Product Growth Lead

Lemurian Labs•Santa Clara, CA

26d

About The Position

We're looking for a Product Growth Lead who lives at the intersection of deep tech, community strategy, and product adoption. You'll define how the market experiences our product — serving as the primary bridge between our AI stack and the external developer and partner ecosystem, translating technical value into developer adoption at scale. This is a rare hybrid role that demands both technical fluency and go-to-market instincts. You'll architect the developer journey, own the feedback loop between the market and our product backlog, and build the relationships that matter in the open-source and cloud ecosystem.

Requirements

8+ years of experience blending Technical Product Management with Developer Relations, Solutions Engineering, or Growth roles in the AI/HPC space.
Technical fluency: you can read and write Python, and understand lower-level concepts (GPU memory hierarchy, kernel fusion, latency vs. throughput) well enough to debate trade-offs with architects.
A portfolio of technical writing (blogs, documentation, whitepapers) or public speaking that simplifies complex systems without dumbing them down.
Proven track record of launching developer-facing products (APIs, SDKs, CLI tools) and measuring success through adoption metrics.
BS/MS in Computer Science, Engineering, or equivalent practical experience.

Nice To Haves

Open source credibility: you have managed or contributed to high-growth repositories (1k+ stars) or active Discord communities in the GenAI space.
Builder DNA: you have personally built and deployed RAG pipelines or custom model serving endpoints in the last year.
Network: you bring existing relationships within the PyTorch, Hugging Face, Neocloud, or CNCF communities.

Responsibilities

Drive Developer Adoption: Lead the zero-to-one experience for our AI stack. Architect the developer journey from discovery to deployment, ensuring our SDKs and libraries are not just powerful, but accessible.
Own the Feedback Loop: Act as Customer Zero. Bring insights from hackathons, partner integrations, neoclouds, and open-source communities directly into the product backlog.
Technical Storytelling: Partner closely with Communications Team to translate complexity into compelling narratives — whitepapers, blog posts, and documentation that resonate with ML engineers and external audiences, where applicable
Ecosystem Presence: Build high-trust relationships with developers and maintainers of key open-source and cloud-native projects (e.g., vLLM, LangChain, Triton).
Growth Engineering: Define and track key product adoption metrics. Work with technical teams to build the telemetry that informs growth strategy.