Top Remote Product Manager Jobs in Pittsburgh, PA

Lead strategy and roadmap for DTNs upstream intelligence portfolio, especially Farm Intelligence. Conduct customer discovery, define product metrics, prioritize features, and partner with Engineering, Design, Data Science, and Commercial teams to deliver data-intensive, AI-enabled B2B SaaS products. Drive launches, adoption, and continuous optimization through experimentation, analytics, and stakeholder alignment.

The Senior Product Manager will enhance customer experiences, drive product strategies, manage lifecycle stages, and collaborate with teams to increase satisfaction and revenue growth.

The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.

Own vision and strategy for a core internal developer platform (Cloud Runtime, Security, Database, Key-Value, Messaging). Partner with engineering and stakeholders to define MVPs, prioritize capabilities, measure product metrics, reduce cognitive load, cut costs, improve performance/reliability, and drive internal adoption through feedback, analytics, and cross-functional collaboration.

The Principal Product Manager will own connectors and ecosystem strategy, driving product roadmap, building partnerships, and enhancing customer engagement within the ClickHouse ecosystem.

Own the AI and data product roadmap, prioritize and sequence development with engineering and founders, ship trustworthy AI experiences, drive adoption, define feature success metrics, evaluate outcomes, and manage the analytics foundation. The role requires technical fluency in AI, prior software engineering experience, production AI product delivery, strong product judgment, and comfort working in a fast-paced, remote startup environment.

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 data and identity platform powering advertising, including event taxonomy, schemas, attribution, identity resolution, reporting APIs, real-time signals, and data contracts. Partner with engineering teams to build scalable interfaces for ads, machine learning, and customer reporting while ensuring compliance with GDPR, CCPA, ATT, SKAdNetwork, and consent requirements.

Lead end-to-end product development for Credify's web and WhatsApp chatbot platforms, define roadmap and API integrations with ERP and loan management systems, drive implementation with engineering and QA, build analytics and reporting, and mentor junior product staff while representing the product internally and externally.

Lead Elastic’s strategy, vision, and multi-quarter roadmap for vector databases, embedding and reranking models, vector indexing, semantic ingestion, and search capabilities. Conduct market and competitive research, define product metrics, prioritize features, and partner closely with engineering, cloud, and applied research teams. Guide technical trade-offs involving recall, latency, index size, ingestion throughput, model lifecycle, and total cost of ownership across serverless and self-managed deployments.

Own the technical direction, roadmap support, and prioritized backlog for Geo Addressing SDK and related addressing products. Serve as the technical bridge among Product, Engineering, QA, Support, customers, and partners. Investigate escalations, validate fixes, define acceptance criteria, improve address matching quality, evaluate data sources, support release communications, and lead demos. The role requires expertise in geocoding, address validation, APIs, software architecture, enterprise data quality, and AI-assisted product workflows.

Own the zero-to-one lifecycle for structured financial data products, from analysis and data architecture through launch, testing, and iterative enhancements. Translate investor research and quantitative workflows into product requirements, partner with engineering and platform teams, validate solutions with customers and domain experts, prioritize initiatives, analyze competitors, and drive cross-functional alignment. The role requires strong financial-data fluency, product leadership, communication, and attention to detail.

Own end-to-end capacity delivery for Azure AI infrastructure, including NeoCloud partnerships and large-scale GPU deployments. Lead integrated execution plans, risk management, milestones, operational reviews, metrics, and continuous improvement across engineering, datacenter operations, networking, supply chain, finance, and external providers. Identify and implement AI, automation, and agentic workflows to improve infrastructure delivery predictability, reduce operational toil, accelerate execution, and support Microsoft's AI infrastructure strategy.

Own end-to-end client launches onto PHIL’s platform, including discovery, configuration, technical scoping, stakeholder communication, and go-live execution. Balance implementation work with product roadmap ownership, using data to improve adoption, engagement, retention, and client value. Translate manufacturer, provider, patient, and business needs into product requirements, collaborate with engineering and design, and drive program optimizations across B2B and B2C experiences.

The Principal Product Manager will lead product strategy and development for Akamai's Public Sector cloud products, ensuring compliance and collaborating with stakeholders.

Manage the Acadience K-12 reading and math assessment products and platform, including roadmap planning, requirements, user stories, usability research, product analytics, development coordination, testing, launch, and go-to-market support. Collaborate with researchers, designers, engineers, customer-facing teams, and organizational leaders to prioritize initiatives, mitigate risk, improve user satisfaction, and support successful product adoption.

Own the cloud network security product roadmap, define strategy and priorities, and drive product-market fit through customer engagement and proof-of-concept conversion. Lead enterprise buyer and field-team relationships, translate customer needs into engineering requirements, manage trade-offs, and shape go-to-market positioning with product marketing. Advocate for cloud investments across data center, Kubernetes, and platform capabilities.

Own the vision, strategy, roadmap, metrics, and P&L for Gaia GPS mapping products. Lead platform unification across Gaia, Trailforks, and MapMy while partnering with engineering, design, marketing, editorial, and other stakeholders. Conduct customer research, prioritize initiatives, define product requirements, launch features, identify opportunities, and mentor junior product team members.

Own the product strategy and roadmap for Chainguard’s Console and public Directory experiences. Lead onboarding, activation, developer-led growth, subscriptions, account management, and cross-product workflows. Partner with Engineering, Design, GTM, and Product leaders to improve user journeys, drive adoption and conversion, establish scalable platform patterns, and balance short-term growth with long-term investments.

Own the full lifecycle of B2B sourcing products, including roadmap strategy, customer discovery, platform integrations, onboarding optimization, experimentation, and go-to-market execution. Lead cross-functional agile squads, define requirements and priorities, improve adoption and retention, measure product performance, and advise leadership. The role requires strong analytical, stakeholder management, customer insight, and execution skills across complex HR technology ecosystems.

Own Fetch’s internal Agentic Platform and agent development lifecycle, including runtime, orchestration, context, memory, model routing, evaluation, observability, governance, and adoption. Lead roadmap strategy, developer discovery, human-in-the-loop capabilities, metrics, and cross-functional delivery. Establish repeatable processes for moving agents from concept through production while improving reliability, quality, cost, and team adoption.

Own technical capability roadmaps, prioritize program and ART backlogs, define feature requirements, and coordinate delivery across product teams, platforms, vendors, and technology organizations. Partner with architects, engineers, stakeholders, and risk teams to manage dependencies, risks, governance, release readiness, compliance, and production supportability. Track delivery progress, success metrics, adoption, and value realization while facilitating tradeoff decisions, stakeholder alignment, demonstrations, and continuous improvement.

Owns the C-BRAIN AI tool portfolio through product backlog management, milestone tracking, UAT coordination, vendor and contractor oversight, and technical program execution. Coordinates data engineering pipelines, infrastructure, data use agreements, compliance reviews, and external pharmaceutical, biotech, academic, and technology partners. Supports CTO working groups, technical reporting, consortium engagement, and stakeholder communications. Requires five years of progressive product or technical program management experience, external partner management, contract lifecycle expertise, and experience working with AI/ML or data engineering teams.

Lead the design and scaling of a unified fraud and risk platform. Define product roadmap, run data analysis and A/B tests, collaborate with engineers and data scientists to build real-time fraud detection, manage stakeholders, and balance customer experience with effective risk mitigation.

Lead design and scaling of a unified fraud and risk platform. Define product strategy, own fraud metrics, run SQL-driven analysis and A/B tests, and partner with engineers and data teams to build real-time detection, identity verification, and transaction monitoring. Balance customer experience with risk mitigation and communicate impact to executives, legal, and partners.