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Customer SuccessJob 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.
Director, AI and InnovationAbout the RoleThe Director, AI and Innovation leads the strategy, development, and adoption of artificial intelligence and emerging technology initiatives across the organization. This role partners with business, technology, and delivery leaders to identify high-impact AI opportunities, build innovation pipelines, and drive measurable business value through responsible AI adoption.Key Responsibilities- Define and drive the AI and Innovation strategy in alignment with overall business objectives.
- Identify, evaluate, and prioritize AI/emerging tech use cases across the enterprise.
- Lead cross-functional teams to design, pilot, and scale AI-powered solutions.
- Partner with engineering, data science, and product teams to operationalize AI models responsibly.
- Establish governance frameworks for responsible and ethical AI use.
- Track industry trends and emerging technologies (Generative AI, Agentic AI, ML, automation) to inform roadmap decisions.
- Build and manage relationships with internal stakeholders and external partners/vendors.
- Present innovation roadmaps and business cases to executive leadership.
- Mentor and grow a team focused on innovation and applied AI delivery.
- Measure and report on ROI and adoption metrics for AI initiatives.
What You Will Do (Core Responsibilities)
1. Build and Own the Agent Ecosystem
- Design and build a set of AI agents (scoping, estimation, risk, etc.)
- Ensure they work together as a single system
- Continuously improve based on real deal and delivery data.
- Define how agents interact across the lifecycle
- Ensure smooth hand-offs between agents and humans
- Reduce manual steps and rework
- Convert scoping rules, estimation models, and governance policies into working tools
- Ensure outputs are consistent, accurate, and easy to use by the field
- Connect delivery data into centralized data source (e.g. Data Cloud)
- Track: Estimate vs actual and Margin vs plan
- Use this data to improve agents over time
- Build tools that automatically check estimates against standards
- Flag risks early
- Enforce approval rules
- Partner with consultants to understand real challenges
- Work with Global Delivery Centers (GDC) based team to build and scale solutions
- Ensure tools are practical and adopted globally
- Use latest platform capabilities (e.g. Agentforce, Data Cloud)
- Provide feedback to improve platform features
- Ensure internal tools stay aligned with product roadmap
- 15+ years of experience in technology strategy, innovation, or AI/ML delivery, with 5+ years in a leadership role.
- Strong understanding of AI/ML concepts, Generative AI, and enterprise technology architecture.
- Proven track record of leading cross-functional innovation programs.
- Excellent stakeholder management, communication, and executive presentation skills.
- Experience with change management and driving adoption of new technologies at scale.
Strategic And Technical Expertise And Experience
Hands on experience with Large Language Models, agentic frameworks, ML Ops, and traditional AI and ML.
- Proven history of delivering large programs in the AI space, including integration of operational systems, APIs, and batch/streaming pipelines.
- Deep understanding of AI system governance and security, including data privacy, model integrity, observability and cost management.
- Proficient in cloud technologies and enterprise-grade AI/ML platforms (e.g., AWS Sagemaker, Bedrock, Agentic, Anthropic, OpenAI, Azure ML, Databricks).
- Expertise in LLMs, including fine-tuning, RAG, prompt engineering, multi-agent collaboration, orchestration frameworks, and alignment techniques. Demonstrated experience leading the development of strategic technology direction and architecture vision for a large organization.
- Developed technology target states and roadmaps aligned with short- and long-term business goals.
- Expert-level software engineering experience.
- Partnerships with hyperscalars and technology vendors for right build vs. buy evaluations.
- Create a thriving AI culture within and across Salesforce through the AI Center of excellence
- Design, build, adoption, scale of AI capabilities to achieve target revenue impact
- Build a best-in-class marketplace & scale reusable solution components usage through better marketplace adoption across business units
- Expansion of organizational AI/ML capabilities and talent
- This role requires a unique blend of strategic vision, technical depth, and business insight to lead our organization in delivering next-generation marketing solutions powered by artificial intelligence.
- Experience with Salesforce, cloud platforms, or enterprise SaaS ecosystems.
- Familiarity with AI governance, responsible AI practices, and data privacy regulations.
- Background in consulting, delivery management, or product innovation.
- Builds, not just designs
- Thinks in systems and workflows, not isolated tools
- Comfortable working with both engineers and consultants / business teams
- Focused on solving real problems, not building “cool demos”
- Can simplify complexity and make tools easy to use
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
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Skills Required
- 15+ years of experience in technology strategy, innovation, or AI/ML delivery, with 5+ years in a leadership role
- Strong understanding of AI/ML concepts, Generative AI, and enterprise technology architecture
- Proven track record of leading cross-functional innovation programs
- Excellent stakeholder management, communication, and executive presentation skills
- Experience with change management and driving adoption of new technologies at scale
- Hands-on experience with Large Language Models, agentic frameworks, ML Ops, and traditional AI/ML
- Proven history of delivering large AI programs, integrating operational systems, APIs, and batch/streaming pipelines
- Deep understanding of AI system governance and security, including data privacy, model integrity, observability and cost management
- Proficient in cloud technologies and enterprise AI/ML platforms (AWS SageMaker, Bedrock, Agentic, Anthropic, OpenAI, Azure ML, Databricks)
- Expertise in LLM techniques: fine-tuning, RAG, prompt engineering, multi-agent collaboration, orchestration frameworks, alignment techniques
- Demonstrated experience defining technology direction and architecture vision for a large organization
- Expert-level software engineering experience
- Partnership experience with hyperscalers and technology vendors for build vs. buy decisions
- Experience with Salesforce, cloud platforms, or enterprise SaaS ecosystems
- Familiarity with AI governance, responsible AI practices, and data privacy regulations
- Background in consulting, delivery management, or product innovation
Salesforce Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.
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Fair & Transparent Compensation — Pay is positioned as above-market in the U.S., with multiple peer-reported benchmarks converging around a similar median total compensation figure. Compensation is also framed as broadly viewed as fair in aggregate, even while acknowledging variation by role and group.
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Parental & Family Support — Parental leave is described as notably generous for U.S. caregivers, with additional supports like gradual return-to-work and doula reimbursement. Family-building programs are also emphasized through fertility/adoption/surrogacy support with sizeable reimbursement limits.
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Wellbeing & Lifestyle Benefits — Mental-health and coaching offerings are highlighted as accessible supports alongside financial-wellbeing tools. Volunteer Time Off and donation matching are presented as distinctive lifestyle-aligned benefits that add value beyond cash compensation.
Salesforce Insights
What We Do
Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.
Why Work With Us
There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.
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