• Help Product teams understand user behaviors and identify opportunities • Turn behavioral data into strategic insights for roadmap decisions • Collaborate with Product leaders on analyses and recommendations • Define success metrics and promote a measurement mindset across teams • Contribute to self-service analytics and data models

• Develop, maintain, and analyze periodic experience reports summarizing product, distributor, underwriting, and profitability performance across Term Life, Whole Life, IUL, and related products. • Analyze placement, persistency, claims, expenses, straight-through processing, manual underwriting reviews, and final underwriting outcomes to identify trends and disciplined product innovation opportunities. • Prepare recurring KPI reporting and dashboards for product reviews, market intelligence discussions, and executive updates. • Partner with cross-functional teams to translate insights into recommendations that support profitable growth across US Life functions. • Contribute to new product development by supporting opportunity sizing, competitive and market analysis, product feature comparisons, pricing inputs, business case materials, launch readiness metrics, and post-launch performance tracking. • Help manage the current product portfolio by monitoring performance trends, identifying products or segments needing corrective action, supporting portfolio rationalization, tracking product economics and operational complexity, and preparing recommendations for improvements. • Document assumptions, data definitions, analytical methods, and findings clearly so analyses are repeatable, actionable, and improvable. • Assist in the preparation of documentation supporting state filings for new and existing products. • Support the development, maintenance, and validation of actuarial models, assumptions, and analyses used for pricing, profitability monitoring, product development, and business decision-making. • Other duties/projects as assigned.

Company OverviewDeepgram 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 RhythmAt 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 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 You'll Love This Role If You - Have the seniority and leadership to define what "good" looks like for product analytics at Deepgram - Get energized by being the first—building systems from scratch and establishing foundational practices - Can balance deep analytical work with strategic pattern recognition across a multi-product portfolio - Have strong opinions on experimentation methodology and PLG measurement, backed by experience - Thrive in ambiguity and can define the right questions to ask, not just answer requests - Love partnering closely with product leadership to shape strategy in real-time - Bring natural customer empathy and curiosity, as well as openness to try new tools/AI workflows to maximize analytics efficiency It's Important to Us That You Have - 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 It Would Be Great If You Had - 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

• Participate in discovery, problem solving, and UX workshops; brainstorm ideas for how products can be improved • Write user stories; clearly and succinctly document requirements and acceptance criteria for product features • Participate full time in an Agile (Scrum) development process, working day-to-day within the engineering sprint cadence • As a feature owner, explain requirements and provide feedback to developers • Test new features against product intent — does the product meet the standard a professional researcher would hold? — not just technical functionality • Proactively gather user feedback to inform backlog prioritization and the product roadmap • Create and maintain training resources and reference documentation