Nominal
Product Manager, Data Review
- Los Angeles, California
- Onsite
- full time
- Posted 7 days ago
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About the role
Nominal is building the connected test and operations platform powering the
world's most advanced hardware systems, from spacecraft and autonomous vehicles
to next-generation defense programs. Our platform gives hardware engineering
teams a single place to ingest data, analyze performance, automate test
execution, and collaborate across every phase of development, so they can move
faster without sacrificing safety or precision. We're a fast-moving team that
owns problems end-to-end, works across disciplines, and thrives at the
intersection of hardware and software.
We serve top-tier commercial and defense customers, from autonomy leaders like
Anduril and Shield AI to next-generation aerospace teams like Hermeus and
REGENT, and performance engineering teams like Pratt Miller Motorsports,
alongside mission partners within the U.S. Navy and U.S. Air Force on programs
where failure isn’t an option. We’re backed by Sequoia, General Catalyst,
Founders Fund, Lux Capital, and Lightspeed. Our team draws from SpaceX,
Palantir, Anduril, Applied Intuition, and other leading companies, united by a
common mission: giving hardware engineers the tools to build the future with
speed, safety, and confidence.
Join Nominal as a Product Manager responsible for a product area designed to
accelerate hardware engineers as they review data from test events. Your tool
belt might include anything from root cause analysis frameworks, to predictive
analytics and anomaly detection, to trade study analysis and dimensionality
reduction and more. The users you support span multiple engineering disciplines
and org maturity levels. All of this existing in the context of constantly
evolving tech capability both in things like AI and traditional software. You’ll
provide clarity, transforming complex technical details into a unified product
that delights and empowers the users mission.
You will contribute to what it means to do hardware data review in the age of
AI, with a focus on what it means to create a differentiated product moat that
won’t be commoditized by prompting or AI coding. This will involve diving deep
into advanced analytics, capabilities that only come from scale, intelligently
integrating AI agents themselves or facilitating org-wide or inter-org network
effects.
Your team in this role consists of software engineers and designers, along with
internal stakeholders from growth. You will coordinate goal-setting,
requirements gathering, vision setting, project breakdown and validation. You
are skilled at soliciting and responding to feedback on both the feature goals
and details alike. You use the tool that’s right for the job, whether that’s a
doc, a design, or a prototype.
🚀 ABOUT THE ROLE
* Ideate and synthesize evidence: Work with customers and internal stakeholders
to gather product ideas and evidence for investment. Apply rigor to the
question of what to build, considering existing customer pain, potential
markets, engineering effort, opportunity cost, and design cohesion.
* Collaborate with engineering and design: Partner with engineering and design
to turn ambiguous problems into clear requirements and milestones. Recommend
pragmatic scope/quality tradeoffs, unblock execution, and close the loop
post-launch with feedback and followups.
* Be fluent in the details: You'll work closely with your engineering and
design pod, and coordinate directly with the customer-facing engineers who
use your product area day to day. Your job is to learn and understand the
complexities so you can provide a direction that really works.
* Communicate with clarity and purpose: Identify the most important thing and
hone it relentlessly. Produce documents and decks, prototypes that align
stakeholders and point toward proven value. You are a storyteller.
* Build product systems: Nominal serves a diverse market of hardware orgs. Your
responsibility is to create a product that generalizes across them,
empowering the mission of one customer while contributing to systems to serve
100s more.
* Ship solutions: Above all, your job is to ship product that accelerates
hardware testing. You are a force for forward progress.
🔍 WE'RE LOOKING FOR SOMEONE WITH
* Proven Product Ownership: 3–5 years of product management experience,
including at least one 0→1 launch and a track record of shipping meaningful
increments, ideally on an early-stage product built for technical users.
* Passion for the Problem: Genuine excitement about how software is
transforming the way complex hardware systems get tested and validated.
* Clarity from Ambiguity: You can take a loosely defined problem space, like
"how engineers root-cause an anomaly," and turn it into a concrete plan.
* Deeply Collaborative: Strong cross-functional partnership with engineering
and design, with a knack for aligning stakeholders, including without direct
authority.
* Strong Technical Intuition: You can discuss system design, data modeling, and
APIs at a working level.
* AI-Native Thinking: You're excited about AI agents as a product paradigm,
with a clear point of view on where agents create durable advantage versus
commoditized features.
* Clear, Concise Communicator: You synthesize complex topics for operators,
engineers, and executives alike, in writing and in conversation.
* High Standards, High Ownership: A demonstrated bias toward shipping,
learning, and iterating quickly, even under real constraints.
⚡ SKILLS THAT SUPERCHARGE US
* Experience in hardware engineering or adjacent technical field.
* Experience working in a DoW context with a security clearance.
* Experience in product design and an ability to produce prototypes to
communicate ideas.
* Experience in software development either in a backend, frontend or edge
context.
* Experience with hardware data review frameworks like FMEA, Bayesian RCA or
Fishbone.
* Experience with data analytics or data science especially if applied to
hardware data.
* Experience with data visualization time series analysis, or telemetry
systems.
Great candidates rarely check every box. If this role excites you, we want to
hear from you.
✨ 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 Management
- Root Cause Analysis
- Predictive Analytics
- Anomaly Detection
- AI Product Strategy
- System Design
- Data Modeling
- API Design
- Cross-functional Collaboration
- Requirements Gathering
- Prototyping
- Data Visualization
- Time Series Analysis
- Telemetry Systems
- Stakeholder Management
- Technical Writing
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