Top Tech Jobs & Startup Jobs in London

Lead the Checkout product strategy and roadmap at Paddle, managing its performance and commercial outcomes while collaborating across teams and using data to drive decisions.

Build and operate production AI systems for go-to-market teams, including account segmentation, scoring, enrichment, buying-signal detection, agentic workflows, prospect research, outbound personalization, call summarization, and CRM hygiene. Own solutions end to end from design through deployment, while optimizing quality, latency, cost, reliability, evaluation, monitoring, and guardrails. Collaborate closely with Marketing, Sales, RevOps, and system users to deliver measurable commercial impact.

Build Paddle’s data science function and production decisioning systems from the ground up. Prioritize high-value use cases, personally deliver the first ML or agentic system, and own deployment, monitoring, experimentation, reliability, governance, and financial impact. The role will establish the production ML stack, collaborate across Product, Engineering, Risk, Finance, and Compliance, then hire and lead data scientists and ML engineers. Experience with regulated transactional domains, production ML operations, experimentation, and executive stakeholder management is required.

The Senior FP&A Analyst partners with business and finance leaders to guide resource allocation, commercial strategy, forecasting, investment optimization, and strategic planning. Responsibilities include analyzing transaction-based metrics, building financial models and dashboards, developing business cases, supporting board reporting, improving unit economics, and translating complex financial insights into clear recommendations. The role also contributes to KPI development, cross-functional initiatives, and team capability building.

Own product marketing for the Experience product group by translating customer and market insight into positioning, messaging, segmentation, go-to-market plans, launches, enablement, adoption, and measurable commercial impact. Partner cross-functionally with Product, Engineering, Sales, Customer Success, Growth, Revenue Marketing, Brand, and leadership. Use research, competitive intelligence, data, and AI automation to influence product strategy and improve customer outcomes.

Own product marketing for Paddle’s Billing product group, including customer and market research, positioning, messaging, segmentation, launches, go-to-market planning, enablement, competitive intelligence, adoption measurement, and commercial initiatives. Partner cross-functionally with Product, Engineering, Finance, Sales, Customer Success, Support, and Marketing to improve customer outcomes, retention, and business impact. Use AI and automation to enhance research, analysis, and workflow efficiency.

Analyze financial and commercial data to drive revenue, pricing, and profitability decisions. Build and maintain BI dashboards, model pricing scenarios, identify cost-optimization opportunities, and partner with Data Engineering and cross-functional teams to operationalize insights and track long-term impact.

Own Paddle’s self-serve business line and commercial performance from acquisition through retention. Set strategy, optimize activation and time-to-value, define pricing and packaging, manage unit economics, shape demand, deepen partner channels, and lead cross-functional execution across Product, Engineering, Finance, Risk, Partnerships, and RevOps. Build experimentation, tooling, and tracking while using data and AI to improve conversion and profitable growth.

Generate qualified sales pipeline by researching target accounts, managing territories, prospecting across phone, email, social, video, and regional channels, educating prospects, and converting engagement into meetings for Account Executives. The role requires collaboration with Marketing on events, effective use of AI-powered workflows, consistent quota attainment, and a consultative approach to selling Paddle’s SaaS payment infrastructure.

Lead the Subscriptions engineering team to design, deliver, and scale recurring-billing products. Coach and manage engineers, partner with Product to set roadmaps, oversee technical strategy, improve reliability and scalability of high-traffic event-driven systems, and collaborate with cross-functional stakeholders including Design, Data, InfoSec, Platform, Finance, Risk, and Legal.