Product Owner – AI, Machine Learning Product Manager, Technical Product Lead

Conduct user research, craft product specifications, prioritise backlogs, coordinate data scientists and engineers, set success metrics, and guide go-to-market strategies, balancing innovation with regulatory compliance.

Software platforms scaling AI features|Fintech companies innovating personalised services|Health-tech startups with diagnostic tools|Enterprise SaaS vendors adding analytics|Telecoms creating smart network products|Consumer electronics firms integrating assistants

Start in business analysis, UX research, or junior PM roles with exposure to data projects. Develop technical literacy to converse confidently with engineering teams. Demonstrate successful launches of data products, then take ownership of larger product lines. Leadership can extend to group product manager or director positions overseeing multiple AI portfolios.

The appetite for AI-driven features spans every digital product, ensuring steady demand. Product managers with knowledge of machine learning constraints and opportunities can command premium salaries. Growth avenues include vice-president of product, venture capitalism, or co-founding technology ventures.

Roadmap creation and backlog management tools|Experiment design and metric definition expertise|User journey mapping and empathy techniques|Data governance and privacy compliance knowledge|API and microservice integration understanding|A/B testing platforms for feature validation|Basic prototyping in Python or SQL

Strategic vision and market awareness|Cross-functional communication and storytelling|Negotiation of priorities and resources|Customer-centred thinking and advocacy|Risk management and contingency planning|Leadership without formal authority influence