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

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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

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