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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.
About the role
Trust is Salesforce's #1 value. Within the Salesforce Trust Platform (STP), the Trust Intelligence Platform (TIP) engineering organization builds the 360° security-intelligence layer protecting every Salesforce asset across our public-cloud substrates and private infrastructure. Inside TIP, the Trusted Supply Chain (TSC) team owns the services that secure the design, code, build, and run phases of the Salesforce SDLC - used by thousands of internal developers shipping the world's largest SaaS platform.
As Lead MTS in TSC, you will own the architecture and engineering roadmap for our trusted-supply-chain platform: third-party-package security, vulnerability management, attribution, remediation, and runtime defense. You will be the authoritative voice on technical tradeoffs, the most active evangelist for next-generation security engineering, and the mentor who raises the technical bar for the engineers around you.
This is a builder's role for a senior IC who wants to define what supply-chain security looks like in the agentic-AI era - not just instrument the SDLC, but redesign it.
What you will do
Own the architecture vision and multi-year roadmap for Salesforce's Trusted Supply Chain platform — scanning, attribution, remediation, and runtime defense across public cloud and private infrastructure.
Lead the AI-native rebuild of our supply-chain stack. Design and ship agentic systems that triage findings, author fixes, validate them in CI, and close the loop without human keystrokes for the well-understood cases - freeing engineers to focus on novel risk.
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Champion operational excellence. Feed incident learnings back into design. Build for fault isolation, graceful degradation, and observability from day one.
Partner with PMs and EMs on build-vs-buy decisions and time-to-market vs. long-term sustainability tradeoffs.
Coach Salesforce application teams on supply-chain and AppSec best practices; be the voice of TSC in the Salesforce Principal community.
Track and adopt the most relevant trends in supply-chain security, agentic AppSec, ML-assisted vulnerability discovery, secure software development, and AI safety.
Mentor engineers — advocate for their contributions and career development; raise the technical bar across the team.
Required skills and experience
M.S. or Ph.D. in Computer Science or equivalent practical experience.
10+ years building applications or systems software at scale.
5+ years in public-cloud environments with container-based technologies (Docker, Kubernetes, Istio, service mesh).
Strong, active coding skills in at least two of Go, Java, Python, Rust, C# , with deep attention to code quality and secure-by-default patterns.
Experience with stateful, service-oriented architectures and the design tradeoffs they impose (consistency, partitioning, recovery).
Experience with relational and NoSQL stores and pub/sub messaging (Kafka, RabbitMQ, SQS).
Demonstrated ability to define technology strategy and execute multi-year roadmaps through ambiguity.
Track record of incremental architectural evolution, refactoring, and safely prototyping new features in production.
Excellent written and verbal communication; proven ability to drive alignment with executives, peers, and engineers on contentious technical decisions.
AI / agentic engineering
This role is for someone who will build the next supply-chain stack, not just specify it.
We expect:
Hands-on experience building production systems with LLMs - RAG pipelines, function/tool calling, structured output, evals, guardrails.
Working knowledge of agentic patterns: multi-agent orchestration, planner/executor loops, tool-augmented reasoning, agent memory and context management, human-in-the-loop checkpoints.
Practical fluency with the modern AI developer stack — at least one of: Anthropic Claude / OpenAI / similar foundation-model APIs; agent frameworks (LangGraph, CrewAI, AutoGen, or equivalent); MCP (Model Context Protocol); evaluation harnesses (LangSmith, Braintrust, custom).
Proven daily use of AI-assisted coding tools (Claude Code, Cursor, Copilot) including authoring custom agents, slash commands, hooks, and skills — and a clear point of view on when to use them and when not to.
A realistic posture on AI safety and reliability: prompt-injection defense, sandboxing untrusted tool calls, deterministic test harnesses, regression evals, cost/latency budgeting, and graceful degradation when the model gets it wrong.
Why this role
Salesforce balances employee well-being with high achievement. This is a customer-facing role with a tight feedback loop - you ship, our developer audience uses it, you see the impact in days, not quarters. There is real room for experimentation: the TSC platform is being rebuilt to be AI-native, and the person in this seat will help draw the lines.
You will work alongside the best security engineers in the industry, on problems that genuinely matter to a platform that thousands of developers and tens of thousands of customers depend on every day.
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.
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