Top Entry Level Product Manager Jobs

Lead J.P. Morgan’s digital asset custody roadmap and custody Data & AI strategy. Own product definition, governance, regulatory adaptation, business case analysis, operating model design, and delivery of new capabilities. Partner with technology, operations, legal, compliance, risk, sales, client service, vendors, and clients on product development, commercial activity, pricing, due diligence, RFPs, and contract negotiations across global markets.

Own the roadmap and lifecycle for Internal Audit applications, translating audit needs into product requirements and partnering with engineering teams on delivery. Lead Agile planning, SQL-based validation, reporting, metrics, stakeholder communications, innovation initiatives, and AI-enabled audit tooling. Manage risks and trade-offs, present progress to senior leaders, mentor junior product staff, and improve audit processes through automation and analytics.

Supports product strategy and roadmaps for HPE CX Switching and Self-Driving Network products. Translates customer needs, market trends, competitive insights, and emerging technologies into product requirements and recommendations. Partners with engineering, cloud, AI, sales, customers, and technical teams across the product lifecycle. Develops market, pricing, cost, competitive, and business-case analyses, defines product positioning, and provides data-driven recommendations to leadership.

Leads product management for Atlassian’s global experiences platform. The provided description contains no additional responsibilities or qualification details.

Define and measure quality standards for Toast IQ, an AI assistant for restaurant operators. Review real user sessions, identify recurring failures, build labeled evaluation datasets, validate fixes, create regression cases, lead reviewer calibration, and translate findings into product priorities. The role also involves using AI coding tools to build review interfaces, automate analysis, monitor failures, and prototype improvements. Restaurant expertise, detailed analysis, structured data skills, and clear communication are central; formal product management experience is valued but not required.

Own customer-facing AI product engagements for financial institutions, from discovery and scoping through implementation, rollout, adoption, and measurable business impact. Translate customer needs into requirements, workflow designs, prototypes, and delivery plans; partner with engineers on integrations, data access, permissions, and AI behavior; validate quality; manage stakeholders and scope; and identify reusable capabilities across deployments. The role requires regular onsite customer work and travel.

Own the strategy, roadmap, and lifecycle of an AI product area serving investors and bankers. Conduct customer research, define workflows and requirements, prototype solutions, evaluate AI outputs, and partner with engineering, design, research, sales, and customer teams. Drive launches, adoption, product quality, and measurable business impact while balancing usability, accuracy, reliability, security, latency, cost, and commercial opportunity.

Lead strategy, roadmap, growth, pricing, packaging, and go-to-market execution for Datadog’s Code Security product portfolio. Manage and mentor product managers, align engineering and cross-functional teams, represent products with customers and industry analysts, and drive revenue toward a multi-hundred-million-dollar business. The role requires strong product leadership, security-market expertise, analytical ability, customer focus, technical fluency, and executive communication skills.

The Product Manager will drive strategy for High Performance Memory products, managing customer engagement and product development in AI and HPC sectors.

Lead and develop product managers across Onebrief and AtomEngine. Shape product direction, prioritize customer needs, coach PMs, partner with Engineering and Design, improve product quality, and guide AI-agent-enabled product development. Own outcomes, resolve cross-functional dependencies, and support high-quality decisions across complex military planning and enterprise workflow software.

Own the strategy and operating model for self-optimizing paid marketing systems. The role connects paid-growth channels, audiences, creative, measurement, experimentation, automation, and AI agents to improve acquisition efficiency and user quality. Responsibilities include establishing experimentation workflows, interpreting geo and cohort signals, managing paid spend, improving measurement, guiding agentic infrastructure, and partnering cross-functionally with Growth, Marketing, BizOps, Strategy Finance, and Ecosystems.

Own the vision, strategy, roadmap, pricing, and packaging for Vercel’s storage portfolio, including blob storage, persistent filesystems, databases, and key-value storage. Partner with engineering, design, developer experience, and enterprise customers to deliver reliable, secure, scalable storage products integrated across Vercel’s cloud platform. Use customer feedback and performance data to prioritize investments and guide product decisions.

Own the roadmap and delivery of Atlassian Government Cloud, balancing customer value, compliance, engineering investment, and market impact. Translate FedRAMP and NIST controls into product requirements, lead cross-functional execution, engage public sector customers, support migrations, and guide pricing, packaging, commercialization, Marketplace readiness, and launch activities. Serve as a subject matter expert on government cloud needs and compliance requirements.

