Product Manager - Data Engine
- Salary
- $175K - $250K
- Level
- Lead
- Work type
- On-site · Sunnyvale
Not stated in the posting: visa.
Open. First seen 3 November 2026.
About the role
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy.
Applied Intuition's standard text
Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Learn more at applied.co.
We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions
About the role
Data Engine powers the data workflows behind Applied Intuition's autonomy programs across Cars, Trucks, Industrials, and Defense. We are hiring a Senior Product Manager to make it a coherent platform that technical teams can discover, adopt, and rely on—from bringing data into the system to producing useful, traceable datasets.
Your first customers are the engineers and researchers building autonomy inside Applied. You will work directly with them to understand how they get work done, identify where shared capabilities can replace duplicated effort, and turn their needs into a clear product strategy. Your responsibility extends across ingestion, processing, data discovery, enrichment, quality, and dataset delivery—not just the boundaries of a single engineering team.
You will also own the external product roadmap, customer discovery, and packaging for this platform, working with commercial partners on pricing and go-to-market. You will determine what transfers to external customers and what additional deployment, onboarding, and support capabilities they need.
Success is helping teams complete important workflows more easily, reuse capabilities across programs, and depend less on bespoke integrations and engineering assistance.
At Applied Intuition, you will
- Own the end-to-end product. Set the vision, roadmap, and priorities across multiple teams behind our Data Engine. Define the workflows we support, their users, and what a reliable production experience requires.
- Stay close to users. Observe real workflows, interview users and non-users, investigate workarounds, and combine that evidence with usage and support signals. Make sure teams understand what happened to their feedback and why.
- Build shared capabilities without erasing real differences. Decide what belongs in the common platform, what needs configuration or extension points, and what should remain program-specific. Make explicit choices about what not to build.
- Own adoption beyond launch. Partner with design and engineering on APIs, interfaces, documentation, examples, onboarding, and migrations. Help users find existing capabilities and retire duplicated implementations when the shared path is ready.
- Make technical tradeoffs with engineering. Translate user needs into clear requirements and acceptance criteria. Balance reliability, data quality, latency, cost, compatibility, and delivery speed while respecting security and data-residency constraints.
- Connect internal and external needs. Lead external discovery, define a repeatable offering and its limits, and build a commercial roadmap with sales and customer-facing partners. Avoid turning individual customer requests into permanent product forks.
- Measure outcomes and communicate decisions. Track workflow success, onboarding time, adoption, support effort, and reuse. Explain priorities, tradeoffs, and risks clearly to program teams and leadership.
We're looking for someone who has
- MS/BS in Computer Science, Electrical Engineering, or equivalent experience
- 4+ years of Product Management experience at a top tech company or high-growth startup
- A record of owning complex technical products from discovery through delivery, adoption, and iteration, with senior-level responsibility for decisions and results.
- Experience serving technical users through a shared platform, developer product, or data/ML product, including reconciling competing needs across multiple teams or customers.
- Strong discovery skills: you can distinguish a requested feature from the underlying problem and show how user evidence changed a product decision.
- Sound platform judgment: you can balance reuse with necessary specialization, set support boundaries, and sequence migration without blocking users' work.
- Technical fluency in data flows, APIs, workflow orchestration, data quality, and production operations. You can discuss architectural tradeoffs with engineers.
Nice to have
- Experience with autonomy, robotics, sensor data, or other physical AI workflows.
- Experience with ingestion, catalogs and lineage, data processing, ML data pipelines, or workflow orchestration.
- Experience converting an internal platform into an external product, or supporting customer-controlled and multi-region deployments.
- Prior software engineering experience or hands-on work with technical users, APIs, and developer tooling.
Applied Intuition's standard text
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.
Applied Intuition's standard text
These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request. If you require an accommodation please contact careers@applied.co. We will work with you!
What this role asks for
84% of this description is written for the role. The rest is Applied Intuition's standard text, folded away below.
Compared with Applied Intuition's other open jobs.
The team: Software Engineering - Data & Compute HIRES STEADILY
This role is one of 8 open in Software Engineering - Data & Compute. 2 were posted in the last 30 days and the oldest in July: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Kubernetes (4 of 8), Python (4 of 8), C++ (3 of 8), Golang (3 of 8), Kafka (3 of 8), Machine Learning (3 of 8), Spark (3 of 8)
OTHER ROLES ON THIS TEAM
- Engineering Manager - Autonomy Storage Infra posted Oct 20
- AI Performance Engineer posted Aug 12
- Senior Software Engineer - Simulation Orchestration posted Jun 30
- Engineering Manager - Autonomy Data posted Aug 11
- Software Engineer - Kafka posted Jul 9
- Senior Software Engineer - ML Infrastructure posted Aug 21
- Senior Software Engineer - Data Infrastructure posted Jul 29
From the team and dates on Applied Intuition's own job board.
See Product Manager salaries in the United States →
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