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Senior Product Manager

PowerToFly

Cambridge

Hybrid

GBP 70,000 - 90,000

Full time

Yesterday
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Job summary

A leading technology company in Cambridge is seeking a Product Manager with a strong AI/ML background. The role involves defining product strategy, evaluating commercialization opportunities, and working closely with cross-functional teams to deliver AI-powered solutions. The ideal candidate will have extensive experience in product management and excellent communication skills. This is a hybrid position requiring some days in the office, offering a chance to lead innovations in payment technology.

Qualifications

  • 8+ years relevant work experience or equivalent advanced degree experience.
  • Strong product management experience, especially with AI/ML products.
  • Excellent communication skills and ability to work with cross-functional teams.

Responsibilities

  • Own product strategy and roadmap for AI/ML features.
  • Evaluate commercialization opportunities and market size.
  • Translate AI capabilities into product requirements.
  • Partner with teams for product initiatives.
  • Define go-to-market strategy with marketing and sales.
  • Measure product performance using KPIs.
  • Stay current on AI/ML landscape.

Skills

Product management
AI/ML expertise
Agile methodologies
Data-driven mindset

Education

Bachelor Degree
Advanced Degree (Masters, MBA, JD, MD)
Job description
Job Description

Visa’s Risk and Identity Solutions (RaIS) group delivers advanced fraud detection and prevention solutions, ensuring seamless, secure payment experiences. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle.

As fraud vectors have rapidly evolved, PFI has significantly expanded its product portfolio and reimagined its approach to building, deploying, and monitoring real-time, low-latency AI models.

We are seeking a Product Manager with deep AI/ML domain expertise and a strong point of view on the commercialization potential of emerging technologies. This role will lead strategy, roadmap, and execution for next generation of payments-focused foundation AI products, balancing technical understanding with market insight to deliver differentiated value to customers.

Responsibilities
  • Own product strategy and roadmapfor AI/ML-based features and solutions, grounded in customer needs, competitive analysis, and technology trends.
  • Evaluate commercialization opportunitiesby assessing market size, customer willingness-to-pay, technical feasibility, unit economics, and long-term defensibility.
  • Translate complex AI/ML capabilities into clear product requirements, user stories, acceptance criteria, and functional specifications.
  • Partner closely with data science, engineering, and research teamsto scope, prioritize, and execute product initiatives.
  • Define go-to-market strategyin partnership with marketing, sales, and customer success to position AI-powered products effectively.
  • Measure product performanceusing KPIs such as adoption, model performance metrics, retention, and revenue contribution.
  • Represent the product vision internally and externally, helping customers and stakeholders understand how AI solutions deliver business outcomes.
  • Stay current on the AI/ML landscape, including foundation models, applied AI, tooling, infrastructure, regulatory shifts, and ethical considerations.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications
Basic Qualifications
  • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
Preferred Qualifications
  • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
  • 5+ years of product management experience, including at least 2+ years working directly with AI/ML products or platforms.
  • Background in ML engineering, data science, or a related technical field (professional experience or academic).
  • Strong understanding of machine learning fundamentals, model lifecycle, data workflows, and model evaluation metrics.
  • Demonstrated ability to identify and size commercialization opportunities and turn emerging technologies into viable products.
  • Strong grasp of Agile methodologies and proven success working in fast paced, iterative environments with cross-functional teams.
  • Excellent communication skills, with the ability to translate between technical and business audiences.
  • Data-driven mindset with experience defining KPIs and running experiments (A/B tests, user research, model impact analysis).
  • Experience launching AI features powered by LLMs, generative AI, predictive modeling, or ML Ops platforms.Familiarity with responsible AI, model governance, compliance considerations, and risk frameworks.
  • Ability to build business cases, pricing strategies, and ROI models for AI/ML offerings.
Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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