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Sr. Product Manager, Enterprise Productivity & AI

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Rivian Automotive
Full Time position
Listed on 2026-10-04
Job specializations:
  • Business
    AI Business & Operations, Change Management, Business Systems & Technology Analysis
  • IT/Tech
    AI Business & Operations, Change Management, Business Systems & Technology Analysis, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 111000 - 138700 USD Yearly USD 111000.00 138700.00 YEAR
Job Description & How to Apply Below
About Rivian

Rivianis on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

An individual contributor role and the front door to Enterprise Productivity & AI. You bring in demand from across Rivian, translate it into a clear problem worth solving, and shape where our roductivity, collaboration, and AI investments go next.

Success depends on deeply understanding the business — how engineering, manufacturing, and corporate teams actually work — so recommendations land as real solutions rather than more tooling. You set direction and define requirements; platform administration, licensing, and renewals sit with other teams.

Focus areas:
Atlassian (Jira, JSM, Confluence, Rovo, Marketplace plug-ins), AI frameworks and productivity agents (Claude Cowork, Claude Code, AWS Bedrock, Gemini, NotebookLM, Glean, Devin, Windsurf), and collaboration platforms (Slack, Google Workspace, Figma, Adobe, and others).

Responsibilities

Front door

  • Primary contact for business teams bringing productivity and tooling needs to the department; own intake, triage, and routing.
  • Build relationships across functions and firsthand fluency in their workflows and constraints.
  • Reframe requests into defined problem statements with clear outcomes; say no or not yet when warranted.

Strategy

  • Shape the portfolio roadmap — where to invest, consolidate, or sunset — backed by usage data, business impact, and total cost.
  • Lead build-vs-buy-vs-configure decisions and document the trade-offs.
  • Track the AI and workplace tooling landscape; advise leadership on what matters and what is noise.

Atlassian product ownership for engineering

  • Align Rivian’s engineering goals with the Atlassian platform.
  • Standardize apps to optimize spend, reduce risk, and eliminate redundancy.
  • Govern Confluence structure, templates, and knowledge access.
  • Drive Atlassian Rovo adoption across engineering workflows.
  • Lead integration and consolidation strategy with technical partners.
  • Solve root delivery and process problems instead of over-customizing software.

AI and agents

  • Lead enterprise AI assistant and agent evaluation, rollout, and adoption strategy.
  • Direct AI extension frameworks, including RAG, context management, and MCP integrations.
  • Run hypothesis-driven pilots to measure time savings, output quality, and active usage.
  • Partner with Security, Legal, and Privacy to establish guardrails and enablement programs.
  • Align with engineering leaders to integrate coding agents into core developer workflows.

Delivery

  • Lead projects end-to-end using structured delivery frameworks to convert ambiguous needs into measured outcomes.
  • Drive agile execution, maintaining responsive planning, backlog refinement, and review cadences.
  • Partner with engineering teams to build custom tools, defining user stories, technical specs, and acceptance criteria.
  • Manage end-to-end delivery mechanics, including timelines, dependencies, stakeholder alignment, UAT, and rollout.
Qualifications
  • Bachelor’s degree in IT, Business, Computer Science, or related field — or equivalent experience.
  • 5+ years in product management, business analysis, digital workplace, or a related function.
  • Track record of building stakeholder trust and translating messy needs into clear requirements.
  • Deep hands-on Jira and Confluence experience in a working engineering environment
    • workflows,…
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