Job title: Founding Developer Evangelist / Solutions Engineer - (Enterprise)Location: London; full in-office working as defaultStart date: ASAPReports to: CTO, with dotted line to CRO and CEOCompensation: £60k–£90k base (potential to go higher depending on experience) plus equity___________________________________________________________________________Cosine at a glanceAt Cosine, we’re building autonomous AI engineers that plan, write, and ship code inside real development workflows.Cosine is designed for on-premise and virtual private cloud (VPC) deployments, including fully air-gapped environments. We build our agent tooling entirely in-house and post-train open-source models to deliver reliable, enterprise-grade coding performance in security-critical settings.In 2024, Cosine achieved a 72% score on OpenAI’s SWE-Lancer benchmark, placing us among the strongest real-world software-engineering AI systems evaluated.YC-backed and well-funded, Cosine was founded by experienced operators focused on building dependable, production-grade AI.This role is based in our Hoxton office, five days a week, because close collaboration, fast feedback, and shared context matter for the problems we’re solving.___________________________________________________________________________The roleAt Cosine, enterprise adoption depends on technical trust. Autonomous agents are still poorly understood, often oversold, and rarely inspected with the rigour serious engineering teams require.We are hiring a Founding Developer Evangelist to make Cosine’s technology legible, credible, and evaluable to the world’s most sophisticated engineering teams.This Role Sits At The Intersection OfDeep technical understanding (agents, ML systems, evals, infrastructure)Enterprise-facing technical communicationHands-on support for real-world evaluations and pilotsContent creation is a core tool, but not the end goal.The goal is to help enterprises understand, trust, and safely evaluate Cosine.___________________________________________________________________________What You’ll Do Support enterprise evaluations and pilots (core responsibility)Act as a technical counterpart to enterprise engineering teams during evaluations, pilots, and early deploymentsJoin architecture reviews, technical deep dives, and security-focused conversationsExplain how Cosine works in practice: its agent architecture, training approach, evaluation methods, and operational constraintsHelp teams understand where Cosine excels, where it currently has limits, and how to evaluate it responsiblyIdentify repeated technical objections, points of confusion, and failure modes encountered during real-world evaluations Create best-in-class technical content (informed by reality)Produce long-form technical explainers grounded in real evaluation learnings:Agent architecture and controlEvaluation methods (correctness, reliability, long-horizon behaviour)Training approaches and research insightsSecurity, auditability, and on-prem deploymentTranslate research-level concepts into content that CTOs, Staff+ engineers, and technical evaluators can reason aboutCreate clear diagrams, walkthroughs, and examples that help engineers form accurate mental modelsProduce high-quality video content where it meaningfully increases clarity or trust Own Cosine’s technical narrative (enterprise-first)Develop a coherent, technically rigorous narrative for how Cosine differs from:“AI wrappers”Code assistantsNarrow benchmark-driven toolsEnsure Cosine is understood as:A research-driven ML labA production-grade autonomous agent platformMaintain a consistent voice that emphasises credibility, honesty, and depth, especially for regulated enterprises Capture and feed back real-world technical insightsSystematically capture insights from enterprise evaluations, including:Where teams get stuckWhat they distrustWhich evals matter most to themWhat blocks internal approvalShare structured feedback with product, research, and engineering teams.Help shape documentation, evals, and product priorities based on repeated patterns observed in the field. Produce early technical case studies and evaluation write-upsCreate technically rigorous case studies based on pilots and early deploymentsFocus on what was tested, how it was evaluated, what worked, and what didn’t___________________________________________________________________________How Success Will Be Measured (first 6–12 Months)Enterprise engineers can accurately explain Cosine’s architecture, evaluation approach, and differentiation after engaging with Cosine.Technical objections during evaluations become clearer, fewer, and more repeatable over time.Prospective customers report increased confidence in evaluating Cosine safely.Insights from enterprise evaluations directly inform product decisions, documentation, and evaluation strategy.Sales and leadership rely on this role as a trusted technical voice in high-stakes conversations.You’ll Thrive Here If YouHave deep technical credibility: you’ve worked as a software engineer, ML engineer, or in a highly technical role and are comfortable reasoning about real systems, trade-offs, and failure modesAre fluent in modern ML and agentic systems, including model training and post-training, evaluation methods, long-horizon agent behaviour, and the operational constraints of deploying AI in production environmentsCan engage directly with senior engineers and architects at large enterprises, explain complex systems clearly, and earn trust in high-stakes technical conversationsEnjoy being close to the action: joining pilots, and technical deep dives to understand where real teams struggle, what they distrust, and what actually blocks adoptionCan independently investigate a technical topic (including reading research papers or inspecting code) and turn that understanding into clear explanations, diagrams, and written or video contentAre obsessed with clarity and accurate mental models, and care deeply about helping others understand not just what Cosine does, but how and why it works, including its current limitsAre energised by working closely with a research-driven engineering team, and enjoy acting as a bridge between cutting-edge ML work and real-world enterprise use casesWant autonomy and ownership, and are excited by shaping a function from first principles in a fast-growing company where your judgment and technical taste will matterExperience producing polished technical demos, walkthroughs, or explanatory videos is a plus___________________________________________________________________________Cosine is an equal opportunity employer.We value diverse backgrounds, perspectives, and ways of thinking, and we’re committed to creating an inclusive and respectful workplace.We encourage applications from anyone who meets the role requirements, even if you don’t meet every single qualification. If you need reasonable adjustments at any stage of the hiring process, we’re happy to discuss them.___________________________________________________________________________Compensation, Benefits & Ways Of WorkingWe’re an in-office team, five days a week, by design. We believe the work we’re doing benefits from being together, collaborating closely, and building shared context.What You Can ExpectCompetitive salary, benchmarked to the marketEquity / share options, so you share in the upside you help create30 days’ holiday + bank holidaysGenuine 9–5 working hours — we don’t expect late nights or weekend workWork hard in the office, collaborate closely, and switch off properlyDog-friendly office — bring your dog to workDaily lunch providedMonthly team breakfastsMonthly socialsPensionHigh-quality equipment to do your best workWe care about focus, sustainability, and doing great work — not performative overwork. We value people who show up, contribute thoughtfully, collaborate well with their colleagues, and then go home.This role won’t suit everyone. But if you want structure, clarity, strong collaboration, and a team that takes both the work and work-life balance seriously, it’s a great place to be.