Staff Product Analyst
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Job Description
Staff Product Analyst at Deepgram establishing analytics foundations for voice AI platform with responsibilities including measurement infrastructure and insights for product growth.
Responsibilities:
- Own the analytics strategy for self-serve growth—design experiments, build measurement infrastructure, and drive insights that increase conversion from signup to first programmatic request
- Build robust, repeatable analytics pipelines and dashboards from the ground up using Superset and Heap Analytics
- Partner directly with product managers and designers to define success metrics, establish baselines, and instrument products correctly
- Design and analyze experiments across the developer journey, with deep understanding of API/SDK adoption patterns
- Collaborate with analytics partners in Marketing and Sales to connect product usage signals with acquisition, activation, and downstream sales outcomes, building a holistic view of the end-to-end PLG funnel
- Surface patterns in product usage across our growing portfolio to identify high-value use cases, customer segments, and where to double down on investment
- Serve as the analytical partner to Product leadership: synthesize insights across multiple products and use cases to identify patterns that inform longer-term product strategy and investment decisions
- Establish experimentation best practices and analytical rigor as the team scales PLG motions
- Translate complex findings into clear, actionable recommendations that shape product roadmap and investment decisions
- Build the analytics muscle for the team—creating frameworks and systems that enable PMs to self-serve insights while you focus on strategic analysis
Requirements:
- Staff-level expertise in product analytics, with proven ability to lead analytics strategy
- Demonstrated track record of accelerating self-serve or PLG growth at a previous company, particularly driving conversion in developer-focused products
- Strong SQL skills and hands-on experience working directly with data warehouses
- Proven ability to build dashboards and analytics infrastructure yourself—you don't need a data engineering team to be effective
- Deep experience designing, running, and analyzing experiments with statistical rigor
- Understanding of developer behavior and API/SDK adoption patterns—you know what signals matter for programmatic usage
- Experience being the first or founding analyst on a team—comfortable building everything from scratch
- Leadership presence to establish best practices and mentor PMs on data literacy
- Excellent communication skills to translate technical findings into strategic recommendations for executives.
Benefits:
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
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