Top Remote Technical Product Manager Jobs

Owns the end-to-end product strategy and execution for AI-powered systems. Defines requirements, evaluation frameworks, quality standards, and system behavior while balancing quality, latency, cost, reliability, safety, and user experience. Partners closely with ML, backend, and client engineering teams to identify failure modes, improve model performance, prioritize roadmaps, and deliver predictable, useful, trusted AI experiences.

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.

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.

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.

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.

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 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 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 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.

Lead the strategy and roadmap for Zip’s onboarding and underwriting platform. Drive customer acquisition, activation, loan approval optimization, fraud and credit risk mitigation, and integration of identity and credit data services. Partner with Engineering, Credit, Fraud, Risk, Compliance, Analytics, and Data Science teams to deliver scalable, compliant platform capabilities. Evaluate AI-enabled workflows and automation, using experimentation and business metrics to prioritize product initiatives.

The Senior Technical Product Manager will drive product development, contribute to strategy and roadmap, collaborate cross-functionally, and ensure high product quality in a fast-paced environment.

The Senior Technical Product Manager will oversee product development in the Injective ecosystem, collaborating with engineering and design teams to drive product strategy, prioritization, and execution in a fast-paced environment.

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.

As a Technical Product Manager, you will guide cross-functional teams to deliver quality software products, manage the product lifecycle, conduct research, and enhance product experience.

Own the advertising recommendation engine, including ranking quality, optimization objectives, guardrails, metrics, and model roadmap. Lead experiment design, inference standards, holdouts, rollback criteria, and production launches. Evaluate model performance and business impact with data science and stakeholders. Partner across ML, analytics, ad operations, pricing, identity, telemetry, and commercial teams. Apply advertising economics, ranking systems, SQL, and data-platform expertise to improve monetization for mobile apps and games.

Own the vision, strategy, roadmap, and backlog for internal back-end platform products supporting engineering teams. Lead platform modernization initiatives, define platform capabilities and requirements, track KPIs, and partner with Platform Engineering, Enterprise Architecture, and application teams to deliver scalable, secure, reusable services, APIs, and developer tooling. Balance technical debt, operational needs, and long-term investments while guiding engineering stakeholders and ensuring reliability and quality standards.

Own the technical roadmap for Company Operations, translating business needs into engineering specifications, prioritizing sprints, allocating capacity, and ensuring quality delivery. Partner with data engineering to evolve warehouse structures, establish business logic, validate data, and support financial and go-to-market reporting. Collaborate cross-functionally on build-versus-buy decisions, perform hands-on QA and data validation, and prototype with AI coding tools.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.

Own the networking vision and roadmap for k0rdent AI, defining underlay/overlay fabrics, RDMA, DNS/IPAM, network automation, and DPU/SmartNIC integration. Translate customer and engineering requirements into priorities, track emerging interconnect standards, and support positioning, field engagements, and reference architectures.

Lead development of payments products by defining features, epics, and technical user stories; manage transaction processing backlog; integrate third-party services; produce technical documentation and go-to-market materials; drive roadmap execution, cross-functional alignment, market research, user insight gathering, and release/migration playbooks.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Lead the product roadmap for Physical AI, translating research into deployable robotics/autonomy products. Define readiness, success metrics, and reliability thresholds. Align research, engineering, and field teams, prioritize field validation over benchmarks, write clear specs and decision logs, and operate in ambiguous, fast-moving environments.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.

Lead a product vertical end-to-end for a neobank superapp: set strategy and roadmap, define acceptance criteria, shape technical design for money movement, ensure regulatory/compliance readiness, apply and evaluate LLM/AI where appropriate, and coordinate across engineering, design, compliance, operations, treasury and finance to ship reliable, auditable payment/finance features.