Product Manager

• Define Product Vision & Strategy
• Own and drive the product roadmap aligned to business goals and customer needs
• Translate strategy into clear product requirements and prioritized backlogs
• Identify opportunities for data, AI, and platform-driven innovation
• Work closely with stakeholders to understand user needs and pain points
• Build solutions that deliver meaningful user value and measurable impact
• Define and track KPIs, success metrics, and product adoption
• Collaborate with engineering, data, design, and business teams
• Leverage data insights, analytics, and experimentation to inform decisions
• Lead agile delivery: sprint planning, backlog grooming, prioritization

Senior Product Manager - Tech S and T Cloud

• Synchronizing priorities from different stakeholders to streamline execution
• Collaborating with global product management to translate market requirements to product requirements
• Interacting with stakeholders to develop requirements
• Creating and grooming the backlog for teams
• Working on Corporate research projects
• Balancing product release expectations from product management

R&D Product Owner

• Own and prioritize the LEAP product roadmap and backlog in partnership with operations leadership, JBS (JLL Business Services), and business line stakeholders
• Drive platform adoption across business lines by identifying barriers, aligning stakeholders, and building the business case for migration onto the common platform
• Partner with data science and engineering teams to improve AI abstraction accuracy (targeting >85% first-pass yield), define model performance requirements, and validate outputs
• Translate complex lease abstraction and data management workflows into clear product requirements, user stories, and acceptance criteria
• Establish and monitor KPIs including adoption rates, average handling time (AHT), abstraction accuracy, and downstream data quality metrics
• Lead stakeholder engagements with operations leaders to align on transformation milestones, capacity planning, and optimization priorities
• Collaborate with the Enterprise Data Platform team to ensure LEAP outputs align with JLL’s enterprise data strategy and downstream consumption requirements
• Drive change management efforts to support onboarding of new business lines and ensure smooth transitions from siloed abstraction workflows to the centralized platform
• Leverage Agile methodologies to deliver incremental value, running sprint planning, backlog grooming, and retrospectives with cross-functional teams
• Prepare progress reports for senior leadership on adoption milestones, efficiency gains, and platform performance

Senior Product Manager

• Own and define the product vision, roadmap, and backlog for the DMS platform
• Gather, analyze, and translate business requirements into user stories with clear acceptance criteria
• Act as a primary liaison between business and technical teams
• Prioritize backlog based on business value, customer impact, and strategic goals
• Drive Agile ceremonies – sprint planning, reviews, backlog grooming, and retrospectives
• Ensure timely delivery of features with high quality and usability
• Collaborate with UX, engineering, and QA teams for seamless product execution
• Monitor product performance, feedback, and adoption; continuously enhance user experience
• Support UAT, releases, and post-production improvement initiatives

Lead Product Owner – Dealer Management System (DMS)

• Support and train the user community of SKF engineering software.
• Collect and indicate necessary steps to translate mechanical applications into calculation models.
• Drive knowledge transfer to the SKF engineering community and software product engineer.
• Organize user requirements and translate them into software enhancements.
• Prepare information for tech-notes, documentation, webinars, and presentations.
• Give tier 2 support to the SKF engineering community on technical issues.
• Validate and verify software tools relative to user requirements.
• Advise management on development in competence areas.
• Document knowledge related to bearing applications.

Software Product Lead

• Oversee product development and manage product lifecycles
• Develop product strategies and manage product roadmaps
• Coordinate with cross-functional teams
• Work with stakeholders to address product challenges and drive successful outcomes
• Oversee project planning, execution, and delivery
• Manage project teams and develop project plans
• Ensure projects meet objectives and deadlines

• Define and prioritize the product backlog for TI Platform, focusing on data and third-party integration to streamline our overall roadmap.
• Collaborate with engineering to design and implement API and AI-first solutions, ensuring compatibility with Flexera One.
• Drive integration with internal products (e.g., IT Visibility dashboards, CCO, ITAM, etc systems) to enhance data flows and analytics.
• Act as the primary liaison between Product Management, engineering, and internal teams, ensuring alignment on priorities and deliverables.
• Facilitate Agile ceremonies (e.g., sprint planning, retrospectives) to maintain momentum post our recent Itasca workshop.
• Translate business needs into technical requirements, creating user stories and acceptance criteria.
• Drive adoption of platform services across internal teams, targeting 90% adoption within six months.
• Gather feedback from stakeholders to iterate on connector features, ensuring they deliver measurable value (e.g., improved cost tracking).

Product Owner

• Define product vision and strategy for AI-driven capabilities within Employee Service.
• Lead the conceptualization and delivery of Agentic AI workflows.
• Drive product and architectural decisions around LLM integration.
• Design robust evaluation frameworks for AI agents.
• Engage directly with enterprise customers to understand complex pain points.
• Collaborate deeply with engineering, data science, and UX teams.

