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.

Senior Legal Counsel will advise Paddle’s global digital payments business across corporate governance, commercial contracts, financing agreements, regulatory matters, consumer regulations, data protection, privacy, and compliance policies. The role partners with teams across the company, supports the Director of Legal, supervises junior lawyers, and provides practical, commercially focused advice in a fast-growing, regulated technology environment.

Own and scale Paddle’s global B2B demand generation engine across product-led and sales-led motions. Lead paid media, SEO, ABM, lifecycle, web, funnel conversion, attribution, experimentation, and marketing infrastructure programs to drive signups, PQLs, SQLs, and revenue. Partner with Sales, Growth, Product Marketing, Brand, Web, and RevOps while building and coaching a high-performing team of channel owners and operations leaders.

Lead Paddle’s IT team and strategy while managing identity and access, Apple device administration, service delivery, automation, security practices, budgets, vendors, and IT projects. The role combines people leadership and stakeholder management with hands-on escalation support. It will improve IT operations through data, automation, and AI while maintaining reliable, secure systems and effective support metrics.

Own Paddle’s organic search and AI discoverability strategy across traditional search, AI-generated answers, and LLM citations. Audit visibility, identify opportunities, prioritize content roadmaps, and translate performance data into recommendations for Brand, Product Marketing, and Growth. Steer content updates, contribute drafts using AI, define discoverability metrics, and connect organic visibility to commercial outcomes such as pipeline.

Create original editorial and product content, translating complex product ideas, customer problems, and technical details into engaging narratives. Develop stories for launches, campaigns, customer cases, and multiple channels while applying SEO and performance insights. Collaborate with product, marketing, communications, design, and subject-matter experts; maintain editorial standards and brand voice; and use AI tools and Figma thoughtfully.

Lead systems engineering initiatives across InfoSec and IT, focusing on automation, systems integration, Infrastructure-as-Code, cloud security, compliance controls, and secure AWS infrastructure. Build CI/CD pipelines, manage identity and security tooling, support GRC and audit activities, document operational processes, and mentor engineers. Partner with technical and business stakeholders to deliver scalable, secure improvements across enterprise and product environments.

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.

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.