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Soteris

Policy-level ML that tells P&C insurers which policies are losing them money

3 open rolesSeed Β· $8M+
size
4
backers
SCLIPCAP+6
hq
San Francisco
industry
Fintech

Open roles at Soteris

3 positions we're tracking, re-checked daily

  • Machine Learning Engineer (insurance risk models)

    san francisco, ca, usaMid-levelfirst seen 5 days ago
    apply β†—
  • Forward-Deployed / Implementation Engineer

    san francisco, ca, usaMid-levelfirst seen 5 days ago
    apply β†—
  • Enterprise Sales (carriers & MGAs)

    san francisco, ca, usaMid-levelfirst seen 5 days ago
    apply β†—
tracking Soterislast checked October 2, 2026

Know when Soteris 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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  1. livewatching Soteris0 applicants
  2. +2hrole spotted & verified1
  3. +4hyou get the alert1
  4. day 3you've applied~8
  5. day 7+hits the job boards250+
the product

What Soteris is building

Soteris builds machine-learning models that score individual P&C insurance policies, before binding and continuously afterward, and tell the insurer which ones to write, fix or walk away from. It's deliberately not an LLM product. The company describes it as purpose-built AI developed over five years, and its method searches millions or billions of possible segmentations of a book when there are enough policy characteristics and history to support it. There are two products. The original is a loss-ratio tool that finds underpriced policies, and it's been in production since 2020, scoring more than 100 million submissions covering over $180B in premium. The new one, launched with the raise, targets EBITDA: it finds the policies quietly losing money inside books that look healthy overall. The delivery model is built to get past insurance IT. It's an API that returns scores in under 250 milliseconds, implementation takes under 90 days, and there are no changes to rates, forms, filings or headcount. That last point matters because rate and form changes need regulatory filings; Soteris works inside the insurer's existing filed pricing.

the money

Why this matters

Insurers price at the segment level, so every book carries policies that are cross-subsidized by the rest. Sunit Shah's line is that every insurer knows it writes money-losing policies but can't find them with the tools it has. Soteris claims 5-15 point loss-ratio improvements within a year and 70-125% book EBITDA increases in proof-of-concept runs (company figures). The timing argument is about the tech, not hype: Soteris spent five years quietly scoring real submissions, and that production history is the dataset that's hard to copy just by pointing a frontier model at underwriting.

Investors: Spider Capital (lead), Intact Private Capital, Amplify Partners, DCVC, Webb Investment Network, Overlook Ventures, Clocktower Ventures, Foundation Capital, Y Combinator

the outlook

Hiring outlook

No stated hiring plan in the announcement and no public job board found. A new product launch plus a fresh $8M implies engineering and customer-deployment hires, but that's inferred.

Hiring intensity4/8

Working at Soteris

Soteris: Policy-level ML that tells P&C insurers which policies are losing them money. The team is <50 people today. For a Fintech, Insurance company this size, the reality is broad remit, direct access to founders, and equity that still means something if the company works out.

Most Soteris jobs are based in San Francisco, CA, USA.

How to actually get hired at Soteris

Why applying the normal way doesn't work

At this size (<50 people), Soteris has no recruiting function. Founders handle hiring alongside everything else. Reach them directly or get lost in the inbox.

Who to contact at Soteris

Who decides
a founder or department head
Best channel
LinkedIn or direct email

Founding team

SS
Sunit Shah
Founder & CEO

Sunit earned a BA in math and economics and a PhD in economics at the University of Virginia, where he later taught as adjunct faculty in economics, including courses on financial markets and macro trading. He was a macro strategist at Pine River Capital Management, consulted at BCG, and co-authored work on behavioral finance and the principal-agent problem in finance. He founded Soteris and took it through Y Combinator in 2019.

What to show them

Write a 90-day implementation plan for a mid-size MGA: data mapping from a typical policy admin system, a shadow-scoring phase, and how a sub-250ms score gets into the underwriter's quote flow without touching filed rates.

