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

Job Summary

Deepgram is seeking an Engineering Manager to lead the development of our self-serve platform, focusing on AI-native developer experience. This role directly impacts customer perceptions and buying decisions.

Responsibilities

• Lead a team of multi-disciplined software engineers to build web applications, agentic tooling integrations, and account management services
• Partner closely with Product, Sales, and Marketing to execute on the next-generation vision for our self-service platform
• Oversee technical design, task decomposition, and daily standups to ensure the team is executing on schedule
• Create 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, identify critical paths, and resolve dependencies

Requirements

• Experience working in early stage startups, building and scaling, and going through fundraising
• Strong communication and leadership skills, able to work in a fast-paced environment
• Practical experience with software architecture and implementation, engaging with an engineering team to build and scale existing infrastructure
• Familiarity with LLMs, agents, and model APIs as first-class product primitives, not just add-ons
• Familiarity with hybrid cloud models, scaled databases, and relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs, etc.)
• Willingness to challenge common assumptions about the future trajectories of technology

Qualifications

• 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
• A 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 the real-world constraints of a startup: building quickly, iterating frequently, and running experiments

Preferred Qualifications

• 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