Amazon.com LLC

Technology

SrMgr,AmazonScienceEngineering,AcademicResearchInitiatives&ScienceCommunity

$220–298k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science Community at Amazon.com LLC. Skills: AI-powered tools, Science infrastructure, Team management. Own technical vision and execution. Manage software development engineers”

What You'll Achieve.

Accelerate scientific productivity; Transform science support

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

10+ years of engineering experience, 5+ years of engineering team management, Manage multiple concurrent programs, Lead design, build, deployment of complex software, Proficiency with AI development methodologies, Proficiency with modern CI/CD practices, Proficiency with engineering operational excellence

Nice to Have

Master's degree or above in CS, ML, engineering, PhD, Hands-on AI/ML product building, Integrate LLMs into production workflows, Familiarity with scientific publishing workflows, Familiarity with academic conference management, Familiarity with research administration systems, Work effectively with non-engineering stakeholders

What You'll Do.

Own technical vision and execution

Manage software development engineers

Set technical direction

Drive roadmap prioritization

Partner with science leadership

Partner with internal conference organizers

Think big about AI and automation

Accelerate scientific productivity

Deliver incremental value

Maintain evolving current portfolio

Build next generation science infrastructure

Own and accelerate roadmap

How You'll Work.

Team & Collaboration

Partner with science leadership; Partner with conference organizers; Work with non-engineering stakeholders

Process & Methodology

Agile environment, Roadmap prioritization

Full Job Description

The ARI-SciCom Engineering team builds and operates the software platform that powers scientific publishing and research collaboration across Amazon. Our tools support the full lifecycle of scientific communication — from paper authoring and approval through conference management and research impact assessment and an innovator database containing hundreds of thousands of researchers, their institutions, and their projects. Our tools accelerate innovation for a community of 10K+ Amazon scientists and 20K+ research collaborators. We sit at the intersection of engineering, science, and AI: Building the infrastructure that enables Amazon’s scientists to discover, share, and amplify their work. The team is trusted with both operational excellence on mission-critical systems and bold innovation on next-generation AI tooling. The team currently owns and operates the following production systems: * Publications Approval Pipeline: End-to-end tooling for routing scientific papers and data sets through Amazon’s internal review and approval workflow, ensuring compliance, quality, and publication readiness. * Conference Management Platform: Software supporting internal conferences including reviewer assignment, paper submission, peer review orchestration, and program committee decision-making workflows. * Amazon Science Repository: A searchable repository of papers and presentations authored by Amazon scientists for both internal meetings (AMLC, CSS, many others) and external conferences and journals, enabling discovery and cross-team collaboration. * Custom Academic Research Salesforce Instance: An external portal for call-for-proposal mechanisms, such as Amazon Research Awards and an innovator database that catalogs global researchers, their projects, and their institutions. Forward-Looking Roadmap. In addition to maintaining and evolving the current portfolio, the team is building the next generation of science infrastructure at Amazon. The incoming SDM will own and accelerat

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