Full Stack Engineer - Senior/Lead - Office of the CEO

Salesforce•San Francisco, CA

18d•$172,500 - $260,100

About The Position

The Senior/Lead Software Engineer role is part of Salesforce’s Office of the CEO, within the AI Trust and Governance engineering team. The team builds systems to support Salesforce’s AI Trust and Governance mission. The engineer provides hands-on technical leadership across architecture, platform innovation, and large-scale distributed systems, working with engineering, product, architecture, and platform partners to design and build scalable, cloud-native services. This senior/lead individual contributor sets technical direction, mentors engineers, addresses complex technical challenges, and helps raise the team’s engineering standards. The role focuses on Core and near-Core systems, systems programming, and highly concurrent, scalable, and resilient systems. The engineer leads the design and development of AI system functionality, makes architecture and design decisions, and owns features end to end. The role includes developing comprehensive functional and system-level tests, debugging and root-cause analysis, and contributing to release and deployment processes. The engineer collaborates across teams, adapts to changing priorities, and mentors MTS/AMTS engineers through guidance and code and design reviews. Salesforce describes itself as an AI CRM company and says it uses AI tools to help recruiters assess and evaluate candidates’ resumes and qualifications; human decision-makers make all candidate selection and hiring decisions. The position’s typical annual base salary range is $172,500–$260,100, or $207,800–$285,800 in select cities in the San Francisco and New York City metropolitan areas. These ranges represent base salary only and exclude any applicable bonus, equity, or benefits.

Requirements

Bachelor’s degree or higher in Computer Science.
At least 4 years of industry experience in system or database internals programming.
At least 4 years of technical leadership in enterprise server platform or systems architecture and design.
Deep expertise in distributed systems and consensus algorithms.
Experience designing highly concurrent, multithreaded or multiprocess data structures and systems.
Strong Java or C programming skills.
Strong problem-solving skills and a results-oriented attitude.
Ability to learn quickly and deliver high-quality code in a fast-paced, dynamic agile team environment.
Ability to adapt to shifting requirements, priorities, and strategies.
Proactive collaboration and teamwork skills.

Nice To Haves

Strong oral and written communication skills and proven cross-team collaboration experience.
Ability to manage multiple projects and deadlines while adapting to shifting priorities.
Team-first mentality.
Ability to translate strategic goals into concrete technical plans and architecture.
Experience with the Salesforce platform, including Apex, LWC, or Data Cloud, or ability to learn it quickly.
Hands-on experience with Salesforce Agentforce or Agent Builder.
Ability to critically evaluate human- or AI-generated code for correctness, quality, security, and performance.

Responsibilities

Lead the design and development of AI system functionality.
Design architecture to address complex scalability problems.
Own features end to end and drive related design and architecture decisions.
Build functional and system-level tests for the areas of ownership.
Debug issues and perform root-cause analysis to diagnose defects.
Participate actively in release and deployment processes.
Collaborate with engineering, product, architecture, and platform partners across teams.
Provide technical direction and mentor MTS/AMTS engineers through guidance and code and design reviews.
Build scalable, cloud-native services supporting Salesforce’s AI Trust and Governance mission.