Ai & Ml Product Manager

Summary

Join ZOE's SNAP team as a Staff Technical Product Manager and lead the development of AI and ML capabilities for photo logging and LLM-based initiatives. You will define the strategic vision for AI/ML-powered photo-logging, lead complex AI/ML projects, collaborate with engineers and data scientists, and ensure the successful execution and delivery of innovative features. This hands-on role requires strong technical expertise, product management skills, and excellent communication abilities. You will manage the product lifecycle, optimize performance, and innovate using cutting-edge AI/ML techniques. The ideal candidate possesses extensive experience in product management with a strong technical focus in AI/ML and a proven track record of success.

Requirements

• 7+ Years of Product Management Experience: Extensive experience in product management with a strong technical focus, ideally in AI/ML or other complex technical domains
• AI/ML Expertise: Strong understanding of machine learning, computer vision, and large language models (LLMs). Familiarity with AI evaluation metrics (e.g., precision, recall, F1) and model trade-offs
• Technical Depth: Strong grasp of data pipelines, cloud infrastructure, and system architecture. Ability to engage with engineers and data scientists at a deep technical level
• Strong Product thinking and Delivery : Strong prioritisation, roadmap building, and execution skills. Experience building consumer products with a focus on user experience, engagement, and retention
• Data-Driven Decision Making: Ability to define and track key success metrics, analyze performance data, and adjust strategy based on insights
• Proven Track Record of Success: A history of shipping successful products in a technically complex environment, with demonstrated expertise in leading cross-functional teams
• Business Acumen: Ability to connect technical investments to business outcomes, including revenue growth, efficiency, and competitive positioning
• Excellent Communication Skills: Ability to translate complex technical concepts for non-technical audiences and manage alignment across teams and leadership
• Hands-On and Entrepreneurial: A proactive, hands-on leader who thrives in ambiguity, is excited by technical challenges, and is motivated to drive innovation. Comfortable with ambiguity and shifting priorities in a fast-paced environment

Responsibilities

• Define and drive strategic vision. Set and communicate the strategic direction for AI/ML-powered photo-logging, identifying market opportunities and aligning the AI roadmap with business goals
• Lead Complex AI/ML Initiatives: Own the end-to-end development of AI-driven features, managing trade-offs between model accuracy, performance, and user experience
• Collaborate with Engineers and Data Scientists: Work closely with engineering and data teams to define technical scope, system architecture, and model performance benchmarks
• Execute and Deliver: Manage the product lifecycle from ideation to launch, driving execution through clear requirements, milestones, and KPIs
• Optimize Performance and Accuracy: Define and track key success metrics (e.g., model accuracy, engagement, retention), continuously refining models based on real-world usage
• Innovate and Experiment: Explore cutting-edge AI/ML techniques to improve photo classification, tagging, and retrieval, pushing the boundaries of AI-driven personalisation
• Communicate Technical Concepts: Simplify complex technical concepts for non-technical stakeholders, ensuring clarity and alignment across teams and leadership
• Manage Dependencies: Coordinate dependencies between multiple teams to ensure smooth execution of product milestones

Benefits

• Base pay and stock options
• Competitive health insurance and wellness packages
• Inclusive parental policies
• Tailored professional development programs