Top Senior Product Manager Jobs in Tulsa, OK

Owns the strategy, roadmap, requirements, and delivery of data products, analytics capabilities, and data infrastructure. Partners with engineering, architecture, DevOps, and stakeholders to deliver secure, scalable platform features, manage Agile backlogs, define adoption metrics, support incident reviews, and identify AI opportunities. The role also contributes to technical planning, customer escalations, documentation, hiring, and cross-functional initiatives.

Own and evolve core areas of TopstepX, a real-time futures trading platform. Define product strategy, lead complex initiatives from discovery through delivery, prioritize trader needs, write requirements, manage roadmaps, and partner with engineering, design, risk, compliance, operations, and support. The role emphasizes platform reliability, performance, resilience, measurable outcomes, and intuitive trader experiences across market data, order management, risk, and performance workflows.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Own the shared product-led growth platform supporting monetization and onboarding motions. Build account, licensing, trial, freemium, usage-cap, measurement, and PQL signal-routing infrastructure. Partner across Product, Engineering, CBS, RevOps, Sales, and Data Science to establish consistent metrics, unblock teams, and drive cross-functional adoption. Translate ambiguous priorities into a scalable platform roadmap and ship, measure, and iterate on B2B SaaS capabilities.

Own the strategy, roadmap, adoption, retention, and revenue for Tempo Workforce Intelligence, an AI-powered enterprise product. Lead customer discovery, experimentation, attribution and reporting, agent governance, benchmarking, integrations, instrumentation, and commercial planning. Partner with engineering, design, sales, marketing, customer success, finance, and executives to turn ambiguous customer problems into validated product decisions and measurable business outcomes.

Lead product strategy, development, and lifecycle management for Honeywell’s AMI networking products serving electric and gas utilities in the Americas. Responsibilities include market research, customer discovery, voice-of-customer analysis, product requirements, roadmap definition, technology partnership management, cross-functional collaboration, and go-to-market planning. The role focuses on improving network performance, connectivity, design flexibility, customer value, and market adoption.

Leads product strategy, development, lifecycle management, and go-to-market execution for Honeywell’s AMI electric and gas networking offerings across the Americas. Responsibilities include customer discovery, market research, voice-of-customer analysis, product requirements and roadmap definition, technology partnership management, and collaboration with engineering, marketing, sales, and support teams. The role requires extensive product management experience in cellular and mesh communications networking, including work with North American carriers and applicable US and Canadian standards.

Own Demandbase’s AI product adoption and growth strategy, guiding customers from discovery and activation through repeat usage, cross-capability adoption, consumption growth, retention, and commercial expansion. Define adoption funnels, meaningful value metrics, lifecycle strategies, experiments, packaging, entitlements, and monetization mechanics. Partner with Product, Analytics, Data Science, Finance, Sales, Customer Success, and Marketing to improve AI outcomes, establish behavioral insights, and turn successful experiments into scalable product experiences.

The Product Manager will lead the Conversational AI and Communications Platform at Mango Voice, managing product strategy, development, and cross-functional collaboration to enhance customer communication experiences.

Leads strategy and execution for data products powering threat intelligence solutions. Uses customer insights, big-data analysis, and competitive research to prioritize opportunities, refine API-first products, and integrate data into UI, AI, and third-party workflows. Collaborates with engineering, marketing, sales, and solutions engineering from ideation through launch, influencing stakeholders and executives through data-driven analysis. Requires substantial cybersecurity or data product management experience and expertise in threat intelligence, APIs, analytics, and customer ecosystems.

Own the strategy, roadmap, and execution for Mindbody’s multi-location and franchise platform. Responsibilities include designing location hierarchies, data synchronization, permissions inheritance, site navigation, franchise fees, revenue transfers, and transactional workflows. The role modernizes legacy infrastructure, manages migrations and rollout risks, partners with Engineering, Design, Payments, and enterprise stakeholders, and uses customer and performance insights to prioritize investments while supporting enterprise retention.

Owns product initiatives across the platform and client portal, leading discovery, delivery, launch, and iteration. Partners with engineering, design, operations, accounting, implementations, and customers to simplify complex billing workflows, validate problems, define requirements, and shape product direction. The role requires strong ownership, communication, judgment, and the ability to bring structure to ambiguous, data-heavy operational systems.

Own the personal loans marketplace product roadmap from ideation through launch. Lead AI-powered consumer experiences, prototype and validate concepts using AI tools, analyze data, run experiments, and prioritize product investments. Collaborate with engineering, design, data, partnerships, and operations teams to achieve OKRs while maintaining accuracy, compliance, and trust in a regulated lending environment.

