06b0307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amsterdam", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.3730796,4.8924534" } ], "locationText" : "Amsterdam, Netherlands", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "Salesforce, AI", "professionalSkills" : [ "Sales Enablement", "Sales Operations", "Technical Training", "Content creation", "Training delivery", "Data analysis", "Project management", "Stakeholder management", "Strategic thinking", "Problem-solving" ], "hardSkillsList" : [ "Multimedia content creation", "Instructional video production", "Data analysis", "Performance gap identification" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Multimedia content creation", "level" : "intermediate" }, { "name" : "Instructional video production", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance gap identification", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Sales Enablement, Content creation, Training delivery", "majorSkillsList" : [ "Sales Enablement", "Content creation", "Training delivery" ], "coreResponsibilities" : "Design multimedia training content, Create multimedia training content, Deliver multimedia training content, Lead live training sessions, Lead virtual training sessions, Analyze enablement impact, Measure enablement impact, Monitor tool adoption, Identify performance gaps, Provide data-driven recommendations, Partner with Product Management, Ensure enablement alignment, Coordinate initiatives, Translate technical complexities, Manage enablement projects, Drive adoption of features, Drive adoption of processes, Ensure smooth transition", "teamCollaboration" : "Partner with Product Management; Bridge technical teams and GTM; Cross-functional collaboration", "projectManagementSkills" : [ "Jira" ], "domainKnowledge" : "Sales tech ecosystem; Product development lifecycle", "domainList" : [ "sales-tech-ecosystem", "product-development-lifecycle" ], "domainSpecificKnowledge" : [ "Sales tech ecosystem", "Product development lifecycle" ], "toolProficiency" : [ "Salesforce CRM", "Gong", "Google Workspace", "ChatGPT", "Gemini", "NotebookLM", "Jira" ], "communicationSkills" : "French communication; English communication", "continuousLearning" : "Learn new technologies; Explore AI tools", "problemSolvingSkills" : "Problem-solving; Anticipate challenges; Shape solutions", "outcomesObjectives" : "Improve sales effectiveness; Ensure knowledge implementation; Translate feedback to recommendations", "qualificationsBasic" : "2+ years experience, Salesforce CRM experience, Google Workspace proficiency, AI content tools experience, Project management tools experience, English working language fluency", "qualificationsPreferred" : "Product development lifecycle understanding, Experience in technology organization, Hospitality industry knowledge, Retail industry knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Hi there! Thanks for stopping by Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a System Enablement Specialist to join our System Enablement team, part of our Information Systems department. You will be a strategic partner to our Go-to-Market (GTM) organization, acting as the essential bridge between our internal product team and go-to-market users. In this role, your purpose is to directly impact sales effectiveness by creating and delivering high-quality enablement content. You will produce clear, practical, and engaging material designed to ensure our sales team can fully leverage the power of tools made available to them. The role also involves leading training sessions in both live and online formats to ensure this knowledge is successfully implemented. As a critical conduit for feedback, gathering insights from the sales team and translating them into actionable recommendations for our IS Product team is critical. And finally, expert-level knowledge of our current system will ensure our internal tech stack continues to evolve. What you’ll be responsible for: - Designing, creating, and delivering highly engaging, multimedia training content including dynamic presentations, instructional videos, and practical guides that make complex information \"stick.\" - Leading engaging live and virtual training sessions on our CRM (Salesforce), sales engagement tools, and all new system functionalities, ensuring high levels of participation, adoption, and knowledge retention. - Leveraging new and creative means to analyze and measure enablement impact, monitor tool adoption, and identify performance gaps, providing data-driven recommendations for improvement. - Partnering with the Product Management team to ensure enablement activities align with scope and scale of initiatives and ensuring smooth coordination - Acting as the critical bridge between technical/product teams and the GTM organization; mastering new features and technologies to translate their complexities into clear content for sales and other GTM Stakeholders. - Managing multiple, simultaneous enablement projects from ideation to completion using tools like Jira and other task management tools. Drive the adoption of new features and processes across the company, ensuring a smooth transition for all sales teams and other GTM Stakeholders. What you’ll be bringing to the team: - A minimum of 2+ years of professional experience in Sales Enablement, Sales Operations, Technical Training, or a similar function where you’ve supported or improved sales teams. - Hands on experience working with Salesforce CRM is required - Proficiency with sales engagement tools such as Gong, along with a strong understanding of the broader sales tech ecosystem. - Demonstrated experience with Google Workspace (Slides, Docs), and AI content creation tools (e.g., ChatGPT, Gemini, NotebookLM). - Comfort using project management tools like Jira (or equivalent) for tracking tasks and workflows. - Exposure to data analysis platforms such as Looker, Tableau, or similar tools. - Excellent communication skills in English; French is considered an asset. - Exceptional organizational abilities, with a proven capacity to adapt quickly in fast-changing or ambiguous environments. - Strong collaboration skills, with experience partnering across internal teams to drive alignment and deliver results. - Strategic thinking and problem-solving skills, with a proactive mindset toward anticipating challenges and shaping solutions. - As a global company with employees and clients outside of Quebec, fluency in English as a working language is required for this position. Even better if you have, but not necessary: - A solid understanding of the product development lifecycle and experience working within a technology-focused organization. Familiarity with the Hospitality and/or Retail industries is a strong plus. About you: - You are a master storyteller, capable of simplifying complex technical concepts into clear, engaging, and persuasive narratives for a sales audience. - You possess an innate ability to quickly grasp complex technical features and a genuine passion for exploring new technologies, including AI tools and platforms. - You don't just present; you create learning experiences. You have a creative flair for building content that is memorable, effective, and drives behavioral change. - You are a proactive self-starter who thrives when working independently, but you are also a consummate team player who excels at cross-functional collaboration. What is in it for you: - Lots of autonomy, flexible work culture and the option of fully remote work - Genuine career opportunities in a company that’s creating new jobs every day - Opportunity to make a difference; help merchants grow their businesses and become more successful by creating or improving products and addressing customer feedback - Work in a team big enough for growth but lean enough to make a real impact - Development of very high traffic products, used at a global scale - Opportunities to learn and expand your skill set - Become a valued part of the diverse and inclusive Lightspeed culture … and enjoy a range of benefits that’ll keep you happy, healthy and (not) hungry: - Lightspeed equity scheme (we are all owners) - Lunch provided in select offices on scheduled days - Work from anywhere in the world for 60 days a year - Health and wellness benefit, according to local eligibility - Mental health online platform and counseling & coaching services - Volunteer day To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "System Enablement Specialist at Lightspeed. Skills: Sales Enablement, Content creation, Training delivery. Design multimedia training content. 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Why choose us? Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle. You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/Nützen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you’ll benefit from* Flexible working hours and remote work options Attractive employee discounts (50% discount on our products) Subsidy for the E-gym Wellpass (Classpass in NL & UK) Workation Corporate benefits (only in Germany) 28 days vacation/year and much more About Us The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021. ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise. TQG’s vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees. This is us – The Quality Group – nice to meet you! Now it’s your turn! We look forward to your application! Regardless of gender, age, background, or identity – what matters to us is who you are and what you bring to the table. Join our team and grow with us!", "summaryDescription" : "AI Enablement & Transformation Lead (gn) at The Quality Group", "postedDate" : "2026-06-15T23:28:26.195", "createdAt" : "2026-06-15T23:28:26.195", "lastUpdated" : "2026-06-16T06:43:32.715", "ingestTimestamp" : "2026-06-15T23:28:26.195", "mongoId" : "6a30667af292fd229cfb2175", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 698.84735, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.9 }, { "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, "_score" : 697.7406, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30601ff292fd229cf85f77", "title" : "AI Enablement & Transformation Lead (gn)", "company" : "The Quality Group GmbH", "industry" : "Food & Beverage", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead AI Enablement & Transformation role in Hamburg, Germany, adjusted for the Food & Beverage industry and company size." }, "location" : "Ottensen, Hamburg, Germany", "locations" : [ "Ottensen", "Hamburg", "Germany" ], "timestamp" : "2026-06-16T08:06:36.793", "fingerprint" : "7b24c49f36c96ac928061d92dd99acc7b779497dfce51aca0617e2a9443d20c9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/thequalitygroupgmbh1/jobs/4894531101", "externalId" : "4894531101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hamburg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "53.5501721,10.0013165" } ], "locationText" : "Hamburg, Germany", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "qualificationsPreferred" : "German is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Your next step in AI Enablement German is a strong plus. Why choose us? Being part of our team means joining a high-performing company with a diverse and inclusive culture. In our fast-growing team of over 1,200 employees, we combine our passion for sports nutrition, supplements, and healthy foods with cutting-edge technology, production, and logistics processes. All of this serves one goal: providing our customers with top-quality products to support their healthy and active lifestyle. You can look forward to a strong sense of team spirit, ongoing opportunities for professional growth and responsibility, and an exciting work environment that blends lifestyle and career. With locations in Hamburg, Elmshorn, Kaltenkirchen/Nützen, and Elsdorf, TQG offers diverse career opportunities in areas such as technology, product development, sales, marketing, and logistics. Additionally, you’ll benefit from* Flexible working hours and remote work options Attractive employee discounts (50% discount on our products) Subsidy for the E-gym Wellpass (Classpass in NL & UK) Workation Corporate benefits (only in Germany) 28 days vacation/year and much more About Us The Quality Group (TQG) is an innovative provider of sports nutrition products, bringing together the successful brands ESN and More Nutrition since 2021. ESN has been the German market leader in sports nutrition since 2004, offering products like protein powders, bars, and supplements designed for ambitious fitness goals. Founded in 2017, More Nutrition focuses on healthy, reduced-sugar foods, providing solutions for conscious nutrition and weight management without compromise. TQG’s vision is to help people become the best version of themselves. With passion and innovation, the company develops high-quality products that promote health, performance, and joy in life. Its agile company culture and exciting career opportunities make TQG a strong partner not only for customers but also for employees. This is us – The Quality Group – nice to meet you! Now it’s your turn! We look forward to your application! Regardless of gender, age, background, or identity – what matters to us is who you are and what you bring to the table. Join our team and grow with us!", "summaryDescription" : "AI Enablement & Transformation Lead (gn) at The Quality Group GmbH", "postedDate" : "2026-06-15T23:26:44.894", "createdAt" : "2026-06-15T23:26:44.894", "lastUpdated" : "2026-06-16T08:06:36.793", "ingestTimestamp" : "2026-06-15T23:26:44.894", "mongoId" : "6a30601ff292fd229cf85f77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 697.51807, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.85 }, { "id" : "6a30814bf292fd229c069c7b", "title" : "Agricultural Assistant - Pest and Disease Inspector", "company" : "County of Grande Prairie", "industry" : "Government Administration", "salary" : { "min" : 25.0, "max" : 30.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Clairmont, AB, Canada", "locations" : [ "Clairmont", "AB", "Canada" ], "timestamp" : "2026-06-16T12:24:37.128", "fingerprint" : "463e5eb2f8722f67c25e116b32c265a952656663cf3c9ae93d5518bbe7153344", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/CountyOfGrandePrairieNo1/744000132214429-agricultural-assistant-pest-and-disease-inspector", "externalId" : "744000132214429", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Clairmont", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "55.2623283,-118.7906709" } ], "locationText" : "Clairmont, Alberta, Canada", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "coreResponsibilities" : "Carry out crop inventory survey, Pick weeds in inaccessible areas, Transport weeds to incinerator, Assist with placing traps, Assist with monitoring traps, Assist in data reporting, Assist in planting demo site, Assist in maintaining demo site, Organize Weed Warrior program, Participate in Weed Warrior program, Assist with plant sample collections, Assist with soil sample collections, Assist with Clubroot monitoring, Assist with Clubroot sampling, Assist with crop inspections, Assist in organizing County functions, Participate in County functions", "teamCollaboration" : "Collaborative teams", "domainKnowledge" : "Insects; Diseases in agriculture; Invasive Species; Clubroot", "domainList" : [ "insects", "diseases-in-agriculture", "invasive-species", "clubroot" ], "domainSpecificKnowledge" : [ "Insects", "Diseases in agriculture", "Invasive Species", "Clubroot" ], "specialRequirements" : "Ability to work outdoors, Work outdoors in varying conditions", "qualificationsBasic" : "Valid Class 5 driver's license, Acceptable driver's abstract, Reliable transportation to and from work", "qualificationsPreferred" : "Interest in agriculture, Enjoy working in collaborative teams, Willingness to find and catch insects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The County of Grande Prairie builds on its natural environment and the entrepreneurial spirit of its citizens to provide an unmatched quality of life and opportunity for all. We offer a collaborative and dynamic workplace where our values of Trustworthy, Transparent, Respectful, and Collaborative guide our conduct and contribute to a healthy culture. The Agriculture department is looking for an experienced seasonal Agricultural Assistant with an immediate start to October 30, 2026. We are seeking applicants who enjoy the public, possess excellent computer skills, and have exceptional communication and record-keeping skills. Responsibilities include: * Carry out the crop inventory survey for the season * Pick weeds in inaccessible areas and transport them to the incinerator at the landfill site * Assist with placing and monitoring 1) Bertha Armyworm; 2) Diamondback Moth and 3) Wheat Midge traps * Assist in Data reporting * Assist in planting and maintaining of Invasive Species Demo Site and other similar projects * Organize and participate in the Weed Warrior program * Assist with plant and soil sample collections * Assist with Clubroot monitoring and sampling * Assist with crop inspections for Pest and Disease issues * Assist in organizing and participating in various County functions ## Qualifications * A valid Class 5 driver's license and acceptable driver's abstract * An interest in agriculture, particularly insects and diseases found in agriculture * A strong work ethic * Ability to work outdoors in varying conditions * Enjoy working in collaborative teams * Willingness to find and catch different insects The successful applicants must have reliable transportation to and from work. ## Additional Information Work Schedule: This position is 40 hours a week Monday to Friday 8:00 am to 4:30 pm with some weekends and evenings as required. Hourly Pay: $25.53 to $30.03 hourly Closing Date: June 21, 2026, 11.59 pm MST. Other Employee Perks: * Personal protective equipment (PPE) allowance * Personal fuel card with discounted price * County campground discount and more As part of the County of Grande Prairie’s commitment to provide a safe and healthy workplace, we encourage and support a scent-free environment. We thank all applicants for their interest; however, only those selected for an interview will be contacted. Only applications submitted online will be accepted. We do not accept applications sent via email. The County of Grande Prairie recognizes and values the principles of fair hiring practices. We are committed to a respectful and inclusive workplace and welcome applications from all qualified individuals. Should you require accommodation through any stage of the recruitment process, please contact[ hr@countygp.ab.ca](mailto:hr@countygp.ab.ca) and we will work with you to meet your needs. * This posting may be used for future vacancies or to fill more than one position * This posting may be open until a suitable candidate(s) is/are found. Please note that once your application is complete, you will receive a confirmation email. If we require any additional information we will contact you. Due to the volume of applications received we can only answer questions at the interview stage.", "summaryDescription" : "Agricultural Assistant - Pest and Disease Inspector at County of Grande Prairie. Carry out crop inventory survey. 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Develop AI solutions. 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We’re looking for a Senior Analyst for an existing vacancy on our Investment team to integrate AI tools within our trading and process platforms to modernize trading services for clients. The role will combine CC strong data manipulation skills, proficiency in MS Suite applications Experience using AI-assisted workflows to accelerate Finance deliverables, and experience deploying or operationalizing ML models (validation, monitoring, documentation, versioning) Experience with Salesforce, Charles River, KDB, would be an asset Bachelor’s degree with preference in Finance, Accounting, Economics, Engineering, Math, Computer Science, or similar discipline Functional/technical expertise, communication, collaboration skills Ownership, growth mindset, continuous improvement & innovation Planning, judgment & decision-making skills The salary range for this position is $80,000-$110,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process. #LI-HYBRID #LI-JB1 For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.  CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Senior Analyst, Trading & AI Enablement at Connor, Clark & Lunn Private Capital Ltd. . Skills: Trading, AI Enablement. Analyze trading data. 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If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: Kong's IT team is standing up a new capability: a small, specialized group that goes directly into business functions and builds AI into how work gets done. We call them AI Enablement Specialists — and we're looking for a senior practitioner to help lead that effort. This isn't an advisory role. You'll be hands-on with the teams you support, building tools that solve real problems and helping people develop new skills they'll carry forward. The scope is company-wide — Sales, Marketing, Finance, HR, Legal, Customer Success, and beyond. You'll have the autonomy to prioritize where your time creates the most value, and the backing of IT leadership to get things done. If you've already done this kind of work — transforming how people and teams operate through AI — and you're looking for an environment where you can do it at scale with real ownership, this is the role. What you'll do: - Spend time inside business teams to understand how they actually work — their tools, processes, pain points, and highest-priority outputs. - Build AI-powered workflows, automations, and custom tools that address real bottlenecks and deliver measurable time savings. - Help team members develop their own AI skills through one-on-one coaching, working sessions, and structured practice — moving them from early experimentation to confident, independent use. - Recognize when a solution built for one team applies to others, and do the work to make it reusable across the organization. - Establish a clear framework for tracking AI adoption progress across business units and report findings to IT leadership on a regular cadence. - Set documentation standards for the team — every tool, workflow, and lesson learned should be captured so it doesn't live only in your head. - Help develop Kong's internal AI governance standards in partnership with IT, Security, and Engineering. - Mentor junior team members and interns, giving them hands-on experience and clear feedback. - Stay current on AI developments and translate what's relevant into practical applications for Kong's business context. What you'll bring: Minimum Requirements - 5+ years of experience in a technical or cross-functional role that required problem-solving across teams and functions. - A track record of building AI-powered tools, automations, or workflows that changed how real work gets done — with specific examples you can speak to. - Experience helping others develop new technical skills, whether through formal training, one-on-one coaching, or team enablement programs. - Clear, concise communication skills — you can explain a technical concept to someone who's never thought about it before, without talking down to them. - Comfort with ambiguity and self-direction; you don't need a detailed roadmap to know where to start. - Experience working in or with an IT organization, or a comparable role supporting business operations across multiple functions. Preferred Qualifications: - Hands-on experience with AI development platforms and tools such as Claude, Claude Code, MCPs, LLM APIs, custom agent frameworks, or workflow automation platforms. - Background in change management, organizational development, or a large-scale rollout that required bringing skeptical stakeholders along. - Experience in consulting, solutions engineering, or a client-facing technical role where you had to earn trust and deliver results quickly. - Familiarity with the enterprise SaaS tools Kong runs on: Okta, Slack, Google Workspace, Salesforce, Jira, or Freshservice. - Experience creating internal toolkits, playbooks, or training programs that outlived your involvement and were adopted at scale. - Familiarity with Kong Konnect, Kong Gateway, or API management concepts — understanding how APIs and AI models connect will help you build smarter tools. #LI-KH1 About Kong: Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com http://www.konghq.com.", "summaryDescription" : "Senior AI Enablement Specialist - FE at Kong. Skills: AI Enablement, Workflow Automation, Skill Development. Understand business team operations. 