Sr. Technical Program Manager, Amazon Smart Vehicles

Amazon Smart Vehicles is building the next generation of in-vehicle AI experiences — delivering Amazon's Custom Assistant (ACA) to global automotive OEMs. We're looking for a Senior Technical Program Manager to drive feature
launches and OEM partner engagements from concept through production.

In this role, you will:

- Own end-to-end delivery of customer-facing features across the ACA platform, coordinating cross-functional engineering teams (software, QA, platform, AI/ML) to hit launch timelines.
- Serve as the primary technical program interface with OEM partners — managing joint roadmaps, integration milestones, and partner escalations
- Drive alignment across product, engineering, and business development to ensure feature readiness, quality bar, and launch criteria are met
- Identify and mitigate program risks across complex, multi-team dependencies spanning cloud services and third-party integrations
- Define and improve program mechanisms — status reporting, milestone tracking, decision frameworks — that scale as we onboard new OEM partners

You'll thrive here if you enjoy operating at the intersection of technology and business, can context-switch between deeply technical trade-off discussions and partner facing communications, and want to shape how millions of drivers interact with AI in their vehicles.

Automotive industry experience is preferred but not required — what matters most is strong technical judgment, a bias for action, and experience delivering complex, multi-stakeholder programs at scale.

Key job responsibilities
- Drive end-to-end program execution for feature launches on the Amazon Custom Assistant platform — from requirements through delivery, validation, and production release
- Own the OEM engagement lifecycle: onboarding, integration planning, milestone tracking, issue resolution, and launch readiness across partner programs
- Build and maintain program schedules across multiple workstreams, identifying critical path, dependencies, and resource constraints; proactively escalate risks with mitigation options
- Coordinate cross-functional teams (Software, QA, AI/ML, Platform, UX, Product) to deliver against committed timelines and quality bar
- Lead technical program reviews with engineering leadership and OEM partners — translating complex technical status into clear, actionable narratives
- Define and drive launch readiness criteria, go/no-go decisions, and release processes for OEM-facing feature deliveries
- Partner with Product Management on partner roadmap alignment, scope negotiations, and trade-off decisions
- Establish and improve program mechanisms — sprint planning, dependency tracking, retrospectives, operational metrics —to increase delivery velocity and predictability
- Manage cross-timezone coordination across US, India, and partner teams (EU/India) to ensure seamless execution
- Contribute to organizational best practices by documenting playbooks, onboarding frameworks,and repeatable processes for scaling to new OEM partners

A day in the life
You'll start mornings syncing with engineering leads across US and India on feature delivery status, unblocking dependencies, and triaging risks. It will later shift to OEM partner coordination — reviewing integration progress, aligning on milestone deliverables, and resolving technical escalations. You'll run weekly program reviews with Product, Engineering, QA, and Business Development leadership to drive decisions and maintain launch cadence.

Internal stakeholders: Engineering, QA, AI/ML, Platform and Product Management

Customers: Global automotive OEMs integrating Amazon's Custom Assistant into their vehicles.

Problems you'll solve: Shipping features on time across complex multi-team dependencies, keeping OEM partners unblocked and aligned, and scaling delivery mechanisms as we onboard new partners.

About the team
Amazon Smart Vehicles (ASV) is reinventing the in-car experience by bringing Amazon's AI and voice technology to vehicles worldwide. We partner with global automotive OEMs to deliver custom, branded AI assistants that delight millions of drivers. Our team operates like a startup inside Amazon — fast-paced, highly collaborative, and deeply customer-obsessed. We value ownership, bold thinking, and a bias for action. If you want to shape how people interact
with AI every day on the road, this is the team to join.

BASIC QUALIFICATIONS

- 8+ years of working directly with engineering teams experience
- 6+ years of technical product or program management experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

PREFERRED QUALIFICATIONS

- 6+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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