Top Tech Jobs & Startup Jobs in London

Build and deploy production-grade AI agents, LLM pipelines, integrations, and GTM workflows for sales, customer success, and marketing. Own architecture, prototyping, evaluation, deployment, observability, data quality, and enablement. Integrate Salesforce and GTM tools, transform revenue and customer data into signals, automate workflows, evaluate new technologies, and improve productivity, pipeline acceleration, renewals, expansion, adoption, and data quality.

Own customer commercial outcomes from onboarding through renewal and expansion. Drive product adoption, retention, net revenue retention, measurable customer value, and expansion opportunities by analyzing usage, engagement, and health data. Act as a trusted advisor to revenue leaders, inform product and go-to-market strategy, mitigate churn, and grow portfolio revenue while developing toward broader commercial leadership.

Own the full B2B SaaS sales cycle from prospecting through closing, managing revenue targets and building inbound and self-sourced pipeline. Engage VP and C-level executives, uncover commercial challenges, tailor sales processes, lead strategic product discussions, handle objections, develop onboarding plans, and close contracts. The role also involves exceeding quarterly targets, serving as a trusted advisor, and helping shape the team’s sales culture and playbook.

Lead and grow a high-performing new-logo sales team while carrying an individual quota. Responsibilities include hiring, coaching Account Executives, leading executive-level sales conversations, closing complex B2B SaaS deals, managing forecasting and pipeline health, and developing repeatable go-to-market playbooks.

Own a revenue quota by selling new Planhat products to existing customers across EMEA. Responsibilities include prospecting, pipeline creation, discovery, business-case development, negotiation, closing, and strategic engagement with senior technology and AI company stakeholders. The role partners with Growth, Deployment, Sales, and Product teams to identify customer value, build repeatable sales processes, and drive incremental revenue.

Owns end-to-end customer deployments, including scoping, solution design, configuration, integrations, automation, and go-live. Translates business strategy into scalable technical solutions, builds AI-powered workflows, and applies analytics to improve customer outcomes. Partners with Sales, Customer Success, and Product while serving as a trusted technical advisor and contributing to deployment frameworks and playbooks.

The Business Development Representative identifies and engages prospects through calls, email, and LinkedIn; builds relationships with Customer Success leaders; qualifies executive needs across industries and company sizes; and creates qualified pipeline for Account Executives. Success involves meeting pipeline targets, supporting discovery calls, developing trusted internal and external relationships, and progressing toward Account Executive or leadership roles.

Owns client deployment lifecycles from scoping and solution design through configuration, integrations, and go-live. Translates business strategies into scalable technical solutions, builds AI-powered workflows and automations, and uses analytics to drive customer impact. Partners with Sales, Customer Success, Product, and customers to deliver sophisticated implementations, improve deployment playbooks, and expand technical and commercial capabilities.

Own product design across complex enterprise workflows involving data, automation, AI, and permissions. Create scalable design systems and pixel-perfect, information-dense interfaces while working hands-on with Vue, Tailwind CSS, and TypeScript. Partner with product, engineering, and creative teams to elevate product quality, improve design processes, and increase shipping speed. Strong product sense, UI craft, systems thinking, and familiarity with AI coding tools are essential.

Lead end-to-end AI deployment engagements for enterprise customers using Planhat. Responsibilities include structuring ambiguous problems, facilitating workshops, mapping commercial workflows, designing AI and automation use cases, configuring and testing solutions, managing delivery, advising executives, driving change adoption, and partnering with Product and Engineering to improve deployment methods and platform capabilities.