Product Management Director

• Drive growth in Revenue Cloud by building CLM features to support key enterprise customer needs across contract authoring, negotiation, execution, amendments, and renewals.
• Own the product vision for Salesforce Contracts.
• Be an expert on CLM use cases, legal operations domain, and the competitive landscape.
• Define and drive the AI strategy for contracts — including clause intelligence, contract playbooks, AI-assisted redlining, and Agentforce-powered contract agents.
• Collaborate with UX and the technology team to develop, test, and deliver assets to engineering — from clause library design to document generation workflows.
• Evangelize the vision to customers, team, and stakeholders and ensure that it aligns with the overall Revenue Cloud and company vision.
• Build and deliver a roadmap that excites customers and colleagues alike by building a well-defined backlog spanning contract authoring, negotiation, compliance, and analytics.
• Partner closely with adjacent product teams (CPQ, Billing, Document Generation, Data Cloud, Agentforce) to deliver a seamless quote-to-contract-to-cash experience.
• Manage and expand relationships between Product and Engineering teams to deliver world-ready products and internationally applicable features including multi-language contracts and regional compliance.
• Embrace a culture that measures and rewards customer adoption and success.
• Define what success means for everything you release before it's built.
• Develop ways to consistently define and monitor success.

• Own the product roadmap for your stream, working with the Senior PM to break quarterly goals into weekly deliverables.
• Run discovery with business stakeholders: understand store operations, customer journeys, sales patterns, and operational pain points firsthand.
• Write clear PRDs, user stories, and acceptance criteria that engineers can build from without ambiguity.
• Prioritize ruthlessly.
• Work with the data analyst to define metrics, track feature impact, and build a habit of data-informed decisions.
• Coordinate across streams: app, ecommerce (Magento), CRM, analytics, and content.
• Facilitate sprint planning, standups, and retrospectives.

• Own the roadmap for HighLevel's document creation experience — an AI-powered, drag-and-drop builder that lets users design fully custom templates for every document type.
• Extend the existing builder (currently supporting Documents and Contracts) to cover Invoices, Estimates, and Receipts with type-specific fields, logic, and layouts.
• Define the rules, triggers, and customization options governing how documents move through each stage — including partial payments, payment reminders, disputes, and failure handling.
• Lead the build of HighLevel's native e-signature product — a direct alternative to standalone contract tools — supporting legally binding signatures across document types.

Senior Product Manager – Documents

• Lead the end-to-end New Product Development (NPD) lifecycle, from initial ideation to commercial launch, for next-generation IoT platforms and solutions spanning Connected Cars, Advanced Metering Infrastructure (AMI), and Industry 4.0
• Direct a dedicated team of 4-5 product professionals to architect, build, and scale core platform capabilities across Connectivity Management Platforms (CMP), Device Management Platforms (DMS), and Application Enablement Platforms (AEP)
• Serve as the organizational Center of Excellence (CoE) for scalable IoT architectures, translating evolving enterprise needs into innovative, revenue-generating digital propositions
• Drive cross-functional execution with Network, IT, Legal, Finance, and Vodafone Group teams to ensure swift, compliant, and time-bound product rollouts
• Formulate the long-term innovation roadmap and spearhead the complete execution of new products
• Establish robust development gates for Connected Vehicles, Smart Utilities (AMI), and Remote Asset Monitoring

GM, Product Lead – Application & Platform

• Partner with senior team members to develop and maintain a product roadmap that reflects Commercial Strategy objectives and priorities while incorporating ongoing stakeholder feedback
• Serve as the Product Owner for Intapp DealCloud, managing the platform from both a business and technical perspective, including configuration, workflows, permissions, page layouts, user access governance and all integrations
• Partner with Marketing and Commercial Strategy leadership to ensure alignment across platforms, support customer segmentation, audience targeting, lifecycle management and journey orchestration through connected platform data
• Evaluate and implement enhancements, automation opportunities and third-party solutions that improve platform functionality and user experience
• Define and enforce data governance standards across DealCloud, including data definitions, required fields, workflow controls and usage protocols, maintaining integrity through recurring audits, exception reporting and deduplication
• Ensure platform data supports accurate reporting, pipeline visibility, account planning and commercial analytics, collaborating with Data Analytics, Marketing and Account Teams to drive reporting consistency and actionable insights
• Support Commercial Enablement leadership with dashboard development and operational analysis
• Document workflows, business processes and SOPs to drive consistency, and partner with cross-functional stakeholders to identify opportunities for automation and operational efficiency
• Support user onboarding, training and adoption initiatives to maximize platform utilization
• Share and manage best practices as well as lead internal trainings where required
• Support talent acquisition and firm development efforts
• Contribute to creating a high-performing and inclusive culture

