Top Product Manager Jobs in Dayton, OH

As a Staff Product Manager, you'll drive the strategy and success of SIEM products, collaborating with various teams to fulfill customer needs and market demands while focusing on security for SMBs.

Own product strategy and roadmap for an early-stage B2B SaaS HR/performance platform. Translate customer insights into requirements, ship features quickly, iterate from feedback, and build product processes and a customer-centric culture while working closely with founders and customer success.

Own one or two client AI product engagements from kickoff through iteration. Translate ambiguous needs into requirements, backlogs, sprint plans, and evaluation criteria; manage timelines, scope, resources, and client communications; direct designers and engineers; ensure AI output quality; identify blockers; and develop repeatable AI-first delivery processes. The role requires client engagement experience, a track record of shipping AI products or features, strong communication, technical fluency, and independent ownership.

Own product areas and help shape Rentana’s roadmap, priorities, requirements, and execution. Translate customer feedback into product solutions, collaborate with engineering and design, coordinate releases from concept through general availability, conduct customer research, analyze product usage and market trends, and improve product development processes. The role focuses on B2B SaaS and data-heavy software in a fast-paced startup environment.

Own the strategy, execution, customer success, and go-to-market for Oscilar’s Device and Behavior product. Lead development of SDKs, signal pipelines, behavioral biometrics, agentic identity signals, data networks, foundation-model capabilities, and analyst experiences. Partner with sales and customers to drive adoption, shape product positioning, and deliver a device intelligence and digital identity platform for fraud, onboarding, authentication, and risk decisions.

Owns the roadmap and lifecycle of supply chain data products, from discovery and prioritization through launch, adoption, and outcome measurement. Defines data concepts, KPIs, business rules, quality standards, and operational requirements while partnering with engineering, analytics, architecture, and supply chain stakeholders. Uses Databricks and lakehouse concepts to support analytical and operational workflows involving inventory, replenishment, logistics, fulfillment, transportation, and exception management. Requires occasional travel to operational facilities.

Own the catalysis product strategy, roadmap, and commercial expansion for an AI-driven materials discovery platform. Translate CHIPS Act objectives into product requirements and fulfillment evidence, define scientific datasets and model benchmarks, guide reaction-level modeling, and quantify customer value. Partner with scientists, program managers, business development teams, industrial customers, semiconductor organizations, catalyst manufacturers, and national laboratories. Lead segmentation, packaging, pricing, strategic partnerships, KPIs, and build-versus-buy decisions across refining, chemicals, emissions control, semiconductors, and energy-transition markets.

Manage optical networking products and services for North American customers. Align product roadmaps with network evolution, gather and prioritize feature requests, develop innovative solutions, support pricing and profitability, analyze market and competitor trends, and collaborate with sales and account teams. Present product strategies and roadmaps to internal and external stakeholders while building strong customer relationships and coordinating cross-functional initiatives.

Own the vision, strategy, roadmap, discovery, delivery, and continuous improvement of Rezilient’s member experience products. Partner with clinical operations, engineering, design, customer success, and sales to ship accessible, engaging healthcare experiences. Define requirements, prioritize backlogs, establish product metrics, ensure healthcare compliance, and help integrate AI into care delivery. The role requires experience scaling consumer health products, building AI or machine learning features, and operating effectively in a regulated startup environment.

Own the core database and degree audit system for a higher education technology platform. Set product direction for a squad of 4–6 engineers, provide technical expertise on data modeling and system connections, prioritize delivery, lead discovery, document requirements, and drive user acceptance testing while partnering with implementation, integration, and customer success teams.

Owns Twilio’s strategic email data plane integrations strategy, product roadmap, and lifecycle from concept through launch. Leads prioritization, requirements, migration from legacy products and APIs, launch planning, and cross-functional collaboration with engineering, partners, and go-to-market teams. The role requires deep email expertise, strong technical understanding of APIs and cloud services, enterprise product experience, and the ability to drive scalable, reliable systems and measurable business outcomes.

