Staff TPM: DevOps, Cloud Platform Productivity

Rivian VW Group

Irvine, Northern (CA, KY)

Hybrid

USD 120,000 - 170,000

Full time

11 days ago

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Benefits offered by this job

Health coverage

Retirement savings

Time off & family planning programs

Job summary

Rivian and Volkswagen Group Technologies seeks a Staff Technical Program Manager for the Developer Productivity, DevOps & Cloud Platform team to lead cross-functional programs that improve how engineers build, deploy, operate, and continuously improve software.

You will connect DevOps, infrastructure, cloud, data, AI, and engineering leaders, turning ambiguous problems into executable plans, aligning ownership, and delivering durable improvements across build, test, release, and production.

Qualifications

5+ years of progressive experience in technical project and/or program management, engineering program management, product operations, engineering operations, or a related field.
Experience leading complex, cross-functional programs involving software engineering, infrastructure, cloud, DevOps, developer tools, or production operations.
Strong technical fluency in modern software delivery and operations, such as CI/CD, build systems, cloud infrastructure, observability, distributed systems, service ownership, or incident response.
Demonstrated ability to lead through influence across multiple teams and organizational boundaries.
Experience operating effectively in ambiguous environments where the path, ownership model, or solution is not yet defined.
Strong written and verbal communication skills, with the ability to tailor technical and program narratives to engineers, executives, and external partners.
A track record of identifying systemic problems, establishing a clear operating model, and delivering measurable improvement.
Sound judgment about when to create structure, when to move quickly, and when to escalate.
Strong team player known for building trust and partnering across functional lines.
Comfort using metrics, dashboards, operational data, and qualitative feedback to guide decisions.
A bias toward action, learning, and continuous improvement.
Willingness and enthusiasm to use AI tools as part of day-to-day program management work (not just programs about AI).

Responsibilities

Lead multi-team technical programs from problem definition through delivery, adoption, and measurable business or engineering outcomes.
Establish program strategy, scope, milestones, dependencies, decision forums, operating cadence, and success metrics.
Partner with DevOps, infrastructure, cloud, security, data, AI, and engineering leaders to align priorities and sequence work across organizational boundaries.
Drive improvements from incident management, including incident readiness, severity and escalation models, communications, command structures, post-incident learning, and follow-through on corrective actions.
Coordinate programs that improve reliability and speed across build, test, release, deployment, observability, and production operations.
Translate technical complexity into clear decisions, risks, tradeoffs, and actions for both engineering and executive audiences.
Identify gaps in ownership, process, architecture, or operating mechanisms and create practical paths to resolution.
Use data and operational signals to understand program health, expose systemic issues, and measure whether improvements are working.
Build alignment across teams with different incentives, priorities, and levels of technical context.
Influence without direct authority by creating clarity, building trust, surfacing issues early, and holding teams accountable to agreed outcomes.
Represent the program in leadership reviews and provide concise, decision-oriented status updates.
Improve the way we run programs by developing reusable mechanisms, templates, metrics, and working practices that scale beyond a single initiative.