Top Product Manager Jobs in Phoenix, AZ

Own the data and identity platform powering advertising, including event taxonomy, schemas, attribution, identity resolution, reporting APIs, real-time signals, and data contracts. Partner with engineering teams to build scalable interfaces for ads, machine learning, and customer reporting while ensuring compliance with GDPR, CCPA, ATT, SKAdNetwork, and consent requirements.

Lead end-to-end product development for Credify's web and WhatsApp chatbot platforms, define roadmap and API integrations with ERP and loan management systems, drive implementation with engineering and QA, build analytics and reporting, and mentor junior product staff while representing the product internally and externally.

Lead product strategy and roadmaps for Master Data Management (MDM). Translate business needs into features and outcomes, partner with architecture, data governance, engineering and business stakeholders, drive SAFe/Agile adoption, ensure data quality, governance, integrations (APIs, batch/real-time), and deliver scalable enterprise MDM capabilities.

This role leads product strategy and development for switchboards, focusing on market analysis, team collaboration, and product lifecycle management.

Own product strategy and complex cross-surface initiatives for Bolt.new, from diagnosis through launch. Use customer research, product data, and market context to improve activation, engagement, retention, and expansion. Partner with engineering and cross-functional teams to make prioritization and product-quality decisions, ensure a consistent user experience, and communicate clear written product thinking. The role requires senior individual-contributor product experience, strong product judgment, technical fluency, and comfort operating autonomously in an ambiguous, product-led environment.

Lead discovery, scope definition, backlog and roadmap management for large-scale Shopify commerce projects. Partner with clients, architects, engineers, and delivery teams to define objectives, manage trade-offs, support UAT, and deliver measurable improvements in conversion, AOV, retention, scalability, and operational efficiency. The role also contributes to product management practice development, mentoring, and enterprise commerce thought leadership.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

Own the technical direction, roadmap support, and prioritized backlog for Geo Addressing SDK and related addressing products. Serve as the technical bridge among Product, Engineering, QA, Support, customers, and partners. Investigate escalations, validate fixes, define acceptance criteria, improve address matching quality, evaluate data sources, support release communications, and lead demos. The role requires expertise in geocoding, address validation, APIs, software architecture, enterprise data quality, and AI-assisted product workflows.

Own the zero-to-one lifecycle for structured financial data products, from analysis and data architecture through launch, testing, and iterative enhancements. Translate investor research and quantitative workflows into product requirements, partner with engineering and platform teams, validate solutions with customers and domain experts, prioritize initiatives, analyze competitors, and drive cross-functional alignment. The role requires strong financial-data fluency, product leadership, communication, and attention to detail.

Own end-to-end capacity delivery for Azure AI infrastructure, including NeoCloud partnerships and large-scale GPU deployments. Lead integrated execution plans, risk management, milestones, operational reviews, metrics, and continuous improvement across engineering, datacenter operations, networking, supply chain, finance, and external providers. Identify and implement AI, automation, and agentic workflows to improve infrastructure delivery predictability, reduce operational toil, accelerate execution, and support Microsoft's AI infrastructure strategy.

Own end-to-end product delivery for enterprise clients, from discovery and roadmap definition through launch. Lead client workshops, create PRDs and prioritized backlogs, guide Agile cross-functional teams, manage Azure DevOps governance, and communicate with executives. Use generative AI and rapid-prototyping tools to validate experiences and accelerate delivery. Serve as the primary client contact while managing scope, risks, technical tradeoffs, and account growth.

Own end-to-end client launches onto PHIL’s platform, including discovery, configuration, technical scoping, stakeholder communication, and go-live execution. Balance implementation work with product roadmap ownership, using data to improve adoption, engagement, retention, and client value. Translate manufacturer, provider, patient, and business needs into product requirements, collaborate with engineering and design, and drive program optimizations across B2B and B2C experiences.

The Principal Product Manager will lead product strategy and development for Akamai's Public Sector cloud products, ensuring compliance and collaborating with stakeholders.

