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Sail Research
Inference infrastructure and sandboxes for long-running AI agents
- —
- KPSSSLRED+12
- San Francisco
- AI
Open roles at Sail Research
5 positions we're tracking, re-checked daily
- apply ↗
Systems Engineer (GPU/Inference)
san franciscoMid-levelfirst seen 3 months ago - apply ↗
Distributed Systems Engineer
san franciscoMid-levelfirst seen 3 months ago - apply ↗
Infrastructure Engineer (Sandboxing/Runtime)
san franciscoMid-levelfirst seen 3 months ago - apply ↗
Developer Relations Engineer
san franciscoMid-levelfirst seen 3 months ago - apply ↗
Founding GTM/Sales Engineer
san franciscoMid-levelfirst seen 3 months ago
Know when Sail Research is hiring before anyone else
A role stays uncontested for about four days. Here's the window, and where we put you in it.
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livewatching Sail Research0 applicants
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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.
Investors: Kleiner Perkins (Series A lead), Sequoia (Seed lead), Redpoint, Theory Ventures, Vine Ventures, CRV, A*, Abstract Ventures, Angels: John Hennessy (Alphabet chairman), Lip-Bu Tan (Intel CEO), Tri Dao (Together AI chief scientist), plus angels from Anthropic, OpenAI, SpaceX, and Thinking Machines
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 a AI company based in San Francisco. For a AI company this size, the reality is opportunity to shape your role based on the company stage.
Most Sail Research jobs are based in San Francisco.
How to actually get hired at Sail Research
Why applying the normal way doesn't work
Sail Research has an ATS but the real pipeline is referrals → sourced → recruiter picks → cold apps. You can still get through, but know where you stand.
Who to contact at Sail Research
- Who decides
- the hiring manager
- Best channel
- LinkedIn or direct email
What to show them
Hands-on work squeezing performance out of GPUs: CUDA kernels, vLLM/SGLang internals, KV-cache optimization, batching schedulers, or contributions to open-source inference engines. They deeply customize open-source inference stacks, so upstream contributions to those projects are the single strongest signal. Experience with throughput-oriented (not latency-oriented) serving is the differentiator.
A cold email that works at Sail Research
What Sail Research screens for
The founders met on day one of freshman year at Stanford, and Movva's thesis crystallized at Together AI when he saw its architecture was built for interactive apps, not agents. Mentioning that you understand the latency-vs-throughput tradeoff (and why agents flip it) proves you read past the headline. Their public benchmark claim is 90.72% on BrowseComp-Plus.
Tailor your CV to the specific Sail Research role rather than sending a general one. Applications that mirror the language of the job description clear automated filters at a materially higher rate.
Don't make these mistakes
Don't pitch yourself on generic 'AI/LLM experience' or prompt engineering. This is a hardcore systems company founded by chip and infrastructure people. Also don't confuse them with a crypto project; despite coverage on crypto news sites, Sail has explicitly stated there is no token, no blockchain, no DePIN angle.
Mistakes that kill Sail Research applications
Don't send the same CV you sent everywhere else. At people it's obvious, and it's the fastest rejection there is.
Lead with their problem, not your ambition. Sail Research is focused on 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 — show you understand that.
Don't apply and wait. The median AI application gets no response ever. One follow-up at day five roughly doubles reply rates.
Applying to Sail Research? Get the contact, not the form.
The Sail Research interview process
We don't yet have verified candidate reports for Sail Research. What follows is the typical process for a -person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Recruiter Screen
Phone or video · 30 min
What it testsBasic qualification and logisticsUsually run byRecruiter or HR - 2
Hiring Manager Interview
Video call · 45 min
What it testsRole fit and experience deep-diveUsually run byHiring manager - 3
Technical/Functional Round
Video call · 60 min
What it testsSkills assessment and problem-solvingUsually run byTeam members - 4
Final Round
In-person or video · 60 min
What it testsCulture fit and cross-functional alignmentUsually run bySenior leadership
Sail Research take-home assignment
Sail Research includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Sail Research interview timeline
Sail Research runs about 14 days from first contact to offer. The median for AI companies at people is 14 days, so Sail Research is about average than most.
Interviewed at Sail Research?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Sail Research jobs, frequently asked questions
How many jobs does Sail Research have open?
We're tracking 5 active openings at Sail Research (verified October 2, 2026).
Does Sail Research hire remotely?
All current Sail Research roles are based 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.
Does Sail Research respond to cold emails?
We haven't verified response rates at Sail Research yet.
Who is the hiring manager at Sail Research?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Sail Research?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the Sail Research interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Sail Research interview hard?
The interview emphasizes technical depth and system design over abstract problems. Hardest stage: Technical Interview.
Does Sail Research give a take-home task?
Yes, Sail Research includes a take-home assignment.
How long does Sail Research take to get back to you?
Around 14 days across the full process.
What should I prepare for the Sail Research interview?
Prepare for technical depth and system design. A -person startup wants proof you can ship, not that you can whiteboard.
Where is Sail Research based?
Sail Research is headquartered in San Francisco, US.
Get Sail Research roles before they're posted
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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