Top Entry Level Product Manager Jobs in Portland, ME

Own product discovery and commercial outcomes across PostHog products. Analyze growth, retention, churn, revenue, and usage data; conduct user interviews; research competitors; identify pricing, packaging, and product opportunities; provide product feedback; and coach product engineers. The role emphasizes autonomy, product sense, SQL-based analysis, customer research, and commercial judgment rather than backlog management, project delivery, or feature development.

Own Suite’s product direction end to end, with a strong focus on AI-powered features for media and entertainment workflows. Engage daily with post-production teams, studios, and creative agencies; translate customer feedback into prioritized product problems; prototype concepts with AI tools; collaborate closely with engineering; define product metrics; and partner with sales, marketing, and support to launch and improve products.

Lead expansion of Humana’s Next Best Action platform across business channels and customer touchpoints. Translate channel needs into scalable product capabilities, requirements, integrations, onboarding plans, and implementation strategies. Partner with business, architecture, engineering, data, and product teams to identify capability gaps, prioritize enhancements, manage dependencies and risks, coordinate testing and readiness, and support successful launches. Establish reusable onboarding frameworks and improve governance and operating models across the enterprise.

Define and own bounded product features for Legion, Swarm Aero’s command-and-control platform for autonomous aircraft networks. Translate operator needs, customer feedback, technical constraints, and product direction into detailed specifications, workflows, requirements, and decisions. Collaborate with designers, engineers, operators, government customers, and contractors through design, development, feedback, validation, demonstrations, and delivery. Maintain product clarity, resolve ambiguity, document decisions, and track commitments while supporting the Head of Product.

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 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.

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 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 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 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.

Own the strategy, roadmap, business performance, and value delivery for WebCenter PLMS, an enterprise SaaS product serving regulated Life Sciences customers. Translate customer and regulatory needs into prioritized requirements, initiatives, and product investments. Lead discovery, business cases, launches, adoption, pricing, positioning, partnerships, and cross-functional alignment with Product, R&D, Sales, Marketing, and regional teams. The role is remote within the US Eastern time zone, with approximately 10% travel and an onsite immersion program.

Own product areas for an AI-powered neobank across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous product improvements.