Top Remote Technical Product Manager Jobs

Lead product definition, roadmap, and adoption for the CTOs agentic AI portfolio. Translate strategy into requirements, KPIs, and milestones; run discovery, prioritize backlogs, instrument usage, and shepherd incubation-to-handoff for AI/dev platforms and foundation-model tooling.

The Technical Product Manager will manage product development lifecycle, collaborate with engineering and stakeholders, and advocate for user-focused solutions in a fast-paced environment.

Lead the definition and evolution of foundational platform capabilities, improving structural coherence across engineering organizations, and resolving cross-organizational problems.

Own a payments/finance vertical end-to-end: define strategy, prioritize roadmap, shape technical design with engineering, ensure money-movement correctness and compliance, apply and evaluate AI/LLM features responsibly, ship behind feature flags per partner/regulatory gates, and align engineering, design, compliance, operations and finance for reliable launches.

Lead product management for a clinical data management (CDMS) SaaS product: evangelize externally, define requirements and wireframes, translate needs into engineering stories, provide customer support and ownership of technical product areas, perform market/competitive analysis, iterate in an agile manner, and work with database technologies (SQL/SAS).

Lead product development for a clinical data management (CDMS) application: evangelize the product, perform market/competitive analysis, create wireframes and requirements, communicate actionable specs to engineering, support customers, iterate in an agile manner, and own technical aspects of the product to accelerate clinical trials.

The Technical Product Manager will manage complex blockchain products, drive product roadmaps, collaborate with engineering and design teams, and focus on user needs and product metrics.

Lead growth strategy and execution for UpToDate Expert AI across awareness, acquisition, activation, and early engagement. Drive cross-functional initiatives with marketing, sales, engineering, and data teams to improve discovery, onboarding, and activation. Define OKRs, measurement frameworks, run experiments, and translate clinician insights into product and go-to-market actions while balancing clinical, privacy, and regulatory constraints.

Lead end-to-end product management for data products (BigQuery connectors, Looker dashboards, AI agents). Define specs, run sprint planning, prioritize backlogs, monitor product health, manage platform administration and data governance, and mentor Product Managers while partnering with engineering, R&D, and stakeholders to productize validated innovations.

Lead design and delivery of production AI Agent features for Veeva QualityDocs and Training. Define data flows, model integration, orchestration, and prompts; collaborate with engineering and UX to automate regulated quality and training processes; evaluate AI agents and present capabilities to stakeholders.

Lead design and delivery of AI Agent features for Veeva QualityDocs and Training. Define data flows, orchestration, prompts, and model integrations. Collaborate with engineering and UX, evaluate AI agents, and communicate value to stakeholders. Hands-on technical product work with travel and Eastern Time zone location requirement.

Design and deliver production AI agent solutions for Veeva Quality Cloud to extract structured data from documents. Lead data flow, model selection and integration, prompt design, orchestration, and collaborate with engineering and UX to automate quality processes. Evaluate AI agents and present capabilities to stakeholders.

Lead design and delivery of AI agents for Veeva Quality Cloud to convert documents into structured data. Define data flows, orchestration, prompts, and model integrations; collaborate with engineering and UX; evaluate AI agents and present capabilities to stakeholders.

Lead the technical product roadmap for clinical AI products: define goals, metrics, and technical requirements; partner with engineering, ML, and design; document architecture and specs; synthesize customer workflows; make tradeoffs; and ship infrastructure or agentic workflow upgrades improving latency, accuracy, and reliability.

As the first product manager, you'll collaborate with the founder to enhance AI tools for scientific research through user studies, feature development, and customer feedback analysis.

The Technical Product Manager will define product vision and strategy, drive product launches, and collaborate with teams on early-stage products related to Bitcoin and Lightning.

Own and drive Hardhat and EDR product roadmaps, define developer-facing APIs and UX, write PRDs, prioritize features, collaborate with engineering to evaluate technical feasibility, unblock teams, and ensure high-quality developer experiences across tooling and runtime components.

Lead product strategy and lifecycle for enterprise revenue and order-to-cash platforms. Own backlog and roadmap, translate stakeholder needs into user stories, collaborate with engineering, clinical, and analytics teams, support releases, and drive automation and data-driven improvements to billing, reimbursement, and revenue operations.

Lead strategy and execution of AI-enabled digital solutions for Quality (QMS). Define product vision and roadmap, run AI-driven rapid prototyping, translate stakeholder needs into prioritized backlogs, and partner with engineering to deliver scalable, secure production systems. Provide technical product leadership, mentor team members, apply Agile and continuous improvement, and drive adoption across integrated Quality teams. Role includes finance, compliance, operations ownership and ~20% travel.

Lead technical product work within a defined product area: translate strategy into technical plans, run discovery (MVPs, spikes, prototypes), manage roadmap and backlog, partner with engineering and design, define success metrics, surface risks and trade-offs, and drive cross-functional alignment to deliver scalable SaaS education solutions.

Own a Pod's product roadmap: discover customer problems, define initiatives, write high-level requirements, partner with engineering, integrate AI-driven workflows, ensure adoption, track outcomes, and steward product metrics.

Own end-to-end technical product requirements by engaging customers and stakeholders, running discovery, defining precise API/data specs and integrations, building lightweight internal tools or scripts, and validating solutions through acceptance and product health monitoring.

The role involves designing AI solutions for medical applications, automating processes, and collaborating with various teams to enhance product efficiency.

Design and deliver AI Agent solutions to improve efficiency in clinical trials and regulatory processes, collaborating with engineering and UX teams.

Own the ERP integrations product: roadmap, platform consolidation, and precise data-mapping specs. Ensure correct GL posting, PO matching, payment sync, and integration reliability. Drive self-serve configuration, reduce escalations via data-driven prioritization, and lead partner marketplace certifications and GTM for flagship ERPs while collaborating closely with engineering, Solutions, and Support.