Owns the roadmap, prioritization, delivery, and optimization of internal AI products supporting Revenue Operations. Partners with RevOps, engineering, data, and product teams to develop AI capabilities for forecasting, sales execution, deal governance, proposals, and enablement. Uses stakeholder research, workflow analysis, usage data, and outcome metrics to improve adoption, accuracy, productivity, process efficiency, deal quality, and revenue impact.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business and customer needs into product requirements, coordinate engineering and AI teams, define success metrics, monitor adoption and ROI, and support responsible AI governance. The role also involves stakeholder management, leadership communication, market and technology evaluation, release planning, and ensuring successful product implementation.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.

Own the strategy, roadmap, and outcomes for Calendly’s intelligent customer experience, including AI support quality, automated issue resolution, human escalations, measurement, and observability. Partner across Product, Engineering, AI/Data, Growth, Monetization, Trust & Safety, Support, and Content Operations to improve resolution rates, customer satisfaction, and supportability. Establish company-wide standards, use customer and support data to prioritize investments, and translate recurring issues into product and engineering improvements.

Own Salesforce administration and operational infrastructure across commercial workflows, agreements, contracts, reporting, and integrations. Improve data integrity, automate processes, translate business requirements into technical specifications, and coordinate implementations with technical teams. Develop documentation, training, governance standards, dashboards, and AI-enabled workflows while partnering with leadership, Legal, and business stakeholders to improve operational efficiency and adoption.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

Own end-to-end strategy, roadmap, delivery, adoption, safety, and commercial readiness for AI-native cybersecurity products. Conduct customer and partner discovery, lead 0-to-1 launches, define experimentation and evaluation frameworks, and collaborate with engineering, design, sales, finance, and executives. The role requires hands-on LLM product expertise, strong judgment in ambiguous environments, and a focus on trusted AI experiences for security professionals and MSP/MSSP partners.

Own the strategy and roadmap for G2’s Data Solutions ecosystem, including APIs, MCP, integrations, partner capabilities, and developer surfaces. Drive revenue growth, customer adoption, partner expansion, integration migration, and platform reuse. Collaborate across Engineering, Data, Partnerships, Revenue, Customer Success, and Marketing while prototyping integrations and targeted code. Shape data offerings, packaging, delivery, and customer solutions for technical B2B audiences.

Own the end-to-end strategy and roadmap for G2’s user-generated content product system, including contributor experiences, review collection, trust and quality, AI-assisted workflows, customer activation, distribution, and buyer value. Lead experimentation, funnel instrumentation, incentives, verification, integrations, and reusable product capabilities while aligning Engineering, Design, Data, Research, Operations, Revenue, Marketing, and Customer Success teams.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.

Own 0-to-1 AI product development for specialty pharmacy. Identify ambiguous customer problems, conduct discovery with pharmacists, patients, and customers, define solutions, and work closely with Engineering and Design to ship quickly. Build data-backed product cases, communicate clearly, operate independently, and thrive in a fast-paced startup environment. Healthcare experience is not required, but curiosity about regulated healthcare and strong interest in AI are important.

Lead vision, strategy, roadmap, customer discovery, monetization, delivery, go-to-market, and post-launch health for MongoDB’s Client Libraries portfolio. Own high-impact product decisions across database drivers, SDKs, ODMs, and framework integrations. Influence cross-functional teams and senior stakeholders, manage enterprise customer relationships, identify technical and operational risks, develop business cases, support launches, and mentor junior product managers.

Supports product managers by translating requirements and approved designs into engineering-ready tickets, user stories, acceptance criteria, and implementation specifications. Maintains the backlog, participates in Agile ceremonies, coordinates cross-functional delivery, triages customer issues, and tracks sprint and release risks. Conducts customer, market, competitive, and adoption analysis to inform product decisions. Uses AI tools for documentation and research while collaborating with design, engineering, QA, and customer-facing teams.

Lead product vision and multi-year strategy for developer infrastructure across the code lifecycle. Own roadmap for CI/CD, release automation, testing, deployments, and production readiness; drive migrations to simplify systems, measure quality with scorecards, partner with Engineering/SRE/Security, and integrate emerging (AI) capabilities to improve developer velocity and reliability.