Staff Product Analyst (Product-Led Growth)

What You'll Do
Own the analytics strategy for product-led 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 PLG 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 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 PLG 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

Skills Required
Staff-level expertise in product analytics
Demonstrated track record of accelerating self-serve or PLG growth
Strong SQL skills and hands-on experience with data warehouses
Proven ability to build dashboards and analytics infrastructure
Experience designing and analyzing experiments
Understanding of developer behavior and API/SDK adoption
Experience being the first or founding analyst on a team
Excellent communication skills for strategic recommendations