Top Tech Jobs & Startup Jobs in London

Own the web growth design roadmap and improve the journey from first visit through lead capture, demos, signups, and trials. Design and iterate on landing pages, pricing, forms, and conversion flows using user research, funnel data, experimentation, prototyping, design systems, and AI tools. Collaborate with Growth, Marketing, Product, Data, Research, and Engineering to deliver accessible, polished, measurable experiences.

Owns the partner enablement program for Service Delivery Partners, including curriculum, certification pathways, webinars, self-led learning, onboarding, and quality monitoring. Manages partner relationships through quarterly business reviews, tracks certification and delivery performance, and provides targeted enablement. Collaborates with Deployment Services, Sales, Customer Success, Support, and R&D teams to improve client outcomes and relay partner and product feedback.

Lead the architecture and long-term technical strategy for Fin’s web platform and marketing growth surfaces. Drive scalability, performance, observability, reliability, developer productivity, MarTech, experimentation, analytics, and data instrumentation. Partner with marketing, design, analytics, data science, infrastructure, and engineering teams; mentor engineers; communicate technical trade-offs; and contribute hands-on to the codebase.

Own end-to-end product marketing for Operator, Fin’s AI agent for customer operations. Develop category-defining narratives, positioning, ICP and messaging; lead launches and go-to-market initiatives; create sales enablement, competitive positioning, web content, demos and other PMM assets. Partner with product, marketing, sales and leadership, conduct customer research, translate technical capabilities into clear value, and maintain messaging systems supporting Fin’s AI-first approach.

Lead product marketing for Fin’s Intercom helpdesk and AI-first customer support products. Own ICP definition, positioning, messaging, customer insights, launches, go-to-market strategy, sales enablement, and marketing assets. Partner cross-functionally with Product, Engineering, Sales, Customer Success, and Lifecycle teams to communicate product value, support retention and expansion, and establish Fin as the leader in AI-enabled helpdesk solutions.

Own the Messenger product channel for Fin, defining customer problems, roadmap, product vision, and release priorities. Collaborate with engineering, design, research, and cross-functional teams to build and launch AI-powered messaging experiences. Use customer research, data, and AI tools to guide decisions, measure outcomes, maintain product quality, and execute go-to-market strategies. Lead through influence, strong communication, ownership, and alignment with company values.

Own the vision, strategy, roadmap, and impact of a major AI platform or agent product area. Partner with ML scientists, engineers, researchers, designers, and cross-functional teams to turn advanced AI capabilities into valuable customer experiences. Lead experimentation, product launches, success measurement, performance evaluation, and iteration while ensuring safety, reliability, adoption, and business impact. Communicate decisions clearly, align stakeholders, and drive progress in an ambiguous, fast-moving environment.

Leads and scales EMEA Solutions Engineering, defining go-to-market strategy, coaching teams, supporting complex enterprise sales cycles, and delivering tailored AI platform solutions. Responsibilities include technical discovery, architecture, demonstrations, proofs of concept, business value assessments, executive customer engagement, reusable solution frameworks, verticalized assets, forecasting, and influencing product strategy. The role is a player-coach position requiring close collaboration with Sales, Product, Marketing, Engineering, Services, and Success.

Lead end-to-end deployments of Intercom and Fin for large customers, manage project scope and timelines, perform hands-on configuration and integrations, coordinate technical readiness and data migrations, track adoption and outcomes, and partner cross-functionally to deliver measurable AI-driven customer support results.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.