Top Tech Jobs & Startup Jobs in London

Partner with founders and leadership to set strategic priorities, run planning cycles and OKRs, manage executive cadences, lead complex cross-functional initiatives, and build scalable systems and workflows. The role also develops board and all-hands narratives, resolves ambiguous business challenges, and drives company-wide execution across a growing B2B SaaS organization.

Leads and scales enterprise implementation for a B2B SaaS benefits platform. Builds the operating model, standards, reusable components, AI-enabled delivery processes, and partner-led implementation framework. Owns customer delivery from enterprise sales through go-live, including timelines, quality, revenue launch, and executive relationships. Leads 8–10 Implementation Managers, develops the team, and partners with commercial, customer, and product leaders to improve the broader customer journey.

Own HubSpot and revenue operations data, including data hygiene, workflows, lead scoring, routing, dashboards, reporting, user access, and tooling support. Partner with sales, marketing, and customer success to improve forecasting and lead-to-revenue processes. Maintain GTM documentation, onboard new users, troubleshoot integrations, and experiment with AI to automate administration and improve routing and reporting.

Leads the company-wide applied AI transformation, redesigning workflows across customer operations, finance, people, and commercial functions. Owns AI strategy, implementation, adoption, standards, guardrails, and evaluation systems for internal operations. Partners with founders and executives to make the business AI-native, improve efficiency, and ensure AI systems are trusted, compliant, and effective in live workflows.

Build and operate reliable production data pipelines, ingestion systems, orchestration, customer data connectors, and infrastructure as code. Manage AWS-based data infrastructure using Terraform, Fivetran, AWS DMS, dbt, PostgreSQL, Lambda, and related services. Develop secure, enterprise-grade integrations for HR and payroll systems, and help connect trusted data to AI agents through MCP connectors and semantic data layers. Collaborate with product stakeholders to design scalable solutions meeting enterprise security and reliability standards.

Build and ship backend-leaning fullstack features (APIs, services, integrations, React frontend). Scope solutions, implement, and own features end-to-end. Collaborate with product and design, contribute to architecture and technical discovery, ensure scalability, reliability, and security best practices, and improve developer experience and tooling.