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Salesforce is seeking a Senior Director, Agentic Transformation Lead to spearhead the AI transformation within its internal engineering organization. This leadership role will focus on coordinating AI efforts, establishing standards for AI development, selecting and driving adoption of AI tools, and streamlining delivery processes. The goal is to transition the organization to an agentic speed, where AI handles much of the engineering work, allowing humans to focus on judgment calls. The ideal candidate will have extensive experience in engineering or transformation leadership, possess deep technical credibility, and be adept at driving change at scale through influence and clear outcomes rather than direct headcount management.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software EngineeringJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is moving toward a future where AI agents do the engineering work, and that change starts with how we build software for ourselves. This role leads the AI transformation of the organization that builds and runs Salesforce's internal, employee-facing technology - and in doing so, creates the playbook every CIO in our customer base will need next.
Every enterprise we're selling to will hit exactly what we're hitting right now. Pilots worked. Agents are ready. The factory floor wasn't built for them. If we solve this operationally - with receipts - we own the playbook no competitor can replicate. We solve it for ourselves. Then we sell it for a decade.
Most of our engineers already use AI tools every day. The job now is to turn that broad adoption into one coordinated, measurable effort: clear standards, consistent adoption, and productivity gains that are real and visible across the whole organization - running at agent speed, not human speed.
This is a senior leadership role that works largely through influence. You will partner across engineering, product, and design. Your impact comes from clarity, standards, and driving outcomes - not from managing a large headcount.
Coordinate the AI effort. Bring the many separate AI and engineering initiatives across teams into one coordinated program. Reduce duplication, scale what works, and give the work a single, clear direction.
Standards and quality. Own the standards for how teams build with AI, and the process for improving them. Define what good looks like, how work is reviewed, and how expectations rise as the tools mature. Refuse to accept output that doesn't work beautifully for the end user.
Tools and adoption. Choose the set of AI development tools the organization uses - Cursor, Claude, Agentforce, and what comes next - and define the level of adoption every team is expected to reach. Keep the organization current with the best tools available.
Delivery and release. Remove the deployment, testing, and process bottlenecks that hold back the productivity AI makes possible. Modernize the path from idea to production so teams can ship in weeks, not quarters.
Measurement. Measure how work moves from idea to production and how the tools are used. Build clear, role-specific measures so impact is comparable across the org. Track what matters - frequency of ideas tested, outcomes learned, adoption - and avoid metrics that look impressive but don't reflect real impact.
Builder progression. Define and drive the system that makes every build compoundingly faster than the last: shared context files, command libraries, three-model review workflows, and postmortem culture. The builders who win aren't the ones who use AI - they're the ones who've built the system around AI.
Roles and ways of working. Define how engineering, product, and design roles change as agents take on more of the work, and shape the broader way the organization operates around it - including how we move toward a headless model where agents run the work and humans make the judgment calls.
You ship, you don't just coordinate. You have a working prototype in your hands before you have a deck. When a decision takes more than 48 hours, you shrink the question, test it, and get the data.
Speed is your default operating mode. You think in agent speed, not quarterly planning cycles. When the build loop runs faster, the org's ability to learn and course-correct moves faster too.
Outcomes are the only score. Adoption and shipped value are what count. Roadmaps, status decks, and committee approvals don't impress you. Fast failure is data, not identity.
You own it. One empowered owner who makes fast decisions, works in the open, and knocks down anything that slows down learning. You make the teams around you better without needing a large team of your own.
You work in the open. Public channels, public demos. You assume someone has already worked on this problem - you find them and build with them, not around them.
You have strong product taste. You know what makes a tool genuinely intuitive and useful, and you refuse to ship things that don't look, feel, or work beautifully for the end user.
You've led at scale and built with your hands. You have 12+ years in engineering, product, or transformation leadership - and you can still sit down and build. Real technical credibility that earns the trust of senior engineers quickly, not just titles that imply it.
The tools are proven and adoption is already real. What is missing is the coordination that turns hundreds of separate efforts into one lasting change - running at agent speed, not human speed.
Twelve months from now, the best teams in this org won't be managing feature backlogs. They'll be running agentic systems that handle work autonomously - humans in the loop only for judgment calls.
That future doesn't happen on its own. It needs someone who can set the standard, build the system, and bring the whole organization with them. That's this role - and what we build here becomes the field guide for every enterprise customer asking "our pilots worked, now what?"
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
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In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.