Senior Product Manager

Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It’s an incredibly exciting time to join our team - and we’re a friendly bunch! We’re proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we’re a recipe box company that’s disrupting the sector, and we’re passionate about our diverse team and our customers. All of our people are responsible for the success of Gousto, and we’re passionate about creating an inclusive environment for all to thrive. Our guiding values - Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with.

Location: London, Hybrid - 1 / 2 days per week in the office

We’re thrilled to offer an exciting opportunity for a Senior Product Manager to join Gousto and own a meaningful product area that sits at the heart of our customer and commercial growth. In this role, you’ll shape and deliver product strategy, roadmap and execution, balancing customer needs, commercial objectives and operational impact to create measurable outcomes across the business. You’ll work closely with engineering, design, data, operations, proposition and commercial teams to identify the highest-impact opportunities, validate solutions through discovery and experimentation, and continuously improve the customer experience and product performance. This is a brilliant opportunity for someone who enjoys creating clarity in ambiguous, fast-paced environments, aligning stakeholders around a clear direction, and building scalable, sustainable solutions that support Gousto’s broader strategic goals.

• Collaborate with software engineers to adopt and embed data engineering best practices within the tribe, aligning with standards developed by the wider data engineering team.
• Work closely with Data Scientists to understand and deliver data requirements.
• Design and implement new data pipelines and services to meet the evolving needs of the business.
• Continuously improve and optimise existing data engineering pipelines and services for enhanced performance and reliability.
• Apply MLOps best practices to support the development and deployment of robust data science products.
• Champion data quality by creating processes and systems that ensure high data integrity and reliability.
• Deploy and monitor machine learning algorithms in production.

• Experienced Product Manager with strong product fundamentals, including developing product strategies, roadmaps and delivering customer-facing or internal products end-to-end.
• Comfortable navigating ambiguity, creating clarity and bringing structure to complex or evolving environments.
• Commercially and analytically minded, using data, insight and customer understanding to inform decisions and prioritisation.
• Experienced working cross-functionally with engineering, design, data and business stakeholders to deliver measurable outcomes.
• Able to break down complex problems into clear, incremental opportunities that create value for customers and the business.
• Confident using discovery, experimentation and iterative delivery approaches to validate solutions, reduce risk and drive continuous improvement.
• Confident applying AI day-to-day to drive product impact, from accelerating discovery and shaping requirements to prototyping solutions and improving team workflows.
• A strong stakeholder manager, able to build trust, influence decisions and align teams around shared goals.
• An excellent communicator, able to explain product narratives, priorities and trade-offs clearly and concisely.
• Comfortable engaging with technical concepts, constraints and trade-offs in close partnership with engineering teams.
• Experienced operating effectively in fast-paced, high-growth or rapidly changing environments.