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Senior Manager, GTM Systems Delivery

MNTN - Remote - Remote - posted 2026-10-01

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MNTN is seeking a Senior Manager of GTM Systems Delivery to lead a multidisciplinary team responsible for delivering high-priority changes across Salesforce and the connected GTM technology stack. This is a technical people leadership role reporting to the Head of Revenue Operations & Systems. You will own the expedited GTM systems delivery lane from intake and scoping through solution design, build, testing, launch, enablement, and stabilization. You'll lead and develop a team spanning business analysis, Salesforce and business systems engineering, and systems enablement. While you won't be the primary builder, you'll bring sufficient technical depth to evaluate solutions, challenge estimates, troubleshoot issues, and maintain high quality standards. Key responsibilities include: - Own the expedited GTM systems delivery portfolio with clear intake, prioritization, capacity, scope, dependencies, risks, owners, and delivery plans - Lead and develop a multidisciplinary systems team, setting clear ownership, performance expectations, technical standards, and growth plans - Turn executive and revenue priorities into focused two-to-four-week delivery cycles with clear outcomes and definitions of done - Manage capacity across urgent initiatives, service requests, and planned work; set service levels and surface tradeoffs early - Partner with RevOps leads on business priorities while your team owns solution design and delivery - Work with the Foundation team and Salesforce Architect to follow platform standards and limit unnecessary customization - Guide revenue-related AI requests to appropriate solutions and coordinate dependencies with AI Engineering, Business Analytics Engineering, and Platform/Data Engineering - Use cycle time, aging, rework, deployment success, production defects, integration reliability, adoption, and stakeholder outcomes to drive continuous improvement Success metrics include independently owning the expedited GTM systems portfolio, establishing clear roles and operating expectations for the team, leading at least one priority initiative through full delivery lifecycle with clear business acceptance and no critical production issues, building effective technical partnerships with the Foundation team and Salesforce Architect, and establishing trust with stakeholders through transparent communication and early escalation. QUALIFICATIONS: - 7+ years of experience across Salesforce, Business Systems, GTM Technology, or enterprise applications, including 2+ years leading Salesforce, business systems, or multidisciplinary technical delivery teams - Current Salesforce Administrator or Platform App Builder certification, plus recent hands-on experience with Salesforce configuration and development (Platform Developer or architect-level experience is a strong plus) - Experience leading high-priority, cross-functional work across Salesforce and connected GTM tools in a fast-moving Revenue organization - Strong technical knowledge of Salesforce Flow, data models, security and permissions, APIs, integrations, environments, testing, deployments, and common failure points across connected systems; working knowledge of Apex and Lightning Web Components - Strong track record across intake, prioritization, capacity planning, requirements, UAT, release readiness, adoption, and post-launch stabilization - Ability to align senior leaders, translate technical constraints clearly, and keep scope, decisions, and ownership clear across cross-functional initiatives - Experience developing technical talent, delegating effectively, and creating accountability without becoming the team's primary builder; sound judgment around urgency, scope, and platform tradeoffs Nice to have: Experience with product operations, Shape Up, or similar appetite-based planning methods; experience with Salesforce delivery tools, Jira, source control, release management, and CI/CD practices; familiarity with AI-assisted development and operations, agentic workflows, and governance for revenue-facing AI use cases.

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