Product Manager, Data / AI ML

This role is eligible for our hybrid work model: 2 days in-office

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 a Product Manager (PM) in the Product Operating Model (POM), you will own the product strategy and delivery for the Enterprise Data Lake & Data Warehouse and Data Privacy & Governance teams within the Data & AI/ML portfolio. Your focus is on defining, prioritizing, and delivering products or capabilities that solve customer problems and deliver measurable business outcomes. You are accountable for the success of your product, partnering closely with engineering, other PMs, and business stakeholders. You balance customer needs, business goals, and technical feasibility to ensure your product creates real value.

In this role you will get to:

1. Product Discovery & Strategy

• Understand customer needs through research, data analysis, and feedback loops

• Define the product vision, goals, and outcomes in alignment with the group and portfolio strategy

• Translate internal customer needs into platform capabilities and technical roadmap priorities

2. Outcome Ownership

• Define, track, and deliver against product OKRs and KPIs

• Balance customer-facing features, technical debt, and enabler work in your product backlog

• Continuously evaluate whether product initiatives are driving intended value

3. Backlog Management & Prioritization

• Own the product backlog, ensuring work is clearly defined, prioritized, and sequenced

• Write clear product requirements, user stories, and acceptance criteria

• Partner with engineering and product leads to assess feasibility, estimate effort, and refine scope

4. Planning & Execution

• Lead quarterly and sprint planning for your product team

• Ensure dependencies are identified, managed, and communicated

• Participate in demos, standups, and retrospectives to support delivery progress

• Drive execution on foundational data platform initiatives in partnership with engineering and architecture teams

5. Technical Collaboration

• Partner closely with data engineers and enterprise/solution architects to shape technically sound, scalable product solutions

• Translate complex platform capabilities—such as data streaming standardization, data pipeline ownership, and governance policies—into clear requirements and well-defined outcomes

• Serve as the connective tissue between technical teams and business stakeholders, ensuring platform investments are understood and valued across the organization

6. Stakeholder Alignment & Communication

• Communicate product vision, priorities, and progress to stakeholders

• Partner with business sponsors, portfolio managers, and cross-functional teams to align on outcomes

• Act as the voice of the customer and advocate for value delivery in decision-making

• Make the value of foundational platform work legible to non-technical stakeholders—connecting infrastructure investment to tangible business outcomes

Who you are:

• You have at least 3-4 years of experience in Product Management, and you are the owner of your product’s success—responsible for defining vision, setting priorities, and ensuring delivery creates real impact

• You bring a strong technical foundation—whether through prior engineering, data, or analytics experience—and can hold your own in deep conversations with data engineers and solution architects without losing sight of the product outcome

• You understand modern data infrastructure concepts: distributed systems, data pipeline design, streaming architectures, and governance frameworks. Familiarity with Google Cloud Platform (GCP), particularly BigQuery and Bigtable, is a meaningful plus

• You are a skilled translator—able to take complex platform capabilities and articulate their value clearly to non-technical business stakeholders and senior leadership who need to understand the “so what,” not just the “what”

• You have a sharp instinct for internal product management, understanding that your customers are other teams—business portfolios and platform groups—and that their success is your success metric

• You collaborate naturally with adjacent teams across the data portfolio to align on shared dependencies and avoid duplication

• You are highly organized, self-directed, and outcomes-focused—comfortable making prioritization trade-offs between foundational enabler work, technical debt, and customer-facing capabilities

• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust

• The Right Results, the Right Way is not just a motto at Priceline; it's a way of life. Unquestionable integrity and ethics is essential

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