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

Company Overview

Deepgram is the leading platform underpinning the emerging Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and production-grade voice agents at scale. More than 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 through cloud APIs or self-hosted software. Backed by a recent Series C, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.

Company Operating Rhythm

At Deepgram, we expect an AI-first mindset—AI use and comfort are core to how we operate, innovate, and measure performance. Every team member is expected to actively use, experiment with, and integrate advanced AI tools into their everyday work. We move at the pace of AI, so expect rapid iteration, evolving workflows, and constant learning.

Opportunity

Deepgram is looking for an Engineering Manager to help drive our product-led growth (PLG) strategy. In this role, you will lead a team of frontend and backend engineers working on our self-serve products, such as Console and Product Playground. Partnering closely with Product, Sales, and Marketing, you will execute the next-generation vision for our self-service platform, driving how developers discover, adopt, and scale on Deepgram.

What You'll Do

• Lead a team of multi-disciplined software engineers building web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management services (authorization, billing, analytics).
• Partner with leadership and product management on product strategy and roadmap refinement focused on AI-native developer experience.
• Oversee technical design, task decomposition, and execution cadences.
• Guide the creation of features and 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 across product teams to identify critical paths and resolve cross-functional dependencies.
• Conduct regular 1-on-1s, guide direct reports through challenges, and coach them for career growth.

Qualifications

• Strong technical background building world-class user-facing applications.
• Proven engineering management and leadership experience with a track record of mentoring team members.
• Practical experience with software architecture and scaling application infrastructure.
• Experience in early-stage or high-growth startups, navigating real-world constraints to build quickly and iterate frequently.
• Strong communication skills and comfort working in a fast-paced environment.
• Mindset treating LLMs, agents, and model APIs as first-class product primitives.
• Familiarity with or interest in relevant technologies (Rust, LLM APIs, MCP/agent tooling, Elm, Postgres, GPUs).

Preferred Qualifications

• Experience building AI-powered developer tooling (playgrounds, SDK experiences, interactive docs, eval UIs).
• 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 teams through fundraising or rapid scaling cycles.