Sr. Director, Responsible AI Science and Engineering

Reposted Yesterday
Be an Early Applicant
4 Locations
In-Office
218K-401K Annually
Senior level
Cloud • Software
If you’re ready to build your future — and the future of technology — then you’re in the right place.
The Role
Lead Responsible AI technical strategy and build scalable, automated evaluation and RAI systems. Own architecture, metrics, and research foundations; partner cross-functionally; manage and mentor a team of data scientists, researchers, and engineers to operationalize adversarial testing, LLM-based evaluation, and defenses against bias and hallucination.
Summary Generated by Built In

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

Data

Job 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's Office of Ethical and Humane Use seeks a Sr. Director of Science and Engineering to lead our Responsible AI efforts in technical testing, evaluation, data science, and engineering. This is a senior technical leadership role tasked with transforming our RAI practice from manual expert reviews to operating scalable, AI-powered automated systems. You will own the technical architecture, scientific rationale, and operational scaling of our RAI systems, ensuring "trustworthy by default" standards across the enterprise.

What You Will Own

As the ultimate technical owner, you lead a team of technical Responsible AI experts (data science, research science, engineering) through a critical transformation:

  • Define the Technical North Star: Develop the 18-24 month roadmap for moving from manual ethics test reviews to automated, AI-powered testing.

  • Architect Production Systems: Build robust infrastructure (e.g., automated intake pipelines, LLM-judge patterns, LLM Council approaches) that can handle Salesforce-scale traffic.

  • Set Scientific Rigor: Establish the research foundations, evaluation metrics, and technical logic for how we test and align AI systems.

  • Influence Cross-Functional Strategy: Partner with technical and product teams to embed RAI into the development lifecycle across business units.

  • People Leadership: Act as a "player-coach," providing technical mentorship, managing performance, and unblocking complex challenges in study design, data analysis, and software engineering.

Who You Are

Technical Foundation (Required):

  • Technical Depth: 10+ years in software engineering and/or AI research, with a proven ability to build production-scale systems. Hands-on proficiency in Python, SQL, CI/CD pipelines, and AI powered coding tools (e.g., Claude Code, Cursor). Relevant applied knowledge of Data Science.

  • AI Systems & Architecture: Experience building LLM-powered systems (agent frameworks, RAG, multi-model orchestration) and deep knowledge of modern AI architectures.

  • Responsible AI Expertise: Proven track record in evaluation science, adversarial testing (red teaming), and designing systematic defenses against bias, hallucination, and other RAI risks.

  • A related technical degree required.

Strategic & Leadership Excellence:

  • Senior Management: 5+ years managing technical teams (engineers, researchers, data scientists). Strong performance management and operational excellence.

  • Executive Influence: Demonstrated ability to translate complex technical/ethical narratives into strategic business goals for executive stakeholders.

  • Ambiguity Management: Comfort charting direction in high-ambiguity environments, using data to make pragmatic tradeoffs between ambition and deliverability.

Why This Matters

  • Industry Impact: You will influence how the entire tech industry approaches responsible agentic AI, setting patterns and frameworks that may become standards.

  • Technical Innovation: You will operate at the frontier of agentic AI safety, combining cutting-edge capabilities like LLM-judges, mechanistic interpretability, run-time protections, and adversarial red teaming with rigorous evaluation science.

  • High-Visibility Transformation: You are leading a career-defining shift in how a major enterprise practices ethics, with the mandate, resources, and executive support to succeed.

In office expectations are 36 days/a quarter to support customers and/or collaborate with their teams.

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.

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.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Skills Required

  • 10+ years in software engineering and/or AI research with production-scale systems experience
  • Hands-on proficiency in Python
  • Hands-on proficiency in SQL
  • Experience with CI/CD pipelines
  • Experience with AI-powered coding tools (e.g., Claude Code, Cursor)
  • Relevant applied knowledge of Data Science
  • Experience building LLM-powered systems (agent frameworks, RAG, multi-model orchestration)
  • Proven track record in evaluation science, adversarial testing (red teaming), and designing defenses against bias and hallucination
  • A related technical degree
  • 5+ years managing technical teams (engineers, researchers, data scientists)
  • Demonstrated executive influence and ability to translate technical/ethical narratives for executive stakeholders
  • Ability to operate in high-ambiguity environments and make data-driven tradeoffs

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: San Francisco, CA
72,000 Employees

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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