Job Description
You will communicate effectively with various levels of business and technology stakeholders including senior executives and foster productive working relationships and better decision-making.
What you will be working on?
- Drive the end-to-end AI & software product development process, from ideation to launch.
- Define and prioritize AI product requirements, user stories, and acceptance criteria based on customer and business needs, data, and feedback.
- Conduct user research, market analysis, and competitive benchmarking to validate hypotheses and inform product decisions.
- Measure and evaluate AI services performance, user behaviour, and customer satisfaction using qualitative and quantitative methods.
- Develop and maintain a AI/ML platform roadmap to guide the organization's AI/ML initiatives and ensure alignment with business objectives.
- Develop and execute comprehensive project plans, incorporating technical requirements, resource estimates, and timelines to ensure smooth delivery of technology solutions
- Act as Scrum Master / Product Manager utilising scrum, kanban & SAFe to deliver technical releases with Data Scientists, ML Engineers, Cloud Engineers & DXD.
- Identify and mitigate risks, proactively addressing potential roadblocks and implementing contingency plans to maintain project momentum
Required:
- Significant product & program management experience in the AI & software industry
- Self starter, ability to drive change in challenging and complex environments whilst delivering continuous results.
- Experience in organizing, researching and analysing client needs. You bridge the technical and business worlds, ensuring we are building the right products with a combination of vision, market/user/competitor research and usage metrics
- Experience in stakeholder management, with the ability to establish productive working relationships and influence decision-making across cross-functional teams and clients
- Experience in AI technical program management, leading complex technology projects and programs in a large organization
- Experience running agile within AI team & utilizing backlog refinement, sprint planning, stand ups, retrospectives & sprint reviews.
- You have strong leadership skills and the ability to independently own products or a portfolio of products end-to-end. You have a strong track record of product deliveries
- Knowledge of the ML workflow, spanning from annotation, model training, model serving, scoring, pre/post processing, productionization and feedback capture
Desirable
- Knowledge of Cloud (AWS) computing and architecture, data management technologies, and ML platform tools