Sr. Director, IT Product Management – Post Sales and Partner Technology

Role Overview Own the end-to-end technology strategy and roadmap for the Partner, Customer success, Professional Services and Customer Support organizations, translating business objectives into scalable, AI-native platforms. Lead a small team of Product Managers while staying hands-on across solutioning, architecture, and delivery. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Key Responsibilities Partner Technology - Own the Partner Center technology roadmap spanning cloud provider integrations, partner attribution & telemetry, and incentive/MDF management - Drive build-vs-buy decisions for the Partner platform in direct partnership with Partner leadership - Deliver solutions that support the full partner lifecycle: onboarding, co-sell, information sharing, support, progress tracking, and program management across Resellers, Technology Partners, ISVs, and Cloud Marketplaces - Align partner technology with Sales, Partner Ops, and Partner Specialist workflows Customer Success Technology - Own the Customer Success technology stack supporting CSMs across the full customer lifecycle: onboarding, adoption, expansion, and renewal - Partner with Customer Success leadership to translate business objectives into scalable tooling and automation - Enable CSM productivity through health score visibility, account intelligence, and proactive risk alerting - Ensure tight integration between Customer Success platforms and Sales, Support, Billing, and Product systems - Drive adoption of AI-assisted workflows for CSMs including next-best-action recommendations, sentiment signals, and churn risk indicators Customer Support Technology - Own the Customer Support technology stack to enable customer support team with right tooling, including AI/agentic infrastructure, ETL/data pipelines, Workforce Management, and customer engagement tooling (chat, voice, workflow automation) - Partner with Technical Support, Customer Success, and Professional Services to align technology investments with operational goals - Ensure integration with Sales, Customer Success, Billing, and Product systems through standardized APIs and data models - Maintain high availability, security, and compliance across all support platforms AI & Automation - Define and execute a multi-year AI roadmap for Partner ecosystem and Customer Support, encompassing: - Suggested responses and knowledge article generation - Case summarization and sentiment detection - Next-best-action recommendations and predictive case routing - Autonomous AI agents and copilots embedded in support workflows - Architect scalable conversational AI platforms across chat, voice, and digital channels - Establish frameworks to measure AI containment rates, hallucination risk, escalation patterns, and customer trust - Lead the transition from reactive case management to predictive, proactive support - Establish governance for responsible, secure, and explainable AI deployment - Transform support data into a strategic asset that informs Product and business decisions Delivery & Governance - Drive governance and prioritization across a high-volume requirements backlog, managing stakeholder expectations, resource constraints, and phased delivery commitments - Lead by influence across cross-functional teams including Sales AEs, SAs, CSMs, Partner Ops, and engineering - Upskill support agents and managers in AI collaboration; partner with HR and Enablement to redefine roles in an AI-native organization Requirements Experience - 15+ years in enterprise IT or technical product management - Proven experience with PRM/CRM ecosystems and complex enterprise integrations - Prior experience building and managing partner platforms across the full partner lifecycle - Hands-on familiarity with agentic AI platforms, LLM orchestration, and MCP-based tool integrations Leadership & Delivery - Track record of leading cross-functional IT delivery across multiple concurrent workstreams under resource constraints - Demonstrated hands-on product management: prototyping, writing requirements, running discovery, and partnering directly with engineering - Experience owning and driving build-vs-buy decisions with business and finance stakeholders to conclusion - Strong executive communication skills; able to present defensible technology recommendations to CIO and CCO-level leadership About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud dat

Experience\n- 15+ years in enterprise IT or technical product management\n- Proven experience with PRM/CRM ecosystems and complex enterprise integrations\n- Prior experience building and managing partner platforms across the full partner lifecycle\n- Hands-on familiarity with agentic AI platforms, LLM orchestration, and MCP-based tool integrations\n\nLeadership & Delivery\n- Track record of leading cross-functional IT delivery across multiple concurrent workstreams under resource constraints\n- Demonstrated hands-on product management: prototyping, writing requirements, running discovery, and partnering directly with engineering\n- Experience owning and driving build-vs-buy decisions with business and finance stakeholders to conclusion\n- Strong executive communication skills; able to present defensible technology recommendations to CIO and CCO-level leadership

Partner Technology: Own the Partner Center technology roadmap spanning cloud provider integrations, partner attribution & telemetry, and incentive/MDF management; Drive build-vs-buy decisions for the Partner platform in direct partnership with Partner leadership; Deliver solutions that support the full partner lifecycle: onboarding, co-sell, information sharing, support, progress tracking, and program management across Resellers, Technology Partners, ISVs, and Cloud Marketplaces; Align partner technology with Sales, Partner Ops, and Partner Specialist workflows.\n\nCustomer Success Technology: Own the Customer Success technology stack supporting CSMs across the full customer lifecycle: onboarding, adoption, expansion, and renewal; Partner with Customer Success leadership to translate business objectives into scalable tooling and automation; Enable CSM productivity through health score visibility, account intelligence, and proactive risk alerting; Ensure tight integration between Customer Success platforms and Sales, Support, Billing, and Product systems; Drive adoption of AI-assisted workflows for CSMs including next-best-action recommendations, sentiment signals, and churn risk indicators.\n\nCustomer Support Technology: Own the Customer Support technology stack to enable customer support team with right tooling, including AI/agentic infrastructure, ETL/data pipelines, Workforce Management, and customer engagement tooling (chat, voice, workflow automation); Partner with Technical Support, Customer Success, and Professional Services to align technology investments with operational goals; Ensure integration with Sales, Customer Success, Billing, and Product systems through standardized APIs and data models; Maintain high availability, security, and compliance across all support platforms.\n\nAI & Automation: Define and execute a multi-year AI roadmap for Partner ecosystem and Customer Support, encompassing: suggested responses and knowledge article generation; case summarization and sentiment detection; next-best-action recommendations and predictive case routing; autonomous AI agents and copilots embedded in support workflows; Architect scalable conversational AI platforms across chat, voice, and digital channels; Establish frameworks to measure AI containment rates, hallucination risk, escalation patterns, and customer trust; Lead the transition from reactive case management to predictive, proactive support; Establish governance for responsible, secure, and explainable AI deployment; Transform support data into a strategic asset that informs Product and business decisions.\n\nDelivery & Governance: Drive governance and prioritization across a high-volume requirements backlog, managing stakeholder expectations, resource constraints, and phased delivery commitments; Lead by influence across cross-functional teams including Sales AEs, SAs, CSMs, Partner Ops, and engineering; Upskill support agents and managers in AI collaboration; partner with HR and Enablement to redefine roles in an AI-native organization.