At a Glance
- Tasks: Lead the product lifecycle for GenAI tools, collaborating with data scientists and stakeholders.
- Company: Join Vitol, a global leader in energy and commodities with a collaborative culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Be part of a small, innovative team tackling industry challenges.
- Why this job: Shape the future of AI in the energy sector and make a real impact.
- Qualifications: 3+ years in product management, strong communication, and project management skills.
The predicted salary is between 70000 - 90000 £ per year.
Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities, including metals, to consumers and industry worldwide. In addition to its primary business, trading, Vitol is invested in infrastructure globally, with $13+billion invested in long-term assets. Vitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2024 were over $330bn.
We are looking for a pragmatic GenAI Product Manager to join our global Data Science team. This role will own the product lifecycle for Vitol's key GenAI assets, working closely with data scientists, machine learning engineers, and commercial stakeholders across trading, operations, and support functions. This is a hands-on role that combines traditional product management with project management. You will be responsible for translating business needs into product requirements, managing delivery timelines, and ensuring our GenAI tools deliver measurable value to the business. As our AI portfolio continues to grow you will help shape the roadmap, prioritise features, and drive adoption across the organisation.
The successful candidate will join a small, collaborative team of experienced practitioners who are solving some of the most challenging and impactful problems the energy industry is facing, as well as pushing the boundaries around the 'art of the possible'. As a small team, everyone is expected to organise, prioritise and execute their own work with a strong focus on maximising business value.
Key Accountabilities
- Define and communicate the product vision, strategy, and roadmap for Vitol's GenAI portfolio in collaboration with the Data Science leads.
- Capture, document, and prioritise requirements from commercial stakeholders across trading, operations, and support functions, translating business needs into clear specifications for data scientists and engineers.
- Help manage the end-to-end project lifecycle for AI initiatives, from scoping and planning through to delivery and post-launch evaluation.
- Act as a key liaison between the Data Science team and business users, ensuring alignment on priorities, timelines, and expectations.
- Drive user adoption of AI tools across the organisation, developing training materials, gathering feedback, and iterating on product features.
- Coordinate with technology teams on application integration, data sourcing, infrastructure, and tooling requirements.
- Track and report on product performance, usage metrics, and business impact to senior stakeholders.
- Identify opportunities for new AI applications that address commercial challenges and contribute to Vitol's competitive advantage.
Qualifications
- Minimum 3 years of experience in product management, with demonstrable experience managing technical products (AI/ML, analytics).
- Strong requirements capture and documentation skills; ability to translate loose business needs into structured specifications.
- Experience managing projects with cross-functional teams, including delivery planning, stakeholder management, and risk mitigation.
- Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders.
- Analytical mindset with the ability to use data to inform product decisions and measure success.
- Self-motivated and comfortable working autonomously in a fast-paced, entrepreneurial environment.
- Team player with an open, non-political style and high level of personal integrity.
GenAI Product Manager in London employer: Vitol
Vitol is an exceptional employer for a GenAI Product Manager, offering a dynamic and collaborative work environment within the global Data Science team. Employees benefit from hands-on involvement in innovative AI projects that directly impact the energy industry, alongside opportunities for professional growth and development. With a strong focus on maximising business value and a culture that encourages autonomy and teamwork, Vitol stands out as a place where your contributions truly matter.
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We think this is how you could land GenAI Product Manager in London
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We think you need these skills to ace GenAI Product Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vitol. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vitol
✨Brush Up on Your Statistics
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