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Salesforce

Lead Software Engineer, AI Labs (Product and Customer Facing)

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $165K - 265K a year · our estimate

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Description

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

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.

We are building a new business unit meant to drive large-scale transformation through data, generative AI, and a leading platform that supports mission-critical workloads. In this role, you'll grow within a team of the most talented engineers and AI researchers in the world, as you contribute high-quality code to the hardest problems faced by our customers.

As a Software Engineer in this new business unit, you'll touch every phase of the product lifecycle. You'll own a range of responsibilities, from generating ideas and designing prototypes to executing features and shipping releases, while working alongside world-class engineers who will champion your growth. You'll work hand-in-hand with technical and non-technical colleagues to uncover real customer problems and deliver solutions that address them.

You'll rotate forward and embed directly with our most demanding customers and partners to quickly understand their greatest problems, then design and implement solutions against them. You'll apply your problem-solving ability, creativity, and technical skills to help organizations drive real impact in the world. You'll make use of everything around you: Salesforce products, open source technologies, and anything you and your team can build.

It doesn't matter what languages you know when you join us. What matters is that you can write clean, effective code and learn new languages quickly. Our software is constantly evolving, so we need engineers who can do the same. We also adapt to the diverse environments of our customers and deliver solutions that scale across disparate networks and infrastructure.

You'll be on the forefront of something Salesforce has never done before. You'll learn how to unpack a problem and understand the costs and consequences of its solution, pick up new technologies and languages, and even develop them yourself, all within a collaborative community that will support and challenge you as you grow.

Responsibilities

  • Work alongside motivated and talented engineers to bring cutting-edge theory into customer-facing practice
  • Build tools and pipelines to support ML and AI efforts
  • Design, build, deploy, and maintain production software and AI services, such as APIs, UIs, and agentic evaluators
  • Roll out scalable cloud architectures and the software that runs on them
  • Help with end-user requirements gathering and executive presentations
  • Understand the toughest customer problems and devise thoughtful solutions
  • Required Skills / Qualifications
  • B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
  • 5+ years of industry experience in Software Engineering, with a focus on AI/ML (7-12 years for Lead, 4-8 years for Senior)
  • Proficiency in multiple programming languages such as Python, Go, Java, or C++
  • Strong background in APIs, data modeling, and databases
  • Experience with production cloud deployments such as AWS, GCP, or OCI
  • Experience field-debugging full-stack deployments
  • Demonstrated ability to work both independently and collaboratively in a dynamic environment
  • Excellent written and verbal communication skills
  • Proven collaborator who can manage internal and external stakeholders and drive consensus across diverse engineering and product teams
  • Solid understanding of security principles and best practices
  • Passion for continuous learning in AI technologies and enthusiasm for mentoring peers
  • A demonstrated, genuine AI-first approach to engineering: using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows
  • High level of authorship
  • Preferred Skills / Qualifications
  • Experience with open-source technologies such as Kubernetes, Envoy, Grafana, React, and Redux
  • UI and graphic design sensibilities
  • 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.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in San Francisco, United States, New York, United States, United States

Also hiring in Amsterdam, Netherlands, Seattle, United States, London, United Kingdom and 32 more places

34 of their 332 open roles are remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • React
  • Python
  • Go
  • Java
  • AWS
  • Kubernetes
  • C++
  • LLMs
Seniority
Lead
Type
Full-time
Industry
SaaS
Specialty
Backend
Region
United States
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
Lead
Experience
5+ years
Tech stack
  • React
  • Python
  • Go
  • Java
  • AWS
  • Kubernetes
  • C++
  • LLMs

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • New York, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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