This isn’t a “go execute someone else’s motion” role. You’ll define ICP, build pipeline from zero, close the first US logos, and lay the foundations for a revenue team. There’s a clear path to VP/Head of Revenue as the team scales. The comp reflects the ambition: $150–180K base, $250–320K OTE, equity with a 5-year exercise window.

Our client is a high-growth, London-founded HR Tech platform building agentic AI for the way enterprises actually work: automating workflows across HR, Finance, and Ops. They’re backed by the founders of Slack, Figma, and Shopify, have raised $20M, and already have paying customers like Lovable, Poolside, and Quantexa. Now they’re building in the US and you’d be their first commercial hire here.

You’ll own full commercial motion of their proprietary product in the US: outbound prospecting, full-cycle selling, early design-partner deals, and GTM asset creation (decks, demos, POVs). You’ll be the direct line between US customers and the product team, feeding in what the market needs. No SDR support. No pre-built pipeline. That’s the point.

📍 San Francisco. On-site Mon–Thu. No visa sponsorship.

You’ve closed $100K+ ARR deals with C-suite or VP buyers: ideally in HR, Finance, or Ops. You’ve been a first or founding sales hire before, and you’ve thrived. You build outbound pipeline from scratch and don’t need a warm brand to get meetings. You’re comfortable selling in a category that’s still being defined, and you can hold a credible conversation about agentic AI with technical and non-technical buyers alike.

You actively use AI tools such as Clay, ChatGPT, and Perplexity in your daily workflow.

This isn’t for someone who needs structure to perform. It’s for someone who finds ambiguity energising and ownership motivating.

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.

You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.

This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

Key attributes of a suitable AI Engineer include:

• Strong Data Science Foundations– bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
• Passion for Cutting-Edge AI– You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
• Client-Centric Problem Solver– You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.

You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises.

This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

Key attributes of a suitable Senior AI Engineer include:

• Strong Data Science Foundations– bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
• Passion for Cutting-Edge AI– You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
• Client-Centric Problem Solver– You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

As Lead AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

Key attributes of the suitable Lead AI Engineer include:

• Technical Data Expertise– Strong background delivering production-grade solutions, ideally within consulting or product-led environments
• Agentic AI & Modern AI Systems Experience– Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks
• Delivery Leadership & Client Ownership– Comfortable leading teams while remaining technically involved and managing client relationships post-sale

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and decision intelligence.

Their technology is trusted by leading global clients across healthcare, financial services, and enterprise sectors, and they are now entering an exciting new phase of growth.

As Finance & Revenue Systems Lead, you’ll partner closely with the CFO to own the company’s finance and revenue systems. Your initial focus will be leading ERP selection, technical due diligence, and migration to a modern AI-native platform, building a scalable foundation across core systems.

From there, you’ll drive automation across finance (close, AP, treasury, reporting) while owning the end-to-end quote-to-cash lifecycle from CRM through to billing and collections. You’ll also support the build of a clean FP&A data layer and work with engineering to deploy AI-driven workflows — scaling the function through systems, not headcount.

Key attributes of the suitable Finance & Revenue Systems Lead include:

• Finance Systems & ERP Experience – Proven experience leading ERP implementations or migrations and owning finance systems architecture
• Revenue Systems Knowledge – Experience connecting CRM and billing systems, with a strong understanding of quote-to-cash processes
• Automation-First Mindset – Track record of improving workflows through automation, tooling, and scalable systems
• Technical Finance Background – 3–6 years in finance systems, RevOps, or technical finance operations, with a modern, AI-enabled approach

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

As Lead Data Scientist, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

Key attributes of the suitable Lead Data Scientist include:

• Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments
• Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks
• Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale

A leading UK Property Tech business connecting consumers and industry professionals through innovative digital platforms. Backed by strong investment, they are shaping a more connected and transparent property market.

You’ll play a key leadership role within Analytics, supporting the Head of Analytics while overseeing the delivery of high-impact insight and analytics solutions across financial services and property data.

Working closely with key customers, commercial teams, and product stakeholders, you’ll translate complex challenges into actionable insights, help drive innovation, and identify new opportunities to deliver value through data.

Key attributes of the suitable Analytics Manager include:

• Some experience in management consulting and/or financial services analytics or decision science
• Strong technical skills across Excel and SQL (Python ideal), with proven analytical problem-solving
• Confident in client engagement, data storytelling, and presenting insights clearly
• Demonstrated team leadership experience, managing and developing analysts
• Ideally, exposure to property, mortgages, or housing market data (preferably)

This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.

Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.

As Lead Data Scientist, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.

You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.

Key attributes of the suitable Lead Data Scientist include:

• Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments
• Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic frameworks
• Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale