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BRAINGRID

AI product planner for non-technical builders

3 open rolesPre-Seed Β· $1M
size
β€”
backers
MVLSCNTV+1
hq
San Francisco
industry
AI

Open roles at BRAINGRID

3 positions we're tracking, re-checked daily

  • Founding Engineer

    san franciscoMid-levelfirst seen 6 months ago
    apply β†—
  • Head of Community / Growth

    san franciscoSeniorfirst seen 6 months ago
    apply β†—
  • Product Manager (AI-Native)

    san franciscoMid-levelfirst seen 6 months ago
    apply β†—
tracking BRAINGRIDlast checked October 2, 2026

Know when BRAINGRID 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 BRAINGRID0 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 BRAINGRID is building

The vibe-coding revolution moved the bottleneck. Writing code is no longer the constraint for building software, AI coding tools like Claude Code, Cursor, and Lovable have largely solved that. The new constraint is planning. Give a coding agent a vague instruction and it produces fragile output. Features conflict. Integrations break. The prototype works; the product doesn't. BrainGrid sits upstream of the coding agent and solves the planning problem. Its four-stage framework, Capture, Structure, Build, Verify, turns a rough idea into a structured product specification that AI coding tools can execute reliably and consistently. The platform asks the right questions to surface edge cases and hidden complexity before a single line of code is written, then outputs specs in a format that agents can act on without a human in the loop translating between intent and implementation. Over 500 builders have already shipped AI-native SaaS products using it across fitness, healthcare, productivity, and venture studio contexts, including products with real paying customers.

the money

Why this matters

The vibe-coding wave has created millions of new "builders" who are not engineers. Domain experts, non-technical founders, solo operators, and product managers now have access to tools that can generate working software from a prompt. What they don't have is the product management discipline that separates a demo from a product. BrainGrid is betting that the PM layer, which in a traditional software team is a salaried function, will become a software product in the AI-native era. Menlo Ventures lead investor Shawn Carolan's thesis is straightforward: the millions of new founders empowered by AI coding tools need the infrastructure to plan reliably before they build. The Twilio background of both founders is the key detail here. Twilio was one of the first developer platforms to truly nail the problem of making complex infrastructure accessible to builders who didn't want to understand what was happening underneath. BrainGrid is applying the same philosophy to product planning: the complexity of good product management should be invisible to the person using the tool.

Investors: Menlo Ventures (lead, Shawn Carolan), Next Tier Ventures, Brainstorm Ventures

the outlook

Hiring outlook

Very High. $1M into a tiny team with proven traction. Press release states funds will expand operations and development. Zero jobs on careers page.

Hiring intensity8/8

Working at BRAINGRID

BRAINGRID is a AI company based in San Francisco. Working at a AI company at this stage means opportunity to shape your role based on the company stage.

San Francisco is where most BRAINGRID positions are located.

How to actually get hired at BRAINGRID

Why applying the normal way doesn't work

There's an ATS, but at BRAINGRID, referrals get priority. Your cold application competes with sourced candidates and internal recommendations.

Who to contact at BRAINGRID

Who decides
the hiring manager
Best channel
LinkedIn or direct email

What to show them

BrainGrid needs to expand from Capture and Structure into full Build and Verify orchestration, directly integrating with Claude Code, Cursor, and other coding agents through MCP and CLI. That's a significant engineering surface area. Tyler's 25 years across enterprise and startup systems means the technical bar for what "production-grade" looks like is high. This role requires someone who understands both the AI agent integration layer and the reliability constraints of a SaaS product used by non-technical builders who can't debug when things go wrong. Core skills: Python or TypeScript, AI agent integration (MCP, CLI), developer tools product experience, API design, cloud infrastructure, spec-to-code pipeline architecture, product for non-technical users. Proof of work: Use BrainGrid to plan a simple product feature, then implement it using Claude Code or Cursor. Document specifically where BrainGrid's output made the coding agent more reliable and where it still required manual interpretation. Share the writeup with Nico, it's simultaneously a product review and a technical demonstration of how you think.