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Advanced Microsoft Excel skills; proficiency with Microsoft Office Suite, including PowerPoint. Ability to learn quickly and adapt to changing systems, processes, and business needs, including ERP migration activity. Travel Required: Yes, up to 10% of the time Base Salary: $119,000 - $125,600 This range represents the low and high ends of this position's anticipated base salary range. The actual base salary will depend on numerous factors such as experience, knowledge, skills, and location. Our base salary is just one component of our competitive total rewards strategy, which includes numerous benefits and perks as well as specific health and welfare benefits. Why Work at KEEN: Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that’s on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protect the places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place. Fuerst Group, KEEN, and Chrome are equal opportunity employers. We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.", "summaryDescription" : "Financial Systems & AI Enablement Manager at KEEN Footwear. Skills: Financial Systems, AI Enablement. Learn quickly. 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Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We’re always looking for smart, fearless and high-impact talent who see AI as a teammate – leveraging it to move faster and deliver meaningful results. When you’re part of Gen, you’ll have the flexibility, tools and support to do your best work and grow your career – from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You’ll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we’d love you to be part of Gen. How We Work Our hybrid work style (3 days in the office – London )- gives us the face-to-face time to have creative conversations, meaningful meetings, make quick decisions and build relationships. And it’s flexible enough to give you the space to do your best work. About the Role: The Insight Operations & AI Enablement Lead sits within the Global Insights & Strategy team, part of Global Marketing (Marketing, Brand & Communications). The role sits at the intersection of strategy, operations and enablement, building and scaling the operational and AI foundations of the Insight function so the team can move faster, work smarter and focus on high‑value insight and strategy. You will lead the AI enablement agenda for the Insight team (where and how AI supports our work), own core team operations (budget, suppliers and team cadences), and run research operations (tools, governance, compliance and recruitment). By combining strong operations skills with technical curiosity and a service mindset, you will increase the speed, quality and strategic impact of the Insights team while ensuring responsible, compliant and cost‑effective delivery. Key Responsibilities: 1. AI enablement - Define and maintain the AI roadmap for the Insight team, focusing on clear, high‑value use cases across the insight lifecycle (briefing, analysis, reporting, activation, knowledge management). - Plan and run AI pilots (e.g. summarisation, coding, assistive authoring, knowledge search) with defined success criteria, turning proven pilots into standard workflows. - Own a concise AI playbook covering workflows, prompts, templates and guardrails, including when work should be human‑only vs human‑in‑the‑loop. - Partner with Legal, Privacy, InfoSec and central AI teams to ensure responsible AI use in line with Gen policies. 2. Research operations - Maintain the inventory of research tools and platforms (survey, UX testing, panels, repositories, dashboards), including owners, contracts and purpose, and recommend standardisation or upgrades where helpful. - Ensure research tools and practices are GDPR‑compliant and aligned to Gen’s privacy and data protection requirements; keep core consent and data‑handling guidance up to date. - Oversee respondent recruitment processes (external panels, customer samples, in‑product intercepts) with agencies and internal partners, monitoring response rates, cost and participant experience. - Create and maintain lean operations templates and checklists (e.g. consent language, incentives, screeners, data‑handling steps) and use automation/AI where appropriate to remove manual, repeatable tasks. 3. Team operations - Support annual planning and in‑year tracking of insight budgets (agencies, panels, tools, training), and manage key renewals, POs and value checks for core suppliers. - Coordinate the team rhythm – meetings, all hands, show‑and‑tells, training and offsites – with clear objectives, agendas, notes and follow‑ups stored in the right places (e.g. SharePoint, Stravito, Teams/Slack). - Maintain and evolve core ways of working (intake/briefing, workstack tracking, debrief templates, documentation) and stakeholder guidance on how to work with the Insight team. About you: Education: - Bachelor’s degree in a relevant field (e.g. Business, Operations, Marketing, Information Systems) or equivalent practical experience. Experience: - Experience in operations, programme management, research operations or marketing operations, ideally within insights, research, analytics, product or marketing. - Hands‑on familiarity with research tools and workflows (e.g. survey platforms, UX testing tools, panels, insight repositories). - Experience managing suppliers, contracts and budgets (planning, tracking, renewals, value assessment). - Experience owning or overseeing AI tool adoption and development of AI workflows, and comfort experimenting with new technology in a structured way. Skills: - Strong process and systems thinking – able to map workflows and design simple, scalable processes. - Technically curious – quick to learn new tools and translate them into practical use cases and guidance. - Stakeholder management – credible with researchers, PMs, designers, marketers and ops/finance partners; able to influence without direct authority. - Clear written and verbal communication, including playbooks, how‑to guides and training materials. - Comfortable with change and ambiguity, and able to support others through adoption of new tools and ways of working. Personal Attributes: - Ability to thrive in a fast-paced, high-tech environment and manage complex problems. - Service‑oriented: motivated by making it easier for the team to deliver great work and for stakeholders to use insight. - Experiment‑driven: prefers test‑and‑learn over big‑bang changes. - Methodical and detail‑oriented: approaches tasks with careful planning, ensuring processes are followed and details are addressed. - Ethical and responsible: thoughtful about risk, especially around customer data and AI. What’s next: Your CV will be reviewed together by the recruiter and hiring manager to assess the scope of your role, the impact you’ve delivered, and how your experience aligns with the position. If shortlisted, the recruiter will invite you to an initial Zoom conversation to discuss your background, what’s compelling you to Gen, and walk you through the interview process. Important Application Note – When you apply, please include your current city and country and let us know your work status (e.g. visa status, right to work in the relevant country, etc.). Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs. Gen is an equal opportunity employer, and we’re committed to fair, inclusive practices at every stage of the candidate and employee journey. Employment decisions are based on merit, experience and business needs.", "summaryDescription" : "Insight Operations & AI Enablement Lead at Gen", "createdAt" : "2026-06-14T19:21:59.296", "lastUpdated" : "2026-06-16T01:25:07.478", "ingestTimestamp" : "2026-06-14T19:21:59.296", "mongoId" : "6a2c8bd574d8ee00a0973df0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "_score" : 648.16534, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6ace74d8ee00a090e1ae", "title" : "Manager, AI Programs & Sales Enablement", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 150000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-15T07:04:06.063", "fingerprint" : "5afc934ec5f3d7ddd3109f805cd35f63c6f9e9c14a02455574dc73b63217e311", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4229381009", "externalId" : "4229381009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, GenAI, Machine learning, Data platforms, LLM", "professionalSkills" : [ "Sales motions", "Deal closure", "Revenue generation", "Client relationships", "Strategic advisory", "Go-to-market strategy", "Sales enablement", "GTM strategy", "Program management", "Cross-functional leadership" ], "hardSkillsList" : [ "Sales narratives", "Sales plays", "Customer-ready materials", "Sales assets", "Executive decks", "Solution briefs", "Industry messaging", "Deal structuring", "Proposal development", "Presentation development" ], "hardSkills" : [ { "name" : "Sales narratives", "level" : "intermediate" }, { "name" : "Sales plays", "level" : "intermediate" }, { "name" : "Customer-ready materials", "level" : "intermediate" }, { "name" : "Sales assets", "level" : "intermediate" }, { "name" : "Executive decks", "level" : "intermediate" }, { "name" : "Solution briefs", "level" : "intermediate" }, { "name" : "Industry messaging", "level" : "intermediate" }, { "name" : "Deal structuring", "level" : "intermediate" }, { "name" : "Proposal development", "level" : "intermediate" }, { "name" : "Presentation development", "level" : "intermediate" } ], "majorSkills" : "AI Programs, Sales Enablement, GenAI, Consulting", "majorSkillsList" : [ "AI Programs", "Sales Enablement", "GenAI", "Consulting" ], "coreResponsibilities" : "Translate AI capabilities into sales narratives, Translate AI capabilities into sales plays, Translate AI capabilities into customer-ready materials, Build repeatable sales assets, Equip sales teams, Understand AI offerings deeply, Package AI offerings, Align sales and delivery, Eliminate gaps, Support priority opportunities, Structure deal narratives, Coordinate inputs across teams, Ensure quality proposals, Ensure quality presentations, Act as deal quarterback, Develop sales plays, Refine sales plays, Identify ICP segments, Identify opportunity patterns, Capture field feedback, Refine positioning, Refine assets", "teamCollaboration" : "AI practice teams; Sales teams; Account executives; Cross-functional teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "AI; GenAI; Data engineering; AI systems; Agentic systems; Trust & safety; AI evaluation; Model training; Enterprise sales", "domainList" : [ "ai", "genai", "data-engineering", "ai-systems", "agentic-systems", "trust-safety", "ai-evaluation", "model-training", "enterprise-sales" ], "domainSpecificKnowledge" : [ "AI", "GenAI", "Data engineering", "AI systems", "Agentic systems", "Trust & safety", "AI evaluation", "Model training", "Enterprise sales" ], "communicationSkills" : "Executive presentations; Sales narratives; Sales plays; Customer-ready materials; Executive decks; Solution briefs; Industry messaging", "outcomesObjectives" : "Accelerate pipeline creation; Improve win rates; Drive clarity in positioning; Drive clarity in selling AI", "qualificationsBasic" : "5–10+ years experience, Top-tier consulting firm experience, AI/machine learning/data platforms exposure, GenAI / LLM use cases exposure, Experience working with enterprise clients, Experience with complex environments, Translate technical concepts, Build executive-level presentations, Program management skills, Cross-functional leadership skills, AI services experience, Data engineering experience, AI platforms experience, Sales enablement roles experience, GTM strategy roles experience, AI evaluation familiarity, Model training familiarity, Agentic systems familiarity, Trust & safety familiarity, Enterprise sales cycles familiarity, Deal structuring familiarity", "qualificationsPreferred" : "McKinsey, Bain, BCG preferred, GenAI / LLM use cases 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: We are seeking a high-impact program leader with a consulting background (McKinsey, Bain, BCG, or equivalent)and strong exposure to AI/GenAI to serve as the critical interface between our AI practices and our sales organization. This role is responsible for translating complex AI capabilities into clear, compelling, and actionable sales motions, enabling our sales teams to win high-value enterprise deals. You will operate at the intersection of: AI product and practice teams Sales and account executives Go-to-market strategy Your success will be measured by your ability to: accelerate pipeline creation improve win rates drive clarity in how we position and sell AI solutions What You’ll Own: Sales Enablement for AI Solutions (Core) Translate AI capabilities (data, evaluation, agentic systems, trust & safety, etc.) into: Sales narratives Sales plays Customer-ready materials Build repeatable, high-conversion sales assets: Executive decks Solution briefs Industry-specific messaging Equip sales teams to confidently sell complex AI offerings Bridge Between Practices and Sales Work closely with AI practice leaders to: Understand offerings deeply Package them into market-ready solutions Align sales and delivery on: What we sell How we deliver Where we differentiate Eliminate gaps between technical capability and commercial execution Program Management of Strategic Deals Support priority opportunities by: Structuring deal narratives Coordinating inputs across teams Ensuring high-quality proposals and presentations Act as a “deal quarterback” for complex, multi-stakeholder engagements GTM Strategy & Sales Plays Develop and refine targeted sales plays: By industry By use case By buyer persona Identify: High-value ICP segments Repeatable opportunity patterns Insight & Feedback Loop Capture field feedback from sales and SDR teams Identify: What resonates Where deals stall Where messaging breaks down Continuously refine positioning and assets You’ll Thrive in This Role If You Have: 5–10+ years experience in: Top-tier consulting firm (McKinsey, Bain, BCG preferred) OR equivalent strategic advisory experience Strong exposure to: AI/machine learning/data platforms GenAI / LLM use cases (preferred) Experience working with: Enterprise clients Complex, multi-stakeholder environments Proven ability to: Translate technical concepts into business value Build executive-level presentations and narratives Strong program management and cross-functional leadership skills Experience in: AI services, data engineering, or AI platforms Sales enablement or GTM strategy roles Familiarity with: AI evaluation, model training, agentic systems, or trust & safety Exposure to: enterprise sales cycles and deal structuring The expected salary range for this position is $150,000 – $170,000 USD per year, 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. 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" : "Manager, AI Programs & Sales Enablement at Innodata Inc.. Skills: AI Programs, Sales Enablement, GenAI, Consulting. Translate AI capabilities into sales narratives. Translate AI capabilities into sales plays", "postedDate" : "2026-06-14T08:53:42.709", "createdAt" : "2026-06-14T08:53:42.709", "lastUpdated" : "2026-06-15T07:04:06.063", "ingestTimestamp" : "2026-06-14T08:53:42.709", "mongoId" : "6a2c6ace74d8ee00a090e1ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 170000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Sales narratives", "Sales plays", "Customer-ready materials", "Sales assets", "Executive decks", "Solution briefs", "Industry messaging", "Deal structuring", "Proposal development", "Presentation development", "AI Programs", "Sales Enablement", "GenAI", "Consulting", "Sales motions", "Deal closure", "Revenue generation", "Client relationships", "Strategic advisory", "Go-to-market strategy", "Sales enablement", "GTM strategy", "Program management", "Cross-functional leadership", "AI", "Data engineering", "AI systems", "Agentic systems", "Trust & safety", "AI evaluation", "Model training", "Enterprise sales" ], "skillCount" : 32, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 646.5099, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4742beec4dd3d9a4729", "title" : "Compliance Officer: Surveillance (VN2455)", "company" : "Marex", "industry" : "Banking", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Compliance Officer: Surveillance in Sao Paulo, Brazil, within the Financial Services industry, adjusted for company size and specific role." }, "location" : "Sao Paulo, BR", "locations" : [ "Sao Paulo", "BR" ], "timestamp" : "2026-06-16T05:24:08.051", "fingerprint" : "97544118043fa770ef875aa8c498b395e371b0345ae946b9cbb75fd5958bc3fd", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://marex.breezy.hr/p/536541babb3701-compliance-officer-surveillance-vn2455", "externalId" : "536541babb3701", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "rawDescription" : "About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across", "summaryDescription" : "Compliance Officer: Surveillance (VN2455) at Marex", "createdAt" : "2026-06-14T18:40:38.331", "lastUpdated" : "2026-06-16T05:24:08.051", "ingestTimestamp" : "2026-06-14T18:40:38.331", "mongoId" : "69dde4742beec4dd3d9a4729", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 645.9614, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305193f292fd229cf027f1", "title" : "Early Intervention BCBA", "company" : "Centria Autism", "industry" : "Healthcare", "salary" : { "min" : 90000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Decatur, Georgia, United States", "locations" : [ "Decatur", "Georgia", "United States" ], "certifications" : [ "BCBA certification" ], "timestamp" : "2026-06-16T07:21:22.975", "fingerprint" : "7e00e342dc3b82097dca0069b393790bbb36498aff10c916c84fa698771ffc68", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/centriaautism/jobs/8592968002", "externalId" : "8592968002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Decatur", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.8736613,-84.5740953" } ], "locationText" : "Decatur, Georgia, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "ABA, Data analysis", "professionalSkills" : [ "Behavioral analysis", "Treatment planning", "Clinical supervision" ], "hardSkillsList" : [ "Behavioral assessment", "Intervention implementation", "Data analysis" ], "hardSkills" : [ { "name" : "Behavioral assessment", "level" : "intermediate" }, { "name" : "Intervention implementation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Behavioral analysis, Early intervention, ABA therapy", "majorSkillsList" : [ "Behavioral analysis", "Early intervention", "ABA therapy" ], "coreResponsibilities" : "Conduct functional behavior assessments, Develop behavior intervention plans, Implement behavior intervention plans, Provide direct ABA therapy, Supervise behavior technicians, Collect and analyze data, Train parents and caregivers, Collaborate with multidisciplinary team", "teamCollaboration" : "Multidisciplinary team", "domainKnowledge" : "Applied Behavior Analysis; Early intervention; Child development; HIPAA regulations", "domainList" : [ "applied-behavior-analysis", "early-intervention", "child-development", "hipaa-regulations" ], "domainSpecificKnowledge" : [ "Applied Behavior Analysis", "Early intervention", "Child development", "HIPAA regulations" ], "toolProficiency" : [ "EHR systems" ], "communicationSkills" : "Parent training; Caregiver training", "documentationSkills" : "Clinical documentation; Data reporting", "problemSolvingSkills" : "Behavioral problem-solving", "specialRequirements" : "Valid driver's license, Local travel", "outcomesObjectives" : "Improve client outcomes; Achieve treatment goals", "qualificationsBasic" : "BCBA certification required, Master's degree in related field required, 3+ years of experience in ABA, Experience with data collection and analysis, Valid driver's license", "qualificationsPreferred" : "Experience with early intervention services, Experience with electronic health records (EHR), Supervisory experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a BCBA passionate about early intervention and lifelong impact? At Life Skills Autism Academy, a division of Centria Autism, we provide full-time, center-based ABA therapy for children ages 5 and under. Our mission is clear: deliver compassionate, evidence-based care during the most critical developmental window, so every child has the best chance to thrive. Compensation & Incentives – Earn a base salary of $90,000–$100,000, plus weekly and monthly bonus opportunities (typically averaging $1,000/month) and a $10,000 signing bonus. What Centria Offers: Early Intervention, Big Impact – Help shape a child’s future during the years when ABA therapy can make the most significant developmental difference. Purpose-Built Centers – Our LSAA centers are thoughtfully designed for children 5 and under, with low-distraction spaces, play-based learning areas, and a strong emphasis on routines and safety. Clinical Quality First – We prioritize outcomes, not billables. Our proprietary CareConnect platform streamlines everything from treatment planning to data collection so you can stay focused on care, not paperwork. Assent-Based and Play-Focused – We blend Practical Functional Assessment and Skills-Based Treatment into a compassionate, assent-based model, centered around joyful, meaningful learning. Real Work-Life Balance – Small caseloads, manageable schedules, and dedicated support teams mean no last-minute chaos and no burnout. You're Never Alone – With layered support from Clinical Directors, Area Clinical Directors, and our Clinical Excellence Team, you'll always have someone in your corner. No Operational Headaches – We handle the logistics. From scheduling to onboarding of technicians, our operations team keeps everything running smoothly behind the scenes. Career Growth on Your Terms – Whether you're mentoring the next generation of BCBAs, leading clinical training, or stepping into leadership, we support your growth. We Invest in You – From CEU stipends and paid CEU days to exclusive internal training events, we’re serious about keeping you sharp—and helping you level up. Perks That Actually Matter – Annual, all-inclusive vacation for two, early wage access, a company car or mileage reimbursement, and full benefits. No Non-Compete – We don’t believe in holding people back. If we’re not the right long-term fit, you’ll still leave better prepared for your next step. Your Role & Impact as a BCBA Lead ABA therapy delivery within a collaborative, in-center environment Provide daily support and guidance to Behavior Technicians to ensure clinical excellence Develop and implement assent-based, individualized behavior plans following ABA principles Engage parents during scheduled on-site training sessions to drive meaningful progress Maintain high-quality clinical services through regular supervision and data-driven decision-making At Life Skills Autism Academy, you’re not just supporting kids—you’re shaping futures. Join a team that believes in early intervention, compassionate care, and your potential as a leader. Apply today and help build the foundation for a child’s lifelong success. Centria 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, disability, or protected veteran status.", "summaryDescription" : "Early Intervention BCBA at Centria Autism. Skills: Behavioral analysis, Early intervention, ABA therapy. Conduct functional behavior assessments. 