Staff Technical Program Manager, Growth

Salesforce•Atlanta, GA

About The Position

Salesforce is seeking a Staff Technical Program Manager to lead programs for Slack’s Growth pillar, which owns the self-serve revenue funnel and runs experiments to drive annual contract value. The role brings structure to strategy, operations, execution, and scope across a fast-moving product area, while aligning and accelerating teams. The TPM partners with engineering, design, product management, Data Science, Business Operations, marketing, and senior leaders, and represents Product and Engineering as a technical subject-matter expert in cross-functional discussions. The role requires understanding software architecture and the product end to end, turning cross-functional complexity into decisions, and staying accountable for delivery and results. The TPM shapes strategy and planning, manages the experiment portfolio, and drives product initiatives including global expansion and Slackbot-infused improvements to onboarding and invites. The role also develops operational strategies, tools, and processes—including AI-assisted mechanisms—to improve collaboration, execution, reporting, and risk management. The position calls for technical depth, data-driven judgment, comfort with ambiguity, and the ability to build trusting relationships and influence stakeholders.

Requirements

8+ years across Technical Program Management, engineering, and/or growth roles, including leading end-to-end technical programs within dynamic product or engineering organizations.
Bachelor’s degree in Computer Science or Engineering, or equivalent practical technical experience.
Applied experience with Agile and Lean product development practices.
Technical grounding to converse credibly with engineers, scope technical projects, and identify architectural risks.
Proven ability to use quantitative metrics and signals to prioritize work, measure impact, assess risk, and document decisions.
Proven ability to establish structure, define workflows, and drive momentum when strategy and scope are fluid.
Experience leading complex programs that bring together multidisciplinary teams with differing workflows and competing priorities.
Direct experience supporting enterprise deals, including executive briefings and customer-facing communication.
Ability to build tools that replace manual work, such as scripts, SQL dashboards, AI agents and skills, or contributions to internal repositories, and demonstrate them.
Ability to evaluate AI output for quality and data handling.
Ability to decide when to perform work manually and when to automate, and to break ambiguous tasks into milestones with explicit accuracy bars and deferrals.

Responsibilities

Partner strategically with senior product, design, and engineering leaders, and build productive, trusting relationships with peers and stakeholders.
Run the experiment portfolio, including velocity reporting, collision checks, launch tracking, and quality.
Partner with Data Science and Business Operations to improve the experiment process.
Drive feature programs, including global expansion and Slackbot-infused initiatives to improve onboarding and invites.
Own quarterly and monthly planning exercises and processes, including executive reviews and roadmap alignment across marketing, product, design, and engineering.
Become a domain expert, explain engineering systems and process flows, recognize dependencies, and anticipate and mitigate risks.
Understand the product end to end and identify dependencies and gaps; recommend implementations with clear evaluation criteria.
Understand customer needs, engineering work, and technical architecture beyond the orchestration layer.
Develop an informed point of view on the product and roadmap, grounded in business drivers and metrics, and influence strategy early.
Translate high-level goals into a logical set of projects.
Develop, roll out, and improve operational strategies, tools, and processes, such as weekly business reviews, impact-metric views with Data Science, and executive alignment.
Challenge conventional practices and build scalable agentic mechanisms, such as AI-assisted tracking, automated status updates, and risk reporting.
Build and maintain timelines, project plans, and communication artifacts so teams have accurate, current information.
Proactively manage program fundamentals, including schedules, risks, communications, and mitigation strategies.
Track end-to-end projects against committed dates and release schedules.
Mentor other Technical Program Managers and share tools, skills, and practices that others adopt.
Build tools that replace manual work, evaluate AI output for quality and data handling, and demonstrate those tools.
Use quantitative metrics and signals to prioritize work, measure impact, assess risk, and document decisions for organizational reuse.
Establish structure, define workflows, and drive momentum when strategy and scope are fluid; break ambiguous work into milestones with explicit accuracy bars and deferrals.
Lead complex programs across multidisciplinary teams with differing workflows and competing priorities.
Support enterprise deals, including executive briefings and customer-facing communication.
Identify operational bottlenecks and deliver process and automation improvements.