Product Owner, Applied Sales Technologies

At IBM Finance & Operations, we are the backbone of IBM's transformation driving efficiency, transparency, and smart decision-making across the business. Our teams provide the insight and discipline that guide strategy, ensure financial strength, and enable IBM to invest in innovation and growth. Working in Finance & Operations means combining analytical skills with collaboration and curiosity. You'll partner with colleagues across functions and geographies, using data, technology, and process excellence to create solutions that improve performance and deliver measurable impact. IBM offers continuous learning, career development, and a culture that values diverse perspectives. Join us and be part of a global team that keeps IBM moving forward, while building your own future in a dynamic and evolving environment. The Principal Product Manager works independently to lead non-routine, complex product development activities across our Go-To-Market (GTM) technology landscape, applying creative solutions to enhance our capabilities. While our core teams focus directly on Salesforce workflows, this role oversees critical tangential technologies: including source-aligned data products, partner-facing APIs, and emerging AI tools. They mentor and provide guidance to new team members while ensuring successful, cross-functional project execution. Responsibilities: Own the source-aligned Dataverse data product for Salesforce in Snowflake, serving as a subject matter expert to ensure compliance for data access, manage downstream aggregates, and maintain data integrity. Drive the product roadmap for APIs that support the Distributor Partner Led Growth initiative, enabling external partners to act autonomously outside of internal Red Hat systems. Partner directly with the Data & AI team on specialized initiatives, such as the context-aware Sales Assistant embedded within Red Hat Sales Cloud. Serve as a key contributor to the Internal AI Factory program to help define repeatable processes for designing, building, and deploying new AI capabilities. Work closely with architecture and delivery teams to facilitate rapid prototyping for agentic business lifecycles and other advanced technology deployments. Collaborate closely with peer Product Managers across the core Salesforce GTM domains (Quote to Order, Campaign to Quote, etc.) to ensure seamless technical and functional integration between tangential capabilities and core CRM workflows. Establish and track key performance indicators (KPIs) to measure the success, adoption, and business impact of data, API, and AI product launches. Lead the development of complex product features and manage product lifecycles from ideation through general availability. Coordinate with engineering, marketing, and sales teams to guide product releases and drive consensus across product teams. Serve as the main point of contact for stakeholders, managing customer/partner relationships, gathering feedback, and translating needs into actionable technical requirements. Mentor junior team members, delegate strategically, and provide expertise on product management best practices. Conduct in-depth competitive analysis and manage strategic product positioning. Ensure product roadmaps align to long-term corporate business strategy. Drive team alignment, engagement, and support across the product development lifecycle. Previous experience working with an IT delivery team in an agile environment. Ability to effectively manage and challenge multiple stakeholders with competing priorities. Excellent leadership & communication skills, with ability to engage a diverse set of stakeholders and drive accountability within the team. Strategic orientation and business vision acumen to position roadmap and execute against it to meet deadlines. Exceptional written and verbal communication skills allowing you to effectively present your business vision to stakeholders. Innovative and analytical problem-solving skills with close attention to detail. Demonstrated experience managing data products (e.g., Snowflake) and a strong functional understanding of API-led integrations and partner ecosystems. Familiarity with conversational AI tools, such as Workato Genie, to support workflows like quote creation and opportunity management. Proven ability to execute rapid AI prototyping safely and effectively within broader enterprise and sales technology ecosystems.

• Agile Methodologies Knowledge: Experience with Agile principles and practices, such as Scrum, to effectively manage Product Backlogs and collaborate with Iteration Managers/Scrum Masters and Development Teams.
• Product Development Insight: Experience in understanding product development processes to make informed decisions about priorities and backlog management.
• Cross-Functional Collaboration: Experience working with various stakeholders, including Clients, to drive shared understanding and progress.