Manage the Acadience K-12 reading and math assessment products and platform, including roadmap planning, requirements, user stories, usability research, product analytics, development coordination, testing, launch, and go-to-market support. Collaborate with researchers, designers, engineers, customer-facing teams, and organizational leaders to prioritize initiatives, mitigate risk, improve user satisfaction, and support successful product adoption.

Own the cloud network security product roadmap, define strategy and priorities, and drive product-market fit through customer engagement and proof-of-concept conversion. Lead enterprise buyer and field-team relationships, translate customer needs into engineering requirements, manage trade-offs, and shape go-to-market positioning with product marketing. Advocate for cloud investments across data center, Kubernetes, and platform capabilities.

Own the vision, strategy, roadmap, metrics, and P&L for Gaia GPS mapping products. Lead platform unification across Gaia, Trailforks, and MapMy while partnering with engineering, design, marketing, editorial, and other stakeholders. Conduct customer research, prioritize initiatives, define product requirements, launch features, identify opportunities, and mentor junior product team members.

Own the product strategy and roadmap for Chainguard’s Console and public Directory experiences. Lead onboarding, activation, developer-led growth, subscriptions, account management, and cross-product workflows. Partner with Engineering, Design, GTM, and Product leaders to improve user journeys, drive adoption and conversion, establish scalable platform patterns, and balance short-term growth with long-term investments.

Own the full lifecycle of B2B sourcing products, including roadmap strategy, customer discovery, platform integrations, onboarding optimization, experimentation, and go-to-market execution. Lead cross-functional agile squads, define requirements and priorities, improve adoption and retention, measure product performance, and advise leadership. The role requires strong analytical, stakeholder management, customer insight, and execution skills across complex HR technology ecosystems.

Own Fetch’s internal Agentic Platform and agent development lifecycle, including runtime, orchestration, context, memory, model routing, evaluation, observability, governance, and adoption. Lead roadmap strategy, developer discovery, human-in-the-loop capabilities, metrics, and cross-functional delivery. Establish repeatable processes for moving agents from concept through production while improving reliability, quality, cost, and team adoption.

Own technical capability roadmaps, prioritize program and ART backlogs, define feature requirements, and coordinate delivery across product teams, platforms, vendors, and technology organizations. Partner with architects, engineers, stakeholders, and risk teams to manage dependencies, risks, governance, release readiness, compliance, and production supportability. Track delivery progress, success metrics, adoption, and value realization while facilitating tradeoff decisions, stakeholder alignment, demonstrations, and continuous improvement.

Owns the C-BRAIN AI tool portfolio through product backlog management, milestone tracking, UAT coordination, vendor and contractor oversight, and technical program execution. Coordinates data engineering pipelines, infrastructure, data use agreements, compliance reviews, and external pharmaceutical, biotech, academic, and technology partners. Supports CTO working groups, technical reporting, consortium engagement, and stakeholder communications. Requires five years of progressive product or technical program management experience, external partner management, contract lifecycle expertise, and experience working with AI/ML or data engineering teams.

Own key parts of Redfin’s conversion funnel and drive customer growth across real estate and mortgage businesses. Develop product vision, strategy, roadmaps, requirements, and designs; lead high-velocity A/B experimentation; analyze data to improve conversion rates; and align engineers, designers, marketers, analysts, stakeholders, and executives. Influence technical direction, manage ambiguity, communicate outcomes, and improve product management practices.

Lead the Campaign Execution product roadmap, define long-term vision, and deliver AI-first campaign building experiences. Produce product specs, drive features through delivery with engineering, design, and QA, collaborate cross-functionally, and increase customer engagement on the StackAdapt platform.

Lead the design and scaling of a unified fraud and risk platform. Define product roadmap, run data analysis and A/B tests, collaborate with engineers and data scientists to build real-time fraud detection, manage stakeholders, and balance customer experience with effective risk mitigation.

Lead design and scaling of a unified fraud and risk platform. Define product strategy, own fraud metrics, run SQL-driven analysis and A/B tests, and partner with engineers and data teams to build real-time detection, identity verification, and transaction monitoring. Balance customer experience with risk mitigation and communicate impact to executives, legal, and partners.