Product Manager, AI/ML Platform

Priceline • Toronto, ON

2d • Hybrid

About The Position

This role is eligible for our hybrid work model: 2 days in-office. This job posting is for an existing, currently vacant position. Product Manager, AI/ML Platform Our Product Management teams work tirelessly to understand what our customers need and make it a reality. They’re the ones who make our deals come to life and our user experience simple and intuitive. Why this job’s a big deal: As the Product Manager for our Global Platform Engineering (GPE) team within the Data & AI/ML (DAI) portfolio, you will own the strategy and delivery of the foundational platforms that power AI, ML, and data-driven product experiences across Priceline. Rather than just using AI, you'll shape how AI is used across the company. Your customers are internal: PMs, engineers, and other stakeholders across our portfolio teams. Your success is measured by how broadly and deeply they adopt your platforms — and by the velocity and quality those platforms unlock for the rest of the business. You'll partner with a distributed team of platform engineers and architects to accomplish your objectives, and you will report to the Director of Product for the DAI Portfolio. This role has high visibility, C-suite buy-in, and direct leadership support to drive agentic thinking and meaningful product change.

Requirements

• At least 3-4 years of Product Management experience, and you are the owner of your product’s success — responsible for defining vision, setting priorities, and ensuring delivery creates real impact.
• Direct experience building products with AI-powered functionality, and you understand both the AI product lifecycle and the operational/technical realities of running LLMs in production.
• A strong technical foundation through prior engineering, data, analytics, or platform PM experience, and you're not intimidated by deep technical concepts or conversations.
• Contributed to vendor evaluations for technical products and are comfortable navigating strategic build vs. buy decisions.
• A skilled communicator and translator — able to articulate the value of complex platform capabilities to non-technical stakeholders, and to communicate clearly in writing across distributed teams.
• A sharp instinct for internal product management, understanding that your customers are other teams and that their success is your success metric, combined with strong end-user empathy.
• Highly organized, self-directed, and outcomes-focused — comfortable making prioritization trade-offs between foundational enabler work, technical debt, strategic bets, and customer-facing functionality.
• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.
• Unquestionable integrity and ethics is essential.

Nice To Haves

• Familiarity with modern AI/ML and data infrastructure (e.g., classical MLOps, GenAI infrastructure, GCP) is a plus.

Responsibilities

• Product Discovery & Strategy: Deeply understand internal customer needs through user research, data analysis, and feedback loops, and partnerships with other PMs. Define the product vision, goals, and outcomes in alignment with the portfolio strategy, including but not limited to foundational capabilities such as: Centralized LLM Management: Platformize a centralized LLM gateway, including tiered onboarding, key governance, and cost/usage tracking. AI Quality & Reliability: Increase org-wide adoption of evals, guardrails, and observability tooling so AI-powered features ship with measurable quality. MCP Gateway & Governance: Drive vendor evaluation, architectural decisions, and governance for emerging agentic infrastructure. ML Pipelines: Own the migration and modernization of ML use cases onto a new platform and framework. AI-Powered Personalization: Partner with other portfolios to build the tools and platforms that enable AI-driven personalization (e.g., personalized sort and ranking) across the Priceline user experience.
• Outcome Ownership: Define, track, and deliver against product OKRs, KPIs, and success metrics. Treat platform adoption across portfolios as a first-class outcome, not a downstream byproduct of feature delivery. Continuously evaluate whether product initiatives and platform investments are driving intended value.
• Backlog Management & Prioritization: Own the GPE product backlog, ensuring work is clearly defined, prioritized, and sequenced. Write clear product requirements, user stories, and acceptance criteria that enable the GPE team to build impactful platform capabilities. Partner with engineering and product leads to assess feasibility, estimate effort, and refine scope. Make explicit prioritization trade-offs across AI-first initiatives, classical ML, technical debt, and data infrastructure investments.
• Planning & Execution: Lead quarterly and sprint planning for the GPE product team, and drive disciplined delivery against committed outcomes. Track progress, surface scope changes early, and keep the team focused on the highest-priority work rather than chasing every incoming request. Participate in demos, standups, retrospectives, and other sprint rituals to support delivery progress. Identify and manage cross-team dependencies, particularly with portfolio teams onboarding to your platforms.
• Vendor & Cost Management: Partner with architecture and portfolio leadership to lead vendor selection and ongoing management for the tooling that powers our AI/ML stack. Build and maintain cost and usage observability for centralized AI infrastructure, and define rules of engagement that allow portfolios to consume centrally while remaining accountable for their spend.
• Stakeholder Alignment & Adoption: Communicate product vision and progress while partnering with business sponsors and cross-functional teams to align on priorities and outcomes. Convey the value of foundational platform work to non-technical stakeholders by connecting infrastructure investment to tangible business outcomes. Drive measurable adoption of GPE tools and platforms across portfolios through clear onboarding paths, self-service documentation, and office hours.

Benefits

• Health & wellness coverage including medical, dental, vision, and mental health resources
• Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days
• Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location)
• Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts
• Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits
• Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits
• A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed