Senior Software Engineer, Funnel Fighters
Monday.comWork Management company
Tel Aviv, IsraelSenior
Sapphire Ventures
Hamilton Lane
HarbourVest Partners
ION Crossover Partners
Vintage Investment Partners
Genesis Partners
Data & AINew
About the role
TL;DR
Senior Software Engineer to build AI-driven marketing funnel insights product.
- •Funnel Fighters is a product developed in monday.com's Agent Lab -founded and run by monday.com's CEO, the program that spins up independent startups from scratch.
- •Each one runs like a seed-stage company: a tiny team, a real product, real users, with monday.com's backing and distribution.
- •Funnel Fighters: It's a product that already runs on live marketing funnels for startups in the Agent Labs portfolio.
- •The role sits between data engineering, backend, and AI engineering.
- •If you've called yourself any of the three, keep reading.
- •You work directly with the founder, monday.com's CEO.
- •Decisions happen in the conversation, not in a roadmap review.
- •You own the engineering.
- •The founder owns the product.
- •What we're building Funnel Fighters -We're not building an agent.
- •We're building the eyes an agent needs to run a marketing funnel.
- •Funnel data lives in five disconnected places: ad platforms, landing pages, product events, and billing.
- •By the time a human spots a leak, the money's gone.
- •We ingest all of it hourly and stitch it into one data model built for a machine to read and reason over: every ad, click, signup, and dollar connected, nothing older than two hours, a full audit trail on every entity.
- •The agent reads it through one API, pushes changes back to the platforms, and measures its own impact.
- •Built to see everything, so the agent can fix everything.
- •There's no playbook yet for what a data model built for a machine looks like.
- •We're writing it with real funnels and real money.
- •Who we're looking for A builder at heart.
- •You'd rather lead the thing than pitch it.
- •This is an engineering role, not a founder track.
- •You think about data the way a machine will read it: entities, freshness, lineage, and what happens when a source is wrong.
- •Hand you something vague, and you come back with something that works.
- •Strong fundamentals in data pipelines, ingestion, and API design.
- •This role lives in turning messy, high-volume sources into something clean enough to reason over.
- •Bonus: an instinct for marketing funnels and what actually drives conversion.
- •Not required, but it helps when you're designing the schema meant to capture it.
Required skills
PythonSQLREST APIGraphQLNode.jsExpress
Domain expertise
martechproductivityai
Tech stack
PythonSQLNode.jsExpressREST APIGraphQL