Senior Technical Program Lead, Growth & AI

Salesforce, Inc.

Atlanta (GA)

On-site

USD 171,000 - 273,000

Full time

7 days ago

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Job summary

Salesforce is seeking a Staff Technical Program Manager to run Growth pillar programs. You will partner with senior product, design, and engineering leaders, manage the experiment portfolio, and drive global expansion and Slackbot-infused initiatives to improve onboarding and invites.

You’ll own planning cycles, align roadmaps, and become a domain expert who translates high-level goals into concrete projects.

Qualifications

8+ years across Technical Program Management, engineering, and/or growth roles.
Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical technical experience.
Agile & Lean Mastery: Applied experience with Agile and Lean product development practices.
Mentorship: Raises the bar for other Technical Program Managers by mentoring them and by sharing tools, skills, and practices that others adopt.
Technical & AI Capabilities Builder & Automation: Has built tools that replaced their own manual work, such as scripts, SQL dashboards, AI agents and skills (e.g., Claude, Slackbot), or pull requests to internal repos, and can demo them.
Evaluates AI output for quality and data handling.
Prompt engineering is table stakes.
Technical Depth: Sufficient technical grounding to converse credibly with engineers, scope technical projects, and identify architectural risks.
Data-Driven Execution: Proven ability to use quantitative metrics and signals to prioritize work, measure impact, assess risk, and document decisions for organizational reuse.

Responsibilities

Be a strategic partner to senior product, design, and engineering leadership.
Become a strong influencer with credibility with peers and stakeholders, capable of building productive, trusting relationships with partners.
Run the experiment portfolio, inclusive of velocity reporting, collision checks, launch tracking, and quality.
Be a strategic partner with Data Science and Business Operations to improve the experiment process.
Drive feature programs such as global expansion and Slackbot-infused initiatives to improve onboarding and invites
Own quarterly and monthly planning exercises and process, including exec reviews and roadmap alignment between marketing and product, design, and engineering.
Quickly become a domain expert in your space with the ability to articulate how the engineering systems works, process flows, and can quickly recognize dependencies and anticipate and mitigate risks.
You understand the product end-to-end, identify dependencies and gaps, and recommend implementations with clear evaluation criteria.
Understand the product and problem space beyond the orchestration layer, including customer need, engineering work, and technical architecture.
Form your own point of view on the product and roadmap, grounded in the cross-functional team's business drivers and metrics, and influence strategy from the start
Transform 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 (in partnership with data science), and executive alignment.
Challenge conventional practice and go beyond the stated requirement, building new agentic mechanisms (e.g., AI-assisted tracking, automated status, and risk reporting) that scale operations
Build and maintain timelines, project plans, and communication artifacts to ensure everyone is operating from the most recent and accurate information
Run program fundamentals (schedule, risks, communications) proactively, with risks and mitigation strategies in place
Track end-to-end projects against the committed dates and release schedule