Staff Product Analyst

Deepgram Inc.

Job Overview

Location

USA | Remote

Job Type

Full-time

Full Job Description

📋 Description

• As the founding Staff Product Analyst at Deepgram, you will establish the analytics foundation for the product team, building measurement infrastructure and experimentation frameworks to accelerate the company’s evolution from a single-product transcription service to a comprehensive voice AI platform.
• You will own the analytics strategy for self-serve growth by designing experiments, building pipelines and dashboards using Superset and Heap Analytics, and driving insights that increase conversion from signup to first programmatic API/SDK request.
• You will partner directly with product managers and designers to define success metrics, instrument products correctly, and analyze experiments across the developer journey to understand API/SDK adoption patterns.
• You will collaborate with marketing and sales analytics teams to connect product usage signals with acquisition, activation, and downstream sales outcomes, creating a holistic view of the PLG funnel.
• You will surface patterns in product usage across Deepgram’s multi-product portfolio to identify high-value use cases, customer segments, and strategic investment opportunities.
• You will serve as the analytical partner to product leadership, synthesizing insights across products to inform long-term product strategy and investment decisions.
• You will establish experimentation best practices and analytical rigor as the team scales product-led growth motions.
• You will translate complex findings into clear, actionable recommendations that shape product roadmap and executive decision-making.
• You will build the analytics muscle for the team by creating frameworks that enable product managers to self-serve insights while you focus on strategic analysis.

🎯 Requirements

• Staff-level expertise in product analytics with proven ability to lead analytics strategy and define what 'good' looks like for product analytics at Deepgram.
• Demonstrated track record of accelerating self-serve or product-led growth (PLG) at a previous company, particularly driving conversion in developer-focused products.
• Strong SQL skills and hands-on experience working directly with data warehouses to build robust, repeatable analytics pipelines and dashboards.
• Proven ability to design, run, and analyze experiments with statistical rigor, including experience with A/B testing and advanced statistical methods.
• Experience being the first or founding analyst on a team, comfortable building analytics infrastructure from scratch without relying on a data engineering team.
• Excellent communication skills to translate technical findings into clear, actionable recommendations for product leaders and executives.

🏖️ Benefits

• Holistic health benefits including medical, dental, vision, annual wellness stipend, mental health support, and life/STD/LTD income insurance plans.
• Work/life blend perks such as unlimited PTO, generous paid parental leave, flexible schedule, 12 paid US company holidays, quarterly personal productivity stipend, and one-time home office upgrade stipend.
• Continuous learning opportunities including a learning/education stipend, participation in talks and conferences, employee resource groups, and AI enablement workshops/sessions.
• 401(k) plan with company match and tax savings programs to support long-term financial wellness.

Skills & Technologies

Senior

Remote

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Deepgram Inc.

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About Deepgram Inc.

Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.

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