Vice President, Commercial Strategy – Product Management

• Work with Customers, partners and professional services to understand market needs
• Development to support the evolution of the framework, applications and community insights
• Sales and alliances to help position the analytics and analytics platform portfolio
• Marketing to support campaigns, webinars, events, pricing and packaging
• Legal and licensing to write the terms and process for app certification
• Support to ensure the apps can be certified and supported appropriately
• Responsible for this part of the Supply Chain portfolio across the entire product lifecycle from strategy to delivery

Principal Product Manager

• Define and own the product vision, architecture and implementation strategy, and roadmap for a suite of healthcare data products spanning the U.S. payer and market access landscape.
• Drive multi-product roadmap planning, identifying opportunities to extend core data assets into adjacent product lines and new use cases.
• Translate complex business needs into actionable product priorities by collaborating with cross-functional stakeholders across engineering, content, delivery, and commercial teams.
• Define and track product KPIs — including data completeness, fill rates, classification accuracy, refresh timeliness, and client adoption — to inform roadmap prioritization and demonstrate product value.
• Manage relationships with third-party healthcare data vendors; evaluating data quality, negotiating source activation/deactivation, and ensuring seamless integration of vendor feeds into core product pipelines.
• Define and govern the data models and classification frameworks that represent complex payer ecosystems, benefit structures, and access relationships by partnering with engineering to ensure precision, scalability, and clarity.
• Establish and enforce data standards, business rules, and classification methodologies that ensure consistency, accuracy, and long-term scalability across products.
• Lead, mentor, and grow a cross-functional product team — fostering a culture of ownership, curiosity, and continuous improvement.
• Serve as a trusted product authority for internal consulting and commercial teams — translating complex data concepts into clear, actionable guidance for client-facing conversations.
• Drive operational excellence by standardizing processes, introducing automation, and strengthening governance to reduce risk and improve throughput.

Senior Product Manager – Product Solutions

• Define and own the product vision, architecture and implementation strategy, and roadmap for a suite of healthcare data products spanning the U.S. payer and market access landscape.
• Drive multi-product roadmap planning, identifying opportunities to extend core data assets into adjacent product lines and new use cases.
• Translate complex business needs into actionable product priorities by collaborating with cross-functional stakeholders across engineering, content, delivery, and commercial teams.
• Define and track product KPIs — including data completeness, fill rates, classification accuracy, refresh timeliness, and client adoption — to inform roadmap prioritization and demonstrate product value.
• Conduct independent market and domain research to stay ahead of evolving payer dynamics, benefit design trends, and regulatory shifts that impact product positioning.
• Manage relationships with third-party healthcare data vendors; evaluating data quality, negotiating source activation/deactivation, and ensuring seamless integration of vendor feeds into core product pipelines.
• Define and govern the data models and classification frameworks that represent complex payer ecosystems, benefit structures, and access relationships by partnering with engineering to ensure precision, scalability, and clarity.
• Establish and enforce data standards, business rules, and classification methodologies that ensure consistency, accuracy, and long-term scalability across products.
• Define integration requirements that allow internal data assets to interoperate seamlessly with diverse third-party healthcare datasets (e.g., formulary, claims, reference data) while maintaining vendor-agnostic principles.
• Design and maintain product governance processes — including refresh cadences, issue resolution workflows, and continuous improvement mechanisms.
• Define quality assurance standards and monitoring protocols and work with engineering and analytics teams to implement automated frameworks using SQL, cloud data platforms, and BI tools to proactively safeguard data integrity.
• Lead, mentor, and grow a cross-functional product team — fostering a culture of ownership, curiosity, and continuous improvement.
• Own the full talent lifecycle — from defining role requirements and designing assessments to interviewing, onboarding, and retaining high-caliber talent.
• Drive performance management with intentionality — delivering structured feedback, managing career development conversations, and recognizing contributions that reinforce a high-performance culture.
• Serve as a trusted product authority for internal consulting and commercial teams — translating complex data concepts into clear, actionable guidance for client-facing conversations.
• Lead the resolution of complex client-reported data issues — conducting root cause analysis, quantifying business impact, and delivering clear corrective actions.
• Manage the design and delivery of client-specific data solutions — balancing customization needs with core product integrity and scalability.
• Own external product communications — authoring updates, newsletters, and release notes that keep clients informed on product evolution.
• Build internal enablement programs — training consulting and engagement teams on product nuances, interpretation, and effective client storytelling.
• Drive operational excellence by standardizing processes, introducing automation, and strengthening governance to reduce risk and improve throughput.
• Build structured documentation, onboarding frameworks, and knowledge repositories that ensure product continuity and reduce single-point-of-failure risk.

