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Benefits & Perks
•Flexible work arrangements
•401(k) matching
•Generous paid time off and holidays
•Parental leave
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Parental Leave
•Healthcare
Required Skills
React
PostgreSQL
Python
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
Enterprise Technology & Infrastructure:
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.
We are seeking a visionary Director of Software Engineering to lead a critical infrastructure organization. In this role, you will transition from focused sprint execution to defining the "Release to Release" strategy for a comprehensive infrastructure health and change safety platform.
You will lead a high-performing organization-including Managers, Principal Engineers (PMTS), and Lead Engineers (LMTS)-tasked with automating compute and network infrastructure lifecycle operations at scale across our physical data center footprint and public cloud environments. This is a role for a leader who builds lasting, cross-functional relationships and drives strategy to ensure low-drama, high-value results.
Key Responsibilities Strategic Leadership & Vision
- *Release-to-Release Strategy: Define the roadmap for Infrastructure Automation and Change Safety, shifting focus from short-term goals to long-term delivery of connected features.
- *Business Alignment: Influence and own the Product Strategy for the domain; partner with stakeholders on prioritization, organizational shifts, and KPI alignment.
- *Cross-Cloud Influence: Represent your technology stack in Cross-Cloud discussions. Build partnerships with Product Management and Hardware Engineering to support broader business goals.
Engineering Execution & Architecture
- *Architectural Accountability: Scrutinize all architectural decisions through rigorous review. Own the technical direction, including the integration of AI/ML for production automation.
- *Operational Excellence: Prioritize Quality, Availability (99.999%), and Security. Maintain working plans for performance optimization and technical debt reduction.
- *Incident Command: Personally lead teams during high-severity production incidents. Drive down production support costs through resilient system design.
People Management & Org Development
- *Management of Managers: Coach and groom Managers and Sr. Managers to effectively lead their respective teams.
- *Talent Growth: Mentor high-level individual contributors (LMTS/PMTS) and facilitate their growth through Talent Development principles.
- *Resource Management: Manage budgets (Merit, Promotion, QPI) and pivot resources to align with evolving business priorities.
- *Culture Building: Foster an "Ohana" culture of inclusivity, constant learning, and psychological safety.
Delivery & Collaboration
- *Project Accountability: Maintain full accountability for the engineering aspects of project delivery, including performance, quality, and productivity tools.
- *Cross-Functional Partnership: Act as a trusted partner to Quality, Capacity Planning, and Product Security teams to enable repeated, low-drama delivery.
- *Communication: Communicate early and clearly to keep projects on track and diffuse cross-team conflict.
Required Qualifications
- *Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- *Experience: 10+ years of software engineering experience focusing on distributed systems, infrastructure, or cloud platforms.
- *Leadership: 5+ years of people management experience, including at least 2 years managing other managers.
- *Technical Domain: Deep understanding of distributed system design patterns, cloud computing (AWS/Azure/GCP/Kubernetes), and infrastructure automation.
- *Org Scale: Proven ability to manage an organization of 20+ engineers and geographically distributed teams.
- *Strategic Agility: Experience translating a "North Star" vision into well-engineered solutions and making tech decisions based on customer value.
Preferred Qualifications
- *AI/ML in Ops: Experience leveraging AI/ML or statistical models to inform production automation at scale.
- *Technical Fluency: Familiarity with Golang, Java, or Python to guide code and design reviews.
- *Change Management: Experience building systems that manage high-risk infrastructure changes safely.
- *Open Source: Contributions to or familiarity with open-source infrastructure tools.
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
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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. 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.
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About Salesforce

Salesforce
PublicA cloud-based software company that provides customer relationship management software and applications.
10,001+
Employees
San Francisco
Headquarters
$243B
Valuation
Reviews
4.0
16 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Competitive compensation packages
Remote work flexibility
Good benefits (headphone/internet reimbursement)
Cons
Ongoing layoffs and job insecurity
Poor refresher/yearly stock grants
Condescending interview processes
Salary Ranges
45 data points
Mid/L4
Senior/L5
Mid/L4 · Analyst Business Intelligence
1 reports
$156,823
total / year
Base
$120,633
Stock
-
Bonus
-
$156,823
$156,823
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Offer Rate
20%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview Panel
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
Good pay but culture getting worse day by day
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Internal political situation deteriorating, frequent layoffs impacting remaining employees workload and wellbeing
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Salesforce Interview Experience
Two technical rounds with friendly interviewers, tested on C, debugging, storage concepts, and algorithm problems
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