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Job Category
Software EngineeringJob 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.
AI Labs aims to grow Salesforce into America’s next $1.5T AI mainstay, from ASICs to Agents. We’re looking for deeply technical, product-savvy AI architects who can operate across two critical moments in the deal lifecycle: evaluating AI technology before it is acquired, licensed, or invested in by a larger firm, and accelerating that company after acquisition.
These leaders will provide independent, in-IDE technical depth during M&A or investment diligence, while helping build common DeepTech capabilities, models, and infrastructure that portfolio companies can leverage after joining AI Labs.
What You'll Do
- Lead technical and AI diligence for potential acquisitions and strategic investments. (Formal diligence experience is not required.)
- Critically evaluate (by testing, studying, using, and remixing) architecture, models, data strategy, infrastructure, security, scalability, technical differentiation, and technical debt.
- Interview and score DeepTech talent.
- Assess build-vs-buy questions and the defensibility of a company's underlying technology, team, and IP.
- Partner directly with founders, CTOs, and engineering leaders during diligence.
- Identify material technical risks and opportunities and translate them into clear recommendations for AI Labs leadership.
- Identify opportunities for portfolio companies to adopt shared AI technologies, evaluation frameworks, infrastructure, standards, and services, only where doing so creates material leverage.
- Identify capabilities that should be built once across AI Labs, rather than repeatedly by individual companies, and the technical and nontechnical tradeoffs.
- Serve as a senior technical advisor across the AI Labs portfolio without becoming a centralized bottleneck.
What We're Looking For
- Principal/Distinguished-level engineering or architecture experience in AI (both basic and applied), ML, and production-scale AI products.
- Deep understanding of modern AI architectures, models, training/post-training and inference, data, evaluation, infrastructure, production systems, and how technical choices shape product outcomes.
- Ability to rapidly understand unfamiliar technical stacks and distinguish true technical differentiation from implementation detail.
- Experience working with startup/founder-led engineering teams.
- Strong technical judgment combined with deep product taste and pragmatic business thinking.
- Experience with technical diligence, DeepTech investing, acquisitions, or startup evaluation is nice to have. (Having shipped differentiated AI/ML products matters more.)
Team Values
- Distill
- Always be learning
- Invest in relationships
- Bravery without bravado
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
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
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.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $401,400 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.Skills Required
- Principal or Distinguished-level engineering or architecture experience in AI, machine learning, and production-scale AI products
- Deep understanding of modern AI architectures, models, training and post-training, inference, data, evaluation, infrastructure, production systems, and product outcomes
- Ability to rapidly understand unfamiliar technical stacks and distinguish technical differentiation from implementation detail
- Experience working with startup or founder-led engineering teams
- Strong technical judgment, product taste, and pragmatic business thinking
- Experience with technical diligence, DeepTech investing, acquisitions, or startup evaluation
- Experience shipping differentiated AI or machine learning products
Salesforce Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Salesforce and has not been reviewed or approved by Salesforce.
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Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, and vision options, mental‑health programs, and low‑deductible or heavily subsidized tiers. Feedback suggests offerings like Lyra counseling, care navigation, and wellness reimbursements make access broad and user‑friendly.
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Parental & Family Support — Parental and family benefits are portrayed as robust, including paid leave for primary and secondary caregivers and extensive family‑building support such as fertility, adoption, and doula benefits. Backup childcare and caregiver resources provide practical help across different life stages.
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Leave & Time Off Breadth — Time‑off programs are highlighted as generous, with flexible PTO and hybrid options alongside seven days of paid Volunteer Time Off each year. Feedback suggests this combination supports work‑life balance and community engagement.
Salesforce Insights
What We Do
Salesforce is the #1 AI CRM, where Humans with agents drive customer success together. Through Agentforce, our groundbreaking suite of customizable agents and tools, Salesforce brings autonomous AI agents, unified data from any source, and best-in-class Customer 360 apps together on one integrated platform to help companies connect with customers in a whole new way. Salesforce is democratizing AI agents for businesses of every size and industry so every company can embrace a workforce without limits. Our low code, open, and secure platform helps companies build and customize Salesforce fast so they can safely scale AI-powered work to every customer and employee experience and transform their business. Salesforce is proud to be the market leader, but we’re even more proud to lead in philanthropy, innovation and culture. Guided by core values of trust, customer success, innovation, equality, and sustainability, Salesforce is more than a business — we’re a platform for change.
Why Work With Us
There’s no typical day in the life of a Salesforce employee. You could be transforming our next AI innovation — or transforming your community. Closing deals — or closing your laptop for a day of Volunteer Time Off. Driving change for our customers — or driving change within one of our high-performing teams.
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