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Product Lead: Machine Learning

4 months ago


Cape Town, South Africa JenRec Recruitment Full time
  • Create and facilitate the delivery of the Machine Learning roadmap for the company's key AI focus areas.
  • Work hand-in-hand with a team of dedicated machine learning engineers, aiming to deliver projects reliably against projected roadmap timelines.
  • Drive adoption and integration of machine learning project outputs from your machine learning team by other internal non-machine learning software engineering teams.
  • Own and drive agile events like Sprint Grooming and Sprint Planning to facilitate project breakdown and effective sprint prioritisation towards timely execution.
  • Contribute to and challenge technical design decisions for relevant projects.
  • Ensure consistency of design patterns across your product portfolio.
  • Balance longer-term product vision and goals with short-term wins.
  • Take accountability for the overall delivery of each project committed to the roadmap.
  • Ensure relevant stakeholders for specific vertical(s)/roadmap(s) are correctly identified and consulted.
  • Work closely with relevant business units to identify opportunities for driving meaningful business results through machine learning solutions and then work with stakeholders to prioritise projects for roadmap inclusion.
  • Collaborate with business stakeholders to identify key business needs, market trends, and opportunities to inform product strategy and prioritisation.
  • Determine what data needs to be gathered to inform decision-making around product requirements.
  • Gather and use quantitative and qualitative data to help formulate product requirements.
  • Suggest ideas to solve stakeholder challenges and validate them with metrics in close collaboration with stakeholders.
  • Define and report the success metrics of each project on your roadmap against business goals.

Attributes Required:

  • This is a broad portfolio, which requires a candidate with a broad range of skills and experiences.
  • Ability to distill technical subjects to their fundamental concepts, to facilitate the effective exchange of ideas between business stakeholders and software development teams.
  • Strong commercial acumen for understanding the factors driving business success in a fast-paced e-commerce environment
  • Be comfortable with data deep-diving, individually and collaboratively, to generate product-level insights.
  • Being proactive in exploring your problem space and surroundings, in support of the product vision and roadmap of your teams.
  • Collaborate with engineering teams to reduce uncertainty and set actionable deliverables.
  • Has a drive to actively unlearn and relearn mental models for as long as there is supporting data