Product Manager – Innovation (Supply, Trading & Shipping)

Admiralty Arch
3 weeks ago
Applications closed

Related Jobs

View all jobs

Product Manager

AI Product Manager – Legal only

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Entity:

Supply, Trading & Shipping
Job Family Group:

Supply & Trading Group
Job Description:

We are looking for a Product Manager - Innovation to join our Supply, Trading & Shipping (ST&S) team as we strive to transform and connect the global energy market. This is an opportunity to be at the centre of delivering innovation and value.

The business-led innovation team (Vista) within ST&S is set up with the mission to help future-proof the organization. We set out to answer three questions:

How can technologies today solve yesterday’s problems faced by ST&S?

How can technologies of tomorrow give us a commercial competitive edge today?

What do we need to do/think/behave differently in a rapidly evolving business landscape?

Vista is an agile, impactful, and solution-agnostic team focused on identifying and using innovative technologies, business models, and ecosystem partnerships to address commercial opportunities.

To support the ST&S business, Vista is seeking an experienced and proactive Product Manager to lead digital product delivery in the London Canary Wharf office. We offer a hybrid working environment to enable you to integrate your work and personal life.

Reporting to the Innovation Implementation Lead, you will be empowered to:

Develop an understanding of the ST&S business—its workflows, strategic goals, and how Vista products and prototypes support business goals, constraints, and commercial drivers.

Work collaboratively with Vista Originators, Ecosystem colleagues, and ST&S partners to build strong relationships, uncover innovation opportunities, and drive ideation sessions that identify business problems and creative solutions.

Build a deep understanding of users and their needs, shaping clear and commercially sound business value cases behind opportunity requirements.

Bring design-thinking and technical know-how to define, bring together, and align product requirements (functional and non-functional) with business value.

Create and be responsible for the product roadmap—prioritising features, handling the backlog, and adapting plans quickly in response to shifting needs or insights.

Communicate progress and timelines clearly and frequently to customers, Vista leadership, and collaborators—responding to feedback in a constructive way.

Advocate for Agile methodologies and lead team ceremonies to drive collaborative, iterative delivery.

Collaborate with global colleagues across design, engineering, data science, security, procurement, and legal to deliver innovative products at pace.

Partner with engineering teams to ensure delivery clarity and address blockers in a timely and proactive manner.

Conduct user testing and feedback sessions, assess delivery outcomes, and make evidence-based decisions to enhance, pivot, or retire products.

Continuously seek ways to improve processes and work closely with supporting functions to evolve them in line with Vista’s innovation remit.

Stay informed on industry trends, competitor movements, and emerging technologies—building relationships with internal and external innovation partners to bring new ideas that keep ST&S ahead of the curve.

Skills and Experience

Essential

Minimum 3–5 years of experience as a product manager, ideally in a digital or technology-focused environment.

Ability to shape ambiguous ideas into testable opportunities and guide them through product development to scale.

Comfortable with Agile methodologies, user-centric design, and continuous improvement practices.

Strong commercial awareness with a sharp focus on linking business needs to roadmap priorities and identifying high-impact opportunities.

Proficient in product management tools (e.g., Azure DevOps) and familiar with software development lifecycles.

Skilled in writing clear Epics, Features, User Stories, and UAT criteria, and in preparing concise project updates for varied audiences.

Confident running multiple projects across time zones, with strong organizational and time-management skills.

Excellent communicator and collaborator, able to engage with both technical and non-technical partners in a global team (US, UK, Singapore).

Desirable

Experience as a Product Manager or Business Analyst in a commodity trading or energy business.

Background in delivering AI-enabled products and a good understanding of AI technologies.

Degree in Business, Computer Science, or an equivalent area

Product management certifications are a plus.

Why join us?

It’s crucial to us that the differences we see in the world around us are reflected in our workplace. Who you are is what counts, not where you’re from or how you live your life. At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!

Travel Requirement

Negligible travel should be expected with this role
Relocation Assistance:

This role is not eligible for relocation
Remote Type:

This position is a hybrid of office/remote working
Skills:

Agile Methodology, Azure Devops, Commodity Trading, Innovation, Innovative Technologies, Product Management, Technology Product Management
Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please .

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.