Top Product Manager Jobs in Madison, WI

The Senior Technical Product Manager will define and execute integrations for a SaaS platform, working closely with engineering and external partners, ensuring technical specifications and testing are thoroughly managed.

Own CDK end-to-end as a product line: define core compliance primitives, drive adoption/revenue, land new verticals, run cross-functional execution with engineering and legal, ensure correctness and reliability at scale, and measure outcomes like conversion and expansion rather than feature output.

The Senior Product Manager will own backend systems, improve operational efficiency, and work on integrations and workflows to support business growth.

The role involves driving product features from research to execution, using AI tools, collaborating with design and engineering teams, and advocating for customer experience improvements.

Lead product strategy and roadmap for the Canadian buyer experience in a digital wholesale vehicle marketplace. Drive end-to-end lifecycle from discovery to delivery, partner with cross-functional teams, use customer research and data to prioritize initiatives, define KPIs tied to revenue and engagement, and mentor product team members. Leverage AI and rapid prototyping to improve customer success metrics.

Lead end-to-end product strategy and execution for data and integrations so partner schools reliably send complete CRM data. Own roadmap, reliability, activation, partner/vendor relationships, and cross-functional work to increase data coverage and scale integrations across multiple CRMs.

Own product roadmaps and execution for fintech products; gather customer insight, define requirements, collaborate with engineering and operations, drive launches, measure performance, and iterate to deliver business value.

The Senior Product Manager advocates for customers, enhances product experiences, analyzes data for improvements, and leads product development strategies while collaborating with technical teams.

Own vision and strategy for a core internal developer platform (Cloud Runtime, Security, Database, Key-Value, Messaging). Partner with engineering and stakeholders to define MVPs, prioritize capabilities, measure product metrics, reduce cognitive load, cut costs, improve performance/reliability, and drive internal adoption through feedback, analytics, and cross-functional collaboration.

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.

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 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 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.

The Principal Product Manager will lead product strategy and development for Akamai's Public Sector cloud products, ensuring compliance and collaborating with stakeholders.

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.

Lead strategy and delivery for Sureify's external-facing API platform (including IRI DFA). Define roadmap, author API specs, engage carriers, represent Sureify in standards groups, evangelize the product, and partner with engineering, sales, and professional services to build a scalable, developer-friendly API suite.

Lead product strategy and roadmap for Akamai's core compute offerings, bridging hardware and developer experiences. Gather and document technical requirements, prioritize features, analyze metrics for KPIs and profitability, collaborate cross-functionally, and engage customers and partners to drive compute platform adoption and improvements.

Lead vision, strategy, and commercialization for AI-powered provider utilization management products. Define roadmaps, lead cross-functional teams, conduct market research, size opportunity, build business cases, drive GTM and pricing, partner with clients and accounts, track product performance, and enable adoption and upsell through close work with marketing, sales, and customer success.

Work with PMs, designers, engineers, and leadership to support discovery, scope, and ship features across consumer and B2B SaaS products. Contribute to sprint rituals, documentation, tracking, and stakeholder communication while growing product skills in a remote startup environment.

Own the strategy, roadmap, and execution for a core Jama Connect product area. Translate customer, business, and commercial needs into shipped outcomes that increase adoption and revenue. Lead discovery, prototyping, experimentation, prioritization, and cross-functional delivery with Engineering, Design, sales, and Customer Success. Engage enterprise customers, support late-stage deals, analyze market and win/loss signals, and drive product decisions autonomously in a fully remote environment.

Own the end-to-end strategy, roadmap, requirements, delivery, launch, and measurement of AI-powered security operations products. Partner closely with engineering, sales, customer success, and enterprise security customers to prioritize work, build trust through transparency and control, and define how autonomous agents transform SOC workflows.

Owns the technical strategy, roadmap, requirements, and delivery of scalable data solutions. Partners with business, product, design, and engineering teams to prioritize high-impact features, assess vendors, guide architecture, incorporate AI strategies, and resolve technical issues. The role requires strong BI and data warehouse expertise, technical leadership, stakeholder communication, agile product development, customer delivery support, and mentoring responsibilities.

Define and execute Kraken’s hybridization and broader onchain product strategy across Pro and Consumer. Own the product lifecycle from discovery through launch and iteration, drive cross-functional execution, evaluate ecosystem integrations, simplify complex onchain experiences, and use metrics and experimentation to improve products. The role requires onchain expertise, consumer product management experience, stakeholder influence, partner negotiation, technical fluency, and strong product judgment.