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Sapiom

Production infrastructure + model routing for AI agents ('ship, run, scale agents')

4 open rolesSeries A · $35M50+ peopleSan Francisco

Last verified August 19, 2026 · Updated daily

What Sapiom is building

A platform (Router, Agent Studio, Runtime) that turns fixed infrastructure choices into real-time decisions — routing each agent action to the cheapest capable model/tool/service subject to cost, quality, latency, reliability and company policy, with budgets/permissions enforced before execution. Differentiator: owns inference capacity (San Jose racks) rather than reselling tokens.

Why this matters

Zerbib's bet: 'trillions of agents' will operate in the economy within three years, and 'in 95% of cases it doesn't make sense to go to a very expensive frontier model.' Notably, Anthropic — whose bills Sapiom shrinks — is an investor. Risk: routing is commoditizing, so compute-ownership moat is the thesis to watch.

Investors: Dragonfly (lead; MP Haseeb Qureshi joins board), Accel, Gradient, Coinbase Ventures, Operator Collective, Formus Capital, VanEck Ventures, Existing: Okta Ventures, Menlo Ventures, Anthropic, Array Ventures

Open roles at Sapiom

4 positions we're tracking. Roles are re-checked daily and removed when filled.

Inference Systems Engineer

San Francisco·Mid-level

First seen today

Apply →

ML Engineer

San Francisco·Mid-level

First seen today

Apply →

GTM Lead

San Francisco·Senior

First seen today

Apply →

DevRel Engineer

San Francisco·Mid-level

First seen today

Apply →
Live · tracking SapiomLast checked August 19, 2026

Know when Sapiom is hiring before anyone else

A role stays uncontested for about four days. Here's the window — and where we put you in it.

Notify me when Sapiom hires

From $9/month, cancel any time.

live+2h+4hday 3day 7+

Watching Sapiom

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

Hiring outlook

Explicitly 'hiring across engineering, ML, GTM and DevRel, with a particular focus on routing policy, inference systems, and post-training,' on fresh $35M with 100k+ daily agent runs to support.

Hiring intensity: 8/8

Working at Sapiom

Sapiom: Production infrastructure + model routing for AI agents ('ship, run, scale agents'). Founded , currently employees. At this stage, expect opportunity to shape your role based on the company stage.

Most Sapiom jobs are based in San Francisco.

How to actually get hired at Sapiom

Why applying the normal way doesn't work

Sapiom uses an ATS, but referrals still come first. Cold applications aren't ignored — they're just behind referrals, sourced candidates, and recruiter picks.

Who to contact at Sapiom

Who decides:the hiring manager
Best channel:LinkedIn or direct email

What to show them

Serving open-weight models at scale, GPU utilization, latency/throughput optimization on owned hardware.

A cold email that works at Sapiom

Subject: Inference Systems Engineer, [your one-line proof]
Ilan — owning the racks instead of reselling tokens is the only routing moat that survives Bedrock/Azure bundling. I've built [inference/serving systems] and want to help keep the margin the frontier labs are collecting today.

What Sapiom screens for

Reference the Polsia case ($1.2M→$100K/mo) and owning inference on San Jose racks rather than reselling tokens — the crux of their margin thesis.

Don't send a generic CV to Sapiom. Mirror the job posting's language to get past automated screening.

Don't make these mistakes

Don't call it 'just another model router' — the story is owned inference capacity + policy/governance runtime, not a reseller markup.

Mistakes that kill Sapiom applications

At people, a copy-paste CV is immediately obvious. It's an instant no.

Lead with their problem, not your ambition. Sapiom is focused on Zerbib's bet: 'trillions of agents' will operate in the economy within three years, and 'in 95% of cases it doesn't make sense to go to a very expensive frontier model — 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.

Live · tracking Sapiom

Applying to Sapiom? Get the contact, not the form.

The Sapiom interview process

4 stages · 14 days typical · take-home: yes · modelled from similar companies

We don't yet have verified candidate reports for Sapiom. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.

Interview stages

1

Recruiter Screen

Phone or video · 30 min

What it tests:

Basic qualification and logistics

Usually run by:

Recruiter or HR

2

Hiring Manager Interview

Video call · 45 min

What it tests:

Role fit and experience deep-dive

Usually run by:

Hiring manager

3

Technical/Functional Round

Video call · 60 min

What it tests:

Skills assessment and problem-solving

Usually run by:

Team members

4

Final Round

In-person or video · 60 min

What it tests:

Culture fit and cross-functional alignment

Usually run by:

Senior leadership

Sapiom take-home assignment

Sapiom 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.

Sapiom interview timeline

At days, Sapiom's process is about average than typical for AI (14 days at this size).

Interviewed at Sapiom?

Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.

Submit your Sapiom interview experience →

Sapiom jobs, frequently asked questions

How many jobs does Sapiom have open?

Sapiom currently has 4 open roles, last verified August 2026.

Does Sapiom hire remotely?

All current Sapiom roles are based in San Francisco.

What roles is Sapiom hiring for?

Sapiom is hiring across Engineering, Other. The most recent opening is Inference Systems Engineer.

How do I apply for a job at Sapiom?

Apply directly through the links above, or read our guide on how to actually get hired at Sapiom.

Does Sapiom respond to cold emails?

We're still collecting cold email data for Sapiom.

Who is the hiring manager at Sapiom?

At this size, hiring is usually run by the hiring manager.

How competitive is it to get hired at Sapiom?

-person AI companies see ~100-250 applicants per role in two weeks. The 72-hour window is your advantage.

How many rounds is the Sapiom interview?

4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.

Is the Sapiom interview hard?

It concentrates on technical depth and system design rather than abstract puzzles. The stage candidates find hardest is Technical Interview.

Does Sapiom give a take-home task?

Yes, Sapiom includes a take-home assignment.

How long does Sapiom take to get back to you?

Around 14 days across the full process.

What should I prepare for the Sapiom interview?

Prepare for technical depth and system design. A -person startup wants proof you can ship, not that you can whiteboard.

Where is Sapiom based?

Sapiom is headquartered in San Francisco, US.

Live · tracking SapiomLast checked August 19, 2026

Get Sapiom roles before they're posted

A role stays uncontested for about four days. Here's the window — and where we put you in it.

Notify me when Sapiom hires

From $9/month, cancel any time.

live+2h+4hday 3day 7+

Watching Sapiom

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

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