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

Deepgram is the leading platform in the Voice AI economy, offering real-time APIs for speech-to-text and voice agents. The Engineering Manager will lead a team of engineers to drive product-led growth by developing self-service products and collaborating with various teams to enhance the developer experience.

Responsibilities:

• Lead a team of multi-disciplined software engineers to build our web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management (authorization, billing, analytics) services
• Work closely with the rest of the leadership and product management team on product strategy and roadmap refinement, with a focus on AI-native developer experience
• Oversee technical design, task decomposition, and daily standups to ensure the team is executing on schedule
• Lead the creation of features and product releases by being closely involved with the product development, design, and review—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 and self serve deployments
• Work with other team leads from across the product organization on cross-functional projects, help identify the critical paths, and resolve dependencies
• Hold regular 1-on-1s with direct reports, help them navigate challenges, and coach them for their career development

Requirements:

• Have experience working in early stage startups—from building and scaling to going through fundraising
• Have great communication and leadership skills and the ability to work in a fast-paced environment
• Have strong practical experience with software architecture and implementation, plus the ability to engage with an engineering team to help build and scale the existing infrastructure
• Think about LLMs, agents, and model APIs as first-class product primitives—not just add-ons
• Have familiarity with hybrid cloud models (bare-metal datacenters and cloud service providers) and scaled databases
• Have interest in relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs, etc.) and a willingness to challenge common assumptions about the future trajectories of technology
• 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 about good engineering practices, emerging technologies, and improving processes
• A consistent record of mentoring and coaching team members
• A passion for navigating the team through the real-world constraints of a startup: how to build quickly, iterate frequently, and run experiments
• 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