Lead Developer Advocate
Parasail
Lead Developer Advocate
Parasail
Enterprise-grade AI compute infrastructure provider
Remote (US) · Marketing
Parasail is the multi-silicon inference cloud. It matches each workload to the right hardware across NVIDIA, AMD, Positron, and other next-generation accelerators and tunes the kernels underneath, then battle-tests the results across trillions of tokens a day. Every optimization ships to every customer, so every team gets performance tuned for their workload from one endpoint in minutes. Parasail is headquartered in San Mateo, California, and backed by Kindred Ventures, Turing Capital, Basis Set and others.
We're looking for our first developer advocate to be Parasail's technical voice on inference, from open weight models and the hardware they run on to the applications built on top.
You'll run your own experiments on how inference behaves in production, then write up what you find, present it at conferences and lead workshops. Day to day, you'll work with our perf and platform engineers and directly with our leadership team. You'll also represent Parasail with our model labs & hardware partners. The role starts as an individual contributor, with room to build and lead a team as it grows.
Advance the technical conversation. Do original work on how inference behaves in production: serving engines, hardware, latency, cost and quality. Publish the deep dives and references engineers bookmark and cite. Post your work across the channels that matter most to developers including X and Hacker News.
Take it to the stage. Write CFPs and give talks at the conferences and meetups where AI engineers, infrastructure teams and model builders show up. You'll also run workshops and go on podcasts and panels.
Work with the labs and the chip makers. Launch new models with open weight labs. Show developers what new silicon can do with partners like AMD, Positron and d-Matrix. Build integrations with the frameworks and tools developers already use. Align with the labs and chip makers on how to benchmark, and build joint benchmarks.
Teach in whatever format works. Technical blogs, notebooks, sample apps and video walkthroughs, including day-0 guides the day new open weight models land.
Close the loop. Bring what you hear from developers back to product and engineering to improve our self-serve experience.
North star: make Parasail one of the top places developers go to build with open weight models.
Engineers learn from Parasail's technical work, cite it and share it.
Parasail is a regular presence on stage at the conferences and meetups where AI engineers show up.
Other teams use an open benchmarking or research project we shaped together.
We regularly launch and publish with open weight labs and hardware partners.
Our engineers co-author and speak regularly, and there's a clear plan for growing the team if the motion is working.
You've done technical work in public, like conference talks and writing that engineers cite, whether your background is developer advocacy, ML education, research or engineering.
You're hands-on with LLMs and inference.
You can make complex ideas clear, on stage and in writing.
You've contributed to or maintained open source that developers use.
You know people across the AI ecosystem, or you know how to meet them fast.
You'd rather build a function than inherit one.
Time in vLLM or SGLang, or on accelerators beyond NVIDIA
Published evals or benchmark methodology for LLM systems
Accepted talks at major AI, ML or systems conferences
A following on X, LinkedIn or elsewhere, earned through your technical work
A research or teaching background in ML or systems
Remote in the US, with regular time in our San Mateo office.
About 30% travel, mostly conferences, meetups and partner events.
If this sounds like you, hit us up with a link to the talk, repo or post you're proudest of and a few lines on why you’re excited.
Parasail is an equal opportunity employer that supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity/expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical or mental disability, or any other protected class. Parasail is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Parasail provides scalable, enterprise-grade AI compute infrastructure designed to support diverse machine learning workloads. It offers high-performance computing resources to run AI and ML tasks, including batch processing and multimodal AI, with a focus on speed, reliability, data privacy, and security compliance. By removing traditional barriers like long-term contracts and sales intermediaries, Parasail aims to make AI compute more accessible and affordable for a wide range of customers—from startups to large enterprises. Its goal is to power the AI revolution by enabling high-throughput screening and efficient workloads with minimal engineering overhead.
Explore more opportunities at Parasail