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Staff AI & ML Product Manager

We Are Redefining How People Approach Their Health


ZOE is the science and nutrition company leading a movement to transform the health of millions.


We exist because the food we eat is making us sick. Most of what we are taught about food is wrong.


ZOE runs the world’s largest nutrition science study to find scientifically proven solutions.

Our randomized controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years.


ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement.


Over 100,000 people rely on ZOE Membership, our personalized nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal.


ZOE means life — and you can change your life with food.


Visit our career page and become a ZOEntist 🚀


About the Team and Role


Come and lead our SNAP team—the brilliant minds behind the magic of the ZOE experience. This team is at the heart of developing AI and ML capabilities that power the world’s best and most seamless photo logging. As a Staff Technical Product Manager, you’ll drive the development of our photo-logging and LLM-based initiatives, shaping how AI enhances the ZOE experience.

We’re looking for a unique blend of technical expertise and creativity—someone who can build ambitious roadmaps, push boundaries, and turn cutting-edge technology into real-life impact. You’ll collaborate with engineers and data scientists to scale innovative features, ensuring they are intuitive, engaging, and valuable for our members. In this hands-on role, you’ll set the strategic direction, drive execution, and bridge engineering, data science, and business teams to bring bold ideas to life.


What you’ll...
  • 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.


What we’re looking for...
  • 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.
If you thrive on solving complex challenges and love creating seamless, intelligent experiences, we’d love to have you on board!


The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer upskilling opportunities where possible.


Compensation Philosophy

At ZOE, we are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success.


We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE.


Benefits & Perks

At ZOE we understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists.


Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered.


At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves.


Equal opportunities

 We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

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Jonathan Wolf
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What You Should Know About Staff AI & ML Product Manager, Zoe

Are you ready to take on a leadership role as a Staff AI & ML Product Manager with ZOE, the innovative science and nutrition company transforming how millions approach their health? In this remote position based in the UK or EU, you will spearhead our SNAP team, focusing on the groundbreaking AI and Machine Learning features that enhance our photo-logging capabilities. Your passion for health and technology will resonate as you develop a strategic vision that bridges engineering, data science, and business goals. You’ll collaborate closely with engineers and data scientists, ensuring the final product is not only technically robust but also user-friendly and engaging. Your role involves leading complex AI/ML initiatives and driving the end-to-end product lifecycle—from ideation to launch—while tracking key metrics to measure success and optimize performance. At ZOE, you’ll have the unique opportunity to shape how we apply advanced AI techniques to improve personal nutrition experiences. If you thrive on innovation and enjoy tackling complex challenges, becoming a ZOEntist might just be the perfect fit for you!

Frequently Asked Questions (FAQs) for Staff AI & ML Product Manager Role at Zoe
What are the main responsibilities of a Staff AI & ML Product Manager at ZOE?

The Staff AI & ML Product Manager at ZOE is responsible for defining the strategic vision for AI/ML-powered initiatives, particularly in photo-logging. This role involves managing the product lifecycle, collaborating with engineers and data scientists, optimizing performance metrics, and ensuring that ZOE's AI applications align with business goals.

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What qualifications are needed for the Staff AI & ML Product Manager role at ZOE?

To qualify for the Staff AI & ML Product Manager position at ZOE, candidates should have at least 7 years of product management experience, with a focus on AI/ML or complex technical domains. Strong communication skills, technical understanding of machine learning and data pipelines, and a proven track record of successful product delivery are also essential.

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How does a Staff AI & ML Product Manager contribute to ZOE's mission?

A Staff AI & ML Product Manager contributes to ZOE's mission by developing AI/ML tools that help personalize nutrition for members. By turning complex scientific data into actionable insights, the product manager helps empower users to make healthier food choices based on their unique needs, ultimately improving public health.

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What technical expertise is expected from ZOE's Staff AI & ML Product Manager?

The ideal candidate for the Staff AI & ML Product Manager at ZOE should possess a strong grasp of machine learning, computer vision, and large language models (LLMs). Additionally, familiarity with data evaluation metrics and technical depth in system architecture are necessary to effectively engage with engineers and data scientists.

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What kind of work environment can a Staff AI & ML Product Manager expect at ZOE?

At ZOE, a Staff AI & ML Product Manager can expect a collaborative and inclusive work environment that fosters innovation and growth. The company promotes flexible remote work opportunities, values diverse perspectives, and is committed to providing a supportive atmosphere for all ZOEntists.

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Common Interview Questions for Staff AI & ML Product Manager
Can you describe your experience with AI/ML product management?

When answering this question, focus on specific projects where you led AI/ML initiatives. Discuss your role in the product lifecycle, challenges faced, and how you drove successful outcomes including metrics used to measure success.

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How do you prioritize competing demands in a product development environment?

It's essential to articulate your approach to prioritization by discussing frameworks you use, such as RICE or MoSCoW, emphasizing the importance of aligning product features with business goals and user needs.

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What steps do you take to ensure a product meets user needs?

Highlight your user-focused methodology by discussing user research methods like surveys or interviews, engaging with customer feedback, and testing to validate hypotheses before final releases.

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How do you collaborate with cross-functional teams?

Discuss your communication strategies for keeping engineering, data science, and business teams aligned. Provide examples of successful collaborations where teamwork led to innovative product solutions at ZOE.

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What challenges have you faced while managing AI/ML projects?

Talk about specific challenges like model trade-offs, data quality issues, or balancing user experience with technical performance. Emphasize your problem-solving skills and adaptability in overcoming these challenges.

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How do you measure the success of an AI feature?

Explain the importance of establishing key performance indicators (KPIs) before launch, such as engagement, retention, and accuracy metrics to analyze the effectiveness of AI features post-launch at ZOE.

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Can you give an example of a successful product launch you've managed?

Provide a detailed example of a product you launched, focusing on the entire process from concept to execution, and highlighting the metrics and results that define its success.

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How do you stay updated with AI and ML trends?

Articulate your commitment to learning by mentioning relevant journals, conferences, online courses, and communities related to AI/ML. Discuss how this knowledge informs your strategy in your role at ZOE.

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What is your approach to managing stakeholders and expectations?

Discuss your strategies for stakeholder management, including clear communication, frequent updates, and ensuring alignment on project goals and timelines to set realistic expectations.

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Why do you want to work for ZOE as a Staff AI & ML Product Manager?

Convey your passion for health and technology and how ZOE's mission resonates with your personal values. Mention specific aspects of the company and its innovative approach that excite you about the opportunity to contribute.

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Full-time, remote
DATE POSTED
April 4, 2025

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