Founding Solutions Engineer - (Enterprise) in Harrow on the Hill

Location: London; full in-office working as default

Start date: ASAP

Reports to: CTO, with dotted line to CRO and CEO

Compensation: £60k–£90k base (potential to go higher depending on experience) plus equity

At 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.

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 role:

• Support enterprise evaluations and pilots (core responsibility)
• Act as a technical counterpart to enterprise engineering teams during evaluations, pilots, and early deployments
• Join architecture reviews, technical deep dives, and security-focused conversations
• Explain how Cosine works in practice: its agent architecture, training approach, evaluation methods, and operational constraints
• Help teams understand where Cosine excels, where it currently has limits, and how to evaluate it responsibly
• Identify 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
• Translate research-level concepts into content that CTOs, Staff+ engineers, and technical evaluators can reason about
• Create clear diagrams, walkthroughs, and examples that help engineers form accurate mental models
• Produce 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 assistants, and narrow benchmark-driven tools
• Maintain a consistent voice that emphasises credibility, honesty, and depth, especially for regulated enterprises
• Capture and feed back real-world technical insights
• Share structured feedback with product, research, and engineering teams
• Produce early technical case studies and evaluation write-ups

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 You:

• Have 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 modes
• Are 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 environments
• Can engage directly with senior engineers and architects at large enterprises, explain complex systems clearly, and earn trust in high-stakes technical conversations
• Enjoy being close to the action: joining pilots, and technical deep dives to understand where real teams struggle, what they distrust, and what actually blocks adoption
• Can independently investigate a technical topic and turn that understanding into clear explanations, diagrams, and written or video content
• Are 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 limits
• Are 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 cases
• Want 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 matter
• Experience 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 Working:

We’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 Expect:

• Competitive salary, benchmarked to the market
• Equity / share options, so you share in the upside you help create
• 30 days’ holiday +