Staff Product Analyst
Build analytics foundation for product team to scale self-serve and adoption
As the founding product analyst, you will establish the analytics infrastructure for Deepgram's product team by building data pipelines, defining experimentation frameworks, and creating measurement systems. Your work will directly support product managers and designers in scaling self-serve product adoption and informing strategic decisions. This role is critical to Deepgram's evolution from a transcription-focused company to a comprehensive ...
Why This Role?
Be the first product analyst and shape the analytics foundation from the ground up
Key Responsibilities
- Build data pipelines to support product analytics and reporting
- Define experimentation frameworks for product feature testing
- Create measurement systems to track product adoption and performance
- Partner with product managers and designers to inform product decisions
- Establish analytics foundation for the product team as the founding analyst
Requirements
- Experience building analytics infrastructure and data pipelines
- Background in product analytics or growth analytics roles
- Proficiency with experimentation frameworks and A/B testing
- Ability to partner with product and design teams
- Comfort with AI-first mindset and experimenting with advanced AI tools
Required Skills
Keywords
View Original Description from WeWorkRemotely
Original description from WeWorkRemotely
Headquarters: USA | Remote Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Deepgram is looking for a Staff Product Analyst to accelerate our evolution from a single-product transcription company to a comprehensive voice AI platform. You'll be the first product analyst on our team, reporting to our VP of Product and partnering directly with product managers and designers to build the measurement infrastructure and experimentation frameworks that help us scale self-serve and product adoption. As the founding analyst, you'll establish the analytics foundation for our product team—building pipelines, defining frameworks, and creating the systems that help product managers, designers, and engineers make faster, and more impactful decisions. You'll start with a laser focus on our self-serve funnel, driving conversion from signup to first programmatic API/SDK request, knowing that this optimization directly feeds both self-serve revenue and sales-qualified leads. As you establish this foundation, your scope will expand to help identify patterns across our multi-product portfolio and inform strategic investment decisions. What You'll Do 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 pattern
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