Senior Product Manager – Data & Machine Learning

About Talent.com Talent.com is a job platform that matches job seekers with employers in more than 50 countries. We're seeking talented individuals to help us fulfill our mission of connecting the world to work. Our fast-paced environment offers many opportunities to grow your career while contributing to our success. If you are a team player, we are the right fit for you: collaboration is the cornerstone of our workflows and is highly valued by our global workforce, regardless of function, department, or time zone. You'll work in a people-focused HR tech company where every voice will be heard. Join us and become part of our multicultural and diverse team! Position Overview As a Product Manager (Data & Machine Learning), you will own high-impact initiatives that leverage data and ML to improve search, matching, and marketplace efficiency. You will thrive in a fast-paced, entrepreneurial environment where complex and ambiguous problems need to be broken down, analyzed, and turned into actionable solutions. This role requires extreme ownership, data-driven decision-making, and the ability to deliver measurable results for both job seekers and employers. This role can be based anywhere in Canada or in the US, as we are a Remote first company (Canada preferred). Note that the internal job title will be Product Manager (L5). What You’ll Own and Drive

• Lead the roadmap for ML-driven search and matching, including ranking, personalization, and marketplace optimization.
• Translate business goals into actionable, data-backed product strategies with measurable outcomes.
• Partner with engineering and data science to ship and iterate ML models in production.
• Use experimentation and predictive analytics (A/B testing, metrics frameworks) to guide decisions.
• Define success metrics and continuously optimize against them.
• Communicate trade-offs, insights, and results clearly across technical and commercial teams.
• Simplify and demystify ML-driven decisions for stakeholders.
• Stay ahead of AI/ML and ad tech trends, introducing innovative approaches into the marketplace.

Must-Haves

• 6+ years of product management experience, including 3+ years focused on ML/data products, ad tech, or marketplaces.
• Proven track record of shipping and scaling ML-powered products with measurable business impact.
• Strong analytical and quantitative skills with a data-driven mindset.
• Experience collaborating closely with engineering and data science teams.
• Deep understanding of the ML lifecycle (data collection, training, deployment, monitoring).
• Familiarity with experimentation platforms and predictive analytics.

Nice to Haves

• Bachelor’s degree in Computer Science, Statistics, Engineering, or related field.
• Exposure to ML and Search frameworks (PyTorch, OpenSearch, Transformers).
• Familiarity with cloud data platforms (AWS, RedShift, Athena).
• Advanced degree in a related field.
• Marketplace or ad tech product experience.

What We Offer Standard Talent.com’s benefits include:

• Remote work Policy
• Competitive salary
• Generous vacation policy
• Flat and transparent organizational structure
• Frequent corporate and networking events
• A multicultural, inspiring and friendly atmosphere with a team of passionate people

We are committed to a fair and transparent hiring process. As part of our recruitment practices, we use an artificial intelligence (AI)–based tool to support candidate interviews. This tool is designed to assess role-related qualifications in a consistent way and is always used together with human review and decision-making. If you have any questions or concerns about the use of AI in our hiring process, or if you would prefer an alternative assessment method, please let us know and we will be happy to accommodate. Equal Opportunity Statement We are an equal opportunity employer and value diversity at our company. We welcome applications from all qualified candidates, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status. We are committed to providing an inclusive and accessible recruitment process. If you require accommodation at any stage, please let us know.