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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, "_score" : 644.9061, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c69c174d8ee00a09091f0", "title" : "Director, Business Systems and Integration", "company" : "SugarAI", "industry" : "iAPPS", "salary" : { "min" : 156000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Denver, CO", "locations" : [ "Denver, CO", "US - Remote" ], "timestamp" : "2026-06-16T01:46:29.674", "fingerprint" : "b39c887b623554dc5976dbf21a03121c862cd407e51edc85b00e2b35e5ae4e9b", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/sugarcrm/aadbfb45-9836-47a8-ac35-cdc0d73bba95/apply", "externalId" : "aadbfb45-9836-47a8-ac35-cdc0d73bba95", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "API", "professionalSkills" : [ "System design", "Integration strategy", "Demand management", "Capacity planning", "Roadmap development" ], "hardSkillsList" : [ "Data modeling", "Schema changes", "Integration governance" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Schema changes", "level" : "intermediate" }, { "name" : "Integration governance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Business systems, Integration architecture, AI-enabled capabilities", "majorSkillsList" : [ "Business systems", "Integration architecture", "AI-enabled capabilities" ], "coreResponsibilities" : "Lead team, Coach team, Develop team, Clarify roles, Build accountability culture, Build continuous improvement culture, Own CSI administration, Own CSI configuration, Own CSI roadmap, Oversee customer portals, Oversee partner portals, Serve as subject matter expert, Define system-of-record principles, Enforce data ownership standards, Enforce integration governance practices, Assess integration landscape, Establish integration strategy, Define target integration architecture, Implement integration patterns, Implement integration standards, Implement integration tooling, Evaluate integration tooling, Rationalize integration tooling, Make build vs. buy decisions, Establish integration inventory, Implement integration governance, Implement integration monitoring, Implement integration documentation, Establish predictable delivery model, Implement structured intake, Implement prioritization, Implement capacity planning, Implement delivery metrics, Develop 12-month roadmap", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "AI-driven CRM; Enterprise systems; Operational execution; Intelligent automation; Operational insights; AI-assisted processes; SaaS company", "domainList" : [ "ai-driven-crm", "enterprise-systems", "operational-execution", "intelligent-automation", "operational-insights", "ai-assisted-processes", "saas-company" ], "domainSpecificKnowledge" : [ "AI-driven CRM", "Enterprise systems", "Operational execution", "Intelligent automation", "Operational insights", "AI-assisted processes", "SaaS company" ], "documentationSkills" : "Documentation practices", "continuousLearning" : "Career & Personal Development Program", "qualificationsBasic" : "5+ years experience in business systems, 5+ years experience in integration architecture, Experience applying AI-assisted automation, Experience in a mid-size SaaS company", "qualificationsPreferred" : "Experience with iPaaS, Experience with workflow automation platforms, Experience with custom API-based approaches", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Description About SugarAI SugarAI is redefining CRM for the age of AI. We’re delivering on the original promise of CRM—turning fragmented customer and revenue signals into clear, prioritized action. Instead of more dashboards or surface-level insights, we help teams focus on what matters most and know exactly what to do next. More than two decades after our founding, we’re entering a new chapter with clarity and momentum—building intelligent, intuitive solutions that work within the flow of how teams actually sell and serve. We’re focused on solving complex, real-world challenges where relationships, context, and precision make all the difference. Our global team is united by a shared commitment to impact, ownership, and continuous growth. We create an environment where thoughtful ideas move quickly, where people are trusted to lead, and where flexibility supports how great work gets done. If you’re excited to help shape what’s next in AI-driven CRM—and build technology that drives real outcomes—we’d love to meet you. ## Where You Fit In As Director, Business Systems & Integration at SugarAI, you will report to the VP, IT and lead the team responsible for our internal business applications, integrations, and the platforms that connect them. You will bring structure, scalability, and reliability to how Sugar’s systems and data operate across the company. This role sits at the intersection of enterprise systems, integration architecture, and operational execution. You will modernize how systems connect, establish a clear integration strategy and governance model, and elevate the team’s ability to plan and deliver work with predictability and transparency. You will also help shape how AI-enabled capabilities are introduced across Sugar’s internal systems and operational workflows. In this role, you will ensure the business systems and integration architecture can support intelligent automation, operational insights, and scalable AI-assisted processes, while also advancing how the iApps team uses AI to improve its own delivery, documentation, testing, support, and operational effectiveness. This is a hands-on leadership role for someone who can operate both strategically and tactically setting direction while actively unblocking teams and driving execution. ## Impact You Will Make in the Role (Key Responsibilities) Impact You Will Make in the Role (Key Responsibilities): People Leadership & Team Development Lead, coach, and develop a tenured team through a period of operational transformation. Clarify roles, responsibilities, and ownership across the team. Build a culture of accountability and continuous improvement, with strong cross-functional collaboration. Business Systems Ownership (CSI and Related Platforms) Own the administration, configuration, and roadmap for CSI (Sugar’s internal implementation of Sugar Sell and Sugar Serve), ensuring it reliably supports our go-to-market processes and data quality standards. Oversee customer and partner portals, ensuring reliability, performance, and alignment with business requirements. Serve as the internal subject matter expert on the CSI data model, partnering closely with data and analytics teams to ensure schema changes are well understood and downstream systems remain reliable. Define and enforce system-of-record principles, data ownership standards, and integration governance practices across business applications to ensure operational data remains consistent, reliable, and scalable. Integration Strategy, Automation, and Platform Ownership Assess Sugar’s current integration landscape, including point-to-point APIs, embedded automations (e.g., Zapier/Tray), and manual processes, and establish a clear, scalable integration strategy. Define and implement a target integration architecture, including patterns, standards, and tooling that balance flexibility, reliability, and cost. Evaluate and rationalize integration tooling (which may include iPaaS, workflow automation platforms, or custom API-based approaches), making pragmatic build vs. buy decisions aligned to business needs. Establish and maintain a comprehensive integration inventory, ensuring every integration has clear business and technical ownership. Implement governance, monitoring, and documentation practices so that all system-to-system connections are observable, maintainable, and resilient to change. Delivery Execution, Planning, and Demand Management Establish a predictable and transparent delivery model for the iApps team by implementing structured intake, prioritization, capacity planning, and delivery metrics across defects, enhancements, and projects. Develop and maintain a 12-month roadmap for business systems and integrations, clearly communicating sequencing, dependencies, risks, and trade-offs. Drive adoption of AI-enabled operational workflows and tooling to improve team effectiveness across documentation, testing, support, issue triage, system analysis, and delivery execution. ## What You Will Bring (Qualifications) 10+ years of experience in enterprise business applications, systems administration, integration, or IT leadership roles, with at least 3 years leading teams and managing people in a senior leadership capacity. Demonstrated experience owning and administering CRM or enterprise business systems at the configuration, process, and data model level. Strong experience with enterprise integration strategy, APIs, automation platforms, and system interoperability in a SaaS environment. Proven ability to modernize fragmented systems or integration environments by introducing scalable governance, operating models, and clear ownership. Ability to operate strategically and tactically, setting direction while actively supporting execution. ## Preferred Quaifications Experience evaluating and implementing integration platforms, such as Workato, Boomi, MuleSoft, or equivalent API-first / automation-based approaches. Experience applying AI-assisted automation or tooling to improve engineering, business systems, or operational workflows. Experience in a mid-size SaaS company navigating growth, organizational change, and technology modernization. ## Additional Information We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a fluid and collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is close to what we’re looking for. We also know that diversity of background and thought makes for better problem solving and more creative thinking, which is why we're dedicated to adding new perspectives to the team. Benefits and Perks: Beyond a stellar work environment, friendly people, and inspiring work, we have some sweet benefits and perks: · Excellent healthcare package for you and your family · Savings and Investment – 401(k) match · Unlimited Paid Time Off · Paid Parental Leave · Online Legal Services (Rocket Lawyer) · Financial Planning Services (Origin) · Discounted Pet Insurance (Embrace Pet Insurance) · Corporate Benefit Program (Working Advantage). This benefit offers you exclusive travel and entertainment offers and special discounts that are not available to the general public · Health and Wellness Reimbursement Program · Travel Discounts · Educational Resources - Career & Personal Development Program · Employee Referral Bonus Program · We are a merit-based company - many opportunities to learn, excel and grow your career! If you require a reasonable accommodation to search for a job opening or submit an application, please call +1 (877) 842-7276 with your request and contact information. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. #LI-Hybrid", "summaryDescription" : "Director, Business Systems and Integration at SugarAI. Skills: Business systems, Integration architecture, AI-enabled capabilities. Lead team. Coach team", "postedDate" : "2026-06-11T22:31:51.080", "createdAt" : "2026-06-11T22:31:51.080", "lastUpdated" : "2026-06-16T01:46:29.674", "ingestTimestamp" : "2026-06-14T21:31:00.914", "mongoId" : "6a2c69c174d8ee00a09091f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 156000, "salaryAnnualMax" : 180000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Schema changes", "Integration governance", "Leadership", "Mentoring", "Business systems", "Integration architecture", "AI-enabled capabilities", "System design", "Integration strategy", "Demand management", "Capacity planning", "Roadmap development", "Roadmap planning", "AI-driven CRM", "Enterprise systems", "Operational execution", "Intelligent automation", "Operational insights", "AI-assisted processes", "SaaS company" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "_score" : 638.9256, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6c9f74d8ee00a091a2d0", "title" : "Senior Analyst, Trading & AI Enablement", "company" : "Connor, Clark & Lunn Private Capital Ltd. ", "industry" : "FinTech", "salary" : { "min" : 80000.0, "max" : 110000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada", "Vancouver", "British Columbia", "Canada" ], "timestamp" : "2026-06-15T08:47:06.760", "fingerprint" : "439ff7b80100237b790a0b7958ca91285e4fc5008748b1f5a304d064b2c8ebc8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pcm/jobs/4255052009", "externalId" : "4255052009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "MS Suite, Python, R, MATLAB, SQL, Bloomberg Terminal, Reuters Eikon, FactSet, Murex, Calypso", "professionalSkills" : [ "AI-assisted workflows", "ML models", "Finance deliverables" ], "hardSkillsList" : [ "CC data manipulation", "ML model validation", "ML model monitoring", "ML model documentation", "ML model versioning" ], "softSkillsList" : [ "Continuous improvement" ], "hardSkills" : [ { "name" : "CC data manipulation", "level" : "intermediate" }, { "name" : "ML model validation", "level" : "intermediate" }, { "name" : "ML model monitoring", "level" : "intermediate" }, { "name" : "ML model documentation", "level" : "intermediate" }, { "name" : "ML model versioning", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Continuous improvement" } ], "majorSkills" : "AI Enablement, Trading platforms, MLOps", "majorSkillsList" : [ "AI Enablement", "Trading platforms", "MLOps" ], "coreResponsibilities" : "Integrate AI tools, Modernize trading services, Use AI-assisted workflows, Deploy ML models, Operationalize ML models", "domainKnowledge" : "Investment management; Trading; Risk; Compliance; Insurance; Accounting; Financial instruments; Regulatory frameworks; Quantitative skills", "domainList" : [ "investment-management", "trading", "risk", "compliance", "insurance", "accounting", "financial-instruments", "regulatory-frameworks", "quantitative-skills" ], "domainSpecificKnowledge" : [ "Investment management", "Trading", "Risk", "Compliance", "Insurance", "Accounting", "Financial instruments", "Regulatory frameworks", "Quantitative skills" ], "toolProficiency" : [ "MS Suite", "Salesforce", "Charles River", "KDB", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Communication", "documentationSkills" : "Documentation", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Planning; Judgment; Decision-making", "qualificationsBasic" : "Bachelor's degree", "qualificationsPreferred" : "Experience with Salesforce, Experience with Charles River, Experience with KDB", "remoteFriendly" : true, "rawDescription" : "Interested in joining one of Canada’s top performing asset managers? We’re looking for a Senior Analyst for an existing vacancy on our Investment team to integrate AI tools within our trading and process platforms to modernize trading services for clients. The role will combine CC strong data manipulation skills, proficiency in MS Suite applications Experience using AI-assisted workflows to accelerate Finance deliverables, and experience deploying or operationalizing ML models (validation, monitoring, documentation, versioning) Experience with Salesforce, Charles River, KDB, would be an asset Bachelor’s degree with preference in Finance, Accounting, Economics, Engineering, Math, Computer Science, or similar discipline Functional/technical expertise, communication, collaboration skills Ownership, growth mindset, continuous improvement & innovation Planning, judgment & decision-making skills The salary range for this position is $80,000-$110,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process. #LI-HYBRID #LI-JB1 For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.  CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.  Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.", "summaryDescription" : "Senior Analyst, Trading & AI Enablement at Connor, Clark & Lunn Private Capital Ltd. . Skills: AI Enablement, Trading platforms, MLOps. Integrate AI tools. Modernize trading services", "postedDate" : "2026-06-14T09:47:32.597", "createdAt" : "2026-06-14T09:47:32.597", "lastUpdated" : "2026-06-15T08:47:06.760", "ingestTimestamp" : "2026-06-14T09:47:32.597", "mongoId" : "6a2c6c9f74d8ee00a091a2d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "CC data manipulation", "ML model validation", "ML model monitoring", "ML model documentation", "ML model versioning", "Continuous improvement", "AI Enablement", "Trading platforms", "MLOps", "AI-assisted workflows", "ML models", "Finance deliverables", "Investment management", "Trading", "Risk", "Compliance", "Insurance", "Accounting", "Financial instruments", "Regulatory frameworks", "Quantitative skills", "MS Suite", "Salesforce", "Charles River", "KDB", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 30, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 637.9649, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8b7c74d8ee00a0972f1e", "title" : "Program Manager, Talent & AI Enablement", "company" : "Headway", "industry" : "All Cost Centers", "salary" : { "min" : 115000.0, "max" : 179000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T12:07:41.673", "fingerprint" : "70a390a2243a55df14db301872360569ae54820d6468fcb0960cb3c307c29596", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/headway/ff51583c-75e8-4fa2-a5d3-8f05ea6da364/application", "externalId" : "ff51583c-75e8-4fa2-a5d3-8f05ea6da364", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Program management", "Process documentation", "Stakeholder management" ], "hardSkillsList" : [ "AI adoption", "Recruiter skill development", "Tool onboarding" ], "hardSkills" : [ { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "Recruiter skill development", "level" : "intermediate" }, { "name" : "Tool onboarding", "level" : "intermediate" } ], "majorSkills" : "Talent Acquisition, AI Enablement, Program Management", "majorSkillsList" : [ "Talent Acquisition", "AI Enablement", "Program Management" ], "coreResponsibilities" : "Design AI adoption programs, Enable TA team use AI, Build TA enablement programs, Manage TA enablement programs, Own hiring manager enablement, Own interviewer enablement, Define success metrics, Build dashboards, Connect TA programs to strategy", "teamCollaboration" : "Partner cross-functionally", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Talent Acquisition; Recruiter workflow", "domainList" : [ "talent-acquisition", "recruiter-workflow" ], "domainSpecificKnowledge" : [ "Talent Acquisition", "Recruiter workflow" ], "documentationSkills" : "Process documentation", "continuousLearning" : "Training and professional development", "problemSolvingSkills" : "Structure to ambiguity", "outcomesObjectives" : "Make enablement ROI visible", "qualificationsBasic" : "Owned enablement programs end-to-end, AI tools part of work, Structure to ambiguity, Worked alongside Talent Acquisition, Understand Recruiter workflow", "qualificationsPreferred" : "Experience with TA tooling, Experience with TA processes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About This Role Headway is hiring a Program Manager, Talent & AI Enablement to build the programs that make our TA team and hiring ecosystem more effective. This role sits at the intersection of two of the most important things happening at Headway right now: a significant tooling and process transformation in TA, and a company-wide commitment to AI adoption where every Headwegian is accountable to a measurable benchmark. You Will - Design and run AI adoption programs that enable the TA team to effectively use AI in their workflows - Build and manage TA enablement programs: Recruiter skill development, tooling onboarding, and process documentation that scales with a high-volume, fast-paced hiring environment - Own hiring manager and interviewer enablement end-to-end - Define success metrics for every program you own; building dashboards that make enablement ROI visible - Partner cross-functionally to connect TA programs to the broader company strategy You’d Be a Great Fit If - You’ve owned enablement or learning programs end-to-end - not just created the content, but designed the experience, managed the rollout, measured the impact, and iterated - AI tools are genuinely part of how you work today - you use them, you have opinions about them, and you can teach others to use them - You bring structure to ambiguity - You’ve worked in or closely alongside Talent Acquisition and understand the Recruiter’s workflow and what makes it harder or easier - You have a strong yet adaptable communication style with the ability to tailor your communication for different audiences Compensation and Benefits: The expected base pay range for this position is $115,000- $179,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. - Benefits offered include: - Equity compensation - Medical, Dental, and Vision coverage - HSA / FSA - 401K - Work-from-Home Stipend - Therapy Reimbursement - 16-week parental leave for eligible employees - Carrot Fertility annual reimbursement and membership - 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st - Flexible PTO - Employee Assistance Program (EAP) - Training and professional development [To be included if role is bonus eligible][Other compensation includes: discretionary bonuses and/or commission. Commission payments are monthly.] We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here. https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com http://findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.", "summaryDescription" : "Program Manager, Talent & AI Enablement at Headway. Skills: Talent Acquisition, AI Enablement, Program Management. Design AI adoption programs. 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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", 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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, "_score" : 631.1795, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305930f292fd229cf45a0d", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T08:35:46.305", "fingerprint" : "295aaeb5ba2d815c324ac9bd6817ef39fa3ffc9964079522a771c6d2df63e4f2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd/application", "externalId" : "2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards" ], "hardSkillsList" : [ "SQL", "System architecture" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems, LLM systems", "majorSkillsList" : [ "AI Engineering", "Systems", "LLM systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver", "outcomesObjectives" : "Automate fragmented market; Redefine entire industry; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience, Proven interest in LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record of taking ideas into products", "qualificationsPreferred" : "Management consulting experience, Technical product management experience at startup", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. 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Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T09:47:36.924", "fingerprint" : "5c5065cd651275b8207d363d9532283cbbbcb1a491f779ae2f82798459b2b1f5", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33592", "externalId" : "33592", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Business analysis", "Project management", "Strategic planning", "Policy implementation" ], "hardSkillsList" : [ "Project management", "Business analysis", "Strategic planning", "Policy implementation" ], "softSkillsList" : [ "Negotiation", "Facilitation" ], "hardSkills" : [ { "name" : "Project management", "level" : "intermediate" }, { "name" : "Business analysis", "level" : "intermediate" }, { "name" : "Strategic planning", "level" : "intermediate" }, { "name" : "Policy implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Negotiation" }, { "name" : "Facilitation" } ], "majorSkills" : "Project management, Interagency coordination, Early childhood programs", "majorSkillsList" : [ "Project management", "Interagency coordination", "Early childhood programs" ], "coreResponsibilities" : "Coordinate early childhood programs, Monitor program progress, Communicate with stakeholders, Manage ECIW, Manage Texas Early Learning Council, Develop goals and objectives, Develop action plans, Develop metrics, Convene early childhood staff leaders, Assist ECIW with project schedules, Assist ECIW with work plans, Assist ECIW with resource needs, Identify implementation risks, Identify implementation difficulties, Coordinate stakeholder engagement, Facilitate Texas Early Learning Council, Represent ECIW in meetings, Encourage multi-agency communication, Facilitate multi-agency coordination, Provide support for ECIW, Provide support for TELC, Provide support for Quad Agency Commission, Maintain awareness of program activities, Identify cross-agency communication opportunities, Identify cross-agency coordination opportunities, Identify cross-agency collaboration opportunities, Coordinate development communication tools, Coordinate dissemination communication tools, Perform other related work", "teamCollaboration" : "Cross-agency coordination; Work with early childhood leadership; Coordinate operations among agencies; Stakeholder engagement", "projectManagementSkills" : [ "Project management", "Strategic planning", "Policy implementation", "Risk identification", "Solution implementation", "Prioritization", "Time management" ], "domainKnowledge" : "Texas early childhood services; Early childhood programs", "domainList" : [ "texas-early-childhood-services", "early-childhood-programs" ], "domainSpecificKnowledge" : [ "Texas early childhood services", "Early childhood programs" ], "communicationSkills" : "Public speaking; Facilitation", "problemSolvingSkills" : "Identify project risks; Evaluate alternatives; Implement solutions", "specialRequirements" : "Texas resident required, Must submit to background check", "outcomesObjectives" : "Improve outcomes for families; Advance early childhood programs", "qualificationsBasic" : "Five years project management experience, Five years agency program oversight, Five years strategic planning implementation, One year TWC experience", "qualificationsPreferred" : "Extensive knowledge Texas early childhood services, Experience facilitating public-facing meetings, Led strategic planning activities, Led project management activities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The Texas Workforce Commission (TWC) connects people with careers across the state and supports working families through the provision of high-quality child care. