Sail Research
Inference infrastructure and sandboxes for long-running AI agents
Last verified August 15, 2026 · Updated daily
What Sail Research is building
Sail builds inference infrastructure specifically for AI agents that run for hours or days, not chatbots that answer in seconds. The core insight: existing inference platforms (including Together AI, where CEO Neil Movva worked) optimize for low latency because a human is waiting at the prompt. Agents don't wait. They care about throughput, reliability, and cost across thousands of concurrent calls. Sail deliberately sacrifices real-time responsiveness to pack far more work into the same GPUs, claiming up to 10x lower cost per token. The second product is Sailboxes: persistent sandboxed environments where agents run continuously in the cloud, billed only for time actually working. The API is OpenAI- and Anthropic-compatible and serves open-source models like DeepSeek, Kimi, and GLM, with LoRA fine-tune support and a Tinker integration. In a recent benchmark, Sail topped BrowseComp-Plus with 90.72% accuracy at up to 10x lower cost. Customer Detail.dev runs code-review agents on Sail that spend 3-4 hours combing entire codebases for bugs.
Why this matters
Getting both Sequoia (seed lead) and Kleiner Perkins (Series A lead) into the same company, plus angels like Alphabet chairman John Hennessy and Intel CEO Lip-Bu Tan, is about as strong an investor signal as exists at this stage. The $450M valuation for a company that launched its inference service in March tells you the bet size. The market timing argument: token prices have collapsed, yet enterprise AI bills have tripled because agentic workflows consume 50-500x more tokens than chat. Goldman Sachs forecasts a 24x increase in token consumption by 2030. Fortune reported Nebius recently paid $643M for the 20-person inference startup Eigen AI, so acquirers are hungry for exactly this talent. Movva's framing: 'Sail exists to make intelligence abundant.' The risk worth knowing: frontier labs building their own inference could commoditize this layer, and Together AI is a formidable (and fellow Kleiner-backed) incumbent.
Open roles at Sail Research
5 positions we're tracking. Roles are re-checked daily and removed when filled.
Systems Engineer (GPU/Inference)
First seen last month
Distributed Systems Engineer
First seen last month
Infrastructure Engineer (Sandboxing/Runtime)
First seen last month
Developer Relations Engineer
First seen last month
Founding GTM/Sales Engineer
First seen last month
Hiring outlook
They just took $80M from the two most prestigious firms in venture and are scaling from a small founding team while already processing trillions of tokens weekly. Infrastructure companies at this stage hire systems engineers aggressively because every efficiency gain compounds into margin. The Kleiner partner explicitly framed this as a category-defining bet, which means headcount growth is the plan, not an option.
Working at Sail Research
Sail Research is Inference infrastructure and sandboxes for long-running AI agents, founded in and now people. What this means for you: opportunity to shape your role based on the company stage.
San Francisco is where most Sail Research positions are located.
Frequently asked questions
How many jobs does Sail Research have open?
We're tracking 5 active openings at Sail Research (verified June 2026).
Does Sail Research hire remotely?
Currently, Sail Research only has in-office roles in San Francisco.
What roles is Sail Research hiring for?
Sail Research is hiring across Engineering. The most recent opening is Systems Engineer (GPU/Inference).
How do I apply for a job at Sail Research?
Click through to apply, or see our detailed guide on landing a job at Sail Research.
Where is Sail Research based?
Sail Research is headquartered in San Francisco, US.
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