[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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