Product Growth Lead
About Us
At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster.
We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law.
We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us.
About the Role
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.
What You'll Do
- 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.
Requirements
Essential Skills and Experience
- 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.
Ways to Stand Out
- 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.
Personal Attributes
- Community-native: you understand how developer trust is built and have done it before.
- Self-directed: you take ownership and don't wait for permission to move fast.
- Technically credible: engineers take you seriously because you've done the work.
- Storyteller: you can make infrastructure feel exciting — and back it up with data.
Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background.
Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.
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