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Cosine is a UK AI lab building frontier models, coding agents, and AI-native security products for mission-critical organisations. They are training Lumen Sovereign, the first frontier large language model trained in the UK with UK Government support, and serve enterprise customers including those operating under strict security and regulatory constraints.
You will be the Technical GTM Lead, sitting at the intersection of customers, sales, product, engineering, and machine learning. This is a highly hands-on role, not a traditional solutions consultant position. Your responsibilities span four core areas:
**Make Cosine Real for Customers:** Lead technical demonstrations and evaluations for prospective enterprise customers. Understand their development environments, architectures, security models, and constraints, then tailor conversations accordingly. Explain Cosine's products, models, integrations, deployment options, and security considerations with accuracy and confidence. Design and run technical evaluations, pilots, and proofs of concept. Work alongside the commercial team to convert technical interest into customer momentum.
**Build the Technical GTM Engine:** Create high-quality demo environments showcasing Cosine's capabilities. Build reusable repositories, workflows, and customer scenarios across the coding agent, desktop application, and Sparklr model-training platform. Develop technical materials helping the GTM team explain and position Cosine effectively. Collaborate with Product, Engineering, and ML to turn new capabilities into compelling customer-facing demonstrations. Create technical content including blogs, product pages, webinars, and enablement materials.
**Get Customers Successfully Deployed:** Own the technical side of customer onboarding from initial architecture conversations through working deployment. Help customers integrate Cosine with existing repositories, development environments, infrastructure, and enterprise systems. Support deployments across cloud, VPC, on-premise, and other controlled environments. Troubleshoot issues directly and coordinate with Engineering for deeper product support. Lead onboarding sessions and become a trusted technical counterpart for customer engineering, platform, security, and AI teams.
**Connect Customers, GTM, and Product:** Act as the primary technical bridge between GTM and Cosine's Product, Engineering, and ML teams. Bring structured customer feedback into the product organisation, including recurring questions, blockers, feature requests, and deployment issues. Identify patterns across customer conversations and distinguish one-off requests from strategically important product gaps. Help GTM understand new technical capabilities and their customer implications. Help Product and ML understand what enterprise customers need to adopt Cosine.
**Raise the Technical Bar:** Become the first port of call for technical questions from the commercial team. Build depth across Cosine's products and underlying technology to explain not only what they do, but how and why they work. Help the GTM team communicate technical capabilities accurately and avoid overpromising. Train, document, and support the wider commercial organisation. Create a culture where technical rigour and commercial momentum reinforce each other.
In your first three months, you will become the person the GTM team relies on for difficult technical customer conversations, independently run excellent demonstrations across Cosine's core products, build a useful library of repeatable demo environments and technical assets, reduce friction in getting enterprise customers deployed, establish a strong feedback loop between customers and product teams, and give the commercial team confidence in engaging with technically sophisticated customers.
**Requirements:**
- Background in software engineering, solutions engineering, forward-deployed engineering, developer tooling, technical product, or similar technical customer-facing roles
- Comfortable reading, writing, and debugging code
- Working knowledge of Git, CI/CD, APIs, containers, and cloud infrastructure
- Understanding of enterprise deployment architectures including cloud, VPC, and on-premise environments
- Ability to speak credibly with software engineers, platform teams, security teams, and technical executives
- Ability to learn complex products quickly and explain them clearly
- Comfortable debugging ambiguous customer problems and finding practical paths forward
- Ability to move between customer meetings, terminal work, and conversations with ML/Product teams without losing context
- Sound technical judgement and intellectual honesty
- Experience with LLMs, coding agents, ML infrastructure, or enterprise AI deployment is valuable but not required
- Deep curiosity, technical ability, and strong customer instincts are more important than category-specific experience
- No requirement to be an ML researcher or infrastructure expert, but must be able to go deep when required and find answers quickly
