Principal Architect, AI Labs

100 Salesforce, Inc.; San Francisco (CA); On-site; USD 238,000 - 401,000; Full time

Benefits offered by this job

Time off programs

Medical

Dental

Vision

Mental health support

Paid parental leave

Life and disability insurance

401(k)

Employee stock purchasing program

Job summary

Salesforce is seeking deeply technical AI architects to lead technical and AI diligence for potential acquisitions and strategic investments, partnering across two critical moments in the deal lifecycle.

You will critically evaluate architecture, models, data strategy, infrastructure, security, scalability, and IP; interview and score DeepTech talent; assess build-vs-buy questions; and translate risks into clear recommendations for AI Labs leadership while identifying cross-portfolio AI

Qualifications

• Principal/Distinguished engineering or architecture experience in AI, ML, and production-scale AI products.
• Deep understanding of modern AI architectures, training/post-training and inference.
• Ability to rapidly understand unfamiliar technical stacks.
• Experience with startup/founder-led engineering teams.
• Strong technical judgment with pragmatic business thinking.
• Experience with technical diligence, DeepTech investing, acquisitions, or startup evaluation is nice to have.

Responsibilities

• Lead technical and AI diligence for potential acquisitions and strategic investments.
• Critically evaluate architecture, models, data strategy, infrastructure, security, scalability, technical differentiation, and technical debt.
• Interview and score DeepTech talent.
• Assess build-vs-buy questions and 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.

Skills

AI architectures

ML & production-scale AI

Technical judgment

Startup/founder-led teams

Job description

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. 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

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.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program

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.