A cold email that works at Soteris

Subject: Machine Learning Engineer (insurance risk models), [your one-line proof]
Hi Sunit, your 90-day, no-refiling promise lives or dies in the integration. I've mapped the policy-admin-to-score path for a typical MGA stack and marked where I'd expect it to slip. Want the doc?
Get personalised templates β†’

What Soteris screens for

Spider Capital leading makes sense: it's a vertical-software fund, and Soteris is vertical software with five years of production proof. Intact Private Capital, the investing arm of one of North America's largest P&C insurers, is on the cap table, which reads as a strategic check from the buyer side. DCVC and Amplify are technical funds. This is a company that ran lean for years and just decided to go loud, so the first hires after stealth will shape how it scales. It's a small team with no public job board, which means direct outreach is the only way in.

Tailor your CV to the specific Soteris role rather than sending a general one. Applications that mirror the language of the job description clear automated filters at a materially higher rate.

avoid

Don't make these mistakes

Sunit has a PhD in economics from UVA, taught financial markets there for over a decade, was a macro strategist at Pine River, co-authored a behavioral finance textbook and worked at BCG. Don't pitch 'I can bring GenAI/LLMs to underwriting' when the site explicitly says 'not an LLM.' Don't be vague about statistics either: talk about segmentation, overfitting in sparse cells, and rate adequacy like someone who respects the math.

Mistakes that kill Soteris applications

  • A recycled CV gets rejected fast at Soteris (<50 people). They notice.

  • Lead with their problem, not your ambition. Soteris is focused on Insurers price at the segment level, so every book carries policies that are cross-subsidized by the rest β€” show you understand that.

  • Don't apply and wait. The median Fintech, Insurance application gets no response ever. One follow-up at day five roughly doubles reply rates.

tracking Soteris

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

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The Soteris interview process

3 stages7 days typicaltake-home: nomodelled from similar companies

We don't yet have verified candidate reports for Soteris. What follows is the typical process for a <50-person Fintech, Insurance company, so treat it as a model, not confirmed detail.

Interview stages

  1. 1

    Intro Call

    Video call Β· 30 min

    What it testsCulture fit and role expectations
    Usually run byFounder or hiring manager
  2. 2

    Technical Deep Dive

    Video call or in-person Β· 60 min

    What it testsPast projects and problem-solving approach
    Usually run byTechnical founder or lead
  3. 3

    Final Round

    In-person or video Β· 45 min

    What it testsTeam fit and offer discussion
    Usually run byFounding team

Soteris interview timeline

Soteris runs about 7 days from first contact to offer. The median for Fintech, Insurance companies at <50 people is 10 days, so Soteris is faster than most.

Interviewed at Soteris?

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 Soteris interview experience β†’

Soteris jobs, frequently asked questions

How many jobs does Soteris have open?

We're tracking 3 active openings at Soteris (verified October 2, 2026).

Does Soteris hire remotely?

All current Soteris roles are based in San Francisco, CA, USA.

What roles is Soteris hiring for?

Soteris is hiring across Engineering, Sales. The most recent opening is Machine Learning Engineer (insurance risk models).

How do I apply for a job at Soteris?

Click through to apply, or see our detailed guide on landing a job at Soteris.

Does Soteris respond to cold emails?

We haven't verified response rates at Soteris yet.

Who is the hiring manager at Soteris?

At this size, hiring is usually run by a founder or department head.

How competitive is it to get hired at Soteris?

Roles at <50-person Fintech, Insurance companies typically draw 50-100 applicants in the first two weeks. Applying inside 72 hours of a posting going live is the single biggest lever you control.

How many rounds is the Soteris interview?

3 stages: Intro Call, Technical Deep Dive, Final Round.

Is the Soteris interview hard?

The interview emphasizes relevant experience and culture fit over abstract problems. Hardest stage: Final Round.

Does Soteris give a take-home task?

No, Soteris does not include a take-home stage.

How long does Soteris take to get back to you?

Around 7 days across the full process.

What should I prepare for the Soteris interview?

Prepare for relevant experience and culture fit. A <50-person startup wants proof you can ship, not that you can whiteboard.

Where is Soteris based?

Soteris is headquartered in San Francisco, CA, USA.

tracking Soterislast checked October 2, 2026

Get Soteris 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 Soteris hires

From $5.99/week, cancel any time.

  1. livewatching Soteris0 applicants
  2. +2hrole spotted & verified1
  3. +4hyou get the alert1
  4. day 3you've applied~8
  5. day 7+hits the job boards250+

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