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is the state’s lead agency for the federal Child Care and Development Block Grant and administers the Child Care and Development Fund (CCDF). The Child Care & Early Learning (CC&EL) Division is focused on helping children and families by increasing access to high-quality child care, promoting early learning, and fostering long-term self-sufficiency for families. CC&EL works closely with other state agencies that also serve young children, through an Early Childhood Interagency Workgroup (ECIW). This position is onsite and based at 1117 Trinity Street, Austin, TX. Ideal candidates will live in the Austin area or be willing to relocate to the Austin area. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A well-rounded and confident professional with extensive knowledge of Texas early childhood services, programs, and education. You are committed to a collaborative approach, supporting multiple state agencies who serve young children, in identifying statewide solutions that ensure the best outcomes for young children. You are comfortable facilitating public-facing meetings, both virtually and in person, and you have led strategic planning and project management activities in previous positions. WHAT YOU WILL DO: The Child Care and Early Learning Early Childhood Interagency Coordinator (Project Manager IV) performs advanced (senior-level) project management work supporting the ECIW, which is made up of staff from TWC, Texas Education Agency (TEA), and Texas Health and Human Services Commission (HHSC). The Early Childhood Interagency Coordinator (ECIC) is a shared cross-agency position that works for and closely with early childhood leadership at each of these agencies to coordinate operations among them. Work involves coordinating the planning and initiation of an array of early childhood programs and initiatives identified in strategic plans; monitoring the progress and implementation of programs and initiatives; and communicating regularly with project stakeholders, management, and other relevant parties. This position manages the ECIW and the Texas Early Learning Council (TELC). May direct, assign, and evaluate the work of project staff. This role will work under limited supervision, with considerable latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Develop goals, objectives, strategies, action plans, and metrics to monitor the coordinated efforts across state agencies to support early childhood programing and improve outcomes for families with young children. -Convene early childhood staff leaders from all three agencies, through the ECIW, to support and advance early childhood programs. Assist the ECIW in developing project schedules, work plans, and resource needs as well as identify potential implementation risks or difficulties. -Coordinate stakeholder engagement, including facilitation of the Texas Early Learning Council and represent the ECIW in meetings, conferences, panels, and committees, as requested. -Encourage communication and, when appropriate, facilitate coordination of multi-agency early childhood initiatives and programs among agencies, including data sharing and potential funding opportunities (e.g. grants). Provide ongoing support for the ECIW and the TELC. Provide support for the Quad Agency Child Care Initiative Commission on issues that intersect with ECIW and TELC work. -Maintain awareness of early childhood program activities across state agencies and proactively identify opportunities for cross-agency communication, coordination, and collaboration. -Coordinate development and dissemination of concrete communication tools to help stakeholders understand early childhood supports that are available across the various state agencies. -Perform other related work as assigned. YOU QUALIFY WITH: - Five years of full-time experience in project management work, business analysis, or project administration; or five years of full-time experience in the oversight of an agency program or in strategic planning and policy implementation. -Relevant academic credits may be applied toward experience qualifications for this position. - One year of full-time in-service TWC experience classified as a Project Manager III with regular status will satisfy the minimum qualifications. YOU ARE A GREAT FIT WITH: Knowledge of: -Early childhood education, early childhood intervention, home visiting or public health services for children (including mental health), preferably in a school district, regional educational service center, state or federal agency administering early childhood services, or an early childhood organization. -State and federal legislative and rulemaking processes -State and federal laws and regulations that govern early childhood services, including: -Portions of the following rules and laws that address early childhood services: -Texas Education Code -Texas Family Code, -Texas Government Code, -Texas Human Resources Code, -Texas Administrative Code -Individuals with Disabilities Education Act -Texas Infant and Toddler Guidelines -Texas Prekindergarten Guidelines -Child Care Development Block Grant -Texas Rising Star Quality Rating Improvement System Skill in: -Effective and professional verbal and written communication. -Monitoring and coordination of projects that require cross-agency or cross-program collaboration. -Grant research, application, and management. Ability to: -Communicate effectively, including communication with policy makers at the state and local level. -Analyze complex information and develop and evaluate policies, procedures, and guidelines related to this information. Collect and analyze a wide variety of data sources. Prepare complex reports and effective presentations. Identify project or implementation risks, evaluate alternatives, and implement effective solutions. Manage project activities by prioritizing and completing multiple projects simultaneously to meet deadlines. Establish strategic goals and objectives. -Demonstrate negotiation and facilitation skills, particularly related to coordination of work across departments or across state agencies. Exercise sound judgment in making critical decisions. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $6,377.50-$9,416.67/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. Please note that the selected applicant must submit to a criminal history background check. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Child Care and Early Learning Early Childhood Interagency Coordinator at Texas Workforce Commission. Skills: Project management, Interagency coordination, Early childhood programs. Coordinate early childhood programs. Monitor program progress", "createdAt" : "2026-06-14T00:36:38.247", "lastUpdated" : "2026-06-15T09:47:36.924", "ingestTimestamp" : "2026-06-14T00:36:38.247", "mongoId" : "69ce5df99bc74574cb671a4f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Project management", "Business analysis", "Strategic planning", "Policy implementation", "Negotiation", "Facilitation", "Interagency coordination", "Early childhood programs", "Risk identification", "Solution implementation", "Prioritization", "Time management", "Texas early childhood services" ], "skillCount" : 13, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 621.3191, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "6a10b02958b93c861e1edc39", "title" : "Data Automation Engineer (AI Enablement)", "company" : "Mercedes-Benz Cars", "industry" : "Manufacturing", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Automation Engineer in the UK automotive industry, adjusted for Milton Keynes's cost of living and Mercedes-Benz's company size." }, "location" : "United Kingdom-England-Milton Keynes", "locations" : [ "United Kingdom-England-Milton Keynes" ], "timestamp" : "2026-06-15T05:04:02.636", "fingerprint" : "af0886e96b8592b241f1ac89de0d60eed864e3c4a0e89fc1c782b150085d2b89", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=883496", "externalId" : "883496", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milton Keynes", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.0406502,-0.7594092" } ], "locationText" : "Milton Keynes, England, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, Azure, AI, ML, DWH, Lakehouse, CI/CD, LLM", "professionalSkills" : [ "Data solutions", "Data pipelines", "Data models", "Data operations", "Data governance", "Data quality", "Data lineage", "System architecture" ], "hardSkillsList" : [ "Data integration", "Data transformation", "Automated data pipelines", "AI-driven automation", "Data modeling", "Performance optimization", "Observability", "Automated controls", "Platform enhancements", "Orchestration", "Scheduling", "Monitoring", "AI use cases", "Optimised queries", "Ethical standards" ], "softSkillsList" : [ "Agile", "Independent contributor", "Confident communicator" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Automated data pipelines", "level" : "intermediate" }, { "name" : "AI-driven automation", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Automated controls", "level" : "intermediate" }, { "name" : "Platform enhancements", "level" : "intermediate" }, { "name" : "Orchestration", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "AI use cases", "level" : "intermediate" }, { "name" : "Optimised queries", "level" : "intermediate" }, { "name" : "Ethical standards", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Agile" }, { "name" : "Independent contributor" }, { "name" : "Confident communicator" } ], "majorSkills" : "Data Automation, AI Enablement, Cloud Data Solutions, ML Initiatives", "majorSkillsList" : [ "Data Automation", "AI Enablement", "Cloud Data Solutions", "ML Initiatives" ], "coreResponsibilities" : "Design data pipelines in Azure, Build data pipelines in Azure, Automate data pipelines in Azure, Optimize pipelines and integrations, Deliver high-quality datasets, Deliver data models, Monitor daily data operations, Troubleshoot daily data operations, Enhance daily data operations, Improve performance and observability, Optimize data flows, Enhance monitoring, Enhance alerting, Strengthen resilience, Support data governance, Support data compliance, Contribute to platform enhancements, Advance data strategy, Explore new technologies, Explore automation opportunities", "teamCollaboration" : "Collaborative team player; Cross-functional teams", "projectManagementSkills" : [ "Agile", "Scrum", "Kanban", "Lean" ], "domainKnowledge" : "Cloud-native architecture; Data integration patterns; LLM use cases; Data-driven operations", "domainList" : [ "cloud-native-architecture", "data-integration-patterns", "llm-use-cases", "data-driven-operations" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Data integration patterns", "LLM use cases", "Data-driven operations" ], "toolProficiency" : [ "Azure Data Factory", "Databricks" ], "communicationSkills" : "Clear communicator; Confident communicator; Actionable insights", "documentationSkills" : "Documentation", "continuousLearning" : "Encourage development; Training; Knowledge", "innovationCreativity" : "Innovation; Pushing boundaries; Exploring new technologies; Automation opportunities", "problemSolvingSkills" : "Analytical; Solving complex problems; Troubleshooting; Proactive", "outcomesObjectives" : "Scalable analytics; AI-ready data; Data-driven operations; Secure data pipelines; Reliable data pipelines; Efficient data ingestion; Efficient data transformation; Efficient data delivery; Improved speed; Improved scalability; Improved reliability; High-quality datasets; Proactively strengthening resilience; Optimising data flows; Enhancing monitoring; Automated preventative rules; Scalable foundations; AI-ready foundations", "qualificationsBasic" : "Advanced SQL skills, Advanced Python skills, Hands-on experience with data integration tools, Hands-on experience with data transformation tools, Experienced in Agile ways of working", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Data Automation Engineer (AI Enablement) About Us At Mercedes-Benz Cars, we’re passionate about what we do. Whether we’re exploring ways to make motoring more sustainable, or pushing the boundaries of technology, innovation underpins everything we do. It’s an exciting time to join us, why not be part of the journey? How you’ll play your part We’re looking for someone who is agile and a team player, who understands complex data environments of analytics platforms and can bring their solid experience in in end ‐ to ‐ end data solutions. In this role you will design, operate , and continually improve secure, reliable, and automated data pipelines and platform components that enable scalable analytics, AI‑ready data, and data‑driven operations across MBUK. What you’ll do: · Design, build, and automate end ‑ to ‑ end data pipelines in Azure , ensuring secure, reliable, and efficient ingestion, transformation, delivery, and documentation. · Continuously optimise pipelines and integrations, improving speed, scalability, and reliability, including the use of AI ‑ driven automation. · Deliver high ‑ quality datasets and data models (DWH, Lakehouse) that power analytics, reporting, and AI use cases. · Monitor, troubleshoot, and enhance daily data operations, resolving issues quickly and proactively strengthening resilience. · Improve performance and observability, optimising data flows and enhancing monitoring, alerting, and automated preventative rules. · Support data governance and compliance, ensuring data quality, lineage, archiving, masking, encryption, and automated controls. · Contribute to platform ‑ level enhancements, improving CI/CD, orchestration, scheduling, and monitoring for scalable, AI ‑ ready foundations. · Advance the MBUK data strategy, exploring new technologies and automation opportunities. What experience and knowledge you’ll bring : · Designs and delivers cloud ‑ native or on ‑ prem data solutions. · Leads and coordinates AI/ML initiatives, including identifying LLM use cases and integrating them into business and data workflows. · Advanced SQL and Python skills, writing highly optimised queries across large datasets to create AI ‑ ready data. · Collaborative team player and confident independent contributor. · Proactive, taking ownership to deliver practical solutions. · Strong knowledge of technical ecosystems, including data integration patterns and system architecture fundamentals. · Clear, confident communicator across all audiences. · Analytical, accurate, and skilled in solving complex problems. · Hands ‑ on experience with data integration and transformation tools (e.g., Azure Data Factory, Databricks). · Transforms complex analysis into clear, actionable insights. · Experienced in Agile ways of working (Scrum, Kanban, Lean). At Mercedes-Benz, we operate with integrity and therefore you are required to maintain ethical standards in accordance with our polices and adhere to the Company's Compliance Guidelines and Policies including Anti-Bribery and all relevant competition law. What’s in it for you As well as the opportunity to work in a dynamic environment, with a great team and culture, we’ll offer you a competitive salary and discretionary bonus structure. We also hope you’ll love our products as much as we do, with access to our colleague car schemes. On top of that, you’ll be able to join our pension scheme and you’ll get a flexible benefit pot that can be used to find the benefits that are right for you. We are pleased to be able to offer a hybrid working approach – achieving a great balance between remote and office working. We’re here to support you – we offer access to colleague wellbeing resources, including an Employee Assistance Programme and Mental health First Aiders, as well as flexible opportunities to support work life balance. We’ll also encourage your development, with the training and knowledge you need to reach your potential. Who we are Through the doors of Mercedes-Benz, you’ll find a passionate team working to deliver cutting-edge IT solutions that drive innovation and efficiency across our business areas. We know that to keep this team motivated, we need to ensure that everyone has equal opportunity. We celebrate a culture of appreciation and respect, where everyone is valued for who they are. We believe our backgrounds, experiences and cultures contribute to our shared experience and shape who we are and what we do. The diversity of our colleagues reflects the diversity of our customers. This diversity is the driving force behind our ideas. What’s next? Once you click apply, we’ll take you through to the Mercedes-Benz Group careers portal – this is our parent company site, so don’t worry, you’re in safe hands. Here, you’ll find a short application form to complete. Please be assured that we’re here to support you throughout the recruitment process and beyond, and reasonable adjustments are available to any candidates who need them. We’re also open to working flexibly and are happy to discuss flexible working options. Due to UK legislation, we need to let you know that we can only accept applications from those with the right to work in the UK. Managing your data We care about your personal data. The General Data Protection Regulation provides you with more control and by submitting an application to us, we consider this to be an agreement to process your personal data in support of our recruitment and selection process. Data categories that we process in relation to your application are the ones that you provided as part of the application process. We process your personal data in relation to the application, in accordance with the legal requirements. Recipients of your personal data within our company are the managers of the specialist unit in charge of filling the position and the responsible colleagues from HR. Your application data is held within our secure application tracking system called Taleo – you’ll be given access to a candidate zone in this system where you can monitor and manage your application and see status updates. We will communicate with you, by email or phone throughout the recruitment process so that we can keep you updated and inform you of your progress through the recruitment process. You can also seek ‘job alerts’ once you are registered in Taleo and it’s possible your details may be returned in searches we conduct for new positions and we may contact you by email to let you know about them. We limit the storage of your data to the necessary period. Contact us as careers@mercedes-benz.com for further information. If you have any questions about any matter relating to data protection or the personal data that we process about you for the purpose of personnel recruiting, please contact the Mercedes-Benz UK Data Protection Officer at the following address: Mercedes-Benz UK Ltd, Legal Department, Tongwell, Milton Keynes, MK15 8BA or datacompliance@mercedes-benz.com. Mercedes-Benz UK Limited", "summaryDescription" : "Data Automation Engineer (AI Enablement) at Mercedes-Benz Cars. Skills: Data Automation, AI Enablement, Cloud Data Solutions, ML Initiatives. Design data pipelines in Azure. Build data pipelines in Azure", "createdAt" : "2026-06-14T08:38:06.084", "lastUpdated" : "2026-06-15T05:04:02.636", "ingestTimestamp" : "2026-06-14T08:38:06.084", "mongoId" : "6a10b02958b93c861e1edc39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data integration", "Data transformation", "Automated data pipelines", "AI-driven automation", "Data modeling", "Performance optimization", "Observability", "Automated controls", "Platform enhancements", "Orchestration", "Scheduling", "Monitoring", "AI use cases", "Optimised queries", "Ethical standards", "Agile", "Independent contributor", "Confident communicator", "Data Automation", "AI Enablement", "Cloud Data Solutions", "ML Initiatives", "Data solutions", "Data pipelines", "Data models", "Data operations", "Data governance", "Data quality", "Data lineage", "System architecture", "Scrum", "Kanban", "Lean", "Cloud-native architecture", "Data integration patterns", "LLM use cases", "Data-driven operations", "Azure Data Factory", "Databricks" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 620.8168, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305098f292fd229cef28cb", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T10:13:47.018", "fingerprint" : "85e2e68876cd1c84d147f18b93f9a9215ab1a18aeb0621aa39c7592671baf329", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd/application", "externalId" : "2d5d7915-36dd-4bc8-97f5-b0eb6cc49cbd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards" ], "hardSkillsList" : [ "SQL", "System architecture" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems Management, LLM Systems", "majorSkillsList" : [ "AI Engineering", "Systems Management", "LLM Systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven hypothesis validation", "outcomesObjectives" : "Automate fragmented market; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience, Proven interest in LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record of taking ideas into products", "qualificationsPreferred" : "Management consulting experience, Technical product management experience at startup", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems Management, LLM Systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:29:41.118", "lastUpdated" : "2026-06-16T10:13:47.018", "ingestTimestamp" : "2026-06-16T00:29:41.118", "mongoId" : "6a305098f292fd229cef28cb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "SQL", "System architecture", "AI Engineering", "Systems Management", "LLM Systems", "Systems thinking", "Technical translation", "Prompt strategy", "Evaluation frameworks", "Platform standards", "Roadmap development", "Car ownership industry", "Modern LLM systems", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 615.63367, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30904cf292fd229c0b254a", "title" : "Technical Program Manager - AI & Data Systems", "company" : "Abnormal AI", "industry" : "Technology", "salary" : { "min" : 110900.0, "max" : 159500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote - USA", "locations" : [ "Remote - USA" ], "timestamp" : "2026-06-16T12:45:29.411", "fingerprint" : "faf61ab3a00dfaf0675711dc2aa19850a6b3a480595c2a8c9b9b845e97af841c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abnormal.ai/careers/jobs/7773951003?gh_jid=7773951003", "externalId" : "7773951003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "AI, Machine Learning, Data Systems, Python, Java, C++, SQL, NoSQL, Cloud Platforms, AWS, GCP, Azure, CI/CD, Docker, Kubernetes", "professionalSkills" : [ "Program management", "Technical program management", "Stakeholder management", "Risk management", "Cross-functional leadership" ], "hardSkillsList" : [ "Project planning", "Resource allocation", "Budget management", "Technical documentation", "Process improvement" ], "hardSkills" : [ { "name" : "Project planning", "level" : "intermediate" }, { "name" : "Resource allocation", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" } ], "majorSkills" : "AI, Data Systems, Program Management", "majorSkillsList" : [ "AI", "Data Systems", "Program Management" ], "coreResponsibilities" : "Define and drive AI/ML and data systems roadmap, Manage end-to-end execution of technical programs, Identify and mitigate program risks, Collaborate with engineering and product teams, Communicate program status to stakeholders, Improve program management processes, Ensure successful delivery of AI/ML initiatives, Oversee data infrastructure projects", "teamCollaboration" : "Engineering teams; Product management; Data science teams; Executive stakeholders", "projectManagementSkills" : [ "Agile", "Scrum", "Roadmap planning", "Risk management" ], "domainKnowledge" : "AI/ML; Data systems; Large-scale data platforms; Cloud infrastructure", "domainList" : [ "ai-ml", "data-systems", "large-scale-data-platforms", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "AI/ML", "Data systems", "Large-scale data platforms", "Cloud infrastructure" ], "toolProficiency" : [ "JIRA", "Confluence", "Gantt charts" ], "communicationSkills" : "Program status reporting; Technical presentations", "documentationSkills" : "Technical documentation; Program documentation", "problemSolvingSkills" : "Risk mitigation; Root cause analysis", "outcomesObjectives" : "Deliver AI/ML programs on time; Improve data system efficiency; Ensure successful product launches", "qualificationsBasic" : "5+ years of experience in program management, Experience with AI/ML and data systems, Experience managing complex technical projects, Experience with software development lifecycle", "qualificationsPreferred" : "Master's degree in a technical field, Experience with large-scale data platforms, Experience with cloud platforms (AWS, GCP, Azure), Experience with CI/CD pipelines, Experience with Agile methodologies", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the Role Abnormal AI is hiring a Technical Program Manager to lead delivery of high-impact programs across our AI Platform and Data Systems teams. You'll own strategic initiatives from CIO