Jobs at Semble

Own full sales cycle for mid-market B2B SaaS accounts (£16k–80k ACV). Build and manage a self-sourced and inbound pipeline, qualify opportunities, run multi-stakeholder deals, produce business cases, forecast accurately, and close to hit new ARR targets. Regular UK customer visits and hybrid London office attendance required.

Own a mid-market portfolio (£16k-£60k+ ARR), covering full lifecycle from onboarding to renewal. Protect and grow NRR through adoption, expansion, and stakeholder management across complex, multi-site healthcare accounts, coordinating across Sales, Product, Support and Marketing while using AI to drive insight and efficiency.

Lead product marketing and go-to-market for a multi-segment healthtech platform: own end-to-end launches, build TCO/ROI value frameworks and competitive sales enablement, translate technical product and AI capabilities into buyer-focused messaging, and produce launch assets while working closely with Product, Sales, and CS to drive adoption and upsell.

Lead product strategy and full lifecycle for a HealthTech SaaS platform, prioritizing clinical workflows, cross-functional delivery, data-driven backlog decisions, and product performance monitoring to improve clinician efficiency and patient outcomes.

Lead evolution of test automation and a Quality Agent system. Design and maintain a stable Playwright/TypeScript framework, improve CI quality gates, rationalise E2E tests, expand coverage using AI-assisted workflows, and run non-functional testing proofs. Coach teams on test design and contribute to company-wide quality strategy and tooling decisions.

Support customer onboarding and data migrations for a SaaS clinical system. Coordinate migrations (majority focus), manage migration inbox, configure templates, liaise with vendors, run French/English client meetings, maintain documentation and migration plans in HubSpot and Jira.

Provide bilingual (French/English) customer support across email, phone and digital channels for a B2B SaaS healthcare platform. Own tickets end-to-end, support onboarding and training, create knowledge articles, surface product feedback to Product and Engineering, monitor queues, identify trends and use AI tools to improve productivity while maintaining empathetic, high-quality support.