Director of Engineering - Agentforce
Listed on 2025-12-17
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IT/Tech
AI Engineer
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About SalesforceSalesforce 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.
TeamDescription
Join our dynamic AI cloud team at Salesforce and make a real impact with your code! We're looking for exceptional leaders who want to shape the future of our products and deliver exceptional 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.
Responsibilities- Build and ship innovative end-to-end AI applications
- Provide oversight and leadership through code and design reviews for features delivered by other developers within their scrum team.
- Drive the execution and delivery of features by collaborating with many cross functional teams, architects, product owners and engineer
- Make critical decisions that attribute to the success of the product
- Proactive in foreseeing issues and resolve it before it happens
- Daily management of standups as the Scrum Master for engineering teams
- Managing communication, alignment and execution with a global team
- Partner with Product Owner to align with objectives, priorities , tradeoffs and risk
- Ensuring teams have clear priorities and adequate resources
- Empowering the delivery team to self organize
- 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 cross-functional coordination, planning, and reviews with leads from other engineering teams
- Maintaining and fostering our culture by interviewing and hiring only the most qualified individuals
- Occasionally contributing 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 acumen sharp
- Masters / Bachelors degree required in Computer Science, Software Engineering, or equivalent experience
- 5+ years experience leading software engineering teams with a distinguished track record on technically demanding projects
- Experience shipping Machine Learning applications
- Experience with Data engineering, specifically around data acquisition, creating data pipelines, metric measurement, and analysis
- Experience owning highly available services and putting processes in place to maintain uptime
- Experience managing large scale distributed systems, working with microservices and/or distributed architecture
- Prior experience working with global teams
- Strong verbal and written communication skills, organizational and time management skills
- Ability to be nimble, 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 managing 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 leader experience required
- Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs
- Prior academic or work experience in Machine Learning/Artificial Intelligence
- Pragmatic orientation to building ML solutions that work in production at scale
The typical base salary range for this position is $211,500 - $306,600…
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