Top AI Product Manager Jobs in Chicago, IL

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.

Owns the strategy, roadmap, backlog, governance, and performance outcomes for AI and API enablement platforms. Partners with engineering, security, risk, audit, compliance, and enterprise stakeholders to deliver secure, reusable capabilities. Drives platform modernization, automation, developer self-service, adoption, and continuous improvement through metrics and OKRs. Communicates roadmap progress and business value to leadership while supporting API management, cloud, AI integration, and enterprise shared-service initiatives.

Defines and delivers scalable AI products, platforms, and capabilities across the enterprise. Establishes product vision, roadmaps, success metrics, and priorities while partnering with Technology, Data, Risk, Security, and business teams. Drives product discovery, agile delivery, adoption, governance, observability, operational effectiveness, and continuous optimization using analytics, OKRs, platform telemetry, and stakeholder feedback.

Own the strategy, architecture, evaluation, and production delivery of Jerry.ai’s AI agents and workflow automation platform. Lead chatbot, voicebot, computer-use agent, document validation, transaction orchestration, and external system automation initiatives. Evaluate emerging AI technologies, make technical investment decisions, partner with OpenAI, and collaborate closely with engineering and prompt engineering teams. The role requires hands-on experience launching LLM systems and managing evaluations, regressions, latency, cost, and failure handling.

Owns the strategy, prioritization, requirements, launch, adoption, and continuous improvement of AI-enabled products. Translates ambiguous healthcare, clinical, operational, and business needs into product roadmaps, PRDs, KPIs, and execution plans. Partners with engineering, data, security, compliance, legal, clinical, and operations teams to deliver responsible, secure, compliant, and measurable AI solutions.

Own Litify’s AI Call Intelligence product line end to end, including call capture, transcription, summaries, conversational insights, voice agents, and agentic workflows. Define the roadmap, quality standards, guardrails, and evaluation practices; lead client discovery, beta programs, competitive research, backlog prioritization, and cross-functional delivery. Partner with engineering, design, data science, and go-to-market teams to launch products, drive adoption, and measure outcomes.

Own the strategy, development, launch, and performance of a new AI wedding product from zero to one. Responsibilities include defining the roadmap, market positioning, trustworthy AI behaviors, rapid prototyping, user testing, measurement, unit economics, and use of proprietary marketplace and behavioral data. The role also partners with executive, engineering, design, marketing, and data science leaders to shape company-wide AI direction.

Own the strategy, roadmap, and delivery of Gigawatt’s customer-facing AI agent platform for utilities. Lead SDK and no-code builder experiences, agent orchestration, retrieval, evaluation, observability, governance, tenant isolation, auditability, and human-in-the-loop controls. Partner with engineering, design, security, and utility customers to ship production-ready capabilities, define platform commitments, and drive adoption, quality, reliability, and cost outcomes.

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 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.

Own the full lifecycle of AI products, from discovery and requirements through launch, adoption, and continuous improvement. Define product strategy, roadmaps, backlogs, KPIs, and investment priorities while partnering with engineering on architecture and implementation trade-offs. Align technical and executive stakeholders, challenge assumptions constructively, and drive scalable B2B and B2C product solutions across a 30+ engineer AI organization.

Owns product vision, strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Leads intake, packaging, launch, distribution, lifecycle management, reusable platform primitives, standardized contracts, automation, and self-service experiences. Partners with engineering, TPM, compliance, operations, and product teams to establish standards, manage dependencies, and improve onboarding through measurable metrics such as availability time, throughput, reuse, launch success, and reduced manual work.

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.

Lead Verizon’s AI infrastructure networking product growth strategy from market identification through commercialization and revenue expansion. Develop ecosystem partnerships with hyperscalers, GPU providers, data center operators, colocation providers, OEMs, and infrastructure partners. Build pricing models, business cases, capacity commitments, and multi-year agreements for optical, fiber, programmable networking, and data center connectivity services. Collaborate with engineering, finance, legal, sales, and product teams while tracking pipeline, contracts, revenue conversion, and partner performance.

The Product Manager will help bring the EBSCOhost AI Exchange platform and MCP-based solutions to market. Responsibilities include supporting go-to-market initiatives, gathering customer and market feedback, collaborating with technical and cross-functional teams, communicating stakeholder updates, defining business requirements, and supporting roadmap visibility. The role requires 0–2 years of product management experience, familiarity with AI agents and MCP workflows, customer collaboration, and strong organizational teamwork.

Lead Storyblocks’ AI product team and own the roadmap for conversational search and its MCP connector. Partner with engineering, data science, design, research, marketing, and analytics to define metrics, run experiments, conduct customer research, manage complex platform launches, and deliver business results. The role requires shipping customer-facing AI products, optimizing search and relevance, evaluating models, and communicating priorities to technical and executive stakeholders.

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.

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.

Leads strategy, discovery, delivery, evaluation, and continuous improvement for AI-enabled enterprise products and tools. Defines product roadmaps, user stories, KPIs, and evaluation frameworks covering reliability, accuracy, security, cost, and performance. Uses customer feedback, market analysis, and experimentation to prioritize features and validate assumptions. Partners with engineering teams, including colleagues in India, and translates complex AI concepts into scalable business value.

Own the unified roadmap for AI Transformation and Salesforce products. Lead discovery, requirements, prioritization, backlog management, delivery, adoption, and go-to-market coordination across two engineering teams. Partner with business, Legal, Security, Compliance, and Salesforce stakeholders to implement generative and agentic AI solutions, automation, and platform enhancements. Define product metrics, analyze performance, communicate strategy and trade-offs, and drive scalable products that improve employee and customer experiences.

Owns AI-enabled products from discovery through governed release, adoption, and continuous improvement. Translates banking business problems into product requirements, user stories, backlogs, delivery plans, controls, and measurable outcomes. Configures AI agents, retrieval patterns, workflow automations, data flows, and integrations while coordinating business, technology, data, risk, compliance, and operations partners. Monitors product usage, quality, business impact, adoption, and governance measures in a regulated environment.

Owns the strategy, roadmap, delivery, governance, adoption, and measurable business outcomes for AI-enabled products across Corporate and Commercial Banking. The role partners with bankers, business leaders, technology, data, risk, compliance, and operations teams to prioritize opportunities, deliver governed AI capabilities, manage portfolio execution, drive adoption, and oversee integrations, automations, data flows, retrieval systems, and AI agents. The position also coaches product and delivery teams and ensures responsible AI, privacy, controls, and regulatory requirements are embedded throughout delivery.