Top Tech Jobs & Startup Jobs in London

Lead a product area end-to-end: define roadmap, run discovery, set OKRs, prioritise from customer insights, manage dependencies, partner with engineering and design, and build a 12–18 month AI-first product vision to deliver measurable outcomes.

Own Moss’s pricing and deal desk, approving non-standard pricing, discounts, and commercial terms while maintaining governance and deal velocity. Analyze discount discipline, price realization, deal structure, and win rates; develop segment-specific pricing guidance; coach sales representatives; and partner with Customer Success. The role also improves an AI-powered deal desk agent by reviewing its recommendations, correcting errors, and converting recurring exceptions into scalable rules and playbooks.

Design, build, and deploy AI-powered products using frontier LLMs. Create agents, RAG systems, and backend services; evaluate and improve model quality, ensure trust/privacy, and collaborate with product, design, and finance teams.

Prospect and create sales opportunities with CFOs and finance leaders across the UK using multi-channel outreach. Conduct market research, maintain accurate customer and pipeline data, optimize sales funnel processes, and collaborate with Account Executives and Marketing throughout the sales cycle. The role includes coaching and mentorship while developing sales expertise in a SaaS or FinTech environment.

Own full-cycle talent acquisition across Germany, the UK, and the Netherlands, including sourcing, screening, interview coordination, candidate management, and offer closing. Partner with leadership and hiring managers, advise on hiring decisions, improve recruitment processes, and share sourcing intelligence. Use AI tools such as Claude, ChatGPT, and n8n to improve recruiting efficiency. The role covers multiple functions and seniority levels, including C-suite hiring.

Lead end-to-end product design for AI-enabled finance and accounting products. Collaborate with PMs, engineers, and finance experts to build trusted agent-driven workflows, run evaluative research, prototype customer-ready AI demos, iterate with user feedback, and raise design standards across the team and design system.