Deepgram

Staff Product Analyst

Deepgram

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $180,000 - $230,000 per year

Job Level

Tech Stack

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product analyticsSQLanalytics infrastructuredashboard buildingexperiment designstatistical analysisdata warehousingAPI adoptionSDK adoptionself-serve growth
Soft Skills
leadershipcommunicationmentoringstrategic thinkinganalytical thinkingcollaborationinsight synthesisdata literacyproblem-solvingrecommendation translation