Top Senior Product Manager Jobs in Albuquerque, NM

Own product strategy for a B2B SaaS property-management platform: research market needs, define roadmaps, write requirements and user stories, prioritize features, partner with design, engineering, marketing and customers, measure KPIs, and enable internal teams and sales.

Lead global product strategy and lifecycle for oil-flooded compressor portfolio. Drive VoC research, NPI, pricing, launches, aftermarket growth, S&OP alignment, VAVE cost optimization, cross-functional stakeholder alignment, and financial performance tracking to grow revenue and margins.

Own the vision, strategy, and roadmap for CoinMarketCap’s on-chain data products. Responsibilities include writing product requirements and user stories, analyzing qualitative and quantitative data, collaborating with business, IT, and design stakeholders, evaluating launched features, and assessing competitors and partners. The role focuses on improving on-chain data infrastructure and integrating internal and third-party tools to create valuable products for cryptocurrency users.

Own the product strategy, roadmap, and ongoing operations for KarmaCheck’s ATS, HRIS, HCM, VMS, partner, and public API integrations. Define data flows, API and webhook capabilities, versioning, error handling, documentation, and implementation tooling. Partner with engineering and external platforms, support customer discovery and enterprise sales, scope implementations, enable internal teams, and bring AI and screening products into customers’ existing systems.

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.

Lead the vision and execution of data product roadmap; translate business needs into epics and acceptance criteria; partner with data engineering and analytics; run agile ceremonies and manage backlog; champion data-as-a-product; scope and pilot AI/ML capabilities; present roadmaps and business cases to leadership.

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.

Owns the lifecycle of AI-powered analytics products supporting clinicians, from requirements and discovery through production and maintenance. Partners with data scientists, engineers, clinicians, and executives to define roadmaps, prioritize trade-offs, establish data contracts and SLAs, validate model results, track performance, and demonstrate ROI. Leads Agile scrum teams and drives cross-functional delivery in complex healthcare environments.

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 the observability vision, roadmap, backlog, and priorities for k0rdent AI’s GPU infrastructure control plane. Define integrations across GPU compute, networking, storage, DPUs, schedulers, inference systems, and databases using OpenTelemetry and Prometheus ecosystems. Translate customer and partner needs into product requirements, guide engineering trade-offs, track emerging standards, and support product marketing, field teams, customers, analysts, and ecosystem partners.

Own end-to-end product development for AI/ML revenue cycle solutions: define vision and roadmap, write specs and user stories, prioritize backlog, work closely with data scientists and engineers, drive agile delivery, ensure quality, and measure product performance with stakeholders.

Act as the client-facing bridge to product and engineering: gather and prioritize requirements, manage onboarding/scoping/delivery communications, support engineers with context, create repeatable deployment patterns, and convert customer insights into roadmap priorities.

Lead product management for commercial payments within digital Treasury Management solutions. Own and prioritize the product backlog, translate customer and business needs into requirements, define user stories and acceptance criteria, and lead cross-functional Scrum teams through Agile delivery. Partner with stakeholders across engineering, sales, marketing, and support, monitor KPIs and sprint performance, communicate product plans and risks, and ensure successful releases aligned with customer needs and business objectives.

Lead the strategy, vision, roadmap, prioritization, and execution of an Extended Planning and Analysis product. Engage customers and prospects, translate needs into requirements, collaborate with engineering and design, track adoption and outcomes, and support launches, go-to-market initiatives, sales enablement, and customer adoption. The role requires influencing cross-functional teams while delivering measurable customer and business value in enterprise SaaS.

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 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.

Own core publishing products including email templates, landing pages, forms, and newsletter sites. Identify opportunities, define product vision and strategy, prioritize work, partner with engineering and design, ship major initiatives, measure outcomes, and improve content creation experiences for hundreds of thousands of creators. The role requires strong product judgment, quantitative analysis, systems thinking, AI fluency, visual craft, autonomy, and cross-functional influence.

Own core publishing product surfaces including email editors, landing pages, forms, and newsletter sites. Identify opportunities, define product vision and strategy, prioritize initiatives, collaborate with engineering and design, ship high-quality features, and measure customer and business impact at scale. The role requires strong product judgment, quantitative analysis, systems thinking, AI fluency, cross-functional influence, and attention to visual craft.

Own and execute payment and money-movement products across ACH, bank rails, cards, payouts, repayments, orchestration, settlement, reconciliation, and risk. Translate ambiguous financial requirements into engineering-ready specifications, partner closely with Engineering and cross-functional teams, analyze transaction and operational metrics, and drive implementation, launch readiness, and iteration. The role requires deep technical fluency in payment lifecycles, retries, failures, reconciliation, processor integrations, and risk controls.

Lead product development for Lark Health’s core mobile app and AI coaching platform. Own roadmap initiatives from discovery through launch, using user research, analytics, experimentation, and measurable outcomes. Partner with engineering, design, data science, Enrollment, and EHR teams to deliver responsible healthcare experiences that improve member outcomes.

Own execution of Censys’ Internet Map by defining coverage, enrichment, and data-quality priorities. Translate customer and business needs into detailed engineering requirements, acceptance criteria, schemas, and documentation. Coordinate scanning, DNS, data pipeline, and enrichment roadmaps across product and engineering teams. Track coverage and context quality, evaluate third-party data sources, manage delivery cadence, resolve cross-product priorities, and enable Sales, Marketing, Customer Success, and peer product teams with updates and technical materials.