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Technical Product Manager

Technical Product Manager
Management Consulting
Temp & Contract
Temp & Contract
Contract/Temp
£500 - £600
London
London
DC

Working with a SaaS business, the Product Manager will eb responsible for managing the full lifecycle of numerous data-driven platforms for their clients. The successful applicant must have experience with data warehouse environments or come from a technical background (started in development and then moved into product).

 

Main Responsibilities

  • Manager the product vision and direction to achieve key objectives
  • Take ownership of key product objectives, taking on the responsibility for business and customer outcomes
  • Engage in market, competitive, and user research to deeply understand customer’s needs and problems
  • Contribute to the product roadmap by prioritizing the main areas of focus for products based on user and buyer value, business viability, and time to impact
  • Ideate and collaborate closely with design, development, and data science to come up with and test innovative solutions to problems that work for our customers and business
  • Contribute to the product development lifecycle by gathering customer feedback, writing and prioritising user stories, and ensuring the customer’s needs are met through constant iteration
  • You’ll measure and report on user success based on usage statistics, analytics, and feedback#

 

Requirements

  • Previous experience working in a product position within B2B SaaS environment (unfortunately retail or eCommerce environment will not be suitable)
  • Must have experience working in big data sets environment or started career in technical development background before moving into product
  • Working experience with market research to understand and clearly articulate to the business a market opportunity, competitive analysis, or customer need or problem.
  • You always champion the customer, market, and product vision to everyone in the building and constantly gather feedback from everyone.
  • Have previously built business cases and worked on value-based pricing.
  • Accustomed to working with data scientists, or AI product developers.