Top Product Manager Jobs in Rochester, NY

Lead product strategy and roadmaps for marketing and e-commerce platforms, optimize CRM-driven customer journeys, collaborate with engineering and data teams, measure KPIs, and drive engagement, acquisition, retention, and digital revenue growth.

Own the roadmap for a product area, prioritize high-impact initiatives, and translate customer problems into product opportunities. Collaborate with engineering, design, marketing, and business teams to discover, prototype, validate, and launch products. Analyze data, navigate technical APIs, drive customer adoption, improve processes, and independently motivate cross-functional teams to deliver high-quality products at scale.

Own the product strategy and roadmap for Temporal’s self-hosted and hybrid deployment offerings. Lead improvements to installation, configuration, upgrades, migrations, operational tooling, storage choices, multi-region and multi-cloud topologies, and Temporal Proxy. Partner with Engineering, Resident Architects, Security, Support, and customer-facing teams to translate enterprise requirements into reliable, operable infrastructure products, particularly for regulated and controlled environments.

Lead global product strategy, roadmap, and lifecycle for Omron's cobot solutions. Translate customer insights into go-to-market offerings, drive cross-functional launches, align with sales, engineering, and partners, and measure performance against revenue, adoption, pipeline, and margin targets.

The Global Product Manager for Cobot Solutions will lead product strategy, drive adoption, manage product lifecycles, and collaborate with teams to enhance Omron's market position in collaborative robotics.

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Own an AI finance product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation frameworks, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory requirements, AI evaluation, reliability, and launch. Partner with engineering, compliance, operations, finance, treasury, and design to build reliable financial products across payments, trading, wealth, and related services. Ensure accurate funds handling, trusted AI features, regulatory compliance, and effective execution in a distributed global team.

Own an AI neobank product vertical end-to-end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering across APIs, data flows, ledgering, reconciliation, security, and scalability. Incorporate KYC, transaction monitoring, privacy, licensing, and regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, compliance, operations, finance, and external partners.

Own the end-to-end strategy, roadmap, metrics, backlog, technical design, regulatory readiness, and launch of an AI-powered investing product. Partner with engineering, compliance, operations, treasury, finance, and design to ensure correct money movement, resilient integrations, trusted AI behavior, and compliant releases. The role requires strong technical product leadership, system design expertise, regulated-domain experience, and hands-on understanding of LLM evaluation and risk management.

Own an AI stockbroking product vertical end-to-end, from strategy and roadmap through technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements including KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own a financial product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Define and prioritize product features, bugs, and improvements for Preset and Apache Superset. Collaborate with engineering and design to deliver and validate functionality, write specs and user-facing documentation, coordinate launches with marketing, gather feedback from customers and the open-source community, and shape product strategy based on competitive research and user interviews.

Owns the unified strategy, roadmap, lifecycle, and performance of two cloud software products serving law firms. Leads customer research, AI and automation initiatives, pricing and packaging, product requirements, backlog prioritization, launches, adoption, and optimization. Partners with engineering, sales, customer service, finance, and technology partners to deliver scalable products, improve retention, and drive profitable revenue growth.

Own platform product strategy and roadmap execution across multiple product lines. Partner with Engineering, Sales, Deal Desk, Product Marketing, and Revenue Operations on platform enablement, customer migrations, feature guidance, releases, and field training. Use customer, competitor, market, adoption, and usage insights to prioritize investments and optimize strategy. Support the migration of legacy customers to Checkmarx One and communicate platform decisions to senior stakeholders.

Own the mobile in-app product line end-to-end: set vision and roadmap, define and track KPIs (adoption, revenue, SDK performance), lead launches, collaborate with Engineering/Ad Ops/Sales, perform customer research with publishers (especially gaming), and build scalable, self-service monetization solutions.

Drive outward-facing product for a B2B lead marketplace: own user research, unit-economics-driven briefs, model impact, run weekly experiments, pull your own data, and ship changes that move LTV, retention, margin, or revenue.

Own product strategy, roadmap, and delivery for Network Connectivity capabilities. Partner with engineering and stakeholders to research, design, launch, and monitor network and cloud networking products (LAN/WAN/WLAN, SD-WAN, VPN, SASE). Manage backlog with Agile tools, track performance metrics, gather customer feedback, and oversee budgets. Mentor others and lead strategy for expert-level roles.

Lead the Contracts product roadmap for a B2B healthcare SaaS platform, applying deep reimbursement and managed care expertise. Partner with AI engineers to build contract-understanding models, drive adoption, iterate on workflows, create business cases, and coordinate cross-functionally with Legal, Finance, Sales, and SMEs to ensure compliant, revenue-aligned contract execution.

Owns an AI-focused finance product vertical end-to-end, including strategy, metrics, prioritization, technical design, regulated financial workflows, and launch readiness. Partners with engineering, compliance, operations, treasury, finance, and design to ensure accurate money movement, reliable failure handling, and trusted AI features. Requires strong system-design knowledge, experience with complex technical products in regulated domains, and hands-on judgment with LLM-based products and evaluation.

The role involves product management of AI tools, collaborating with research, engineering, and design teams to develop and enhance products, focusing on user needs and market value.

Owns care delivery product capabilities including prescribing, prior authorizations, and virtual visit workflows. The role gathers clinical and business requirements, prioritizes roadmaps, translates needs into product specifications, partners with engineering and cross-functional teams, tracks product metrics, facilitates Agile ceremonies, and leads feature rollout and training. It also identifies responsible applications of AI and automation to reduce clinical and administrative burdens in a regulated healthcare environment.

Owner of telephony/contact center product strategy and roadmap. Advocate for customers, manage backlog and OKRs, run discovery, partner with engineering (AWS Connect), prioritize telephony features like routing and IVR, and communicate product status to stakeholders and senior leadership.

Own the product strategy and delivery of network services, including card network and payment gateway integrations. Define unified APIs, webhook models, technical roadmaps, and feature specifications. Partner with engineering, security, UX, legal, and external networks from discovery through launch. Lead customer onboarding, documentation, integration support, and developer enablement. Track adoption, reliability, latency, error rates, integration cycle time, and SLA performance using SQL-driven analysis.