leadership — spanning AI governance, the data foundation for AI agents, AI outcomes analytics, and new agent and platform rollouts — and turn them into structured, well-tracked programs. You'll define processes where none exists, drive valuable outcomes, and keep executive stakeholders aligned and ahead of surprises. This role sits at the intersection of engineering execution and leadership visibility, requiring someone who thrives in ambiguity, earns credibility through follow-through, and instinctively reaches for AI to solve real delivery challenges. Who you are An experienced Program Manager who takes initiative where the goal is set but the path isn't — and builds the structure around it: milestones, owners, risks, and a clear route to delivery. Energized by high-stakes, high-visibility work — you want your programs to matter, and you hold yourself accountable when they don' t. Action-biased and momentum-driven — you don't wait for perfect clarity to begin building structure or driving toward an outcome. Equally comfortable in a room with a C-level executive and in the weeds with an engineering team lead — you adjust your communication without losing precision. A proactive problem-solver who surfaces blockers and risks before they become escalations. Experienced leading projects and programs in highly technical environments — you extract delivery signal from engineering deep-dives, connect technical decisions to program risk, and push back on sequencing when it matters. Disciplined about visibility: stakeholders always know where things stand, and surprises don't happen on your programs. A trusted partner who earns credibility through follow-through — you build relationships that make cross-functional coordination feel easy. Calm and effective in ambiguity — you create structure where none exists and adapt when priorities shift. Comfortable using AI to solve problems and streamline workflows — for yourself and your team — and actively looking for new ways to put it to work. What you will do Own program delivery for high-impact AI Platform and Data Systems initiatives, from initiation through completion — including scope definition, milestone planning, dependency and escalation management, and stakeholder alignment. Translate ambiguous mandates from IT leadership into structured, trackable programs with clear owners and success criteria. Serve as the coordination layer for high-impact, cross-functional programs — working in lockstep with engineering leaders and teams, ensuring dependencies are visible and delivery stays on track. Maintain executive-ready status reporting for AI Data Systems leadership and C-level stakeholders, ensuring no surprises and consistent confidence in program and portfolio health. Identify, escalate, and mitigate risks across programs before they impact delivery timelines or stakeholder trust. Partner with technical team-leads to understand delivery capacity, technical dependencies, and sequencing trade-offs. Use AI tools in your own program execution — and build lightweight workflows, skills, or automations that make status reporting, risk tracking, and stakeholder updates faster and more reliable. Support roadmap planning and resource forecasting at the program and portfolio level. Drive retrospectives and continuous improvement practices, and contribute to building a high-performing, AI-native program management function within the CIO organization. Must Haves 3-4 years of program or project management experience leading complex, cross-functional technical initiatives — ideally in a high-growth SaaS or enterprise tech environment. Demonstrated ability to take an early-stage idea — where the goal is clear but the path isn't — and build it into structured delivery with measurable outcomes. Proven ability to move fast and drive velocity — keeping programs progressing through ambiguity and unknowns. Track record of managing executive-level stakeholder relationships, including C-level communication, with poise and precision. Strong experience working alongside technical team leads in AI, engineering, data, or platform contexts — you can follow the technical conversation, ask the right questions, and push back when sequencing or assumptions need challenging. Familiarity with AI tools and an automation instinct — you naturally ask \"how can I use AI to do this?\" and have applied it to improve how you work, whether personally or professionally. Excellent command of project tracking and program management tools (Linear, Jira, ServiceNow, Asana, or equivalent). Exceptional communicator across technical and non-technical audiences — written updates, verbal alignment, and executive readouts are all in your wheelhouse. Demonstrated ability to drive accountability and alignment across teams without formal authority. Bachelor's degree in Computer Engineering, Information Technology, Business Administration, Information Security or a related field Nice to Haves Hands-on experience using agentic AI tools (Claude Code, Codex, Cowork, or similar) to build skills, automations, or multi-step workflows — not just to use AI passively. Familiarity with AI/ML platform delivery, data engineering workflows, data warehousing, or MLOps practices. PMP, CSM, or SAFe certification. Experience at a high-growth cybersecurity or SaaS company. Experience in a remote-first, distributed team environment. Exposure to cloud infrastructure (AWS, GCP, or Azure) and how it intersects with data and AI platform programs. Experience with Agile/Scrum ceremonies and sprint-level delivery in addition to program-level ownership. #LI-ME1 Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $110,900—$159,500 USD Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.", "summaryDescription" : "Technical Program Manager - AI & Data Systems at Abnormal AI. Skills: AI, Data Systems, Program Management. Define and drive AI/ML and data systems roadmap. 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Berkeley, California, United States; Portland, Maine, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "technicalSkills" : "Python, Bash, Google Workspace, AWS, GCP", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "SaaS provisioning", "Security best practices", "Compliance requirements", "AI enablement" ], "hardSkillsList" : [ "Automation", "Compliance", "AI enablement", "IT support", "IT workflows", "Onboarding processes", "Offboarding processes", "SOC 2 controls", "IT policies", "IT procedures", "Security practices", "Access controls", "Least-privilege principles", "Customer IT questionnaires", "Security questionnaires", "Vendor onboarding", "AI tools", "Data handling", "AI usage guidelines", "AI risks", "AI limitations", "AI use cases", "Scripting", "No-code tools", "Low-code tools" ], "softSkillsList" : [ "Systems thinker", "Pragmatic", "Clear communicator", "Ownership mindset" ], "hardSkills" : [ { "name" : "Automation", "level" : "intermediate" }, { "name" : "Compliance", "level" : "intermediate" }, { "name" : "AI enablement", "level" : "intermediate" }, { "name" : "IT support", "level" : "intermediate" }, { "name" : "IT workflows", "level" : "intermediate" }, { "name" : "Onboarding processes", "level" : "intermediate" }, { "name" : "Offboarding processes", "level" : "intermediate" }, { "name" : "SOC 2 controls", "level" : "intermediate" }, { "name" : "IT policies", "level" : "intermediate" }, { "name" : "IT procedures", "level" : "intermediate" }, { "name" : "Security practices", "level" : "intermediate" }, { "name" : "Access controls", "level" : "intermediate" }, { "name" : "Least-privilege principles", "level" : "intermediate" }, { "name" : "Customer IT questionnaires", "level" : "intermediate" }, { "name" : "Security questionnaires", "level" : "intermediate" }, { "name" : "Vendor onboarding", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" }, { "name" : "Data handling", "level" : "intermediate" }, { "name" : "AI usage guidelines", "level" : "intermediate" }, { "name" : "AI risks", "level" : "intermediate" }, { "name" : "AI limitations", "level" : "intermediate" }, { "name" : "AI use cases", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "No-code tools", "level" : "intermediate" }, { "name" : "Low-code tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Systems thinker" }, { "name" : "Pragmatic" }, { "name" : "Clear communicator" }, { "name" : "Ownership mindset" } ], "majorSkills" : "IT Operations, Automation, Compliance, AI Enablement", "majorSkillsList" : [ "IT Operations", "Automation", "Compliance", "AI Enablement" ], "coreResponsibilities" : "Provision user accounts, Manage user accounts, Deprovision user accounts, Handle IT support requests, Identify manual workflows, Design automated solutions, Build scripts, Build integrations, Build workflows, Streamline IT operations, Improve onboarding processes, Improve offboarding processes, Support SOC 2 controls, Support SOC 2 audits, Support compliance processes, Maintain IT policies, Maintain IT procedures, Improve IT policies, Improve IT procedures, Partner with engineering teams, Enforce security practices, Respond to questionnaires, Provide documentation, Provide evidence, Support security reviews, Support vendor onboarding, Act as liaison, Identify AI opportunities, Establish AI guidelines, Enforce AI guidelines", "teamCollaboration" : "Internal teams; External stakeholders; City partners; County partners; State partners; Federal partners; Engineering teams; Customer IT departments; Internal technical teams; External compliance stakeholders", "domainKnowledge" : "SOC 2; Public-sector requirements; Cloud infrastructure; NIST; FedRAMP; CJIS; GDPR", "domainList" : [ "soc-2", "public-sector-requirements", "cloud-infrastructure", "nist", "fedramp", "cjis", "gdpr" ], "domainSpecificKnowledge" : [ "SOC 2", "Public-sector requirements", "Cloud infrastructure", "NIST", "FedRAMP", "CJIS", "GDPR" ], "toolProficiency" : [ "Google Workspace", "MDM", "Vanta" ], "communicationSkills" : "Clear communicator; Technical concepts; Compliance concepts", "documentationSkills" : "Audit-ready documentation", "innovationCreativity" : "Design better systems", "problemSolvingSkills" : "Systems thinker", "outcomesObjectives" : "Scale IT operations; Modernize IT operations; Improve efficiency; Meet public-sector requirements; Build automation-first IT", "qualificationsBasic" : "3–7+ years IT operations, 3–7+ years IT consulting, 3–7+ years systems administration, Hands-on IAM experience, Hands-on SaaS provisioning experience, Familiarity with SOC 2 controls, Familiarity with SOC 2 audits, Familiarity with security best practices, Experience supporting compliance requirements, Scripting or automation skills, Ability to create documentation", "qualificationsPreferred" : "Experience in high-growth startup, Experience responding to security questionnaires, Experience responding to vendor risk assessments, Exposure to NIST, Exposure to FedRAMP, Exposure to CJIS, Exposure to GDPR, Experience governing AI tools", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "JOB TITLE: IT CONSULTANT (AUTOMATION, COMPLIANCE & AI ENABLEMENT) Location: Remote OK, Hybrid preferred (New York, Berkeley, Portland ME) Type: Contract - 10-20 hrs/week for 3+ months, with possibility to extend. ABOUT THE ROLE We are seeking an IT Consultant to help scale and modernize our internal and customer-facing IT operations. This role is focused on automating manual IT processes, supporting compliance (SOC 2 and public-sector requirements), and responsibly leveraging AI tools to improve efficiency without compromising security. You’ll work at the intersection of IT operations, security, and customer enablement—supporting both internal teams and external stakeholders (including city, county, state, and federal partners). This is a hands-on role for someone who can both execute and design better systems as we grow. KEY RESPONSIBILITIES IT Operations & Automation - Provision, manage, and deprovision user accounts across systems (Google Workspace, SaaS tools, etc.) - Handle day-to-day incoming IT support requests - Identify manual, repetitive IT workflows and design automated solutions - Build and maintain scripts, integrations, or workflows to streamline IT operations - Improve onboarding/offboarding processes for speed, accuracy, and auditability Compliance & Security (SOC 2 + Public Sector) - Support SOC 2 controls, audits, and ongoing compliance processes - Maintain and improve IT policies, procedures, and documentation - Partner with engineering teams to enforce good security practices including access controls and least-privilege principles - Respond to customer IT/security questionnaires (including government entities) - Ensure systems and processes meet requirements for public-sector customers Customer-Facing IT Support - Provide documentation and evidence required by customer IT departments - Support security reviews and vendor onboarding processes - Act as a liaison between internal technical teams and external compliance stakeholders AI Enablement (Responsible Use) - Identify opportunities to leverage AI tools to improve IT workflows and documentation - Establish and enforce guidelines for safe and compliant AI usage (data handling, access control, privacy) - Evaluate AI tools with a clear understanding of risks, limitations, and appropriate use cases REQUIRED QUALIFICATIONS - 3–7+ years of experience in IT operations, IT consulting, or systems administration - Hands-on experience with identity and access management (IAM) and SaaS provisioning - Familiarity with SOC 2 controls, audits, and security best practices - Experience supporting compliance requirements for enterprise or public-sector customers - Strong scripting or automation skills (e.g., Python, Bash, or no-code/low-code tools) - Ability to create clear, audit-ready documentation PREFERRED QUALIFICATIONS - Experience working in a high-growth startup (Series A–C) - Familiarity with tools such as Google Workspace, MDM, Vanta, and cloud infrastructure like AWS, GCP etc. - Experience responding to security questionnaires (RFPs, vendor risk assessments) and flags - Exposure to frameworks beyond SOC 2 (e.g. NIST, FedRAMP, CJIS, GDPR) - Experience implementing or governing AI tools in a business environment KEY TRAITS WE’RE LOOKING FOR - Systems thinker: You don’t just execute tasks—you redesign and automate them to scale - Detail-oriented: You understand that compliance and security require precision - Pragmatic: You balance speed with risk in a startup environment - Clear communicator: You can translate technical and compliance concepts for non-technical stakeholders - Ownership mindset: You see gaps and fix them without waiting WHY THIS ROLE MATTERS This role is critical to enabling the company to scale Forerunner into regulated environments. You’ll directly impact our ability to win and support public-sector customers while building a modern, automation-first IT function. Compensation is ~$70–$85/hr, depending on experience.", "summaryDescription" : "IT CONSULTANT (AUTOMATION, COMPLIANCE & AI ENABLEMENT). Skills: IT Operations, Automation, Compliance, AI Enablement. Provision user accounts. 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Partner with engineers; Technical translator between engineering and organization", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven hypothesis validation", "outcomesObjectives" : "Automate fragmented market; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record taking complex ideas into products", "qualificationsPreferred" : "Experience with SQL", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Technical Product Manager, AI Engineering & Systems at Jerry.ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:28:54.134", "lastUpdated" : "2026-06-16T08:40:45.090", "ingestTimestamp" : "2026-06-16T00:28:54.134", "mongoId" : "6a305098f292fd229cef28d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Roadmap development", "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 604.1744, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d3df774d8ee00a0b32706", "title" : "Enablement Systems & Automation Specialist", "company" : "LinkedIn", "industry" : "Internet", "salary" : { "min" : 68000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Enablement Systems & Automation Specialist in Dublin, Ireland, adjusted for the technology industry and company size." }, "location" : "Dublin, D, IE", "locations" : [ "Dublin", "D", "IE" ], "timestamp" : "2026-06-15T08:55:07.992", "fingerprint" : "5c7858cd907f2452ae6272e8c6748c46451151f82f184a39eecb4337432ad551", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LinkedIn3/744000131857925-enablement-systems-automation-specialist", "externalId" : "744000131857925", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dublin", "country" : "Ireland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "53.3493795,-6.2605593" } ], "locationText" : "Dublin, Ireland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "APIs, AI", "professionalSkills" : [ "Systems thinking", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Systems integration", "Workflow automation", "AI adoption", "AI operationalisation", "Data analysis", "Reporting" ], "hardSkillsList" : [ "Automation building", "Integration building", "AI workflow building", "Curriculum management", "Event management", "Process elimination", "Platform configuration", "Data flow management", "Technical documentation", "System governance", "Knowledge resource creation", "Best practice socialisation" ], "hardSkills" : [ { "name" : "Automation building", "level" : "intermediate" }, { "name" : "Integration building", "level" : "intermediate" }, { "name" : "AI workflow building", "level" : "intermediate" }, { "name" : "Curriculum management", "level" : "intermediate" }, { "name" : "Event management", "level" : "intermediate" }, { "name" : "Process elimination", "level" : "intermediate" }, { "name" : "Platform configuration", "level" : "intermediate" }, { "name" : "Data flow management", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "System governance", "level" : "intermediate" }, { "name" : "Knowledge resource creation", "level" : "intermediate" }, { "name" : "Best practice socialisation", "level" : "intermediate" } ], "majorSkills" : "Systems automation, Integration, AI workflows, Stakeholder influence", "majorSkillsList" : [ "Systems automation", "Integration", "AI workflows", "Stakeholder influence" ], "coreResponsibilities" : "Design automations, Build automations, Maintain automations, Build integrations, Maintain integrations, Build AI-driven workflows, Maintain AI-driven workflows, Automate learner experience, Manage curriculum workflows, Manage event workflows, Identify process elimination opportunities, Evaluate AI tools, Operationalise AI tools, Partner with Information Security, Partner with IT, Partner with engineering, Partner with system owners, Secure access for initiatives, Secure approvals for initiatives, Secure technical support for initiatives, Navigate governance requirements, Navigate organisational processes, Influence stakeholders, Maintain momentum, Support platform configuration, Support platform governance, Support platform integrity, Contribute to reporting infrastructure, Contribute to data flows, Build technical documentation, Build system governance standards, Build knowledge resources, Scale best practices, Socialise best practices", "teamCollaboration" : "Cross-functional work; Global stakeholders", "domainKnowledge" : "Enablement technology; Learning programs; GTM organisation; Enablement ecosystem; Enterprise complexity; Learning and development technology; Enablement Tech Operations", "domainList" : [ "enablement-technology", "learning-programs", "gtm-organisation", "enablement-ecosystem", "enterprise-complexity", "learning-and-development-technology", "enablement-tech-operations" ], "domainSpecificKnowledge" : [ "Enablement technology", "Learning programs", "GTM organisation", "Enablement ecosystem", "Enterprise complexity", "Learning and development technology", "Enablement Tech Operations" ], "toolProficiency" : [ "Power Automate", "Zapier", "LMS" ], "documentationSkills" : "Technical documentation; System governance standards; Knowledge resources", "qualificationsBasic" : "2+ years learning technologist experience, Experience building automations or integrations, Experience with learning technology tools", "qualificationsPreferred" : "Documentation skills, Analytical skills, Problem-solving skills, Implementing automations through learning technology, Developing automations through learning technology, Scaling automations through learning technology, Familiarity with AI tooling, Prompt engineering experience, Agentic workflows experience, Influence cross-functional stakeholders, Deliver outcomes without direct authority, Navigating security approval processes, Navigating governance approval processes, Navigating access approval processes, Comfort operating in ambiguity, Driving progress with limited oversight, Supporting large-scale enablement programs, Supporting sales performance programs", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. The Go-To-Market Enablement (GTME) team empowers our customer-facing teams through world-class enablement experiences and infrastructure. This role sits within Enablement Tech Operations, a function of the GTME Centre of Excellence, and is critical to the operational delivery and performance insights of our global learning programs. About the Role: We are looking for an Enablement Systems & Automation Specialist who thinks in systems, builds with intention, and can navigate the organisational complexity of a large enterprise to turn ideas into operational reality. This is a role with genuine scope and real visibility — one where you will have the opportunity to shape how enablement technology scales across a global GTM organisation. This is not a Learning Management System (LMS) administration role. It is a technical building role — one that treats enablement platforms as parts of a connected operating system and focuses on identifying manual, repeatable work and engineering solutions that eliminate it. The primary focus is automation and integration: from automating the learner experience through curriculum and event management workflows, to expanding proven frameworks and driving operational efficiency across the enablement ecosystem. Equally important is the ability to navigate enterprise complexity. Success in this role requires strong influencing skills to move initiatives through internal governance, access approvals, and policy holder requirements — often without direct authority over the teams involved. ETOps is a function that values craft, rigour, and momentum. If you are a learning and development technologist who wants to build things that matter and leave a real mark on how a world-class enablement organisation operates, this is the role for you. Responsibilities: Automation & Systems Building * Design, build, and maintain automations, integrations, and AI-driven workflows that reduce manual effort and scale enablement operations * Automate the learner experience through curriculum and event management workflows, reducing manual effort and improving consistency across lines of business * Identify high-impact opportunities for process elimination, not just process improvement * Evaluate and operationalise AI tools that improve how ETOps and the broader enablement function works Stakeholder & Governance Navigation * Partner with Information Security, IT, engineering, and system owners to secure access, approvals, and technical support for initiatives * Navigate governance requirements and organisational processes to move complex, cross-functional work forward * Influence stakeholders and maintain momentum in environments with competing priorities * Persist through ambiguity and structural complexity to deliver business outcomes Platform Operations & Reporting * Support the configuration, governance, and integrity of learning technology and enablement tools across the stack * Contribute to reporting infrastructure and data flows that surface enablement performance insights for stakeholders and leadership * Build and maintain technical documentation, system governance standards, and knowledge resources * Scale and socialise best practices across multiple workstreams and global stakeholders ## Qualifications Basic Qualifications * 2+ years of experience as a learning and development technologist, enablement technology specialist, or in a related learning operations or systems role * Demonstrated experience building automations or integrations using tools such as Power Automate, Zapier, APIs, or equivalent * Experience working with learning technology and enablement tools, including Learning Management Systems (LMS), and comparable enterprise platforms Preferred Qualifications * Strong documentation, analytical, and problem-solving skills * Demonstrated experience implementing, developing, and scaling automations