×
POMO AI
Tech company based in the US
Last verified August 17, 2026 · Updated daily
What POMO AI is building
Marketing teams have a decision problem, not a data problem. The average mid-market brand today has more performance dashboards, competitor tracking tools, creative testing platforms, and channel analytics than any team can meaningfully synthesise. The result is what Pomo's founders call a "decision crisis": execution has accelerated, but judgment has not. Teams spend their days reacting to what happened yesterday rather than acting on what matters today. Pomo's architecture is built around a different premise. Rather than adding another dashboard or copilot that waits to be asked questions, Pomo operates continuously in the background, monitoring competitor ad movements, demand signals, creative trends, and channel performance simultaneously. It pulls first-party data from CRM, commerce, and advertising platforms (Google Ads, Meta, TikTok, HubSpot) and combines it with external market context to model each company's specific constraints and strategic intent. The output is not a report. It is a ranked, context-aware list of the few priorities that actually matter that day, along with recommended actions and ready-to-use deliverables that slot directly into a team's existing workflow. Execution can be automated within brand-defined guardrails. Every outcome feeds back into the system so recommendations sharpen over time. Pomo's design partners report that competitive and demand signals surface days before they appeared in their existing tools, and that hours of manual research are replaced with a prioritised morning brief.
Why this matters
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. The investor syndicate is the sharpest signal of all. Databricks Ventures investing in a marketing AI company is unusual, but it makes complete technical sense: Pomo's core capability is continuous multi-source data synthesis and pattern recognition at speed, which is exactly the infrastructure problem Databricks has spent a decade solving at enterprise scale. Their participation signals that the technical architecture has credibility at the data engineering level, not just the UI layer. The angel roster adds further texture. Mehdi Ghissassi previously headed product at Google DeepMind and Google Brain, meaning the people who built frontier AI models are personally backing this application of those models to marketing. Scott Belsky, creator of Behance and former Chief Product Officer at Adobe, is the rare investor who understands both creative and product workflows from the inside. Massimo Mascaro is a Google AI principal. These are not brand-name checkwriters. They are technical practitioners who built the category of tools Pomo is competing with, and they are betting that the agentic approach Praneet and Joe are taking is genuinely different. Early clients include Ai4 (the global AI conference series, whose founder Marcus Jecklin invested personally after using the product) and the Confederation of Indian Industry, which represents tens of millions of businesses and constitutes a distribution channel of remarkable scale for a company that launched one week ago.
Open roles at POMO AI
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Know when POMO AI is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching POMO AI
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Three roles predicted based on team composition and hiring signals.
Working at POMO AI
Founded in , POMO AI is . They're now people. Working at a Tech company at this stage means opportunity to shape your role based on the company stage.
The majority of roles are in .
How to actually get hired at POMO AI
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
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
What POMO AI screens for
relevant experience and ability to operate autonomously
A tailored CV beats a generic one. Use POMO AI's job description language to clear filters.
Mistakes that kill POMO AI 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.
Applying to POMO AI? Get the contact, not the form.
The POMO AI interview process
4 stages · 14 days typical · take-home: no · modelled from similar companies
We don't yet have verified candidate reports for POMO AI. What follows is the typical process for a -person Tech company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
POMO AI interview timeline
Timeline: ~ days. That's about average than the Tech median (14 days at people).
Interviewed at POMO AI?
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 POMO AI interview experience →POMO AI jobs, frequently asked questions
How many jobs does POMO AI have open?
3 open roles at POMO AI, last checked April 2026.
Does POMO AI hire remotely?
POMO AI doesn't have remote openings at the moment. All roles are in .
What roles is POMO AI hiring for?
POMO AI is hiring across Engineering, Sales. The most recent opening is Founding AI / Applied ML Engineer.
How do I apply for a job at POMO AI?
Use the apply links above, or check our guide to getting hired at POMO AI.
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.
How many rounds is the POMO AI interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the POMO AI interview hard?
Focus on relevant experience and culture fit, not puzzles. Final Round is reportedly the most challenging round.
Does POMO AI give a take-home task?
No, POMO AI does not include a take-home stage.
How long does POMO AI take to get back to you?
Around 14 days across the full process.
What should I prepare for the POMO AI interview?
Focus on relevant experience and culture fit. At people, they're testing whether you can operate without process, not whether you memorised algorithms.
Where is POMO AI based?
POMO AI is headquartered in the US.
Get POMO AI 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 $9/month, cancel any time.
Watching POMO AI
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+