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Atomic
AI control system for physical goods supply chains
- 25
- KCAMMMDVJ+2
- San Francisco
- B2B
Open roles at Atomic
2 positions we're tracking, re-checked daily
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A role stays uncontested for about four days. Here's the window, and where we put you in it.
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- live
livewatching Atomic0 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 Atomic is building
Atomic is supply chain planning software for companies that make, buy, move or sell physical goods. The model underneath simulates every unit: what gets produced on which line, which distribution center or 3PL holds it, and what gets purchased from which supplier given lead times, minimum order quantities and cost. Planners run scenarios in seconds, and every recommendation traces back to the unit-level model and rules behind it. The company's word for this is transparent. No black box. The shift the Series A funds is from recommending decisions to executing them. TechCrunch describes the product as agentic software that simulates scenarios and then either recommends or automatically carries out inventory and distribution decisions, learning the unwritten rules a company's planners actually follow. At DoorDash's DashMart, Atomic already automates about 90% of purchasing across hundreds of sites. The migration took three months without disrupting the business, and per the announcement, AI built the new purchasing logic in roughly an hour. The origin matters. The founders ran sales and operations planning at Tesla through the Model 3 ramp and built a 50-person planning engineering org there, because spreadsheets couldn't keep up. Atomic is the productized version of that team, for companies that could never afford to build one.
Why this matters
Planning in most mid-market physical goods companies still means ERP exports and spreadsheets. That works until demand, lead times or channel mix change faster than a planner can rebuild the model, which now happens constantly. Atomic's proof points are operational, not theoretical. Good Chop (HelloFresh) cut inventory from 8-9 weeks to 4 weeks while more than doubling revenue. DashMart runs about 90% of purchasing on it. ARR is up 5x since the start of 2026 (TechCrunch). Rossiter's framing is the market thesis in one line: "Most companies can't justify building the kind of planning engineering team we had at Tesla." If AI can supply that team as software, the addressable market is every brand with a warehouse.
Investors: Klass Capital (Adrian Schauer), Madrona (Matt McIlwain), DVx Ventures (Jon McNeill), Alumni Ventures, Sandberg Bernthal Venture Partners
Hiring outlook
Explicit. The careers page has two live engineering openings, Forward Deployed Engineer and Sr. Software Engineer, each at mid (3+ yrs) and senior (6+ yrs) levels, across NYC, Boston, Austin and Reno with remote OK. The round funds a product expansion that needs both.
Working at Atomic
Atomic is AI control system for physical goods supply chains, and now <50 people. For a B2B, Retail company this size, the reality is broad remit, direct access to founders, and equity that still means something if the company works out.
Most Atomic jobs are based in San Francisco, CA, USA; Remote.
How to actually get hired at Atomic
Why applying the normal way doesn't work
With only <50 employees, Atomic doesn't have dedicated recruiters. Founders review applications between running the company. The challenge isn't competition β it's visibility. Direct outreach wins.
Who to contact at Atomic
- Who decides
- a founder or department head
- Best channel
- LinkedIn or direct email
- ATS
- Ashby
Founding team
Michael ran planning at Tesla through the Model 3 ramp, where he held Director of Sales Operations and Senior Manager of Business Planning roles and helped build a 50-person planning engineering org. He has also worked at Lyft and BCG, and he is a partner at DVx Ventures, where Atomic was incubated. He is a Dartmouth graduate and is based in Cambridge, MA.
Neal co-led sales and operations planning at Tesla during the Model 3 ramp alongside Michael, and the two engineered the first version of Atomic's core planning algorithms there. Earlier he spent years at Alphabet as an account manager in Media & Entertainment, working with accounts like Netflix and Hulu. He is based in the New York area.
Jeff spent about 8.5 years at Tesla, most recently as Director, Global Vehicle Operations Planning. He joined Atomic as CTO and third co-founder, bringing the most senior hands-on Tesla planning experience on the team.
