Build and operate the Product organization’s planning, prioritization, review, launch, metrics, customer-insight, and decision-making systems. Coordinate operating rhythms across Product, Engineering, Design, Mission, and GTM; manage releases through customer enablement; define metrics and executive reporting; improve documentation and knowledge reuse; and automate workflows using AI and internal tools.
About Nominal
🧭 About the role
🚀 What you'll do
🔍 We're looking for someone with
⚡ Skills that supercharge us
✨ Benefits/Perks
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 teammates who want to take on hard problems and help make a new generation of world-changing hardware possible.
🧭 About the role
Nominal's Product organization needs a clear, measurable cadence for planning, outcome reviews, customer insights, launches, and cross-functional decisions. Product Operations builds, runs, and improves that operating system across Engineering, Product, and Design (EPD) and the teams it works with, including Mission and GTM. The work makes every PM more effective by making customer evidence, priorities, outcomes, and decisions easier to act on.
This role is ideal for an operator who has built and run operating rhythms across several teams with little oversight, and who decides which process problems to fix first. It is a hands-on individual contributor role and does not manage people initially. Over time, the scope can grow to include running analytics for the Product organization and shaping how EPD operates as a whole.
- Define and run how Product plans, prioritizes, and reviews work across EPD, with portfolio visibility that leaders can act on.
- Lead operating rhythms with Mission, GTM, and other teams outside EPD so handoffs and decisions run consistently.
- Run the release process from initiation through launch, including sales training and enablement with GTM, so teams are ready when a release ships.
- Put the PM Handbook, Outcome Briefs, journey dashboards, and decision records into practice without adding unnecessary process, and measure how well each is adopted.
- Define product metrics, instrumentation requirements, and executive reporting in partnership with Analytics and Engineering.
- Make customer research, feedback, and past decisions easy for every team to find and reuse.
- Automate friction-heavy workflows with AI, partnering with Knowledge Systems and internal tooling teams.
🔍 We're looking for someone with
- Experience building or running a product operations or engineering operations function at a technology company with several product and engineering teams to coordinate.
- A track record of designing operating rhythms, such as planning, reviews, or launches, that more than one team adopted.
- Prior ownership of a launch or release from initiation through sales or customer enablement, across Product, Engineering, and go-to-market teams.
- Depth in product analytics, shown by metric definitions or executive reports you built with Analytics or Engineering.
- Hands-on fluency in workflow automation or AI-assisted tooling, with an operational workflow you automated yourself rather than handed to an engineering team.
⚡ Skills that supercharge us
- A background in infrastructure, developer platform, or enterprise software products.
- A track record of moving a product team from output measures, such as features shipped, to outcome-based metrics.
- Hands-on use of a BI tool, such as Looker, Mode, or Tableau, to build dashboards that executives or product leaders relied on.
- Experience leading or building an analytics function, including metric definitions.
- 🏥 100% covered health, dental, and vision insurance (for you and your family)
- 🏖️ Unlimited paid vacation
- 👶 12 weeks parental leave
- 🌱 Fertility and family planning ($15,000 lifetime)
- 🍽️ Lunch provided daily
- 💪 Wellness stipend ($100/month)
- 🛠️ $500/year hardware sensor stipend
- 🚀 Learning and development stipend
- 💼 401(k)
- 📈 Employee-friendly equity terms
- 🏢 In-office 5 days per week
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.
CompensationThe base pay range for this role is $183,000 – $215,000 per year.
Nominal New York, New York, USA Office
New York, NY, United States
Nominal New York, New York, USA Office
New York, NY, United States
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Own platform product operations across Billing, Org & Auth, and Security. Identify enterprise-readiness gaps, analyze structured and unstructured data, build internal data and AI tools, prioritize roadmap investments, and quantify ARR impact. Partner with Product, Engineering, Sales, and leadership to turn ambiguous problems into repeatable workflows, decision-ready recommendations, and measurable improvements in acquisition, expansion, and retention.
Top Skills:
Ai-Assisted Development ToolsDashboardsData AnalyticsIotProduct Telemetry
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads product operations for an assigned Product leader, addressing ambiguous business and product problems through data-informed analysis. Drives cross-functional outcomes across discovery, roadmap planning, go-to-market, and post-launch activities. Aligns stakeholders on metrics, telemetry, and KPIs; synthesizes customer, stakeholder, and performance data into recommendations; promotes AI adoption; standardizes product operations practices; and coaches product teams through training, templates, and documentation.
Top Skills:
AIGoogle AnalyticsJIRAJpdLookerPendoPower BITableau
Big Data • Marketing Tech • Analytics
Coordinates customer-facing Product programs, including advisory boards, feedback visits, early-access client programs, and major events. Manages schedules, invitations, communications, participant lists, timelines, materials, action items, dependencies, risks, and follow-up. Provides on-site event and customer visit support, develops reusable playbooks and checklists, and partners cross-functionally on governance, reporting, and program coordination.
Top Skills:
ConfluenceJIRAMicrosoft 365SaaSSalesforce
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
