Director of Software Engineering - Public Cloud Platform

Software Engineering - Director

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Job Category

Software Engineering

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 is looking for a technically strong, highly collaborative, and forward-thinking Software Engineering Leader to lead engineering teams building trusted, scalable, and customer-impacting products.

This role carries three core responsibilities: People Leadership, Process Leadership, and Product Leadership.

As a leader of leaders, you will build high-performing engineering teams, guide product and architectural decisions, and shape how modern engineering teams operate in an AI-augmented development environment. You will bring deep technical judgment, strong product intuition, and the ability to help engineers move beyond execution into higher-order system design, architecture, and customer impact.

You will partner closely with Product Management, Architecture, and cross-functional engineering teams to deliver high-quality features at speed, while protecting architectural integrity, security, reliability, and engineering excellence.

Your Impact

People Leadership

• Lead, mentor, and develop engineering managers, engineers, and architects across one or more product areas.

• Build teams that are technically strong, customer-aware, inclusive, and accountable for outcomes.

• Coach engineers to work effectively in an AI-augmented environment, using AI to accelerate execution while growing deeper judgment in design, architecture, and problem solving.

• Hire and develop future-ready engineering talent with strong fundamentals, product ownership, and AI fluency.

• Maintain high morale, create clarity, and build a culture where learning, feedback, and technical excellence are expected.

Process Leadership

• Own how AI tools are integrated into the team’s software development lifecycle, including coding, testing, documentation, reviews, debugging, and operational workflows.

• Establish clear practices for when AI-generated output can accelerate work and when human review is required.

• Drive disciplined execution across planning, delivery, release readiness, quality, security, and operational excellence.

• Improve team productivity without compromising trust, maintainability, compliance, or customer outcomes.

• Ensure teams have clear priorities, strong operating rhythms, and the right mechanisms to identify and resolve risks early.

Product Leadership

• Partner with Product Management and Architecture to align priorities, tradeoffs, risks, and customer outcomes.

• Make critical technical and product decisions that influence the success of the product.

• Participate actively in architecture discussions, design reviews, roadmap planning, and cross-functional execution.

• Serve as a guardian of architectural integrity as AI increases code velocity and system complexity.

• Ensure teams connect engineering decisions to customer value, business impact, and long-term platform health.

Minimum Requirements

• 7+ years of experience leading software engineering teams, including managers and senior technical talent.

• Proven experience delivering large-scale distributed systems, microservices, or enterprise-grade product platforms.

• Strong technical depth with the ability to evaluate architecture, design tradeoffs, code quality, system reliability, and operational readiness.

• Hands-on fluency with AI-assisted development tools and the ability to guide teams in their effective, responsible use.

• Experience building engineering practices around code reviews, CI/CD, testing, observability, release readiness, security, and production operations.

• Ability to assess AI-generated code or designs for logic flaws, security risks, performance issues, maintainability, and architectural fit.

• Experience hiring, mentoring, and evaluating engineers on both foundational engineering skills and AI-era capabilities such as prompting, AI output validation, and agentic workflow thinking.

• Strong communication skills with the ability to influence product, engineering, architecture, and executive stakeholders.

• Comfortable operating with ambiguity, minimal specifications, fast release cycles, and complex cross-functional dependencies.

• Experience with Agile development methodologies and modern product engineering practices.

Preferred Requirements

• Strong knowledge of Salesforce product and platform capabilities.

• Experience leading teams building customer-facing enterprise SaaS products.

• Ability to articulate the value of governance, trust, security, and architectural discipline to business and technical stakeholders.

• Strong understanding of enterprise architecture principles.

• Experience helping teams adopt AI tools responsibly across the SDLC.

• Ability to quickly understand and explain complex technical and business concepts.

• Deep curiosity for customer needs, product outcomes, and how engineering decisions create customer value.

• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role, including work experience, leadership experience, volunteer roles, military experience, and other relevant contributions.

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.

Experience Level

Executive Level