Senior Director, GTM AI Product Leader

Thomson Reuters•Frisco, TX

1d•$157,500 - $337,000•Hybrid

About The Position

The Senior Director will own the AI roadmap and strategy for the go-to-market organization, spanning Sales, Customer Success, Professional Services, and Partnerships. The role partners with business segments and Revenue Operations to identify where AI can create value across the customer lifecycle, then works with Engineering to deliver solutions through a deliberate mix of SaaS platforms and custom-built products. The role defines problems to solve, prioritizes opportunities, and measures adoption and business impact. It is accountable for integrating AI into how the organization sells, onboards, delivers, retains, and grows customer and partner relationships. The leader will establish a multi-year vision and quarterly roadmap, set build-versus-buy principles, govern the GTM tool landscape, and lead discovery, prototyping, pilots, and scaled implementations. The position drives adoption and value realization with Revenue Operations, enablement, and functional leaders; establishes KPI and ROI reporting; and works with Legal, Security, Privacy, IT, and Data and Analytics on responsible AI, data quality, governance, and trust. It also builds and leads a team of product managers and business analysts, influences matrixed Engineering, Data, and GTM Operations partners, and represents GTM AI to executives, vendors, analysts, and peer companies.

Requirements

12 or more years of experience in product management, GTM operations or strategy, sales or revenue technology, or related roles.
At least 5 years of experience leading teams.
Demonstrated success owning a technology roadmap serving revenue-generating teams, ideally across more than one of Sales, Customer Success, Professional Services, and Partnerships.
Deep working knowledge of the GTM technology stack, including Salesforce and conversation intelligence tools such as Gong, and how data flows between systems.
Hands-on experience delivering AI/ML or generative AI solutions into production.
Practical understanding of LLMs, agents, retrieval, prompt and workflow design, evaluation, and cost management.
Strong build-versus-buy judgment and vendor management experience, with comfort building business cases.
Proven ability to drive change and adoption among frontline revenue teams and senior business leaders.
Excellent executive communication skills and ability to translate between technical teams and business stakeholders.
Analytical rigor and a bias toward measurable outcomes.

Nice To Haves

Prior experience as a sales, customer success, or services practitioner or leader, or in a hybrid GTM and product role.
Experience with Salesforce platform capabilities, including Sales Cloud, Service Cloud, Agentforce or equivalent AI features, data cloud or warehouse integrations, and Gong or similar conversation intelligence tools.
Experience in a B2B, enterprise, or professional-services-oriented environment with long sales cycles and complex account structures.
Familiarity with partner ecosystems, co-sell motions, and channel programs.
Experience establishing AI governance and responsible-AI practices.

Responsibilities

Define and own a multi-year AI vision and quarterly roadmap for Sales, Customer Success, Professional Services, and Partnerships.
Identify, size, and prioritize AI use cases based on revenue impact, productivity gains, cost to serve, and feasibility.
Establish build-versus-buy-versus-configure principles and make transparent decisions supported by business cases and total cost of ownership.
Align the GTM AI roadmap with company strategy, revenue targets, and enterprise AI and data strategy.
Rationalize and govern overlapping tools to prevent AI sprawl across the GTM organization.
Lead discovery, prototyping, pilots, and scale-up with clear success criteria and stage gates.
Develop AI applications across Sales, Customer Success, Professional Services, and Partnerships.
Design cross-functional workflows connecting customer lifecycle stages, including sales handoffs, onboarding, delivery, and renewal.
Drive adoption with Revenue Operations, enablement, and functional leaders through training, playbooks, and incentives.
Define and report KPIs for usage, productivity, pipeline and win rate, forecast accuracy, retention and expansion, services margin, and partner-sourced revenue.
Quantify ROI and report outcomes regularly to executive leadership.
Work with Legal, Security, Privacy, and IT to establish AI guardrails for customer and partner data, including access controls, data residency, model usage policies, and auditability.
Ensure AI outputs are trustworthy and that humans remain appropriately involved in high-stakes decisions.
Partner with Data and Analytics on data quality, definitions, and a shared source of truth.
Build and lead a team of product managers and business analysts, while influencing matrixed Engineering, Data, and GTM Operations partners.
Establish intake, prioritization, and governance processes that enable GTM leaders to jointly steer the roadmap.
Represent GTM AI at the executive level internally and externally, including with vendors, analysts, and peer companies.

Benefits

Flexible hybrid work environment for office-based roles.
Work from anywhere for up to 8 weeks per year.
Flexible vacation and paid time off.
Two company-wide Mental Health Days off annually.
Access to the Headspace app and Employee Assistance Program.
Retirement savings plan with company match.
Tuition reimbursement.
Employee incentive programs and possible annual bonus based on enterprise and individual performance.
Comprehensive health, dental, vision, disability, and life insurance.
Paid holidays, sick and safe paid time off, parental leave, and sabbatical leave.
Flexible Spending and Health Savings Accounts.
Fitness reimbursement.
Commuter benefits.
Adoption and surrogacy assistance.
Employee Stock Purchase Plan.
Two paid volunteer days off annually and opportunities for pro-bono consulting and ESG initiatives.
Resources for mental, physical, and financial wellbeing.