Own the product strategy and experience for Notion Connections, covering discovery, installation, configuration, management, integrations, AI connectors, MCP access, permissions, and external data. Partner with engineering, design, AI, developer platform, and enterprise teams to establish a scalable ecosystem with strong usability, reliability, governance, and trust. Translate user, developer, administrator, and enterprise needs into a focused roadmap and measurable outcomes.

Supports product managers in discovering, planning, testing, launching, and improving software features for a telehealth SaaS platform. Collaborates with engineering and design, gathers user feedback, writes requirements and user stories, investigates bugs, analyzes product metrics, researches competitors, maintains documentation, and supports quality assurance. This early-career role develops technical product management skills through hands-on ownership of increasingly complex product tasks.

Owns the post-launch success of AI products, including adoption, value realization, operational and model health, continuous improvement, and roadmap prioritization. Coordinates transition to production, backlog management, KPI tracking, risk and governance activities, and cross-functional collaboration across business, engineering, data science, finance, operations, and risk teams. Communicates product health and strategic priorities while driving improvements and sustainable product outcomes.

Own products from customer discovery through production, building and shipping software, hardware, firmware, integrations, and internal AI tools. Collaborate with customers, installers, sales, support, engineering, and manufacturing to identify problems, prototype solutions, launch quickly, measure results, and improve products. The role requires hands-on technical building across software and hardware, strong product judgment, clear communication, and autonomy in a fully onsite environment.

Own a product area from customer discovery through delivery and iteration. Observe user workflows, identify underlying needs, prioritize capabilities, define scope with design and engineering, and measure AI agent quality through correctness, task completion, latency, and user trust. The role also involves communicating product decisions to customer-facing teams, prototyping ideas, evaluating AI workflows, and making trade-offs based on customer value and feasibility.

Lead strategy, prioritization, roadmaps, execution, and value measurement for Vanguard’s advisor-facing digital product portfolio. Develop product managers, champion advisor-centered discovery, align business and technical stakeholders, manage risks and dependencies, and communicate investment decisions and outcomes to senior leaders. The role requires strong product leadership, execution discipline, marketplace knowledge, and the ability to create an outcome-oriented product culture.

Own the developer experience for Tenstorrent’s AI hardware systems, collaborating with Hardware, Software, Customer Success, and Sales teams. Define, ship, evangelize, and support developer-focused products spanning hardware, firmware, software, documentation, and UX. Drive adoption, incorporate developer feedback, balance engineering constraints with customer needs, and manage the product throughout its lifecycle.

Owns strategy, requirements, roadmap, design, client engagement, and delivery for Equity Derivative TradeAgent contract and trade lifecycle services. The role researches markets and competitors, coordinates stakeholders, supports go-to-market execution, develops client training, maintains technical documentation, and mentors colleagues. Strong knowledge of OTC equity derivatives, ISDA definitions, confirmations, settlement, product development, and post-trade operations is required.

Own product hypotheses from ideation through execution, identify growth opportunities, solve complex business challenges, and deliver measurable business and user impact. The role works closely with the CPO and cross-functional product teams, requiring systematic problem-solving, clear communication, fast learning, user empathy, and comfort working in ambiguous, fast-paced environments.

Own product hypotheses from ideation through execution, identify growth opportunities, solve complex business challenges, and deliver measurable business and user impact. The Product Manager will work closely with the CPO and cross-functional product teams, analyze new business domains, structure ambiguous problems, and develop simple, effective solutions aligned with company goals.

Own the strategy, development, and performance of MacroHealth’s Pharmacy marketplace category. Identify buyer and partner needs, evaluate market opportunities, define product and marketplace capabilities, and align cross-functional teams around measurable growth, economic, customer, and marketplace outcomes. The role requires expertise in pharmacy economics, payer and PBM models, marketplace dynamics, product discovery, commercial strategy, and the application of AI, data, and automation.

Own the product experience for reliably operating Nominal across managed, BYOC, and self-hosted deployments. Lead provisioning, cluster configuration, capacity management, workload health, recovery, operational controls, and reliability metrics. Partner with infrastructure engineering and customers to prioritize improvements from incidents and support insights, define multi-deployment-model strategies, and explore AI-assisted diagnostics with safety controls.