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How to Actually Get Hired
Who reads applications, which channel gets a reply, and what they screen for.
Don't make these mistakes
Describing this as a 'safety' platform or an 'AI compliance' product. Peec is a marketing analytics platform. If you have come from a safety or compliance background and want to position yourself as relevant, frame it around data accuracy, LLM output reliability, or analytical rigour, not safety in the generic sense.
What gets their attention
The Series A announcement from November 2025 explicitly committed to 40+ hires across every function within six months and the opening of a New York office in Q2 2026. The NYC office is confirmed open. The hiring is ongoing. As of April 2026 the company had grown to 85 people, up from essentially zero at the start of 2025. That pace does not stop at 85. Singular's Henri Tilloy summarised the investment thesis precisely: "AI marketing is a very nuanced and vibrant new product category where technical challenges emerge in real time as the market expands. Building for scale and reliability, while delighting customers is a challenge in a market moving so quickly." The phrase "technical challenges emerge in real time" is the hiring signal. Peec's engineering team is solving problems that did not exist twelve months ago: how to reliably prompt major AI engines at production scale, how to normalise outputs that vary by model and by session, how to build a recommendation engine that tells a marketer specifically which content changes will improve their AI search visibility. That requires engineers who are comfortable building in genuinely unexplored technical territory. The Ashby page has 40+ live roles across all functions. The engineering roles are explicitly remote-eligible globally (within ±3 hours CET). For roles not yet listed, careers@peec.ai is the cold-pitch path.
Why applying the normal way doesn't work
Peec AI runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Peec AI isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.
Who to contact at Peec AI
What to show them
Live on Ashby. Peec's backend runs APIs and distributed systems powering real-time AI search queries at scale across multiple models simultaneously. The role covers architecture through delivery, owns complex backend systems end-to-end, and works closely with product and frontend. TypeScript is the primary stack. Core skills: TypeScript, distributed systems, scalable API design, cloud infrastructure (GCP preferred), high-throughput data pipeline experience, startup or high-growth environment. Proof of work: Build a minimal API that queries two different LLMs (GPT-4o and Claude) with the same prompt, normalises the outputs into a consistent structured format, and tracks which sources each model cited. Publish the code. Document the normalisation decisions you made when the two models formatted citations differently. That is Peec's daily engineering problem at production scale.
A cold email that works at Peec AI
What Peec AI screens for
Screening signal: The Series A announcement from November 2025 explicitly committed to 40+ hires across every function within six months and the opening of a New York office in Q2 2026. The NYC office is confirmed open. The hiring is ongoing. As of April 2026 the company had grown to 85 people, up from essentially zero at the start of 2025. That pace does not stop at 85. Singular's Henri Tilloy summarised the investment thesis precisely: "AI marketing is a very nuanced and vibrant new product category where technical challenges emerge in real time as the market expands. Building for scale and reliability, while delighting customers is a challenge in a market moving so quickly." The phrase "technical challenges emerge in real time" is the hiring signal. Peec's engineering team is solving problems that did not exist twelve months ago: how to reliably prompt major AI engines at production scale, how to normalise outputs that vary by model and by session, how to build a recommendation engine that tells a marketer specifically which content changes will improve their AI search visibility. That requires engineers who are comfortable building in genuinely unexplored technical territory. The Ashby page has 40+ live roles across all functions. The engineering roles are explicitly remote-eligible globally (within ±3 hours CET). For roles not yet listed, careers@peec.ai is the cold-pitch path.
A tailored CV beats a generic one. Use Peec AI's job description language to clear filters.
Mistakes that kill applications
A recycled CV gets rejected fast at Peec AI (50-200 people). They notice.
Skip 'I'm looking for...' — start with The shift from Google search to AI-mediated discovery is not theoretical and your specific angle on solving it.
Applying and waiting = silence. Follow up at day five — it roughly doubles your odds of a reply.
Frequently asked questions
How do I apply to Peec AI?
Through the roles on our Peec AI jobs page, or directly to the hiring manager or department lead if you can reach them. At 50-200 people, direct outreach outperforms the form.
Does Peec AI respond to cold emails?
Response rate data for Peec AI not yet confirmed.
Who is the hiring manager at Peec AI?
At this size, hiring is usually run by the hiring manager or department lead.
How competitive is it to get hired at Peec AI?
Expect 150-300 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
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