Nominal · 9 hours ago
Product Analytics Lead
Los Angeles, CA
Full-time
Onsite
Senior Level
$150K/yr - $210K/yr
5+ years expNominal is building the software infrastructure powering advanced hardware systems. They are seeking a Product Analytics Lead to define and improve product measurement and analytics, collaborating closely with engineering and product teams to develop insights that influence strategy.
Information TechnologySaaSSoftware
No H1B
U.S. Citizen Only
Responsibilities
Own Product Analytics Architecture
Lead analytics tooling selection and architecture decisions, evaluating build vs. buy and making pragmatic tradeoffs for a fast-moving startup. Select capabilities that are applicable both on and off-cloud (air-gapped) to support Nominal’s full breadth of deployment environments
Partner with engineering to implement, integrate, and scale analytics systems that are reliable, observable, and easy to extend
Establish standards for instrumentation, metrics, experimentation, and analytical rigor across the product
Build Durable Analytics Foundations
Design and maintain clean, well-structured analytical models that power product insights, experimentation, and reporting
Ensure analytics outputs are trustworthy through testing, documentation, and monitoring
Create shared definitions and abstractions that enable self-serve analysis without sacrificing correctness
Ship High-Leverage Analytical Products
Build and own dashboards, tools, and analyses that product teams and leadership rely on to make decisions
Translate ambiguous product questions into concrete analytical approaches
Balance speed and depth — delivering timely insights while preserving long-term maintainability
Define Metrics That Matter
Partner with product and leadership to define clear, opinionated metrics for product health, user behavior, and outcomes
Reduce ambiguity by creating a consistent, shared understanding of how success is measured
Evolve metrics as the product and customer base mature
Develop Deep Product & User Understanding
During your first few months, conduct user interviews and customer conversations to develop a first-hand understanding of how Nominal is used in production environments
Help engineering leaders combine qualitative insights with quantitative analysis to inform their product strategy and prioritization
Act as a connective layer between customer reality (the data) and internal decision-making
Communicate With Precision
Turn complex analyses into clear, defensible narratives for product teams and executives
Influence decisions through evidence, not volume
Raise the analytics bar through documentation, examples, and thoughtful critique
Qualification
Required
5–10 years of experience in product analytics, analytics engineering, or data-adjacent product roles with significant ownership
Proven experience designing analytics systems in partnership with engineering—including selecting, implementing, and using analytics and BI tools (e.g., Amplitude, PostHog, Heap, Looker, Tableau, Metabase)
Strong command of SQL and comfort working with data programmatically (e.g., Python)
Experience modeling product behavior, defining metrics, and working with event-based data
Strong product intuition and systems thinking — you care about how metrics shape behavior and decisions
Comfortable operating in ambiguity and making informed tradeoffs
Clear, concise communicator who can engage engineers, product managers, and leadership
High standards, high ownership, and strong personal integrity
Preferred
Experience designing or supporting experimentation / A/B testing frameworks
Familiarity with instrumentation design and data quality enforcement
Software engineering experience (product development, testing, CI/CD, version control)
Experience working with technically complex or industrial products
Experience hiring, managing, and/or mentoring other analysts (formally or informally)
Benefits
100% coverage of medical, dental, and vision insurance
Unlimited PTO and sick leave
Free lunch, snacks, and coffee
Professional Development Stipend
In-office hardware lab with a $250 project stipend
Annual company retreat
Company
Nominal
Nominal modernizes your data infrastructure and provides real-time workflows that accelerate testing with confidence.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$102.5MKey Investors
Sequoia CapitalGeneral CatalystLux Capital
2025-06-12Series B· $75M
2024-04-22Series A· $20M
2024-04-22Seed· $7.5M
Recent News
2026-01-22
generalcatalyst.com
2026-01-20
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