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The Product Manager will drive critical workstreams on Retool's Enterprise Platform, overseeing deployment infrastructure, permissions, compliance, and scaling challenges while collaborating with engineering and customers to ensure enterprise adoption and trust.

Own product direction for custom SLMs, ASR, and real-time inference across the full model lifecycle: data acquisition and annotation, training and adaptation, evaluation, release, monitoring, and retirement. Define data strategy and quality bars, run evals and error analyses, make trade-offs between latency, cost, and model capability, and coordinate with product engineering and GTM while owning release and rollback decisions.

Own the roadmap and delivery for marketing data products and the Customer Data Platform. Lead AI-driven marketing solutions, partner integrations (credit bureaus, adtech), and cross-functional execution. Translate analytics into product features, write requirements, run PI planning and scrum ceremonies, prioritize by impact, and track performance to optimize offer delivery and campaign outcomes.

Lead large, complex B2B SaaS product initiatives from concept to launch, owning roadmap, specs, UAT, and go-to-market enablement. Work closely with engineering, data science, and design to embed AI and measurement capabilities (MTA, MMM, incrementality) into product experiences, and engage directly with customers to validate and iterate.

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.

Lead AI-first product strategy and roadmap for Azure HPC & AI compute platform. Drive market and customer analysis using AI, define features, prioritize backlog, coordinate SWE/HWE/Design/Security, manage go-to-market and performance metrics, ensure security/compliance, and drive adoption, monetization, and deprecation decisions across multiple feature areas.

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 Wikimedia Foundation’s product security strategy, prioritize security and privacy engineering initiatives, develop platform interventions against threats, strengthen organizational security culture, and communicate with Wikimedia communities. The role partners with cross-functional and departmental leaders on information security, represents the Foundation to volunteers, and applies AI-based tools to security analysis, code review, and software engineering. Prior product management experience is not required, but strong technical, security, communication, and online-community experience are important.

Lead delivery of core platform capabilities from ideation to launch for an enterprise-scale agentic/AI platform. Author specs, prioritize work, run discovery with customers, partner with engineering, UX, and GTM teams, track OKRs, and ensure successful customer enablement. Operate in a fast-moving, AI-focused product environment and adapt plans as business priorities change.

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 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.

Own Lambda's GPU hardware product roadmap: select GPU platforms and node/cluster configurations, align partner silicon roadmaps, translate customer demand and benchmarks into fleet investment decisions, and partner across data center, supply chain, and engineering to launch, measure, and iterate hardware offerings.

Lead the integrations product line: set roadmap and P&L, define integration depth and platform tooling, work directly with enterprise customers, enable safe agent actions, partner on ecosystem and GTM, and scale repeatable frameworks to ship integrations faster.

Lead the end-to-end product strategy and roadmap for Pinterests Core Saving Experience, improving first-session saves, board creation, and ongoing curation. Partner with cross-functional teams and AI/ML to design AI-powered organization and summarization features, run experiment-driven roadmaps, and use data and research to optimize save quality and downstream engagement.

Own the GPU hardware product roadmap and fleet lifecycle. Lead NVIDIA platform introductions, define node and cluster configurations, align partner roadmaps, translate customer demand and benchmarks into investment recommendations, and partner with data center, supply chain, and engineering teams to launch, measure, and iterate on hardware offerings.

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.

Join Databricks' 2027 APM cohort to own end-to-end product projects: understand customer problems, prototype and validate ideas, work with engineers and designers to build and launch features on the Databricks platform, and iterate using data-driven feedback.

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.