[Remote] Head of Decision Intelligence

Note: The job is a remote job and is open to candidates in USA. Deepgram is a leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. The Head of Decision Intelligence will build an Intelligence Layer that utilizes autonomous agents for data-driven decision-making, working closely with product, sales, and finance teams to enhance operational excellence.

Responsibilities

• AI-Augmented Intelligence: In close partnership with functional leaders, architect and deploy agent-assisted intelligence systems that move beyond static dashboards. Build workflows that proactively reason across silos (e.g., correlating API latency with churn signals in Salesforce) to surface automated root-cause analysis and actionable recommendations
• Infrastructure Evolution: In close partnership with our Tech/Engineering team, co-evolve our data stack. Define the semantic layer and data contracts required to make our infrastructure agent-ready and highly reliable
• Unlock Audio Intelligence: Leverage Deepgram's own Voice AI models to ingest and structure thousands of hours of internal calls, turning unstructured audio into queryable insights for all functional teams
• Strategic Leadership: Act as the primary data partner to the CEO and Board. Define the "source of truth" for our complex, usage-based revenue models and provide the analytical backbone for long-term strategy — from pricing, packaging, and distribution to market entry and capital allocation
• Team Building: Recruit and lead a lean, elite team of AI-native engineers. Set a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents

Skills

• 7+ years in data/analytics roles, with 2+ years leading teams at high-growth technology companies
• Expert-level proficiency in SQL and Python — equally comfortable in a Hex notebook or dbt model as in a boardroom presentation
• Experience building agentic systems that can navigate a data warehouse autonomously — not just using LLMs to write SQL, but understanding where human judgment still matters
• A founder's mindset: comfortable with 'work-in-progress' infrastructure, pragmatic enough to deliver high-value insights today while iteratively improving the foundation
• Deep experience with usage-based SaaS metrics: consumption patterns, gross margin per million tokens/hours, and NRR
• A track record of leading teams where data infrastructure was evolving alongside the business — and you still enjoy getting your hands dirty in code
• Prior experience as a Data Engineer or Software Engineer
• Contributions to open-source data or AI projects
• Experience with real-time billing and consumption systems

Benefits

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• Unlimited PTO
• Generous paid 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.

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