A cold email that works at BRAINGRID

Subject: Founding Engineer, [your one-line proof]
Hi Nico, I used BrainGrid to spec a payment integration feature, then built it with Claude Code. The spec made a real difference in how reliably the agent handled edge cases, but I hit one point where the output still needed interpretation before the agent could act. Wrote up the gap. Happy to share if it's useful for how you're thinking about the Build phase.
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What BRAINGRID screens for

The press release language is explicit: funds will be used to "expand operations and its development efforts." With 500 builders already on the platform and paying customers in production, this is not a pre-revenue company asking people to believe in the thesis. The traction is there. The team is small. The gap between current capacity and where the product needs to go is significant. Nico has a 20-year background in PM at Twilio and AWS, which suggests the next critical hire on the product side is someone who can extend that discipline into community, growth, and customer success. Tyler has a 25-year engineering background across Skype, Microsoft, and Twilio, which signals that engineering hires need to match that bar for systems thinking and production-grade reliability rather than startup scrappiness. The blog is a major signal too: Nico writes regularly and substantively about AI coding workflows, spec-driven development, and the philosophy behind BrainGrid. He is clearly doing the intellectual heavy lifting publicly and would respond to someone who engages that thinking directly.

A tailored CV beats a generic one. Use BRAINGRID's job description language to clear filters.

avoid

Don't make these mistakes

Approaching BrainGrid without having used the product. Both founders are product and engineering veterans with 20+ years each. They have extremely high pattern-recognition for who has genuinely engaged with the problem and who is pitching generically. The fastest way to get ignored is to send a CV and a cover letter about your "passion for AI." The fastest way to get a response is to come having used BrainGrid, encountered something real, and written it up thoughtfully. The product itself is about replacing vague instructions with precise specifications. Your cold email should be the demonstration of that principle.

Mistakes that kill BRAINGRID applications

  • Generic CVs stand out at a -person company β€” and not in a good way. Fastest path to rejection.

  • Don't open with what you want. Open with what BRAINGRID is dealing with right now β€” The vibe-coding wave has created millions of new "builders" who are not engineers, and what you'd do about it.

  • Most AI applications get ghosted. A day-five follow-up can double your response rate.

tracking BRAINGRID

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

notify me when BRAINGRID hires

The BRAINGRID interview process

4 stages14 days typicaltake-home: yesmodelled from similar companies

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

Interview stages

  1. 1

    Recruiter Screen

    Phone or video Β· 30 min

    What it testsBasic qualification and logistics
    Usually run byRecruiter or HR
  2. 2

    Hiring Manager Interview

    Video call Β· 45 min

    What it testsRole fit and experience deep-dive
    Usually run byHiring manager
  3. 3

    Technical/Functional Round

    Video call Β· 60 min

    What it testsSkills assessment and problem-solving
    Usually run byTeam members
  4. 4

    Final Round

    In-person or video Β· 60 min

    What it testsCulture fit and cross-functional alignment
    Usually run bySenior leadership

BRAINGRID take-home assignment

BRAINGRID 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.

BRAINGRID interview timeline

Expect 14 days total. Compared to similar AI companies (14 days median), BRAINGRID is about average.

Interviewed at BRAINGRID?

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

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BRAINGRID jobs, frequently asked questions

How many jobs does BRAINGRID have open?

As of October 2, 2026, BRAINGRID has 3 open positions.

Does BRAINGRID hire remotely?

BRAINGRID doesn't have remote openings at the moment. All roles are in San Francisco.

What roles is BRAINGRID hiring for?

BRAINGRID is hiring across Engineering, Marketing, Product. The most recent opening is Founding Engineer.

How do I apply for a job at BRAINGRID?

Apply via the links above. For tips, read our guide on how to get hired at BRAINGRID.

Does BRAINGRID respond to cold emails?

Response rate data for BRAINGRID not yet confirmed.

Who is the hiring manager at BRAINGRID?

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

How competitive is it to get hired at BRAINGRID?

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 BRAINGRID interview?

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

Is the BRAINGRID interview hard?

Expect technical depth and system design, not algorithm trivia. Candidates report Technical Interview as the toughest stage.

Does BRAINGRID give a take-home task?

Yes, BRAINGRID includes a take-home assignment.

How long does BRAINGRID take to get back to you?

Around 14 days across the full process.

What should I prepare for the BRAINGRID interview?

Focus on technical depth and system design. At people, they're testing whether you can operate without process, not whether you memorised algorithms.

Where is BRAINGRID based?

BRAINGRID is headquartered in San Francisco, US.

tracking BRAINGRIDlast checked October 2, 2026

Get BRAINGRID 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 BRAINGRID hires

From $5.99/week, cancel any time.

  1. livewatching BRAINGRID0 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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