Senior Manager, Software Engineering

Job Description

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.

Sales Cloud is the #1 AI-powered CRM platform worldwide, empowering sales teams and driving revenue growth for more than 100,000 customers across industries, regions, and segments. With 18 consecutive years as a leader in the Gartner Magic Quadrant, we're proud of our track record of innovation and customer success.
Join our dynamic Sales Cloud Engineering team at Salesforce and make a meaningful impact with your work We're looking for passionate leaders who want to shape the future of our products and deliver exceptional, data- and AI-driven experiences to our customers. Be part of an innovative and collaborative environment where your skills will thrive, and your ideas will be valued.
We believe empowered, autonomous teams drive innovation-giving individuals the freedom to make decisions that help our products, company, and customers thrive.

Your Impact
Our ideal candidate is passionate about building new products for thousands of enterprise customers by leveraging AI innovation, while upholding the highest standards of quality and scalability.

In this role, you will:

- Drive the execution and delivery of features by collaborating with cross-functional teams, architects, product owners, engineers, and data scientists.

- Make critical decisions that directly influence product success.

- Anticipate and proactively resolve issues before they escalate.

- Facilitate agile ceremonies, including daily stand-ups, serving as Scrum Master for engineering teams.

- Partner with Product Managers to align on objectives, priorities, trade-offs, and risks.

- Ensure teams have clear priorities, adequate resources, and the autonomy to self-organize.

- Act as a multiplier-passionate about team success and individual growth.

- Provide technical guidance, career development, and mentoring to team members.

- Maintain high morale, inspiring teams to go above and beyond.

- Champion technical excellence and help teams make sound engineering decisions.

- Participate in architecture discussions, roadmap planning, and multi-team reviews.

- Foster our culture by interviewing, hiring, and retaining top talent.

- Occasionally contribute hands-on with coding or feature verification to stay close to the technology.

- Design test strategies, develop automation frameworks, and build unit/functional tests for AI/ML systems.

Minimum Requirements

- 10+ years of software engineering experience with 3+ years successfully leading sizeable, high-performing teams.

- Proven experience delivering technically complex, fast-paced projects.

- Exposure to the ML lifecycle, including model training, deployment, and inference.

- Familiarity with safe AI/ML rollout methodologies.

- Proficiency in at least one modern programming language (e.g., Java, Python, Go).

- Ability to design and guide development of complex, high-performance systems supporting AI workloads.

- Strong verbal and written communication, organizational, and time-management skills.

- Comfortable working in dynamic environments with minimal specifications.

- Experience with short release cycles and full software development lifecycle, including production releases.

- Track record in hiring, mentoring, and growing engineering teams.

- Hands-on experience with software engineering best practices: coding standards, code reviews, SCM, CI/CD, testing, and operations.

- Agile development experience Scrum Master background required.

- Strong collaboration skills, able to communicate effectively with users, technical teams, and product management.

Preferred Requirements

- Exposure to Generative AI technologies, particularly Retrieval-Augmented Generation (RAG) systems and agentic workflows.

- Eagerness to learn and adapt in a fast-paced environment.

- Strong knowledge of Salesforce products, platform capabilities, and best practices.

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, and our AI agents accelerate your impact so you can. 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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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. 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.

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