Top Entry Level Product Manager Jobs in Phoenix, AZ

Own the evaluation strategy for Hercules’ AI coding agent, including offline and online evals. Use large-scale user, repository, and chat data to create evaluations that improve cost, speed, and accuracy while protecting customer privacy. Partner with engineering on implementation and apply expertise in software fundamentals, reward modeling, product and design sense, AI context and harness engineering, and frontier AI coding workflows.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Own the vision, roadmap, revenue, adoption, and operations of Docker Sandboxes. Lead product strategy for secure, isolated environments used by developers and AI agents, translating complex infrastructure tradeoffs into simple experiences. Partner with engineering, design, security, operations, customers, and go-to-market teams to define priorities, deliver releases, measure outcomes, and scale reliable services. The role requires deep technical fluency in systems, developer infrastructure, containers, virtualization, security, and software execution environments.

Own the HUD data marketplace product lifecycle, improving vendor onboarding, submission workflows, quality feedback, and marketplace management. Enable research teams to discover, evaluate, and access AI training data and RL environments. Partner with engineering, research, GTM, and operations to simplify complex workflows, define marketplace health metrics, and prioritize product improvements using user feedback and quantitative data.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Own Alpaca’s market data product strategy and revenue growth. Define sourcing, licensing, entitlements, pricing, packaging, build-versus-buy decisions, API capabilities, developer experience, and partner priorities. Lead exchange and vendor negotiations, assess competitive positioning, and deliver real-time, delayed, historical, and derived market data products across asset classes and geographies.

Own Epoch AI’s website product, including page and feature goals, prioritization, information architecture, standards, QA, and launch decisions. Partner with researchers, designers, developers, and communications staff to ship clear, usable web experiences. Use analytics, interviews, and feedback to guide the roadmap, communicate decisions, review designs, resolve implementation questions, and maintain site coherence across research publications and data products.

Own the Payments & Checkout roadmap, improving checkout conversion, payment authorization, BNPL adoption, fraud-risk balance, vendor performance, and payment cost efficiency. Partner with engineering, design, data, processors, networks, wallets, and BNPL providers to optimize transaction growth, average order value, and completed payments. Use experimentation, SQL, and analytics to diagnose funnel performance and deliver measurable business outcomes.

Own the post-order product roadmap, improving communications, ticket delivery, AI-powered self-service, agent-assist tooling, customer satisfaction, contact rate, and cost to serve. Partner with Fan Operations, Engineering, Data, Trust & Safety, and Supply to deliver measurable outcomes. Use SQL and analytics to identify customer friction and guide product improvements across marketplace support and ticket fulfillment experiences.

Own the product direction, prioritization, and delivery of Leap’s data platform and integrations. Translate cross-functional needs into scoped projects, requirements, milestones, and acceptance criteria. Guide ingestion, data quality, provenance, reliability, and client integrations while partnering with engineering, analytics, implementation, security, and external technical teams. Investigate technical issues using SQL and data tooling, improve delivery processes, and establish scalable capabilities for onboarding clients and data sources.

Own a product area end to end, from customer and business discovery through roadmap definition, delivery, launch, measurement, and iteration. Partner closely with Engineering, Design, QA, operations, and business teams to solve technically complex workflow and integration problems. Use data, customer insight, and product judgment to prioritize work, communicate tradeoffs, and make timely decisions. This is a hands-on individual contributor role requiring strong written communication, technical curiosity, and ownership of outcomes.

Lead customer-centric product development and strategic initiatives for an AI platform. Responsibilities include understanding customer pain points, overseeing product and operations execution, managing accounts, building scalable systems and processes, coordinating with engineering, analyzing performance data, and driving product insights through market and competitive research.

Netflix is hiring a Product Manager for its Compute organization. The provided posting contains no specific responsibilities or qualification details. Compensation is an annual salary ranging from $660,000 to $1,000,000, with flexibility between salary and stock options, plus comprehensive benefits.

The Product Manager drives revenue and growth for assigned product business units, aligns offerings with customer needs, develops marketing and sales enablement initiatives, manages vendor relationships, gathers customer feedback, and leads multidisciplinary collaboration. The role requires customer advocacy, market insight, analytical problem-solving, and team leadership within the AEC technology sector.

Own the core database and degree audit system for a higher education technology platform. Set product direction for a squad of 4–6 engineers, provide technical expertise on data modeling and system connections, prioritize delivery, lead discovery, document requirements, and drive user acceptance testing while partnering with implementation, integration, and customer success teams.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.

Own Hightouch’s core marketing product portfolio, including audiences, analytics, experimentation, trait building, and orchestration. Set product vision and priorities, lead 0-to-1 innovation, improve adoption, and drive revenue outcomes. The role requires close collaboration with Engineering, Design, executives, customers, and go-to-market teams. This senior, hands-on product leadership position involves managing multiple workstreams, validating market needs, defining MVPs, and presenting product strategy and customer insights.

Own 0-to-1 AI product development for specialty pharmacy. Identify ambiguous customer problems, conduct discovery with pharmacists, patients, and customers, define solutions, and work closely with Engineering and Design to ship quickly. Build data-backed product cases, communicate clearly, operate independently, and thrive in a fast-paced startup environment. Healthcare experience is not required, but curiosity about regulated healthcare and strong interest in AI are important.

Own the vision, roadmap, pricing, packaging, commercial outcomes, and customer discovery for Datacor’s Feed ERP product line. Lead competitive research, advisory groups, AI-enabled capabilities, launches, enablement, and cross-functional prioritization. The role requires deep feed industry knowledge, B2B software product ownership, commercial judgment, strong communication, technical fluency, hands-on AI use, and the ability to influence teams without direct authority.

Own a product area end to end by understanding customer problems, writing precise specifications, and driving execution with engineering and design. Develop mortgage industry expertise, work closely with customers, and shape practical AI applications for a regulated industry. Contribute to product strategy, team culture, and company growth while navigating complex problems with curiosity, persistence, and strong communication.

Own product strategy and backlog modernization for the VA Loan Guaranty technology portfolio. Translate policy and stakeholder needs into prioritized roadmaps, precise user stories, acceptance criteria, and executable plans. Coordinate releases, UAT, analytics, legacy decommissioning, and configuration-versus-customization decisions across VA, lenders, servicers, architecture, and engineering. Apply AI tools to policy analysis, requirements drafting, and feedback synthesis while respecting federal security and privacy boundaries.

Own Keycard’s end-to-end customer evaluation journey and developer experience across SDKs, CLI, console, documentation, and templates. Define evaluation milestones and metrics, instrument onboarding, reduce time to first credential exchange, and convert field-engineering processes into self-guided product experiences. Partner with engineering, DevRel, marketing, sales, and customers to improve adoption, run experiments, and incorporate evaluator feedback into the roadmap.

Own Flodesk’s AI product behavior and quality systems across prompt creation, agentic editing, and future marketing workflows. Develop and version prompts, define context and acceptance criteria, build evaluation datasets and rubrics, monitor quality, review traces, diagnose failures, and establish release gates. Translate research, analytics, support feedback, and production issues into priorities and experiments while partnering with engineering, design, marketing, copy, and product teams.

Own product areas for KIRA’s AI stockbroking and financial services applications. Define user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.