[Remote] Staff Product Analyst
Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. They are seeking a Staff Product Analyst to build measurement infrastructure and experimentation frameworks that will help scale self-serve and product adoption, focusing on analytics strategies to drive conversion and optimize product usage.
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
Skills
- Staff-level expertise in product analytics, with proven ability to lead analytics strategy (we care more about expertise and leadership than years of experience)
- 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
- Experience with Superset and Heap Analytics (or similar tools like Mixpanel, Amplitude, Looker, Mode)
- Background in B2B SaaS with both self-serve and enterprise motions
- Understanding of multi-product portfolio dynamics and how to measure cross-product patterns
- Experience with usage-based pricing models or real-time streaming data products
- Deep knowledge of product instrumentation and event tracking best practices
- Expertise in advanced statistical methods beyond basic A/B testing (causal inference, cohort analysis, time-series analysis)
- Experience working in voice AI, ML/AI platforms, or developer tools
Benefits
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
- Unlimited PTO
- 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
- For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
Company Overview
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