Director, Software Engineering(AI/ML)

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

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Sales Cloud is the #1 AI CRM platform worldwide, empowering sales teams and driving revenue growth for over 100,000 customers across every industry, region, and segment. We are proud of our outstanding track record, having been recognized as a leader in the Gartner Magic Quadrant for 18 consecutive years.

Join our dynamic Sales Cloud Engineering team at Salesforce and make a real impact with your work! We’re looking for passionate individuals who want to shape the future of our products and deliver exceptional data and AI driven experiences to our customers. Come be a part of our innovative and collaborative environment, where your skills will thrive and your ideas will be valued. Apply now and let’s build something extraordinary together!

We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive.

Your Impact:

Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology in AI and striving for the best quality and throughput.

As part of this role, you will:

• Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer

• Make critical decisions that attribute to the success of the product

• Proactive in foreseeing issues and resolving it before it happens

• Daily management of stand-ups as the Scrum Master for engineering teams

• Partner with Product Managers to align with objectives, priorities, tradeoffs, and risk

• Ensuring teams have clear priorities and adequate resources

• Empowering the delivery team to self coordinate

• Be a multiplier and have a passion for team and team members’ success

• Providing technical guidance, career development, and mentoring to team members

• Maintaining high morale and motivating the delivery team to go above and beyond

• Vocally advocating for technical excellence and helping the teams make good decisions

• Participating in architecture discussions and planning

• Participating in multi-functional coordination, planning, and reviews with leads from other engineering teams

• Maintaining and encouraging our culture by interviewing and hiring only the most qualified individuals

• Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp

• Develop test strategies, design automation frameworks, and write unit/functional tests for AI/ML systems.

Minimum Requirements

• Min 15+ years of Software Engineering experience with 5+ years of proven track record leading sizeable teams with a distinguished track record on technically fast paced projects

• Exposure to the ML lifecycle, including model training, deployment, and inferencing.

• Familiarity with safe AI/ML rollout methodologies.

• Proficiency in at least one high-level programming language (Python, Go, etc.).

• Ability to design and contribute to complex, high-performance systems that support AI workloads.

• Strong verbal and written communication skills, organizational and time management skills

• Ability to be flexible, proactive, comfortable working with minimal specifications

• Experience with short release cycles, the full software lifecycle, and experience working on a product that’s been released for public consumption

• Experience in hiring, mentoring and leading engineers

• Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations

• Experience with Agile development methodologies. Scrum Master experience required

• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs

Preferred Requirements

• Exposure to Generative AI, particularly with RAG systems and Agentic workflows.

• Eagerness to learn and grow in a fast-paced environment.

• Strong knowledge of Salesforce product and platform features, capabilities, and best use of it

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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.