Nominal
Group Product Manager
- Los Angeles, California
- Onsite
- full time
- Posted 2 days ago
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About the role
ABOUT NOMINAL
Engineers today are building some of the most ambitious machines humanity has
ever seen. They should have AI that’s purpose-built for them.
Nominal is building the Hardware Intelligence Platform that gives engineers
increased visibility into complex physical systems, helps them make better
decisions, and ultimately gets their products into the real world faster. It
brings together the systems, data, intelligence, and applications hardware
engineering requires to meet the AI moment. Hardware engineering teams use
Nominal to simulate, test, manufacture, and operate the physical systems that
keep the world moving, from spacecraft and autonomous vehicles to
next-generation energy systems and robotics.
Our customers span aerospace, defense, manufacturing, transportation, energy,
and robotics. They include Anduril, Shield AI, Wisk Aero, Pratt Miller
Motorsports, Antares, and Shinkei Systems, amongst others, alongside programs
within the U.S. Air Force and Navy. Our team draws from SpaceX, Palantir,
Anduril, Applied Intuition, Tesla, and other leading companies, united by a
common mission: giving hardware engineers the tools to build the future with
speed, safety, and confidence. We're a fast-moving team that owns problems
end-to-end, works across disciplines, and thrives at the intersection of
hardware and software.
Some of the world’s leading technology investors, including Sequoia, Lightspeed,
Founders Fund, General Catalyst, Lux Capital, and Insight Partners, are backing
Nominal’s ambition to change how machines are built and operated. We’re looking
for engineers who want to take on hard problems and help make a new generation
of world-changing hardware possible.
ABOUT THE ROLE
Data Foundation is the layer of Nominal's platform that customers rely on to
bring hardware data in, secure it, control its cost, and keep it running. It
spans data onboarding, developer experiences, security and governance, usage and
cost management, and reliable operations. As the Group Product Manager - Data
Foundation, you set the strategy for Data Foundation as a function, build the PM
team that owns each journey, and stand as the product peer to the Engineering
lead who owns the platform.
This role is ideal for a product leader who has set direction for a platform
area and grown the team that executed it, including developing people into
leads. You'll own the function's strategy, structure, and results, and translate
Nominal's company priorities into a multi-year plan for Data Foundation. Your
work is mostly coaching and direction-setting, with hands-on product work
reserved for the few decisions where your judgment is the deciding factor.
🚀 WHAT YOU'LL DO
* Set the multi-year strategy for Data Foundation and translate company
priorities into the function's roadmap, investment choices, and customer
outcomes.
* Design the Data Foundation PM organization, including which journeys get a
dedicated PM, when to add leads, and how the team grows with the product.
* Recruit and develop a team of senior PMs with deep data systems expertise,
and grow the first product leads within it.
* Partner as a peer with the Engineering platform lead on direction, staffing,
and trade-offs, so Product and Engineering run as one plan.
* Set journey-level North Stars and the operating cadence that holds the
function accountable to them, and represent Data Foundation's results to the
executive team.
* Drive alignment across Design, GTM, Finance, and Security on the hardest
cross-functional calls, such as platform investment against monetization or
enterprise readiness.
* Build an AI-native product practice across the function and set the standard
for how PMs use AI in discovery and delivery.
🔍 WE'RE LOOKING FOR SOMEONE WITH
* Experience setting strategy for a platform or data product area, with the
roadmap and results that followed.
* A track record of building a PM team from a few people to a multi-level
organization, including growing at least one PM into a lead or manager.
* Prior ownership of a function's goals and headcount plan, with the plan you
wrote and the outcomes you were accountable for.
* Depth in data systems or developer platforms, shown by products you led that
engineers use through APIs, SDKs, or a CLI.
* A background in shipping platform products to enterprise customers, where
security reviews and deployment options shape what gets built.
* Experience presenting a product area's results and investment case to an
executive team, because this role represents Data Foundation at the company
level.
* Hands-on product work on the highest-stakes decisions while leading, such as
the discovery or trade-off calls you took yourself and why.
⚡ SKILLS THAT SUPERCHARGE US
* Prior ownership of a usage-based infrastructure product, or one offered as
both multi-tenant and single-tenant.
* A background in aerospace, defense, automotive, or industrial products, or in
hardware test and telemetry data.
* Experience leading product managers who were themselves managers.
* A track record of shipping customer- or developer-facing features built on a
large language model or agent.
✨ BENEFITS/PERKS
* 🏥 100% coverage of medical, dental, and vision insurance
* 🏖️ Unlimited PTO and sick leave
* 🍽️ Free lunch, snacks, and coffee
* 🚀 Professional Development Stipend
* ✈️ Annual company retreat
All qualified applicants will receive consideration for employment without
regard to race, color, religion, sex, sexual orientation, gender identity, or
national origin.
ITAR Requirements
To conform to U.S. Government export regulations, applicant must be a (i) U.S.
citizen or national, (ii) U.S. lawful, permanent resident (aka green card
holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. §
1158, or be eligible to obtain the required authorizations from the U.S.
Department of State. Learn more about the ITAR here
[https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987].
Skills
- Product strategy
- Team leadership
- Data systems
- Developer platforms
- API design
- SDK development
- CLI development
- Enterprise software
- Hardware engineering
- AI-native product practice
- Roadmap planning
- Cross-functional alignment
- Stakeholder management
- Mentorship
- Product lifecycle management
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