Everfield
SaaS
AIProductBuilder
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Product Builder at Everfield. Skills: AI Product Building, Agent-first product development, Hands-on engineering, Prototyping with agentic coding tools, Shipping agent-first features end to end. Build agent-first products end to end inside the codebases of Everfield's BUs. Spec, prototype, ship, iterate, hand off”
What You'll Achieve.
Shipping agent-first products into tens of European software companies; Translate strategy into measurable performance
Industry & Context.
Technical instinct on what's actually buildable matters; Choose intelligently between greenfield, brownfield, and 'greyfield'
What They're Looking For.
Must Have
Senior engineer who has shipped real software to real users, Founder or near-founder experience, Daily, hands-on use of agentic coding tools, Shipped in at least two languages in production, Comfort with messy, legacy code, Direct customer exposure, Comfort with ambiguity and jumping between BUs, codebases, and customer segments without getting stuck
Nice to Have
Experience operating across multiple companies, portfolios, or accelerator-style environments rather than spending years on a single product, General familiarity with B2B SaaS fundamentals, Working in English at the executive level, Exposure to post-acquisition or M&A integration environments, A failed, acqui-hired, or still-running-on-the-side startup on your CV, Public technical work: GitHub, conference talks, technical writing, open-source contributions, or a personal site of side projects that show how you think, Experience integrating LLMs into production systems beyond the demo stage: evals, guardrails, retrieval, tools, cost control
What You'll Do.
Build agent-first products end to end inside the codebases of Everfield's BUs
Drop into any BU codebase
get productive in days
and produce working software fast
Run agentic coding as the default mode of work
Build AI tooling where it does not yet exist
Prototype directly with BU customers and iterate based on what they actually use
Work side by side with BU engineering teams on their own codebase
Translate validated ideas into shipped products
Hand off production-ready code
and technical narrative
Spot the next build opportunity
Help codify what works into a repeatable build playbook
How You'll Work.
Team & Collaboration
Work as the technical counterpart to the Product Lead; Work side by side with BU engineering teams; Co-build with BU teams on their codebases; Work closely with the Product Lead as a true peer
Communication Scope
Working in English at the executive level
Full Job Description
ABOUT EVERFIELD AND THIS ROLE Everfield acquires and holds European software companies for the long term. We own 100% of the Business Units (BUs) we buy, but we do not run them directly. Each BU is led by its own CEO. We support and steer the portfolio through a small set of operating ratios that translate strategy into measurable performance. We believe the software industry is going through a paradigm shift: from tools that help customers do the job to agents that do the job for them. Our portfolio has tens of companies, around 500 product ideas in the pipeline, and tens of thousands of customers across European verticals. The companies that adopt the agent paradigm first will define the next decade of their categories. This is one of the most exciting product surfaces in European B2B SaaS right now, and it needs a builder. We're hiring an AI Product Builder to be the hands-on engineering force inside Everfield's product team. You'll work as the technical counterpart to the Product Lead: jumping into BU codebases, prototyping with agentic coding tools, and shipping agent-first features end to end on real products with real customers. You will not be short on problems to solve. We have a deep pipeline of customer-validated ideas, a portfolio of BUs that are eager to be first movers, and the freedom to prototype in days rather than quarters. WHAT YOU WILL DO - Build agent-first products end to end inside the codebases of Everfield's BUs. Spec, prototype, ship, iterate, hand off. - Drop into any BU codebase, get productive in days, and produce working software fast. Backend systems, data platforms, workflow tools, and the occasional UI heavy product. - Run agentic coding (Claude Code, Codex, SpecKit and whatever comes next) as the default mode of work, not as a novelty. Where AI tooling does not yet exist for a problem, you build it. - Prototype directly with BU customers and iterate based on what they actually use, not what they say in interviews. - Work side by sid
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