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About the Role

Salesforce is seeking a Principal Member of Technical Staff (PMTS) / Staff Software Engineer to set the technical direction and architecture for Slack's autonomous agentic systems. This role involves leading cross-team initiatives to transform high-volume software engineering workflows into dependable, supervised, and continuously improving agentic pipelines at enterprise scale.

Responsibilities

Set Technical Strategy & Architecture: Architect Slack’s agentic operations platform, defining the standards for building, registering, and operating autonomous agents and software factories safely at scale.
Build End-to-End Autonomous Pipelines: Design autonomous pipelines (code generation, bug fixing, incident remediation) equipped with orchestration, tool integrations, and human-in-the-loop controls needed to run unattended but accountably.
Establish Production AI Rigor: Build evaluation suites, regression harnesses, guardrails, and observability frameworks that make non-deterministic agentic systems measurable, debuggable, and safe.
Define Ownership & Accountability Models: Establish how failures in autonomous systems are detected, attributed, and remediated, including on-call policies and operational guardrails.
Drive Cross-Functional Adoption: Partner with platform teams (Speck, Incident Management, Deploy Safety) and consuming engineering groups to integrate agentic workflows into daily developer routines.
Cost & Compute Governance: Advocate for cost-conscious, efficient model and compute utilization, balancing model intelligence and latency against token budgets and compute spend.
Raise the Engineering Bar: Mentor senior engineers, drive deep architectural reviews, and author clear system designs that establish reusable technical patterns across the organization.

Requirements

10+ Years of Software Engineering Experience: Proven track record designing and delivering complex distributed systems at scale, with Staff/Principal-level technical judgment and organizational influence.
Production Agentic Systems Experience: Hands-on experience building and shipping LLM-powered agents and multi-agent systems, including orchestration, structured tool/function calling, retrieval (RAG), and context window engineering.
Production AI Rigor & Evals: Concrete experience making non-deterministic AI systems production-ready through deterministic evaluation suites, regression harnesses, guardrails, and LLM telemetry.
Strong Distributed Systems & Backend Foundations: High engineering rigor in writing clean, scalable, maintainable code. Experience operating backend and distributed systems with direct accountability for uptime, latency, and reliability.
Systems-Level Automation Mindset: Pragmatic approach to developer platforms and automation, comfortable operating with ambiguity and balancing rapid AI capability against production safety.
Experience building autonomous code-generation pipelines, automated refactoring systems, or “software factories” that open PRs and land changes across monolithic or multi-repo architectures.
Experience designing agent evaluation frameworks, prompt/context management layers, or LLM observability platforms used by other engineering teams.

Skills

LLM-powered agents
Multi-agent systems
Orchestration
Structured tool/function calling
Retrieval (RAG)
Context window engineering
Deterministic evaluation suites
Regression harnesses
Guardrails
LLM telemetry
Distributed systems
Backend systems
Developer platforms
Automation
Autonomous code-generation pipelines
Automated refactoring systems
Software factories
Agent evaluation frameworks
Prompt/context management layers
LLM observability platforms
Service orchestration
Automated incident remediation
AWS
Kubernetes (EKS)
Infrastructure as Code (Terraform)
Anthropic Claude Tool Use
OpenAI function calling
Model Context Protocol/MCP
LangGraph

Location

Select cities within the San Francisco and New York City metropolitan area

Work Type

Full-time

Experience Level

Principal Member of Technical Staff
Staff Software Engineer
10+ Years of Software Engineering Experience

Salary/Compensations

$197,300 - $313,700 annually
$237,700 - $344,700 annually in select cities within the San Francisco and New York City metropolitan area

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

About the Company

Salesforce is the #1 AI CRM, where humans with agents drive customer success together.
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.
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
At Salesforce, we believe in equality for all.
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.
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.