Technical Program Manager

Key Responsibilities

• Own the day-to-day running of COE projects — running regular check-ins with each project pair, tracking progress against milestones, and flagging risks or blockers to the Programme Director.
• Manage access and tooling logistics (GitHub, cloud environments, product access) and resolve practical issues directly, escalating anything more complex to the relevant technical lead.
• Liaise with clients and internal stakeholders to follow up on outstanding questions or requirements needed for projects to progress.
• Maintain project documentation (plans, timelines, milestones, meeting notes) and produce regular status reports for the Programme Director, including input into programme governance and IP processes.
• As academic partnerships (UG/Master's projects, PhD studentships) come online, provide similar day-to-day coordination for those initiatives. Essential Criteria Technical Skills
• Advanced proficiency in Python, including debugging and code review.
• Proficiency in Git/GitHub, including code review workflows and repository administration.
• Familiarity with at least one major cloud platform (Microsoft Azure or Google Cloud Platform) — comfortable provisioning access and understanding how environments are used.
• Strong working knowledge of the LLM/AI landscape, including model APIs and common ML/AI tooling.
• Proficiency with SQL and REST APIs.
• Working knowledge of delivery and collaboration tooling: Jira (or equivalent), Confluence/Notion, Slack/Teams, Microsoft 365 and Google Workspace.
• Knowledge of Rezolve Ai and its products or a genuine willingness to learn quickly. Experience & Delivery
• 2–3 years' experience in a software engineering or broader technical capacity, with exposure to project or programme coordination, ideally within a technology, R&D, or data/AI environment.
• Strong stakeholder management skills, with confidence liaising across clients, technical teams, and senior leadership.
• Excellent organisational skills, with experience managing multiple concurrent projects or workstreams.
• Strong written and verbal communication skills, including experience producing clear status reports and meeting documentation.
• Comfortable working in a fast-paced, evolving environment with early-stage or ambiguous problem statements.
• A degree in a STEM or related discipline, or equivalent professional experience.
• Based in the UK (London), with the ability to attend the Rezolve AI office in person 1–2 days per week. Desirable Criteria
• Some exposure to Agile/Scrum delivery (sprints, stand-ups, retrospectives) in a technical setting.
• Hands-on exposure to LLM or generative AI projects — e.g. supporting model evaluation, data collection, or applied research workstreams.
• Prior experience working with academic or research partnerships (internship programmes, thesis projects, PhD studentships, or university collaborations).
• Retail, e-commerce, or CPG domain knowledge.