What to show them
Take a public retail or CPG dataset and build a small purchasing simulator: SKUs, supplier lead times, MOQs and a demand stream. Write a PO policy that respects MOQs across components and show a before/after on inventory weeks-on-hand. Then show one messy data problem you hit (unit-of-measure mismatches, stale lead times) and how you'd catch it in a real customer's ERP export.
A cold email that works at Atomic
What Atomic screens for
Three board seats tell the story. Madrona's Matt McIlwain backs enterprise software that becomes the system of action. Klass Capital's Adrian Schauer writes checks into bootstrapped-efficient B2B software with real revenue. Jon McNeill ran Tesla alongside this team and incubated them at DVx, so he's betting on people he has watched operate. The hiring window is the forward-deployed layer. Every new customer needs someone to wire in their ERP data and encode their planners' unwritten rules, and the company says ARR quintupled this year. The careers page asks for 'high agency' and a 'strong teammate in a small system'. Engineers who have lived inside ops data will stand out.
Tailor your CV to the specific Atomic 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
Generic 'AI for supply chain' talk, or explaining what S&OP is. Michael, Neal and Jeff ran planning for the Model 3 ramp, which was about the hardest planning problem in modern manufacturing. They have seen every forecasting buzzword. Don't pitch ML demand forecasting as the answer either. Their product is about decisions and execution (what to buy, where to put it), not a better forecast. Talk about the gap between a plan and the purchase order that actually gets placed.
Mistakes that kill Atomic applications
A recycled CV gets rejected fast at Atomic (<50 people). They notice.
Lead with their problem, not your ambition. Atomic is focused on Planning in most mid-market physical goods companies still means ERP exports and spreadsheets β show you understand that.
Don't apply and wait. The median B2B, Retail application gets no response ever. One follow-up at day five roughly doubles reply rates.
Applying to Atomic? Get the contact, not the form.
The Atomic interview process
We don't yet have verified candidate reports for Atomic. What follows is the typical process for a <50-person B2B, Retail company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Intro Call
Video call Β· 30 min
What it testsCulture fit and role expectationsUsually run byFounder or hiring manager - 2
Technical Deep Dive
Video call or in-person Β· 60 min
What it testsPast projects and problem-solving approachUsually run byTechnical founder or lead - 3
Final Round
In-person or video Β· 45 min
What it testsTeam fit and offer discussionUsually run byFounding team
Atomic interview timeline
Atomic runs about 7 days from first contact to offer. The median for B2B, Retail companies at <50 people is 10 days, so Atomic is faster than most.
Interviewed at Atomic?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Atomic jobs, frequently asked questions
How many jobs does Atomic have open?
We're tracking 2 active openings at Atomic (verified October 2, 2026).
Does Atomic hire remotely?
All current Atomic roles are based in San Francisco, CA, USA; Remote.
What roles is Atomic hiring for?
Atomic is hiring across Engineering. The most recent opening is Forward Deployed Engineer (customer deployments: data pipelines, modeling, integrations).
How do I apply for a job at Atomic?
Click through to apply, or see our detailed guide on landing a job at Atomic.
Does Atomic respond to cold emails?
We haven't verified response rates at Atomic yet.
Who is the hiring manager at Atomic?
At this size, hiring is usually run by a founder or department head.
What ATS does Atomic use?
Atomic uses Ashby.
How competitive is it to get hired at Atomic?
Typical applicant count for B2B, Retail roles (<50 people): 50-100 in two weeks. Apply fast.
How many rounds is the Atomic interview?
3 stages: Intro Call, Technical Deep Dive, Final Round.
Is the Atomic interview hard?
The interview emphasizes relevant experience and culture fit over abstract problems. Hardest stage: Final Round.
Does Atomic give a take-home task?
No, Atomic does not include a take-home stage.
How long does Atomic take to get back to you?
Around 7 days across the full process.
What should I prepare for the Atomic interview?
Prepare for relevant experience and culture fit. A <50-person startup wants proof you can ship, not that you can whiteboard.
Where is Atomic based?
Atomic is headquartered in San Francisco, CA, USA; Remote.
Get Atomic 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
livewatching Atomic0 applicants
- +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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