• Lead the product strategy for BEAT and define the vision for agent-native backend development across Spotify's platform. • Shape how AI and LLM-powered capabilities transform the software development lifecycle, from coding and code review to deployment, observability, and incident response. • Stay close to the product by using and evaluating BEAT's developer tools, applying AI-augmented workflows, and leading high-impact product initiatives directly where needed. • Lead and develop a team of Product Managers, fostering a collaborative, high-performing team that operates with shared ownership and a consistently high product quality bar. • Partner closely with the Engineering Area Lead to align priorities, make investment decisions, and balance trade-offs across four engineering squads supporting approximately 40 engineers. • Build trusted partnerships with senior engineers and the Backend Advisory Board to ensure the roadmap reflects the evolving needs of Spotify's backend engineering community. • Collaborate across Product Areas, studios, and the broader Platform Mission to deliver shared infrastructure initiatives and drive alignment on strategic investments. • Own delivery against Core Infrastructure's strategic commitments, including AI-native product development lifecycle initiatives and continued adoption of the monorepo experience.

• Own the acquisition product strategy across segments — define the funnel for both operator and single-owner acquisition, identify the conversion levers unique to each, and build the product experience that takes users from "interested" to "activated." • Design and run growth experiments end-to-end: write the hypothesis, scope the build, measure the result, make the call. Ship fast, kill fast, scale what works. • Lead discovery: talk to customers across the spectrum — from portfolio operators to first-time hosts — and translate those insights into a differentiated product roadmap. • Partner with Marketing and Sales on go-to-market execution — you own the product side of campaigns, not just the feature side. • Define and own your KPIs. Build dashboards, track cohorts, and report on acquisition and activation performance without delegating the analysis. • Bring a technical perspective to every initiative — you can write a spec, debate an architecture tradeoff, and spot when an engineering estimate is off.

• Providing product thought leadership on how all transactional components of our product function. • Managing processor integration and certification processes end-to-end. • Serving as the primary point of contact with processors and card brands for compliance matters. • Reviewing card brand compliance bulletins and emerging payments standards. • Acting as CardFlight's internal expert on topics like emerging payment methods and standards. • Managing many concurrent workstreams across multiple active certifications and processor integrations simultaneously without losing attention to detail. • Reading and interpreting raw specification documents from card brands and processors. • Identifying compliance obligations from standards bodies and proactively surfacing requirements. • Advocating for payments capabilities such as emerging authentication standards, network tokenization, or new payment methods.

Role Description PeopleReady is expanding its BI, ML, and AI capabilities to help achieve the organization's long-term objectives. We're looking for an experienced Sr. Product Manager to help build and manage our AI Service offerings. You will act as the conduit between the business and technology teams, balancing strategic priorities with system stability and defining complex data-related requirements. You’ll be the champion of product-led AI, including large language model (LLM) and Data Science/Machine Learning applications, the platforms and APIs that deliver them, and our Data Analytics and Business Intelligence initiatives. If you have the drive to build incredible, data and insights-driven products that impact the lives of our customers and associates daily, this would be the optimum role for you. Essential Duties and Responsibilities - Build vision and strategy. - Act as a Data, BI, and AI product evangelist to build awareness and drive a step-change in how our company uses AI-driven initiatives to make decisions. - Define the BI/AI-related product strategy to decrease time to insight. - Identify, prioritize, and define product needs. - Synthesize inputs from internal stakeholders, users, and competitors into prioritized roadmap investments and write product briefs for technology teams. - Oversee roadmap execution. - Navigate prioritization trade-offs to bring the most value to our customers, workers, and business. - Measure and learn. - Determine and track product health and business metrics to test hypotheses and identify improvement opportunities. - Collaborate and communicate. - Work closely with technical product owners and developers to define product functionality. - Own the AI platform and APIs. - Define the product strategy for shared services, APIs, and model-delivery platform. - Help shape a brand-new organization. - Reimagine the way people connect people to work. Qualifications - 3+ years of product management or similar experience with Machine Learning, Business Intelligence, and Analytics offerings. - Hands-on exposure to AI/ML platforms or LLM-powered products. - Experience building and delivering machine learning, business intelligence, or data analytics offerings from the ground up. Core Knowledge and Skills - Ability to think globally and strategically and frame new and complex issues. - Excellent leadership skills with a team-player attitude. - Strong communications skills to break down complex information. - Strong analytical, problem-solving, and product management skills. - Entrepreneurial self-starter excited to shape new solutions. - Undergraduate degree in engineering or quantitative analysis. - Advanced degree in business administration, statistics, or similar quantitative fields preferred. Preferred Skills - Previous experience in building pricing-related solutions. - Previous experience in staffing or similar industry. - Working knowledge of common machine learning models, large language models (LLMs), and generative-AI tooling. - Working knowledge of Cloud Native database technologies such as those in the AWS product offering. - Familiarity with productizing AI platforms — APIs, shared services, MLOps/LLMOps pipelines. Technical Knowledge Expectations - Ability to read and validate SQL queries and basic data models. - Working understanding of the ML/LLM development lifecycle. - Familiarity with API design principles and RESTful/GraphQL services. - Working knowledge of data architecture concepts, including data warehousing, ETL/ELT pipelines, and data governance practices. - Comfort evaluating technical trade-offs in partnership with business, engineering, and data science. - Ability to review technical documentation, architecture diagrams, and API specifications directly. Preferred Certifications - AWS Certified Machine Learning – Specialty, AWS Certified Data Analytics – Specialty, or an equivalent cloud/ML certification. - Certified Scrum Product Owner (CSPO) or a comparable Agile/Scrum product certification. - Product management certification from a recognized program. Supervisory Responsibilities This position will not have any direct supervisory responsibilities. Salary Range $122,400 - $153,000 annually, depending on experience and geographic location. Benefits - 6 paid holidays. - 1 paid floating holiday. - Up to 20 days of Paid Time Off per year. - Medical/Dental/Vision insurance. - Company-matching 401(k). - Employee Stock Purchase Program. - Other programs and perks.