Founded in March 2025, Kilo Code is a remote-first startup building the fastest-growing AI coding agent. We're already generating over 6T tokens per month (top of the leaderboard) with over 500,000 installs. Our open-source, high-output team includes a 15-person engineering org with an average of 15 years of experience. Co-founded by Sid Sijbrandij (co-founder of GitLab and UBoatWorx) and Scott Breitenother (founder of Brooklyn Data Co), we're growing quickly to 35 people.We meet in-person for a focus week every quarter and expect high agency to deliver results in a fast dynamic environment.
Kilo is growing fast, and our customers need a trusted technical guide to help them evaluate, adopt, and succeed with AI-accelerated development. As our first Solutions Engineer, you’ll partner directly with Sales to run high-leverage demos and POCs, translate customer pain into product insight, and ensure customers see value from day one. This isn’t a managerial role, but you’ll be a leader inside the company, helping provide the connective tissue between the field and our engineering teams.
A trusted partner to Sales — you help customers see what’s possible, strategize on how to get them there, and secure the technical win
A builder of motions, not just deals — you’ll help define how we do pre-sales and post-sales engineering at Kilo Code
Deeply familiar with AI-accelerated development — you know the LLM landscape, how developers evaluate models, and can explain the tradeoffs
Obsessed with helping customers actually get value, not just buy the thing
Excited to work directly with our engineers — translating customer pain into clear, actionable insight
Energized by ambiguity — when there’s no playbook, you create clarity
You move at Kilo Speed: you’d rather run a scrappy POC today and refine it tomorrow than wait for the perfect slide next week
Technical fluency in AI dev tooling: prompting, model selection, evaluation, and how devs use LLMs in the real world
Pre-sales expertise: running demos, tailoring proofs of concept, helping sales shape proposals that close
Post-sales follow-through: guiding onboarding, surfacing early wins, and ensuring customers see value fast
Customer translation skill: turning complex, technical conversations into clear asks for product and engineering
Bias for action: you keep deals, feedback, and insights moving
Experience selling or implementing developer tools or AI platforms
Understanding of open-core business models and how community converts to enterprise
Having built demo environments, templates, or technical collateral that sales teams actually use
Comfort presenting to both execs and engineers
A track record of helping shape GTM motions at early-stage startups
Waiting for perfect slides or messaging before talking to customers
Needing someone else to define “how SE works here”
Believing technical depth and business impact are separate
Comfort with slow
Meet our sales, engineering, and support teams — learn how we talk about Kilo and where the gaps are
Shadow customer conversations with sales to understand how developers evaluate Kilo and where they get stuck
Build or refine your first demo of Kilo Code
Identify one part of the sales process that’s slowing us down and propose how to fix it
Partner with Sales on your first customer deal from discovery to close — leading the technical narrative
Build a repeatable demo or proof-of-concept template that sales can use without you
Create clear documentation for common pre-sales and onboarding workflows
Take ownership of our weekly Voice of the Customer internal newsletter – collecting information from sales and support on what’s winning deals and what’s blocking them to share across the company
Own the technical win rate for mid-market and enterprise deals you touch
Stand up the first version of Kilo’s Solutions Engineering motion — demo library, templates, talk tracks, feedback loops
Lead onboarding for at least one new enterprise customer and capture a referenceable success story
Have a seat at the table in shaping our GTM motion — where SE fits, how we scale, and what needs to evolve next
Location: Flexible (US or Western Europe time zones preferred)
Travel: Occasional customer visits and conferences
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