Engineering Manager, Console Team (Product-Led Growth Strategy)

Deepgram is the leading platform for the Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and production-grade voice agents. Over 200,000 developers and 1,300+ organizations build voice offerings 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 via cloud APIs or self-hosted/on-premises software, with a focus on accuracy, low latency, and cost efficiency. Backed by a recent Series C, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.

Deepgram is looking for an Engineering Manager to drive product-led growth strategy. This role leads a team of frontend and backend engineers working on self-serve products like Console and Product Playground, partnering closely with Product, Sales, and Marketing to execute the next-generation vision for the self-service platform.

• Lead a team of multi-disciplined software engineers to build web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management (authorization, billing, analytics) services.
• Work with leadership and product management on product strategy and roadmap refinement, focusing on AI-native developer experience.
• Oversee technical design, task decomposition, and daily standups to ensure execution on schedule.
• Lead creation of features and product releases, including AI agent playground environments and LLM-powered developer tooling.
• Drive the self-serve growth engine: activation funnels, in-product upgrade flows, and PLG experimentation.
• Collaborate with other team leads on cross-functional projects, identify critical paths, and resolve dependencies.
• Hold regular 1-on-1s with direct reports, help navigate challenges, and coach for career development.

• Have experience working in early-stage startups—from building and scaling to fundraising.
• Have great communication and leadership skills in a fast-paced environment.
• Have strong practical experience with software architecture and implementation.
• Think about LLMs, agents, and model APIs as first-class product primitives.
• Have familiarity with hybrid cloud models and scaled databases.
• Have interest in relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs, etc.).

• A strong technical background building world-class user-facing applications.
• Proven management and leadership experience.
• The ability to drive technical decisions in a scalable and thoughtful manner.
• Passion for good engineering practices, emerging technologies, and improving processes.
• A consistent record of mentoring and coaching team members.
• A passion for navigating the team through real-world startup constraints.

• Experience building AI-powered developer tooling—playgrounds, SDK experiences, interactive docs, or evaluation UIs for ML models.
• Experience shipping agentic or voice AI integrations—MCP servers, function-calling pipelines, voice assistant SDKs.
• Experience driving PLG at a developer-tools company—activation experiments, usage-based pricing instrumentation, upgrade flows.
• Experience managing through a fundraising cycle.
• An opinionated approach to partnering with product and making timely deliveries.

Compensation ranges: San Francisco, Seattle, New York: $214K – $260K; Everywhere else in US: $185K – $230K. Offers equity and bonus.

Apply via the provided application link. Note: Legitimate Deepgram recruiting communication comes from @deepgram.com email addresses; report impersonators to careers@deepgram.com.