Get hired atPOMO AI×The Anti Job Board

How to Actually Get Hired

Who reads applications, which channel gets a reply, and what they screen for.

50+ peopleUSTech

Why applying the normal way doesn't work

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

Who to contact at POMO AI

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

What to show them

Pomo's intelligence system does several technically hard things simultaneously: it monitors competitor ad creative and positioning in real time, detects demand signal shifts across external sources, infers what those signals mean specifically for each brand's constraints, and generates ranked action recommendations that are contextually correct rather than generically plausible. Building that reasoning layer at the reliability level that a CMO will trust with their morning brief is a non-trivial ML problem, and it is the core of what the seed funding is for. Core skills: Python, LLM orchestration and fine-tuning for domain-specific reasoning, multi-source real-time signal processing, reinforcement learning from human feedback (Praneet's direct research background), advertising platform API integration (Google Ads, Meta Marketing API, TikTok Ads), competitive intelligence data pipelines, agentic AI system design with guardrail architecture. Proof of work: Build a minimal agent that monitors a brand's Google Ads performance and a competitor's LinkedIn creative simultaneously, detects a divergence in messaging strategy, and generates a one-sentence recommended action with a confidence score. The architecture does not need to be production-grade. It needs to show you understand the closed-loop intelligence problem at an implementation level. Share the repo with hello@usepomo.ai.

A cold email that works at POMO AI

Subject: Founding AI / Applied ML Engineer, [your one-line proof]
Hi Praneet, I built a small agent that monitors two competing brands' ad creative in parallel, detects messaging divergence, and generates a ranked recommendation with a brief rationale. I was trying to understand the signal-to-action architecture problem before reaching out. Happy to share the repo if it's a useful entry point for a conversation about the applied AI team.

What POMO AI screens for

The hiring bar at this stage (Seed, Tech): relevant experience and ability to operate autonomously. Show what you've shipped.

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

Mistakes that kill applications

A recycled CV gets rejected fast at POMO AI ( people). They notice.

Don't open with what you want. Open with what POMO AI is dealing with right now — The name Pomo is a play on "post-modern advertising", the team's thesis that the category of marketing tooling is being rebuilt from scratch, and what you'd do about 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 POMO AI?

Through the roles on our POMO AI jobs page, or directly to the hiring manager if you can reach them. At null people, direct outreach outperforms the form.

Does POMO AI respond to cold emails?

Not enough data yet on POMO AI's cold email response rates.

Who is the hiring manager at POMO AI?

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

How competitive is it to get hired at POMO AI?

Typical applicant count for Tech roles ( people): 100-250 in two weeks. Apply fast.

Have your application sent for you

We find roles at companies like POMO AI within 48 hours of them appearing, build a CV tailored to the posting, and send it while you're still applicant number ten.

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