through learning technology and enablement platforms * Familiarity with AI tooling, prompt engineering, or agentic workflows * Demonstrated ability to influence cross-functional stakeholders and deliver outcomes without direct authority * Experience navigating security, governance, and access approval processes in a large enterprise environment * Comfort operating in ambiguity and driving progress with limited oversight * Experience supporting large-scale enablement or sales performance programs Suggested Skills * Workflow Automation * Systems Integration * Learning Management Systems (LMS) * AI Tool Adoption & Operationalisation * Stakeholder Management & Influence * Data Analysis & Reporting ## Additional Information Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.", "summaryDescription" : "Enablement Systems & Automation Specialist at LinkedIn. Skills: Systems automation, Integration, AI workflows, Stakeholder influence. Design automations. Build automations", "postedDate" : "2026-06-12T09:46:29.000", "createdAt" : "2026-06-14T05:03:33.184", "lastUpdated" : "2026-06-15T08:55:07.992", "ingestTimestamp" : "2026-06-14T05:03:33.184", "mongoId" : "6a2d3df774d8ee00a0b32706", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Automation building", "Integration building", "AI workflow building", "Curriculum management", "Event management", "Process elimination", "Platform configuration", "Data flow management", "Technical documentation", "System governance", "Knowledge resource creation", "Best practice socialisation", "Systems automation", "Integration", "AI workflows", "Stakeholder influence", "Systems thinking", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Systems integration", "Workflow automation", "AI adoption", "AI operationalisation", "Data analysis", "Reporting", "Enablement technology", "Learning programs", "GTM organisation", "Enablement ecosystem", "Enterprise complexity", "Learning and development technology", "Enablement Tech Operations", "Power Automate", "Zapier", "LMS" ], "skillCount" : 40, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 600.40485, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e8174d8ee00a08e480a", "title" : "AI Enablement & Solutions Lead", "company" : "K18 Hair", "industry" : "Biotech", "salary" : { "min" : 120000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T01:40:56.431", "fingerprint" : "40af448a44b00ebb3c8100d2beee4f79fe01e68ffb08759514324c37b41774ac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/k18inc/jobs/5224116008", "externalId" : "5224116008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" }, { "city" : "Tel Aviv", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" }, { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States; Tel Aviv, Israel; United States", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Lead", "technicalSkills" : "Python, APIs, Data pipelines, AI agents, LLM, Prompt design, Embeddings, RAG, Databricks, Azure, Azure OpenAI, Azure ML, Azure DevOps, DevOps", "professionalSkills" : [ "Product thinking", "Business thinking", "Technical requirements", "Measurable impact" ], "hardSkillsList" : [ "AI solutions", "LLM solutions", "Data platforms", "DevOps practices" ], "softSkillsList" : [ "Communication", "Influence", "Leadership" ], "hardSkills" : [ { "name" : "AI solutions", "level" : "intermediate" }, { "name" : "LLM solutions", "level" : "intermediate" }, { "name" : "Data platforms", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication" }, { "name" : "Influence" }, { "name" : "Leadership" } ], "teamCollaboration" : "Cross-functionally; Non-technical stakeholders; Formal authority", "domainKnowledge" : "Biotech haircare; AI-forward culture; Responsible AI; Data privacy; Bias awareness; Human oversight", "domainList" : [ "biotech-haircare", "ai-forward-culture", "responsible-ai", "data-privacy", "bias-awareness", "human-oversight" ], "domainSpecificKnowledge" : [ "Biotech haircare", "AI-forward culture", "Responsible AI", "Data privacy", "Bias awareness", "Human oversight" ], "toolProficiency" : [ "LangGraph", "CrewAI", "AutoGen", "Databricks", "Azure OpenAI", "Azure ML", "Azure DevOps" ], "communicationSkills" : "Explain complex AI concepts; Non-technical stakeholders", "innovationCreativity" : "Fearless innovation; Push boundaries", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "High-impact AI use cases identified; AI use cases shipped; AI use cases actively used; AI embedded in workflows; Teams measurably more efficient; Teams making better decisions; Clear AI framework exists; Scalable AI framework exists; Responsible AI framework exists", "qualificationsBasic" : "5-8+ years technical role, 5-8+ years product role, 5-8+ years analytics role, Hands-on AI experience, Hands-on LLM experience, Comfortable in Python, Working with APIs, Working with data pipelines, Track record concept to solution, Define problems clearly, Prioritize decisively, Translate business needs, Focus on measurable impact", "qualificationsPreferred" : "Hands-on AI agents experience, Hands-on agentic workflows experience, Working knowledge LLMs, Working knowledge prompt design, Working knowledge embeddings, Working knowledge RAG, Hands-on Databricks experience, Familiarity with Azure, Basic DevOps practices familiarity", "rawDescription" : "At K18, we're about hair freedom for all–engineered with biotech. We are on a mission to liberate expression. To make the impossible possible with the right technology. To build a community of forward thinkers, risk takers, and rabble rousers. To bring fearless innovation forward and push boundaries past where we thought they could go. Position Overview K18 is a biotech haircare company on a mission to unlock hair’s full potential through science. We’re a fast-moving, category-defining brand — and we’re building an AI-forward culture where smart automation and thoughtful tooling help our teams move faster and focus on the work that matters most. We're looking for an AI Enablement iterate until solutions are actually delivering value Build AI Guardrails and Best Practices (In partnership with VP of IT and VP of Data and Analytics) Define clear standards for when and how AI should be used across the organization Ensure responsible AI use: data privacy, output quality, bias awareness, and appropriate human oversight Standardize tools and approaches to reduce fragmentation and technical debt What We're Looking For Core Requirements 5-8+ years in a technical, product, or analytics role Proven, hands-on experience building AI or LLM-based solutions, not just familiarity with the concepts Comfortable in Python and working with APIs and data pipelines Track record of taking ideas from concept to working solution Product & Business Thinking Ability to define problems clearly and prioritize decisively to focus on high-impact work Translates business needs into technical requirements, and vice versa Focused on measurable impact, not just building interesting technology AI & Technical Skills Hands-on experience building AI agents or agentic workflows (e.g., LangGraph, CrewAI, AutoGen, or similar frameworks) is strongly preferred Working knowledge of LLMs, prompt design, embeddings, and/or retrieval-augmented generation (RAG) Hands-on experience with Databricks or a similar modern data platform is strongly preferred Familiarity with Azure (e.g., Azure OpenAI, Azure ML, or Azure DevOps) and basic DevOps practices (CI/CD, version control, deployment pipelines) is a plus Communication & Influence Explains complex AI concepts clearly to non-technical stakeholders Comfortable working cross-functionally and driving alignment without formal authority Advocates for simple, practical solutions and helps the team avoid over-engineering What Success Looks Like High-impact AI use cases are identified, shipped, and actively used across teams AI is embedded in workflows, not sitting in a demo environment Teams are measurably more efficient and making better decisions with AI support A clear, scalable, and responsible framework for AI exists across the organization A Note on This Role This is a hands-on builder role. You will be expected to prototype and build solutions yourself, not solely define requirements, manage vendors, or run workshops. The right candidate is equally comfortable in a business stakeholder meeting and a Databricks notebook. Salary Range: up to $120,000-$145,000 (in USD $) This range represents the low and high end of the anticipated base salary range for this position. The actual base salary will depend on numerous factors such as: experience, knowledge and skills, and if the location of the job changes. Stay safe and protect your personal information. Be cautious of suspicious messages from individuals pretending to be recruiters or company representatives. We will never ask for money, credit card details, or any form of payment during the recruitment process. Official job opportunities are listed only on the K18 Careers page and trusted job boards. All official offers are sent via DocuSign following a verbal offer — never through text or unofficial emails. If in doubt, please ignore the message and contact us directly. EEO Statement K18 is proud to be an equal opportunity employer and is 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. For more information, please see Know Your Rights: Workplace Discrimination is Illegal. If you are an individual with a disability and need an accommodation in order to apply for a job listing, please contact us at recruiting@k18hair.com. Privacy K18 takes your privacy seriously. For more information please review our general Privacy Notice.", "summaryDescription" : "AI Enablement & Solutions Lead at K18 Hair", "postedDate" : "2026-06-12T21:59:37.769", "createdAt" : "2026-06-12T21:59:37.769", "lastUpdated" : "2026-06-15T01:40:56.431", "ingestTimestamp" : "2026-06-12T21:59:37.769", "mongoId" : "6a2c5e8174d8ee00a08e480a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI solutions", "LLM solutions", "Data platforms", "DevOps practices", "Communication", "Influence", "Leadership", "Product thinking", "Business thinking", "Technical requirements", "Measurable impact", "Biotech haircare", "AI-forward culture", "Responsible AI", "Data privacy", "Bias awareness", "Human oversight", "LangGraph", "CrewAI", "AutoGen", "Databricks", "Azure OpenAI", "Azure ML", "Azure DevOps" ], "skillCount" : 24, "jobCategory" : "other", "jobSubcategory" : "data-science-and-analytics", "dataQualityScore" : 0.8888889, "_score" : 596.4122, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech" }, { "id" : "6a2cec4b74d8ee00a0a797bd", "title" : "Senior Business Systems Analyst", "company" : "EarnIn", "industry" : "FinTech", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Systems Analyst in Mexico City, Mexico, adjusted for the FinTech industry and company size." }, "location" : "Mexico City, Mexico City, Mexico", "locations" : [ "Mexico City", "Mexico City", "Mexico" ], "timestamp" : "2026-06-16T06:49:07.889", "fingerprint" : "f2df365403eb556be0379fd8f47cc0f33fdd159237a0c7dfde906113d3b537d6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/earnin/jobs/7895727", "externalId" : "7895727", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Workday Studio, EIB, Core Connectors, Workday Web Services, APIs, XML, JSON, CSV, REST, SOAP, SFTP, SQL", "professionalSkills" : [ "System design", "Data analysis", "Data integrity", "Data flow", "Data management", "Data pipelines", "Data quality", "Anomaly detection", "Root cause analysis" ], "hardSkillsList" : [ "Integration development", "Data transformation", "Data mapping", "Bulk data operations", "Automated testing", "Reporting" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Integration development", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data mapping", "level" : "intermediate" }, { "name" : "Bulk data operations", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Workday integrations, Data management, System design, AI-enabled solutions", "majorSkillsList" : [ "Workday integrations", "Data management", "System design", "AI-enabled solutions" ], "coreResponsibilities" : "Own Workday integrations end-to-end, Drive reliable data flow, Drive scalable system design, Elevate architecture standards, Bridge technical and business stakeholders, Enable high-quality user experiences, Design Workday integrations, Build Workday integrations, Maintain Workday integrations, Ensure accurate data flow, Ensure secure data flow, Ensure timely data flow, Support reporting, Support automation, Support AI-enabled insights, Support scalable system design, Partner with HRIS, Partner with IT, Partner with Finance, Partner with Payroll, Partner with Core HCM architects, Partner with external vendors, Design integrations, Build integrations, Test integrations, Maintain integrations, Manage integrations, Ensure data integrity, Monitor integrations, Troubleshoot integration failures, Resolve data discrepancies, Develop reporting, Maintain reporting, Develop data feeds, Maintain data feeds, Develop pipelines, Maintain pipelines, Identify issues using logs, Identify issues using reporting, Identify issues using automated alerts, Act as a bar raiser, Promote best practices, Drive architectural decisions, Identify automation solutions, Implement automation solutions, Identify AI-enabled solutions, Implement AI-enabled solutions, Improve data quality, Improve anomaly detection, Improve operational efficiency, Partner with engineering teams, Partner with data teams, Support AI-ready data pipelines, Support cross-functional testing, Support validation efforts, Partner with functional teams, Enable effective test plans, Enable issue identification, Contribute to user experience, Ensure data accuracy, Ensure system reliability, Partner with Core HCM architects, Partner with business process administrators, Ensure cohesive system design, Translate technical concepts, Align solutions with business needs, Ensure integrations meet security standards, Ensure integrations meet privacy standards, Ensure integrations meet compliance standards, Manage secure data transfers, Manage authentication methods", "teamCollaboration" : "Bridge technical and business stakeholders; Partner with HRIS; Partner with IT; Partner with Finance; Partner with Payroll; Partner with Core HCM architects; Partner with external vendors; Partner with engineering teams; Partner with data teams; Partner with functional teams; Partner with business process administrators", "projectManagementSkills" : [ "Scalable system design", "System design" ], "domainKnowledge" : "Earned wage access; HR platforms; Payroll platforms; Benefits platforms; Finance systems; Identity management; Data warehouses; HR data governance", "domainList" : [ "earned-wage-access", "hr-platforms", "payroll-platforms", "benefits-platforms", "finance-systems", "identity-management", "data-warehouses", "hr-data-governance" ], "domainSpecificKnowledge" : [ "Earned wage access", "HR platforms", "Payroll platforms", "Benefits platforms", "Finance systems", "Identity management", "Data warehouses", "HR data governance" ], "toolProficiency" : [ "Workday Studio", "EIB", "Core Connectors", "Workday Web Services", "APIs", "Okta", "ADP", "Bswift", "Navia", "Pigment", "NetSuite", "Zip", "Navan", "Python", "Dbt" ], "communicationSkills" : "Translate technical concepts", "documentationSkills" : "Well-documented systems", "continuousLearning" : "Learning and development stipend", "innovationCreativity" : "AI-enabled solutions", "problemSolvingSkills" : "Troubleshoot failures; Resolve data discrepancies; Identify issues; Root cause analysis; Execute action plans", "outcomesObjectives" : "Reliable, high-performing integrations; Accurate, timely, and secure data delivery; Reduced manual effort through automation; Reduced manual effort through intelligent workflows; Measurable cost savings; Scalable, well-documented systems; Improved data quality; Improved user experience", "qualificationsBasic" : "4+ years of experience with Workday integrations, Experience integrating Workday with systems such as: ADP / global payroll vendors, Experience integrating Workday with systems such as: Okta/identity management, Experience integrating Workday with systems such as: Greenhouse / ATS, Experience integrating Workday with systems such as: Benefits providers, Experience integrating Workday with systems such as: Finance systems, Experience with XML, Experience with JSON, Experience with CSV, Experience with REST / SOAP APIs, Experience with SFTP, SQL and data analysis skills", "qualificationsPreferred" : "Familiarity with AI/ML concepts or tools applied to data workflows, Experience with HR data governance, Experience working with or supporting AI-enabled data platforms, pipelines, or analytics tools, Exposure to tools like Python, Exposure to tools like dbt, Exposure to modern data platforms, 2+ years of experience working with a Workday implementation partner", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY Own Workday integrations end-to-end, driving reliable data flow and scalable system design. Elevate architecture standards while bridging technical and business stakeholders. Enable high-quality user experiences through automated testing, reporting, and AI-driven insights. The Workday Integrations & Data Specialist is responsible for designing, building, and maintaining integrations between Workday and internal or third-party systems. This role ensures accurate, secure, and timely data flow across HR, payroll, finance, IT, and benefits platforms while supporting reporting, automation, AI-enabled insights, and scalable system design. This role partners closely with HRIS, IT, Finance, Payroll, Core HCM architects, and external vendors to ensure Workday functions as a reliable system of record within a cohesive technology ecosystem. This is a remote position, though it could also be a hybrid role from our Mexico City office as part of our expanding site. EarnIn offers excellent benefits for our employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View headquarters. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position. WHAT YOU'LL DO Workday Integrations & Data Management Design, build, test, and maintain Workday integrations using tools such as EIB, Core Connectors, Workday Studio, and APIs Manage integrations across payroll, benefits, identity management, finance systems, data warehouses, and other HR platforms Ensure data integrity through transformation logic, mapping, and bulk data operations Monitoring, Reporting & Data Delivery Monitor integrations, troubleshoot failures, and resolve data discrepancies Develop and maintain reporting, data feeds, and pipelines to support HR, Finance, and business intelligence platforms Proactively identify issues using logs, reporting, and automated alerts Architecture, Automation & AI Act as a bar raiser for integration and data architecture, promoting best practices in scalability, performance, cost efficiency, and user experience Drive architectural decisions that balance cost, performance, and end-user experience Identify and implement automation and AI-enabled solutions to improve data quality, anomaly detection, and operational efficiency Partner with engineering and data teams to support AI-ready data pipelines Testing, Validation & User Experience Support cross-functional testing and validation efforts through automated reporting, data checks, and failure detection Partner with functional teams (e.g., Talent, Payroll, Benefits) to enable effective test plans and issue identification Contribute to a high-quality user experience by ensuring data accuracy and system reliability across workflows Collaboration & Communication Partner with Core HCM architects and business process administrators across SKUs including Talent and Advanced Compensation, to ensure cohesive, end-to-end system design Translate complex technical concepts into clear insights for non-technical audiences Collaborate across HR, IT, Finance, and vendors to align solutions with business needs Security & Compliance Ensure integrations meet security, privacy, and compliance standards Manage secure data transfers and authentication methods across systems WHAT WE'RE LOOKING FOR 4+ years of experience with Workday integrations and tools such as: Workday Studio, EIB, Core Connectors, Workday Web Services / APIs Experience integrating Workday with systems such as: ADP / global payroll vendors Okta/identity management Greenhouse / ATS Benefits providers (e.g., Navia, Bswift) Finance systems (e.g., Pigment, NetSuite, Zip, Navan) Data formats: XML, JSON, CSV Integration technologies: REST / SOAP APIs, SFTP SQL and data analysis skills Familiarity with AI/ML concepts or tools applied to data workflows (e.g., anomaly detection, automation, or data enrichment) Experience with data validation and troubleshooting Strong ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders Strong problem-solving ability, experience with uncovering root causes, and executing action plans rapidly and thoughtfully. Experience with HR data governance Experience working with or supporting AI-enabled data platforms, pipelines, or analytics tools Exposure to tools like Python, dbt, or modern data platforms is a plus 2+ years of experience working with a Workday implementation partner (e.g., Topbloc, Deloitte, Accenture) SUCCESS METRICS Reliable, high-performing integrations with minimal failures Accurate, timely, and secure data delivery across systems Reduced manual effort through automation and intelligent workflows Measurable cost savings driven by optimized architecture and efficient data processing Scalable, well-documented systems that support business growth Improved data quality and user experience through proactive monitoring and validation #LI-Remote #LI-Hybrid At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.", "summaryDescription" : "Senior Business Systems Analyst at EarnIn. Skills: Workday integrations, Data management, System design, AI-enabled solutions. Own Workday integrations end-to-end. Drive reliable data flow", "postedDate" : "2026-06-14T20:22:21.647", "createdAt" : "2026-06-14T20:22:21.647", "lastUpdated" : "2026-06-16T06:49:07.889", "ingestTimestamp" : "2026-06-14T20:22:21.647", "mongoId" : "6a2cec4b74d8ee00a0a797bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Integration development", "Data transformation", "Data mapping", "Bulk data operations", "Automated testing", "Reporting", "Problem-solving", "Workday integrations", "Data management", "System design", "AI-enabled solutions", "Data analysis", "Data integrity", "Data flow", "Data pipelines", "Data quality", "Anomaly detection", "Root cause analysis", "Scalable system design", "Earned wage access", "HR platforms", "Payroll platforms", "Benefits platforms", "Finance systems", "Identity management", "Data warehouses", "HR data governance", "Workday Studio", "EIB", "Core Connectors", "Workday Web Services", "APIs", "Okta", "ADP", "Bswift", "Navia", "Pigment", "NetSuite", "Zip", "Navan", "Python", "Dbt" ], "skillCount" : 42, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 596.32806, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c799174d8ee00a0941e63", "title" : "Senior AI Engineer, Finance Systems", "company" : "Fanatics Collectibles", "industry" : "Retail", "salary" : { "min" : 150000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T06:08:27.837", "fingerprint" : "156e58f4370a4a1edc6530632c534c1b93f6098f572dc95fce18a86bad5438a1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/fanaticscollectibles/jobs/4206398009", "externalId" : "4206398009", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, LLMs, Python, Oracle, Snowflake, Sigma, Airtable, Notion", "professionalSkills" : [ "Business partnership", "Problem solving", "Technical execution", "Rapid iteration", "Workflow optimization", "Intelligent tooling", "Systems thinking" ], "hardSkillsList" : [ "AI application development", "Financial processes", "Operational priorities" ], "hardSkills" : [ { "name" : "AI application development", "level" : "intermediate" }, { "name" : "Financial processes", "level" : "intermediate" }, { "name" : "Operational priorities", "level" : "intermediate" } ], "majorSkills" : "AI, LLMs, Automation", "majorSkillsList" : [ "AI", "LLMs", "Automation" ], "coreResponsibilities" : "Partner with Strategic Finance and business teams, Identify inefficiencies and bottlenecks, Identify opportunities for AI-enabled solutions, Rapidly prototype solutions, Implement internal tools, Implement workflows, Implement automations, Implement dashboards, Implement operational systems, Build AI-native solutions, Leverage LLMs, Leverage intelligent automation, Leverage workflow orchestration, Leverage modern AI tooling, Improve operational speed, Improve visibility, Improve decision-making, Build integrations, Build connectors, Streamline workflows, Automate handoffs, Centralize information, Translate business problems into technical solutions, Develop fluency