• Author detailed user stories, acceptance criteria, and feature specifications for capabilities such as safety stock threshold configuration, order-at-risk dashboards, and AI-assisted stock transfer recommendations.
• Translate ambiguous customer requirements into structured, engineering-ready backlog items with clear scope boundaries.
• Own sprint-level backlog grooming in collaboration with the engineering manager, ensuring tickets are well-defined and prioritized before each cycle.
• Conduct structured discovery sessions independently with supply chain planners, procurement leads, and operations teams.
• Synthesize raw customer feedback, field notes, and survey data into prioritized problem statements and product hypotheses.
• Maintain a continuous feedback loop with pilot customers during early rollouts, identifying adoption gaps and surfacing them as actionable product improvements.
• Own integration requirement specifications — defining how data from ERP systems (SAP, Oracle), warehouse management systems, and demand planning tools flows into FourKites via flat-file SFTP, API, and EDI.
• Work with Solutions Engineering to validate integration feasibility, data freshness requirements, and schema mapping during pre-sales and onboarding.
• Identify and escalate data quality risks that could compromise dashboard accuracy during early customer deployments.
• Partner closely with engineering, design, and Solutions Engineering throughout the feature lifecycle — from discovery through general availability.
• Coordinate with Customer Success during pilot rollouts to ensure smooth adoption and capture post-launch learnings.
• Support pre-sales activities by providing product clarity on capabilities, integration requirements, and roadmap direction.

Product Manager, Inventory & Orders

• Define and manage the AI product roadmap for AR capabilities: cash application automation, deductions management, credit risk scoring, collections prioritization, and dispute resolution.
• Translate AR business requirements into AI architectures, orchestration frameworks, and product features that deliver measurable outcomes (DSO reduction, auto-match rate improvement).
• Design Generative AI solutions using state-of-the-art models (GPT-4o, Claude, Llama 3) for AR-specific tasks: automated remittance parsing, dispute email generation, and intelligent customer communication.
• Architect Agentic AI workflows for autonomous AR operations: cash matching agents, dispute classification agents, and collections prioritization agents using LangChain, AutoGen, and CrewAI.
• Guide data science and ML engineering teams in building, fine-tuning, and deploying LLMs and ML models for AR use cases: payment prediction, credit risk scoring, and anomaly detection.
• Architect scalable AI pipelines on cloud platforms (AWS, Azure, GCP); drive adoption of LLM orchestration stacks and MLOps practices for production AR AI systems.
• Collaborate with client Finance technology teams and AR operations leads to identify AI-driven automation opportunities and co-define solution requirements.
• Write detailed Product Requirement Documents (PRDs), user stories, and acceptance criteria for AI-powered AR features; manage and prioritize the product backlog.

Product Manager, F&A

• Own the Backlog: Lead the prioritization of the LA platform backlog, ensuring every development hour is spent on initiatives that deliver maximum business value and operational stability.
• Stakeholder Alignment: Act as the central point of contact for stakeholders across the UK and Germany, navigating competing priorities and building consensus on the product roadmap.
• Capacity Management: Make disciplined, data-driven decisions on how to allocate limited engineering capacity, balancing "must-have" compliance/legal items against business enhancements.
• Technical Deep-Dives: Roll up your sleeves to understand the intricacies of an aging but vital mainframe system, translating complex business requirements into technical priorities for the engineering team.
• Scrutinise & Validate: Critically evaluate all incoming requests—including mandatory legal and compliance items—to validate their impact, necessity, and value before commitment.
• Drive Pragmatic Innovation: Identify opportunities to optimize current processes within technical constraints, focusing on outcomes and efficiency over mere activity.
• Modernization Roadmap: Play a pivotal role in the long-term strategy to decommission the legacy platform, supporting data migration and the transition of services to modernized systems.
• Cross-Functional Collaboration: Work closely with other product teams to ensure the LA platform integrates seamlessly with newer front-end and middle-tier services.

Product Manager – LA Receivables

• Lead product definition and roadmap development for Abnormal's external integration platform, covering REST API capabilities, SIEM and SOAR connectors, and API lifecycle management (token management, versioning, schema governance).
• Drive Abnormal toward an API-first product model where customers can rely on a consistent, well-documented REST API to perform any action available in the portal.
• Drive adoption and reliability of Abnormal's integrations across major security platforms (e.g., Splunk, Microsoft Sentinel, Google SecOps, CrowdStrike)
• Own the roadmap for emerging AI-native integrations, including Abnormal's MCP Server
• Partner across the Platform Features teams on adjacent areas like notifications, user settings, and product configuration
• Collaborate closely with engineering, sales, and customer success to translate customer escalations and field feedback into well-scoped requirements.
• Leverage AI tools daily for efficiency, clarity, and informed decision-making, and prototype ideas rapidly to generate fast feedback loops.

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