Top Tech Jobs & Startup Jobs in London

Lead and coach a Mid Market sales team to achieve ARR targets through new logo and expansion deals. Own forecasting, pipeline management, recruiting support, and sales playbook development. Work cross-functionally to refine processes, enable consultative selling, and drive adoption of Harvey's AI solutions within mid-sized law firms and in-house legal teams.

Lead and coach a team of SMB Account Executives across EMEA to sell Harvey's AI platform to law firms and legal teams. Own territory planning, pipeline development, forecasting, and revenue execution. Drive a disciplined sales process (MEDDPIC), run operating cadences, engage in strategic deals as a player-coach, and hold the team to performance and forecasting standards.

Lead strategic partner pursuits from planning through execution: identify and evaluate partnerships, negotiate complex agreements, build executive relationships, create business cases and quantitative analyses, and collaborate cross-functionally to integrate partner capabilities and drive GTM outcomes.

The User Operations Specialist provides empathetic frontline support, resolving technical inquiries and collaborating with teams to enhance customer experience while managing multiple priorities.

As an Enterprise Customer Success Manager, you'll integrate AI in legal workflows, guide customers, build relationships, ensure value realization, and work with sales teams for expansions and renewals.

Build and scale EMEA growth marketing: localise global campaigns, improve lead capture/routing/measurement, create regional reporting and repeatable playbooks using data, automation and AI to drive pipeline and revenue.

Own full lifecycle of Harvey's academic partnerships in the UK and international markets: sign and onboard schools, manage faculty and admin relationships, run trainings and ambassador programs, advise on curriculum integration, build market playbooks, and coordinate cross-functional launches across Europe and APAC.

Lead and coach a high-performing user operations/support team to meet SLAs and quality goals. Oversee day-to-day support, drive process improvements, automation, and resource planning. Partner with Product, Engineering, and GTM to triage escalations, analyze metrics to identify gaps, implement SOPs, and hire and develop team members to scale global support.

Lead escalation owner for complex, high-impact technical support cases on AI/ML products. Troubleshoot integrations and APIs, run live customer calls, manage bug lifecycle with Product and Engineering, mentor peers, improve team playbooks, and surface patterns to reduce repeat issues and improve operational efficiency.

Provide commercial legal support for AI SaaS contracts: draft, review, and negotiate agreements; help establish the EMEA legal function; and handle other legal issues as needed in a fast-growing startup.