in business context, Develop fluency in financial processes, Develop fluency in operational priorities, Collaborate with stakeholders, Iterate quickly, Refine solutions, Work with engineering teams, Transition solutions to production, Evaluate emerging AI technologies, Experiment with AI tools, Experiment with AI frameworks, Improve internal capabilities, Improve operational leverage, Operate as technical partner, Shape solution strategy, Shape implementation priorities", "teamCollaboration" : "Business function teams; Strategic Finance; Finance stakeholders; Operations stakeholders; Technology stakeholders; Broader engineering teams", "domainKnowledge" : "Finance systems; Financial processes; Enterprise environments", "domainList" : [ "finance-systems", "financial-processes", "enterprise-environments" ], "domainSpecificKnowledge" : [ "Finance systems", "Financial processes", "Enterprise environments" ], "toolProficiency" : [ "Slack", "Microsoft 365" ], "innovationCreativity" : "AI-native builder", "problemSolvingSkills" : "Open-ended problem solving; Practical problem-solving; Simplify complex challenges", "outcomesObjectives" : "Create immediate business value; Drive measurable business impact; Improve operational speed; Improve visibility; Improve decision-making; Streamline workflows; Automate handoffs; Centralize information; Create leverage through automation; Create leverage through workflow optimization; Create leverage through intelligent tooling; Improve internal capabilities; Improve operational leverage", "qualificationsBasic" : "Demonstrated experience building and shipping software, Hands-on experience with modern AI tools, Experience rapidly prototyping and deploying business-facing technical solutions", "qualificationsPreferred" : "Prior exposure to finance or enterprise environments is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "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. Senior AI Engineer, Finance Systems – Fanatics Collectibles Reporting to Finance Leadership and partnering directly with Strategic Finance and business function teams across the company, the Forward-Deployed AI Engineer will serve as an embedded AI-native builder — identifying high-impact problems and rapidly delivering practical technology solutions that create immediate business value. This is a highly hands-on role for someone who thrives in ambiguity, enjoys open-ended problem solving, and operates with a strong builder mentality. The ideal candidate is deeply fluent in modern AI capabilities, comfortable working across evolving technology stacks, and motivated by creating leverage through automation, workflow optimization, and intelligent tooling. Success in this role requires a balance of technical execution, business partnership, rapid iteration, and practical problem-solving. Solutions built in this role may range from lightweight operational tools and AI-enabled workflows to scalable systems that are later transitioned to broader engineering teams for long-term production support. Responsibilities: Partner directly with Strategic Finance and operational business teams to identify inefficiencies, bottlenecks, and high-impact opportunities for AI-enabled solutions. Rapidly prototype and implement internal tools, workflows, automations, dashboards, and operational systems that drive measurable business impact. Build AI-native solutions that leverage LLMs, intelligent automation, workflow orchestration, and modern AI tooling to improve operational speed, visibility, and decision-making. Build integrations and connectors across the tools and platforms each function relies on — including Slack, Microsoft 365, Oracle, Snowflake, Sigma, Airtable, and Notion — to streamline workflows, automate handoffs, and centralize information. Translate ambiguous business problems into practical technical solutions with a strong focus on speed, usability, and value creation. Quickly develop fluency in the business context, financial processes, and operational priorities of each function you support — enabling independent problem identification without hand-holding. Collaborate with finance, operations, and technology stakeholders to iterate quickly and refine solutions based on real-world feedback and evolving business needs. Work closely with broader engineering and technology teams to transition high-value solutions into scalable, production-ready systems when appropriate. Evaluate and experiment with emerging AI technologies, tools, and frameworks to continuously improve internal capabilities and operational leverage. Operate as a trusted technical partner to business leaders, helping shape solution strategy and implementation priorities. Qualifications & Experience: Demonstrated experience building and shipping software, automations, internal tools, or AI-enabled solutions — we care about what you’ve built and the impact it had, not how many years you’ve been doing it. Strong hands-on experience with modern AI tools, LLMs, agentic workflows, and practical AI application development. Experience rapidly prototyping and deploying business-facing technical solutions in fast-paced or ambiguous environments. Strong proficiency in modern programming languages and development frameworks such as Python, JavaScript/TypeScript, Node.js, or similar technologies. Experience integrating APIs, operational platforms, databases, and third-party business systems. Demonstrated ability to independently identify problems, architect solutions, and drive implementation with minimal oversight. Experience building dashboards, workflow automations, reporting tools, or operational systems that improve business processes and decision-making. Strong understanding of AI-assisted development workflows and modern productivity tooling. Ability to balance quick experimentation with thoughtful technical judgment and scalability considerations. Ability to quickly internalize financial processes, business metrics, and operational context — translating business problems into technical solutions without hand-holding. Prior exposure to finance or enterprise environments is a plus Skills & Abilities: AI-native mindset with strong curiosity around emerging technologies and practical AI applications. Strong builder mentality with a bias toward execution, iteration, and business impact. Comfortable operating in highly ambiguous, evolving, and fast-moving environments. Ability to simplify complex operational challenges into intuitive technical solutions. Strong communication and collaboration skills working directly with business stakeholders and leadership teams. High ownership mindset with the ability to independently drive projects from concept through implementation. Practical systems thinker who can balance speed, flexibility, and long-term value. Entrepreneurial, resourceful, and motivated by creating operational leverage through technology. 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 The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit https://benefitsatfanatics.com/ NYC Salary Range $150,000—$200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy.", "summaryDescription" : "Senior AI Engineer, Finance Systems at Fanatics Collectibles. Skills: AI, LLMs, Automation. Partner with Strategic Finance and business teams. Identify inefficiencies and bottlenecks", "postedDate" : "2026-06-14T19:17:59.814", "createdAt" : "2026-06-14T19:17:59.814", "lastUpdated" : "2026-06-16T06:08:27.837", "ingestTimestamp" : "2026-06-14T19:17:59.814", "mongoId" : "6a2c799174d8ee00a0941e63", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "AI application development", "Financial processes", "Operational priorities", "AI", "LLMs", "Automation", "Business partnership", "Problem solving", "Technical execution", "Rapid iteration", "Workflow optimization", "Intelligent tooling", "Systems thinking", "Finance systems", "Enterprise environments", "Slack", "Microsoft 365" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 589.43744, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c735774d8ee00a0932e29", "title" : "Senior AI Enablement Engineer", "company" : "MUFG Investor Services", "industry" : "Financial Services", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior AI Enablement Engineer in Limassol, Cyprus, adjusted for FinTech industry and company size." }, "location" : "Limassol, Limassol, CY", "locations" : [ "Limassol", "Limassol", "CY" ], "timestamp" : "2026-06-15T05:40:31.190", "fingerprint" : "12562e46b9d9853e97a719df4fce6d06a6686858788589ed3aade7241c6107ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/MUFGInvestorServices/744000131887229-senior-ai-enablement-engineer", "externalId" : "744000131887229", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Limassol", "state" : "Limassol", "country" : "Cyprus", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "34.6852901,33.0332657" } ], "locationText" : "Limassol, Limassol, Cyprus", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "TypeScript, JavaScript, Vue.js, Node.js, Python, AWS", "professionalSkills" : [ "System design", "Platform standards", "Engineering enablement", "Developer experience" ], "hardSkillsList" : [ "Automated testing", "Code reviews", "CI/CD", "Production readiness", "RAG", "Prompt design", "Workflow design" ], "softSkillsList" : [ "Autonomy", "Ownership" ], "hardSkills" : [ { "name" : "Automated testing", "level" : "intermediate" }, { "name" : "Code reviews", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Production readiness", "level" : "intermediate" }, { "name" : "RAG", "level" : "intermediate" }, { "name" : "Prompt design", "level" : "intermediate" }, { "name" : "Workflow design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomy" }, { "name" : "Ownership" } ], "majorSkills" : "AI Enablement, Developer Experience, Platform Engineering, AI Governance", "majorSkillsList" : [ "AI Enablement", "Developer Experience", "Platform Engineering", "AI Governance" ], "coreResponsibilities" : "Own AI enablement capabilities, Deliver AI enablement capabilities, Improve how engineering teams use AI tools, Design internal tools, Build internal tools, Design workflows, Build workflows, Design templates, Build templates, Design automation, Build automation, Design integrations, Build integrations, Create engineering standards, Maintain engineering standards, Create guidance, Maintain guidance, Create reusable patterns, Maintain reusable patterns, Help teams adopt AI tools, Understand delivery pain points, Translate pain points into solutions, Build AI-assisted coding capabilities, Integrate AI-assisted coding capabilities, Build AI-assisted documentation capabilities, Integrate AI-assisted documentation capabilities, Build AI-assisted testing capabilities, Integrate AI-assisted testing capabilities, Build AI-assisted code review capabilities, Integrate AI-assisted code review capabilities, Build AI-assisted onboarding capabilities, Integrate AI-assisted onboarding capabilities, Build knowledge retrieval capabilities, Integrate knowledge retrieval capabilities, Contribute to AI governance implementation, Translate policy into workflows, Translate security expectations into workflows, Support observability for AI adoption, Support measurement for AI adoption, Partner with platform teams, Partner with architecture teams, Partner with AppSec teams, Partner with infrastructure teams, Ensure AI tools integrated safely, Coach engineers, Support engineers, Operate with high autonomy", "teamCollaboration" : "Engineering teams; Platform teams; Security teams; Architecture teams; Product teams; AI stakeholders; Cross-functional teams", "projectManagementSkills" : [ "Discovery to delivery" ], "domainKnowledge" : "AI-assisted development; Enterprise software delivery; AI governance; Cloud-native architecture; AI agents; RAG; Prompt design; Workflow design; AI observability; Developer productivity measurement; Frontend architecture patterns; Scalable frontend architecture; Regulated environments; Design systems; Frontend platform standards; Reusable UI patterns", "domainList" : [ "ai-assisted-development", "enterprise-software-delivery", "ai-governance", "cloud-native-architecture", "ai-agents", "rag", "prompt-design", "workflow-design", "ai-observability", "developer-productivity-measurement", "frontend-architecture-patterns", "scalable-frontend-architecture", "regulated-environments", "design-systems", "frontend-platform-standards", "reusable-ui-patterns" ], "domainSpecificKnowledge" : [ "AI-assisted development", "Enterprise software delivery", "AI governance", "Cloud-native architecture", "AI agents", "RAG", "Prompt design", "Workflow design", "AI observability", "Developer productivity measurement", "Frontend architecture patterns", "Scalable frontend architecture", "Regulated environments", "Design systems", "Frontend platform standards", "Reusable UI patterns" ], "toolProficiency" : [ "Claude Code", "GitHub Copilot", "ChatGPT", "Cursor" ], "communicationSkills" : "Written communication; Technical guidance; Onboarding material; Adoption documentation; Workshops; Demos", "documentationSkills" : "Technical documentation; Onboarding documentation; Guidance creation; Standards creation", "continuousLearning" : "Learning & Development", "innovationCreativity" : "Love of innovation", "problemSolvingSkills" : "Structure unclear problems; Troubleshooting", "outcomesObjectives" : "Make AI-assisted engineering reliable; Make AI-assisted engineering measurable; Make AI-assisted engineering secure; Align AI with enterprise standards; Turn AI adoption into capability; Reduce inconsistent AI usage; Improve developer experience; Establish measurable AI adoption practices", "qualificationsBasic" : "8+ years software engineering experience, TypeScript proficiency, Modern JavaScript proficiency, Experience with modern frontend frameworks, Experience with scalable frontend architecture, Experience across frontend/backend boundaries, Experience with APIs, Experience with integrations, Experience with services, Experience with data flows, Engineering fundamentals, Clean architecture knowledge, Maintainability knowledge, Automated testing knowledge, Code reviews knowledge, CI/CD knowledge, Production readiness knowledge, Experience designing reusable technical standards, Experience designing shared libraries, Experience designing templates, Experience designing platform tooling, Experience designing developer experience improvements, Ability to work with multiple engineering teams, Ability to understand delivery challenges, Ability to create practical solutions, Written communication skills, Ability to operate in ambiguity, Ability to structure unclear problems, Ability to move from discovery to delivery, Security-conscious engineering mindset", "qualificationsPreferred" : "Experience with AI-assisted development tools, Experience building internal platforms, Experience building developer tooling, Experience building engineering productivity tools, Experience building paved-road capabilities, Node.js experience, Python experience, Backend language experience, Cloud-based systems experience, AWS experience, Observability concepts experience, Experience in regulated environments, Experience in enterprise environments, Design systems experience, Frontend platform standards experience, Accessibility experience, Reusable UI patterns experience, Knowledge retrieval experience, Documentation systems experience, RAG-style workflows experience, Internal engineering knowledge platforms experience, Experience designing evaluation approaches, Experience coaching engineers, Experience running workshops, Experience driving adoption", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Experience something Brilliantly Different with a career at MUFG Investor Services. Who are we? In a nutshell, MUFG Investor Services is part of the Mitsubishi UFJ Financial Group, and we partner with over 480 loyal global investment firms to provide them with administration, asset services, banking and fund financing. We’re in 14 global locations and provide an exceptional hub of Brilliantly Different talent to thrive. We are hiring a Senior AI Enablement Engineer to help shape how software engineering teams adopt, use, and scale AI-assisted development across the organization. This is not a traditional full-stack role, and it is not a “prompt engineering” role. You will work at the intersection of software engineering, developer experience, AI tooling, platform standards, governance, and engineering enablement. You will help build the paved roads that allow engineers to use AI tools safely and effectively: standards, reusable workflows, automation, evaluation approaches, observability, documentation, and internal platform capabilities. The goal is to make AI-assisted engineering reliable, measurable, secure, and aligned with enterprise software delivery standards. You will work closely with engineering teams, platform teams, security, architecture, product, and AI stakeholders to turn AI adoption from isolated experimentation into a sustainable engineering capability. You Will: * Own and deliver AI enablement capabilities that improve how engineering teams use AI tools across the software development lifecycle. * Design and build internal tools, workflows, templates, integrations, and automation that make AI-assisted development safer, faster, and more consistent. * Create and maintain engineering standards, guidance, and reusable patterns for AI-assisted software delivery. * Help teams adopt AI development tools responsibly, with clear expectations around verification, quality, security, and maintainability. * Work with engineers/steakholders to understand real delivery pain points and translate them into practical enablement solutions. * Build or integrate capabilities around AI-assisted coding, documentation, testing, code review, onboarding, and knowledge retrieval. * Contribute to AI governance implementation by helping translate policy and security expectations into usable engineering workflows. * Support observability and measurement for AI adoption, including usage insights, effectiveness, quality signals, and operational risks. * Partner with platform, architecture, AppSec, and infrastructure teams to ensure AI tools are integrated safely into the enterprise environment. * Coach and support engineers through workshops, documentation, demos, and hands-on enablement. * Operate with high autonomy in a fast-moving area where ambiguity is expected and practical ownership is essential. AI & Engineering Enablement Mindset: * Strong interest in how AI is changing software engineering, developer workflows, and engineering productivity. * Practical experience using AI development tools such as Claude Code, GitHub Copilot, ChatGPT, Cursor, or similar tools. * Ability to distinguish between AI experimentation and production-grade engineering practices. * Strong belief that AI output must be verified, tested, reviewed, secured, and aligned with engineering standards. * Comfortable working across technical implementation, team enablement, stakeholder communication, and operational rollout. * Curious about areas such as AI agents, MCP, RAG, evals, prompt/workflow design, AI observability, and developer productivity measurement. The Impact You Will Have: * Help engineering teams adopt AI in a way that is practical, safe, and aligned with enterprise standards. * Reduce inconsistent AI usage by creating clear workflows, reusable patterns, and trusted guidance. * Improve developer experience by removing friction from common engineering tasks. * Help establish measurable AI adoption practices across software engineering. * Contribute to the next generation of AI-enabled engineering capability within MUFG Investor Services. ## Qualifications You Have (Required): * 8+ years of professional software engineering experience , with strong ownership of complex systems, platforms, or engineering capabilities. * Strong proficiency in TypeScript and modern JavaScript. * Experience with modern frontend frameworks, preferably Vue.js 3, and scalable frontend architecture patterns. * Experience working across frontend and backend boundaries, including APIs, integrations, services, and data flows. * Strong engineering fundamentals: clean architecture, maintainability, automated testing, code reviews, CI/CD, and production readiness. * Experience designing reusable technical standards, shared libraries, templates, platform tooling, or developer experience improvements. * Ability to work with multiple engineering teams, understand their delivery challenges, and create practical solutions that scale. * Strong written communication skills , with the ability to create clear technical guidance, onboarding material, and adoption documentation. * Ability to operate in ambiguity , structure unclear problems, and move from discovery to delivery. * Security-conscious engineering mindset , especially when introducing new tools, automation, or AI-assisted workflows. Preferred: * Experience with AI-assisted development tools in real software delivery, not only experimentation. * Experience building internal platforms , developer tooling, engineering productivity tools , or paved-road capabilities. * Experience with Node.js, Python, or another backend language. * Experience with cloud-based systems, preferably AWS. * Experience withobservability concepts such as logs, metrics, traces, usage telemetry, and operational dashboards. * Experience in regulated or enterprise environments with strong governance, security, and release discipline. * Experience with design systems, frontend platform standards , accessibility, and reusable UI patterns. * Experience with knowledge retrieval , documentation systems , RAG-style workflows , or internal engineering knowledge platforms. * Experience designing lightweight evaluation approaches for AI-generated outputs , automation, or agentic workflows. * Experience coaching engineers, running workshops, or driving adoption of new engineering practices. ## Additional Information What’s in it for you to join MUFG Investor Services? Take a look at our careers site and you’ll find everything you’d expect from a career with the fastest-growing business at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus, and next-level LEARNING & DEVELOPMENT. Oh, and we really walk the talk when it comes to HYBRID WORKING. So, why settle for the ordinary? Apply now for a Brilliantly Different career. We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted.", "summaryDescription" : "Senior AI Enablement Engineer at MUFG Investor Services. Skills: AI Enablement, Developer Experience, Platform Engineering, AI Governance. Own AI enablement capabilities. Deliver AI enablement capabilities", "postedDate" : "2026-06-12T12:12:23.000", "createdAt" : "2026-06-13T17:07:08.695", "lastUpdated" : "2026-06-15T05:40:31.190", "ingestTimestamp" : "2026-06-13T17:07:08.695", "mongoId" : "6a2c735774d8ee00a0932e29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Automated testing", "Code reviews", "CI/CD", "Production readiness", "RAG", "Prompt design", "Workflow design", "Autonomy", "Ownership", "AI Enablement", "Developer Experience", "Platform Engineering", "AI Governance", "System design", "Platform standards", "Engineering enablement", "Developer experience", "Discovery to delivery", "AI-assisted development", "Enterprise software delivery", "AI governance", "Cloud-native architecture", "AI agents", "AI observability", "Developer productivity measurement", "Frontend architecture patterns", "Scalable frontend architecture", "Regulated environments", "Design systems", "Frontend platform standards", "Reusable UI patterns", "Claude Code", "GitHub Copilot", "ChatGPT", "Cursor" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "IT", "dataQualityScore" : 1.0, "_score" : 586.5954, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a305b8af292fd229cf5ece9", "title" : "AI Community Enabler – Tech Expert & Change Manager", "company" : "LEONI", "industry" : "Automotive", "salary" : { "min" : 45000.0, "max" : 75000.0, "currency" : "TND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level AI Community Enabler in Sousse, Tunisia, adjusted for the automotive industry and company size." }, "location" : "Sousse, Sousse Governorate, TN", "locations" : [ "Sousse", "Sousse Governorate", "TN" ], "certifications" : [ "Microsoft Power Platform certification", "AI/Automation tools certification" ], "timestamp" : "2026-06-16T10:02:58.395", "fingerprint" : "92c6a67aa5790d71df52470928e368d7bb7f9f43e652289bec1621f9ac5bd73f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LEONI1/744000132130459-ai-community-enabler-tech-expert-change-manager", "externalId" : "744000132130459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sousse", "state" : "Sousse Governorate", "country" : "Tunisia", "continent" : "af", "source" : "llm", "workMode" : "onsite", "geo" : "35.8288284,10.6405254" } ], "locationText" : "Sousse, Sousse Governorate, Tunisia", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Microsoft