The Data and AI Product Manager owns product vision, roadmap, backlog, requirements, prioritization, delivery cadence, success metrics, adoption, governance, and stakeholder communication. The role partners with engineering teams and business units to deliver governed data and AI products, measure business value, guide product direction, and support engineering pod leadership. It requires substantial product management experience, SQL proficiency, data platform knowledge, and the ability to translate user and business needs into actionable product decisions.

Own the vision, roadmap, backlog, and priorities for k0rdent AI observability across GPU infrastructure and distributed AI workloads. Define integrations for metrics, tracing, logs, telemetry, and alerting across Kubernetes, networking, storage, schedulers, inference platforms, and databases. Partner with engineering, marketing, field teams, customers, and ecosystem vendors to shape requirements, evaluate trade-offs, develop positioning, and support deployments.

Own end-to-end lending products (origination, underwriting, servicing) and roadmap. Lead integrations with sponsor banks, credit bureaus, and loan management software. Collaborate with engineering, design, risk, data science, compliance to build underwriting, decisioning, and servicing experiences; run A/B tests and document underwriting logic to meet regulatory requirements.

Own the roadmap and reporting strategy for Ignite Analyze, leading customer-facing and internal reporting initiatives. Translate ambiguous stakeholder requests into scoped engineering requirements, define success metrics, and partner with Billing, Membership and Operations to deliver reports and dashboards. Coordinate with other Insights Product Managers on shared roadmaps, reusable reporting patterns, and platform strategy while balancing domain needs with broader priorities.

Lead product strategy and execution for cloud gaming infrastructure, driving roadmaps, end-to-end projects, and infrastructure innovations. Optimize cloud compute, streaming performance, latency, storage, and developer tools to deliver high-quality game streaming. Collaborate cross-functionally, translate performance data into features, and improve developer workflows to enable scalable, performant game streaming experiences.

Lead product strategy and roadmaps for games social platform features (multiplayer, sharing, chat). Drive end-to-end execution for backend systems and partner tooling, align cross-functional stakeholders, use experimentation and UX feedback to iterate, and partner with Trust & Safety, Legal, and Support to ensure a high-quality, trusted social experience.

Own the Helius developer platform roadmap across streaming, archival data, RPC infrastructure, APIs, webhooks, and developer tooling. Engage technical customers, define product guarantees, pricing, packaging, and launches, and track adoption, reliability, usage, churn, and revenue. Work closely with engineering and contribute code through prototypes, integrations, and debugging. The role requires strong distributed-systems knowledge, crypto experience, technical customer empathy, excellent written communication, and high autonomy.

Own execution for Couchbase’s Mobile portfolio, including roadmap delivery, technical requirements, release quality, developer experience, customer escalations, and edge AI capabilities. Partner with engineering, design, sales, marketing, and customers to improve mature products, guide build decisions, validate features, and drive adoption. Serve as the portfolio’s technical evangelist while leading through technical depth and execution excellence rather than people management.

Own the evolution of Attentive’s data platform model and extensibility strategy. Define reusable data objects, relationships, and semantic layers that support diverse customer use cases. Partner with product and engineering to expose data consistently across segmentation, personalization, reporting, APIs, and MCP surfaces. Translate complex infrastructure investments into customer and business outcomes while aligning teams around scalable platform decisions.

Lead software product strategy for workflow solutions integrated with hardware devices. Define roadmaps, prioritize innovation and core-platform investments, establish product management practices, support sales enablement, and guide customer implementations. Collaborate globally with hardware product, engineering, sales, customer success, and executive teams to drive adoption, business outcomes, and scalable software development.

Own the vision, roadmap, and launch of a new AI-focused CI/CD product. Drive the product from internal system to customer offering through user research, design partners, developer experience, positioning, pricing, and cross-functional leadership. The role requires deep understanding of agent-driven software development, CI systems, technical product tradeoffs, and early-stage product development.

Own the strategy, roadmap, evaluation, governance, integration, launch, and lifecycle management of AI tools supporting mortgage sales. Discover Loan Officer needs, prioritize use cases, measure adoption and ROI, evaluate vendors, coordinate risk and compliance approvals, design workflows across enterprise systems, and lead enablement and change management. Partner with technical teams on integrations and internal AI builds while maintaining vendor guardrails and ensuring safe, valuable adoption.