Director of Engineering - Agentforce

Salesforce•San Francisco, CA

About The Position

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. Team Description: 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. Apply now and let's build something extraordinary together! In this role, you will build tools that help build and test AI agents that will be used by thousands of end users, delivering value with AI automation. Our software engineers ship applications written in the enterprise Java stack on the core platform and on our Agentforce platform. We work in a highly collaborative environment, and you will lead a highly cross functional team comprised of Software Engineers, Machine learning engineers, UX experts and product managers to build AI Agent tooling. We value execution, clear communication, in person collaboration, and making learning fun.

Requirements

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

Nice To Haves

Prior academic or work experience in Machine Learning/Artificial Intelligence
Pragmatic orientation to building ML solutions that work in production at scale

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 ScrumMaster 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