Power Platform, Power Automate, Power Apps, Copilot Studio, Power BI, Microsoft 365 Copilot, RPA, Generative AI, GenAI tools, GPT4All, ChatGPT, Agentic AI, KNIME", "professionalSkills" : [ "Solution design", "Architecture", "Troubleshooting", "Scalable solutions", "Robust technical solutions", "Technical best practices", "Emerging AI trends", "Automation trends", "Community building", "Change management", "Digital adoption", "Internal communications", "Prompt engineering", "User feedback analysis", "Process improvement", "Training program design", "AI literacy", "Citizen development skills", "Business needs translation", "Solution marketplace curation", "Knowledge Hub contribution", "Technology introduction", "Thought leadership", "AI Engineers collaboration", "IT Professionals collaboration", "Business users support", "Business requests assessment", "Business requirements assessment" ], "hardSkillsList" : [ "Automation", "RPA", "AI", "Generative AI", "Prompt engineering", "Citizen development" ], "softSkillsList" : [ "Empathetic mindset", "User-centric thinking" ], "hardSkills" : [ { "name" : "Automation", "level" : "intermediate" }, { "name" : "RPA", "level" : "intermediate" }, { "name" : "AI", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Citizen development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Empathetic mindset" }, { "name" : "User-centric thinking" } ], "majorSkills" : "AI Community, Citizen Development, Microsoft Power Platform, Generative AI", "majorSkillsList" : [ "AI Community", "Citizen Development", "Microsoft Power Platform", "Generative AI" ], "coreResponsibilities" : "Evaluate citizen development toolkit, Set up citizen development toolkit, Maintain citizen development toolkit, Provide technical guidance, Support community members, Translate needs into solutions, Review citizen developer tools, Curate solution marketplace, Contribute to Knowledge Hub, Identify new technologies, Introduce new approaches, Explore AI trends, Translate trends into solutions, Engage AI community, Inspire AI community, Grow AI community, Design community initiatives, Organize community initiatives, Run community initiatives, Develop Knowledge Hub, Maintain Knowledge Hub, Design training programs, Deliver training programs, Collect user feedback, Translate feedback into improvements, Innovate communication strategies, Improve engagement methods, Act as culture champion, Promote change adoption, Promote storytelling, Clarify business requests, Assess business requirements", "teamCollaboration" : "AI Engineers; IT Professionals; AI Community Enabler; Business users; Citizen developers", "projectManagementSkills" : [ "Change management" ], "domainKnowledge" : "Automotive industry; Energy management; Data management; Wiring systems; Cable harnesses; Generative AI; Responsible AI; Data ethics; GDPR", "domainList" : [ "automotive-industry", "energy-management", "data-management", "wiring-systems", "cable-harnesses", "generative-ai", "responsible-ai", "data-ethics", "gdpr" ], "domainSpecificKnowledge" : [ "Automotive industry", "Energy management", "Data management", "Wiring systems", "Cable harnesses", "Generative AI", "Responsible AI", "Data ethics", "GDPR" ], "toolProficiency" : [ "Microsoft Power Platform", "Microsoft 365 Copilot", "Power Automate", "Power Apps", "Copilot Studio", "Power BI", "RPA tools", "GPT4All", "ChatGPT", "KNIME" ], "communicationSkills" : "Expert-sharing sessions; Office hours; Community meetups; Internal communications", "documentationSkills" : "Technical documentation; Blueprints; How-to content", "continuousLearning" : "Experiment with new tools; Acquire new certifications", "innovationCreativity" : "Innovate communication strategies; Improve engagement methods; Explore new tools", "problemSolvingSkills" : "Troubleshooting; Solution design; Scalable solutions; Robust technical solutions", "specialRequirements" : "Occasional global travel", "outcomesObjectives" : "Maximize adoption; Maximize impact; Maximize sustainability", "qualificationsBasic" : "Expertise in Microsoft Power Platform, Microsoft 365 Copilot expertise, Experience with RPA tools, Basic understanding of programming languages, Basic experience with scripting", "qualificationsPreferred" : "Experience with GPT4All, Experience with open-source tools, Experience with ChatGPT Enterprise, Experience with agentic AI, Experience with KNIME, Experience scaling solutions, Experience driving automation programs at scale, Experience with design thinking, Experience with user journey mapping, Experience with internal communication strategy, Knowledge about governance topics, Certifications in Microsoft Power Platform, Certifications in AI/Automation tools", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "LEONI is a global leading provider of products, solutions and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and consolidated sales of EUR 3.9 billion in 2025 (excluding the former Automotive Cable Solutions division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses. Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobility. Join us and help drive the transformation of the automotive world Are you excited by the potential of AI, automation, and low-code tools to transform how people work? As an AI Community Enabler – Tech Expert & Change Manager, you will be both the technical backbone and the community catalyst of LEONI’s global citizen development and AI community. Your mission is to ensure that our AI and Citizen Development transformation is not only technically sound, but also understood, embraced, and actively driven by our global business users. You will care about the tools, trainings, and technical expertise that enable business users to innovate and automate at scale – and at the same time engage, inspire, and support them so that adoption, impact, and sustainability are maximized. You’ll bridge the gap between business and IT, simplifying complexity, fostering engagement, and empowering people to see themselves as part of the transformation. This role is ideal for someone who thrives in a hands-on, solution-oriented environment, enjoys working with people, and wants to make a real impact across a global organization. 1. Technical enablement & expertise * Evaluate, set up, and maintain a best-in-class citizen development toolkit for automation/RPA and AI (especially Microsoft Power Platform and 365 Copilot) to be used by business users. * Provide technical guidance and support to community members on solution design, architecture, and troubleshooting. * Support business users in translating their needs into scalable and robust technical solutions. * Beware of existing citizen dev solutions and business needs. Proactively help in transferring solutions to areas where it makes sense. * Review, curate, and expand our internal citizen developer tools, a to-be-created solution marketplace, ensuring quality, reusability, and compliance with standards. * Contribute to a to-be-created Citizen Dev Knowledge Hub with technical best practices, documentation, blueprints, and how-to content. * Continuously identify and introduce new technologies and approaches that can scale across the company. * Act as a thought leader by exploring emerging AI/automation trends and translating them into practical solutions for the business in the context of citizen development. 2. Community building, change & adoption * Engage, inspire, and grow our (just-starting) global AI and Citizen Dev Community. * Design, organize, and run community initiatives such as global challenges, dashboards, expert-sharing sessions, office hours, and community meetups. * Develop and maintain a Knowledge Hub with best practices, FAQs, success stories, and training resources. * Design and deliver training programs for employees (from executives to citizen developers) to improve AI literacy, citizen development skills, and prompt engineering, either by yourself or with external partners. * Collect user feedback and translate it into actionable improvements for tools, processes, and training. * Continuously innovate and improve how we communicate AI and Citizen Dev transformation and foster engagement. * Act as a culture champion, promoting change adoption and storytelling that inspires people to see themselves as part of the transformation. 3. Collaboration between business, IT & AI * Besides with your internal business users and citizen developers, you work closely with AI Engineers, IT Professionals, and your peer AI Community Enabler to ensure seamless support for business users. Bridge the gap between business and IT by clarifying and assessing business requests and requirements for AI and automation use cases ## Qualifications Must-have : · Strong expertise in Microsoft Power Platform (Power Automate, Power Apps, Copilot Studio, Power BI) and Microsoft 365 Copilot · Experience with RPA tools and intelligent automation (MS Power Automate, plus awareness of other tools and their limitations). · Solid understanding and broad knowledge of Generative AI and GenAI tools (especially MS 365 Copilot, Copilot Chat). Experience with GPT4All, open-source tools, ChatGPT (Enterprise), agentic AI is a plus. · Basic understanding and experience with programming languages and scripting, especially Python and VBA; experience working with AI-assisted coding tools (GitHub Copilot, Cursor,…), APIs and relational/non-relational databases is a plus. · Experience working with business users and translating their needs into technical solutions. · Good communicator and storyteller, both verbal and written, with a knack for making complex topics feel simple and actionable. · Empathetic mindset with strong user-centric thinking, especially when it comes to technology and change. · Strong organizational and facilitation skills (e.g., running workshops, meetups, or training sessions). · Motivation for change management, digital adoption, internal communications, or community building. · Curious, self-driven, and eager to continuously improve, experiment, and learn new tools. Nice-to-have : · Experience with workflow and data automation tools (e.g. KNIME). · Experience in scaling solutions and driving automation/AI programs at scale. · Experience with design thinking, user journey mapping, or internal communication strategy. · Knowledge about governance topics (responsible AI, data ethics, GDPR). · Certifications in Microsoft Power Platform or AI/Automation tools. ## Additional Information · You’ll be part of a cross-functional AI team with a startup spirit inside a global automotive supplier. · You’ll work closely with colleagues (AI Community Enabler, AI Engineers, IT, community leads) to ensure both technical and change success. · You will have the freedom to shape and grow a global citizen development and AI community, including its tools, technical foundation, and engagement formats. · You’ll have the freedom to explore new tools and propose our citizen development tech stack. · Your work can directly impact thousands of employees worldwide. · Environment that values initiative, experimentation, and scalability. · You’ll have room to grow, shape your role, and bring your own ideas to life. · Opportunities for acquiring new, role-related certifications. · Hybrid/remote flexibility with occasional global travel. _People of all genders are always meant equally; for linguistic simplification and better readability, only the masculine form is used in the text. LEONI processes your application data in an IT-system that is consistent across the company and uses Foreign Service providers. By sending your application, you agree to this procedure. LEONI ensures the compliance with data protection. _ LEONI Wiring Systems Tunisia SARL", "summaryDescription" : "AI Community Enabler – Tech Expert & Change Manager at LEONI. Skills: AI Community, Citizen Development, Microsoft Power Platform, Generative AI. Evaluate citizen development toolkit. Set up citizen development toolkit", "postedDate" : "2026-06-15T07:34:26.000", "createdAt" : "2026-06-16T00:23:21.844", "lastUpdated" : "2026-06-16T10:02:58.395", "ingestTimestamp" : "2026-06-16T00:23:21.844", "mongoId" : "6a305b8af292fd229cf5ece9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automation", "RPA", "AI", "Generative AI", "Prompt engineering", "Citizen development", "Empathetic mindset", "User-centric thinking", "AI Community", "Citizen Development", "Microsoft Power Platform", "Solution design", "Architecture", "Troubleshooting", "Scalable solutions", "Robust technical solutions", "Technical best practices", "Emerging AI trends", "Automation trends", "Community building", "Change management", "Digital adoption", "Internal communications", "User feedback analysis", "Process improvement", "Training program design", "AI literacy", "Citizen development skills", "Business needs translation", "Solution marketplace curation", "Knowledge Hub contribution", "Technology introduction", "Thought leadership", "AI Engineers collaboration", "IT Professionals collaboration", "Business users support", "Business requests assessment", "Business requirements assessment", "Automotive industry", "Energy management", "Data management", "Wiring systems", "Cable harnesses", "Responsible AI", "Data ethics", "GDPR", "Microsoft Power Platform certification", "AI/Automation tools certification", "Microsoft 365 Copilot", "Power Automate", "Power Apps", "Copilot Studio", "Power BI", "RPA tools", "GPT4All", "ChatGPT", "KNIME" ], "skillCount" : 57, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 585.7043, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb20574d8ee00a09deddb", "title" : "AI Enablement & Adoption Manager", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for Manager seniority in the Financial Services industry for a full-time remote role." }, "location" : "US", "locations" : [ "US" ], "certifications" : [ "Prosci", "ACMP", "Instructional design credentials" ], "timestamp" : "2026-06-16T06:21:57.305", "fingerprint" : "b4839f7de509f40e4b1c822636332a9950274ac9ac352869f5914605fa2f110a", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/0bc0d4eb-a6c2-4cc1-afc0-61e7e15916fb/apply", "externalId" : "0bc0d4eb-a6c2-4cc1-afc0-61e7e15916fb", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Manager", "technicalSkills" : "Generative AI", "professionalSkills" : [ "Organizational transformation", "Change management", "Stakeholder management", "Client-facing" ], "hardSkillsList" : [ "AI enablement", "AI adoption", "Training delivery", "Workshop facilitation", "Demonstration delivery", "Use case development", "Adoption strategy", "Communication planning", "Learning material development", "Metric definition", "Risk management", "Governance alignment", "Compliance alignment" ], "hardSkills" : [ { "name" : "AI enablement", "level" : "intermediate" }, { "name" : "AI adoption", "level" : "intermediate" }, { "name" : "Training delivery", "level" : "intermediate" }, { "name" : "Workshop facilitation", "level" : "intermediate" }, { "name" : "Demonstration delivery", "level" : "intermediate" }, { "name" : "Use case development", "level" : "intermediate" }, { "name" : "Adoption strategy", "level" : "intermediate" }, { "name" : "Communication planning", "level" : "intermediate" }, { "name" : "Learning material development", "level" : "intermediate" }, { "name" : "Metric definition", "level" : "intermediate" }, { "name" : "Risk management", "level" : "intermediate" }, { "name" : "Governance alignment", "level" : "intermediate" }, { "name" : "Compliance alignment", "level" : "intermediate" } ], "majorSkills" : "AI enablement, AI adoption, Change management, Client engagement", "majorSkillsList" : [ "AI enablement", "AI adoption", "Change management", "Client engagement" ], "coreResponsibilities" : "Lead AI enablement programs, Lead AI adoption programs, Drive awareness of AI tools, Drive usage of AI tools, Drive integration of AI tools, Design workshops, Deliver workshops, Design training sessions, Deliver training sessions, Design office hours, Deliver office hours, Design demonstrations, Deliver demonstrations, Act as AI advocate, Build confidence in AI, Address AI concerns, Identify AI adoption opportunities, Collaborate with engineering teams, Collaborate with consulting teams, Collaborate with delivery teams, Translate technical AI capabilities, Develop adoption strategies, Develop communication plans, Develop learning materials, Reduce adoption barriers, Accelerate user engagement, Define adoption metrics, Track adoption metrics, Define user engagement indicators, Track user engagement indicators, Define business outcomes, Track business outcomes, Support clients in regulated industries, Ensure AI adoption aligns with governance, Ensure AI adoption aligns with compliance, Ensure AI adoption aligns with risk management", "teamCollaboration" : "Cross-functional teams; Engineering teams; Consulting teams; Delivery teams", "projectManagementSkills" : [ "Program management" ], "domainKnowledge" : "Regulated industries; Banking; Financial services; Insurance", "domainList" : [ "regulated-industries", "banking", "financial-services", "insurance" ], "domainSpecificKnowledge" : [ "Regulated industries", "Banking", "Financial services", "Insurance" ], "communicationSkills" : "Executive presentations; Stakeholder management", "documentationSkills" : "Learning materials", "continuousLearning" : "Professional growth in AI enablement; Professional growth in consulting; Professional growth in enterprise transformation; Exposure to advanced AI tools; Exposure to enterprise adoption frameworks", "outcomesObjectives" : "Measure program success; Measure program impact", "qualificationsBasic" : "5–10 years of experience in enablement, training, consulting, change management, or organizational transformation roles, Experience working with enterprise clients in banking, financial services, insurance, or other regulated industries, Facilitation and presentation skills, Proven ability to drive adoption of new technologies, digital tools, or AI-driven solutions in enterprise environments, Ability to translate complex technical concepts into clear, actionable guidance for non-technical users, Hands-on experience with generative AI tools, Understanding of AI-driven business transformation, Excellent communication, influencing, and stakeholder management skills in client-facing environments", "qualificationsPreferred" : "Experience working in consulting or fast-paced, multi-stakeholder environments", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Lead end-to-end AI enablement and adoption programs that drive awareness, usage, and long-term integration of AI tools within client organizations. Design and deliver workshops, training sessions, office hours, and hands-on demonstrations for business users, executives, and cross-functional teams. Act as a trusted AI advocate, building confidence, addressing concerns, and identifying opportunities for AI adoption across business processes. Collaborate closely with engineering, consulting, and delivery teams to translate technical AI capabilities into practical, business-focused use cases. Develop adoption strategies, communication plans, and learning materials to reduce barriers and accelerate user engagement. Define and track key adoption metrics, user engagement indicators, and business outcomes to measure program success and impact. Support clients in regulated industries by ensuring AI adoption aligns with governance, compliance, and risk management requirements. Requirements: 5–10 years of experience in enablement, training, consulting, change management, or organizational transformation roles. Experience working with enterprise clients in banking, financial services, insurance, or other regulated industries. Strong facilitation and presentation skills, with experience engaging executives and diverse stakeholder groups. Proven ability to drive adoption of new technologies, digital tools, or AI-driven solutions in enterprise environments. Ability to translate complex technical concepts into clear, actionable guidance for non-technical users. Hands-on experience with generative AI tools and strong understanding of AI-driven business transformation. Excellent communication, influencing, and stakeholder management skills in client-facing environments. Experience working in consulting or fast-paced, multi-stakeholder environments is highly valued. Certifications such as Prosci, ACMP, or instructional design credentials are a plus. Benefits: Competitive compensation package aligned with experience and expertise. Remote-first flexibility across the United States. Opportunity to work directly with leading financial institutions on cutting-edge AI transformation initiatives. High-impact client-facing role with significant ownership and visibility. Professional growth in AI enablement, consulting, and enterprise transformation. Collaborative, fast-moving environment focused on innovation and real-world impact. Exposure to advanced AI tools and emerging enterprise adoption frameworks. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "AI Enablement & Adoption Manager. Skills: AI enablement, AI adoption, Change management, Client engagement. Lead AI enablement programs. Lead AI adoption programs", "postedDate" : "2026-06-12T14:42:19.633", "createdAt" : "2026-06-12T14:42:19.633", "lastUpdated" : "2026-06-16T06:21:57.305", "ingestTimestamp" : "2026-06-14T21:18:38.429", "mongoId" : "6a2cb20574d8ee00a09deddb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI enablement", "AI adoption", "Training delivery", "Workshop facilitation", "Demonstration delivery", "Use case development", "Adoption strategy", "Communication planning", "Learning material development", "Metric definition", "Risk management", "Governance alignment", "Compliance alignment", "Change management", "Client engagement", "Organizational transformation", "Stakeholder management", "Client-facing", "Program management", "Regulated industries", "Banking", "Financial services", "Insurance", "Prosci", "ACMP", "Instructional design credentials" ], "skillCount" : 26, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 582.4489, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb13c74d8ee00a09dc955", "title" : "Technical Product Manager, AI Engineering & Systems", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia", "Miami, Florida", "Houston, Texas" ], "timestamp" : "2026-06-16T05:33:01.789", "fingerprint" : "47bea295a1d49abfb66fe14fc56e0b6eaea5cbdc6e3208d4d97873ca7ec28cb2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/c0e3b5de-26cf-42bc-8693-70bb6f4ca89c/application", "externalId" : "c0e3b5de-26cf-42bc-8693-70bb6f4ca89c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "LLMs, APIs, AI", "professionalSkills" : [ "Systems thinking", "Technical translation" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality", "Automation rates", "Voice models", "Workflow automation", "API design", "System architecture", "SQL" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" }, { "name" : "Answer quality", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" }, { "name" : "Voice models", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "AI Engineering, Systems, LLM systems", "majorSkillsList" : [ "AI Engineering", "Systems", "LLM systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners to evaluate voice models, Work with partners to deploy voice models, Work with partners to evaluate workflow automation, Work with partners to deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator between engineering", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership industry; Modern LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models", "domainList" : [ "car-ownership-industry", "modern-llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "3+ years experience management consulting, 3+ years technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Track record taking complex ideas into products", "qualificationsPreferred" : "Experience with custom workflows", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Technical Product Manager, AI Engineering & Systems at Jerry. ai. Skills: AI Engineering, Systems, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-14T21:05:30.843", "lastUpdated" : "2026-06-16T05:33:01.789", "ingestTimestamp" : "2026-06-14T21:05:30.843", "mongoId" : "6a2cb13c74d8ee00a09dc955", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality", "Automation rates", "Voice models", "Workflow automation", "API design", "System architecture", "SQL", "AI Engineering", "Systems", "LLM systems", "Systems thinking", "Technical translation", "Roadmap", "Car ownership industry", "Modern LLM systems", "Human-in-the-loop feedback", "Computer-use agents" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 582.3495, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 42702, "totalPages" : 855, "hasNext" : true, "hasPrevious" : false } }

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