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Lead end-to-end vision and roadmap for a mobile-first web product in collectibles. Partner with design, engineering, and business teams to build, test, and scale experiences; modernize legacy processes; define and drive KPIs; mentor PMs; champion AI adoption; and communicate clearly to executives and engineers while inspiring customers and internal stakeholders.

Owns intake, planning, and execution of fulfillment product features, enhancements, and defect resolution for the Shopper app. Partners with technology, data science, economics, design, engineering, and operations teams to improve fulfillment quality, delivery tooling, onboarding, earnings tracking, and worker engagement. Uses data, AI-native practices, storytelling, and technical judgment to make product decisions and influence stakeholders.

Owns the roadmap, problem definition, business cases, prioritization, and delivery for a core fintech platform area. Partners with product owners, engineering, data science, marketing, sales, clients, and support to develop scalable, data- and AI-driven capabilities. Monitors adoption, time-to-value, and retention, supports go-to-market activities, incorporates customer feedback, and addresses regulatory and compliance requirements.

Own the strategy, roadmap, discovery, requirements, delivery, quality testing, and adoption of AI-native products for life sciences documentation workflows. Partner with customers, engineering, AI, design, implementation, and customer success teams to build reliable, traceable, explainable products using LLMs, RAG, agents, evaluation, citations, and human review. Translate complex regulatory and scientific workflows into prioritized product plans and establish product management practices in a fast-paced startup.

Own product strategy and execution by translating customer needs and emerging AI capabilities into product bets. Lead engineering, design, growth, marketing, and sales from concept through launch and adoption. Set goals, measure outcomes, and improve each launch while shaping developer experiences for software validation.

Own Calendly’s user engagement strategy across in-product and email experiences. Build ranking, timing, and trigger systems that encourage users to return while protecting brand trust. Lead ML-powered personalization and experimentation informed by qualitative user insights, balancing company objectives with user needs. Ship quickly, learn from real usage, and drive sustainable long-term growth. This hybrid role requires working from the San Francisco office one to three times weekly and may involve occasional travel.

Lead development of a 0→1 agentic AI finance product: define strategy, design solutions and UX, collaborate with engineering, design, and commercial teams, achieve product-market fit, and scale using cutting-edge LLM techniques.

Own the vision, strategy, roadmap, and end-to-end execution for AI-powered marketplace products serving freight brokers and carriers. Partner with founders, engineering, operations, and go-to-market teams to scale adoption, ship quickly, establish product standards, and deliver measurable results. Use customer insights and data to make high-judgment decisions, manage change, and build category-defining products in an ambiguous, fast-paced environment.

Own product vision and execution in partnership with Engineering, Design, customers, and leadership. Improve product management practices, identify product and business opportunities, prioritize user needs, and build data-driven dashboards for accountability. Lead customer and internal communications for feature rollouts while remaining accountable for business outcomes. The role focuses on data-intensive healthcare payment software and requires technical fluency, collaboration, and outcome-oriented decision-making.

Lead strategy for enterprise expense management, unifying documentation, policy, compliance, approvals, audit, and ERP readiness. Align cross-functional teams (Engineering, Design, Risk, Compliance, Accounting, GTM) to build AI-driven automation that reduces manual work, speeds close, improves adoption, and supports complex enterprise workflows and data models.

Lead strategy for Brex Card operational spend to grow volume and recurring revenue. Own issuance, authorizations, controls, servicing, and economics; align cross-functional teams; use AI to monitor health and automate servicing; and improve authorization performance, reliability, and workflow adoption while protecting economics and customer trust.

Lead strategy and execution for Brex's Embedded API and partner platform. Drive partner discovery, technical and commercial planning, reusable API and tooling design, and cross-functional alignment. Own launches, integration speed, reliability, adoption, payment volume, and revenue while simplifying developer experience using AI and ensuring scalable, secure integrations.

Lead product direction and execution for Ambrook's AI-native financial products. Own roadmaps, prioritize features, run pods with engineers and designers, use quantitative and qualitative data, visit customers, and improve product processes and measurement to drive acquisition, engagement, and retention.

Own a product area end to end by understanding customer problems, writing precise specifications, and driving execution with engineering and design. Develop mortgage industry expertise, work closely with customers, and shape practical AI applications for a regulated industry. Contribute to product strategy, team culture, and company growth while navigating complex problems with curiosity, persistence, and strong communication.

Owns the strategy and roadmap for Duck Creek’s billing product domain, including invoicing, payments, collections, commissions, disbursements, reconciliation, and automation. Partners with engineering, architecture, data, finance, sales, and customers to deliver configurable, scalable, compliant, and explainable billing capabilities. Leads discovery, prioritization, AI-enabled decision support, governance, adoption, and financial outcomes for insurance billing workflows.

Own Celigo’s Customer Zero program, driving internal adoption of its integration and automation products across GTM, CX, and G&A systems. Build the roadmap, improve business processes, prioritize product feedback, and establish governance, reference architectures, and proof points. Partner with Product, Engineering, Sales, and Marketing, while representing Celigo externally through customer conversations and industry events. The role requires strong product leadership, enterprise systems expertise, AI fluency, executive presence, and an outcomes-focused approach.

Leads strategy, vision, roadmaps, prioritization, and measurable outcomes for enterprise data products supporting corporate functions. Partners with business and technology stakeholders to deliver analytics, governance, operational decision-making, and AI-enabled experiences. Coaches Product Owners and product teams, manages tradeoffs, tracks KPIs, conducts discovery, and promotes Agile product practices. Requires extensive enterprise data product experience, preferably in financial services or regulated industries.

As an AI Product Manager, you'll shape AI-powered applications, drive product development, collaborate with teams, and ensure alignment with business objectives and user needs.

The Forward Deployed Product Manager engages with customers to ensure successful outcomes, translating feedback into product requirements and managing product strategy and execution.

Lead end-to-end product development for autonomy-focused engineering products: define strategy and roadmap, conduct user research and analytics, translate insights into requirements with engineering and design, manage launches and GTM coordination, and build scalable product processes as an early product team member.

Looking for a graduate for the SAP Functional | SAP PM role. Responsibilities and specifics not detailed.

Own end-to-end product strategy and delivery for a high-throughput data platform powering AI model training. Design and optimize ingestion pipelines, improve onboarding and file-transfer reliability, ensure data quality, partner with engineers and operations, use analytics to prioritize features, and support client delivery and reconciliation.

Lead product prioritization and execution for AI-driven tools that automate contractor front-office tasks. Partner with customers to discover automation opportunities, define specs, and work with engineering and design to launch AI agents integrated with systems like ServiceTitan.

Own GTM metrics and lead 0->1 and 1->N initiatives to build AI-powered growth infrastructure. Partner with Sales, Marketing, RevOps, Engineering, and Data to increase pipeline, conversion, activation, and retention through experimentation, automation, and scalable revenue tooling.

Define roadmap and priorities for agentic developer tooling and APIs. Partner with research and engineering to ship SDKs, APIs, and infrastructure that make building, scaling, and safely operating agentic applications easier for developers.