Gousto
Food And Beverages
SeniorProductManager
“Senior Product Manager at Gousto. Skills: Product Management, Product Strategy, Roadmap Development, Product Execution, Stakeholder Management, Data-Driven Decision Making, Customer Focus, Cross-functional Collaboration. shape and deliver product strategy, roadmap and execution. balancing customer needs, commercial objectives and operational impact to create measurable outcomes across the business”
What You'll Achieve.
create measurable outcomes across the business; deliver measurable outcomes
Industry & Context.
Able to break down complex problems into clear, incremental opportunities that create value for customers and the business
What They're Looking For.
Must Have
Experienced Product Manager with 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 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
What You'll Do.
shape and deliver product strategy
roadmap and execution
balancing customer needs
commercial objectives and operational impact to create measurable outcomes across the business
identify the highest-impact opportunities
validate solutions through discovery and experimentation
continuously improve the customer experience and product performance
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
How You'll Work.
Team & Collaboration
work closely with engineering, design, data, operations, proposition and commercial teams; Experienced working cross-functionally with engineering, design, data and business stakeholders to deliver measurable outcomes; A stakeholder manager, able to build trust, influence decisions and align teams around shared goals; Comfortable engaging with technical concepts, constraints and trade-offs in close partnership with engineering teams
Communication Scope
An excellent communicator, able to explain product narratives, priorities and trade-offs clearly and concisely
Process & Methodology
developing product strategies, roadmaps, delivering customer-facing or internal products end-to-end, creating clarity in ambiguous, fast-paced environments, bringing structure to complex or evolving environments, breaking down complex problems into clear, incremental opportunities, using discovery, experimentation and iterative delivery approaches to validate solutions, reduce risk and drive continuous improvement
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