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About the Role

The Developer Experience & Observability organization at Salesforce is dedicated to creating a world-class development environment for over 15,000 internal engineers. This team builds integrated products, platforms, and tooling that engineers and AI agents use to move code from concept to production, covering the entire software development lifecycle. They are reimagining the SDLC for the agentic era, aiming to enhance how engineers and AI agents collaborate on software development by reducing toil, accelerating feedback loops, and enabling teams to deliver high-quality software confidently. This involves transforming emerging AI capabilities into robust developer experiences that operate at an enterprise scale.

Responsibilities

Set the product vision and strategy, defining a clear direction, a sequenced roadmap, and investment priorities.
Translate strategy into clear requirements and iterative delivery, making deliberate choices about what to build, buy, improve, or retire while balancing developer needs, technical debt, security, cost, and long-term business goals.
Champion the voice of the developer by building trusted customer relationships through interviews, advisory boards, surveys, workflow research, and product telemetry.
Uncover the root causes of developer friction, translate insights into focused product opportunities, validate solutions, and close the feedback loop.
Drive AI-native developer productivity by identifying opportunities for AI coding tools and agents across the SDLC.
Prototype and evaluate emerging tools and workflows, considering quality, developer trust, security, human oversight, and cost.
Turn high-value experiments into reliable products used in everyday development.
Measure and improve outcomes by establishing baselines and success measures for developer experience, delivery performance, adoption, and AI effectiveness.
Combine DORA delivery metrics and SPACE-informed measures with build/test feedback times, CI reliability, developer sentiment and satisfaction measures such as NPS/CSAT, and qualitative research.
Use evidence to identify bottlenecks, prioritize investments, and validate improvements in speed, quality, and satisfaction.
Influence and collaborate at scale by building strong, trusted partnerships across partner teams and driving influence at all levels of the organization.
Resolve competing priorities, navigate technical tradeoffs, and communicate clear recommendations to engineers and executives.
Prioritize the product backlog while balancing developer feedback, technical debt, security requirements, and long-term business goals to maximize platform value.

Requirements

6-10+ years of technical product management experience (or equivalent) with demonstrated success owning large-scale developer platforms, infrastructure platforms, developer tools or DevOps products.
Strong understanding of modern software development practices and developer workflows across source control, build systems, testing, and CI/CD.
Experience with complex development environments such as large monolithic applications, monorepos, and/or distributed cloud-native microservices.
AI-native, hands-on approach: You use AI to improve how you work. You can build prototypes, automations, and agents using tools such as Claude Code, Cursor, Codex, or equivalents.
Examples include Slack workflows that capture developer feedback, surface recurring issues, and track follow-through.
A track record of combining customer research, product data, and experimentation to understand technical users, make better product decisions, and deliver experiences developers adopt and value.
The ability to turn complex product and technical tradeoffs into clear written narratives, roadmaps, and executive recommendations while building trust with engineering teams.
Experience building products where scale, security, privacy, compliance, reliability, and performance are fundamental requirements, with an understanding of the additional evaluation and governance considerations for AI tools.
Natural comfort with ambiguity and the ability to bring clarity, focus, and alignment across large, matrixed organizations and in a fast-evolving landscape.
BS or MS in Computer Science, Software Engineering, or a related discipline (or equivalent practical experience).

Skills

Product vision and strategy
Roadmap development
Requirements definition
Developer advocacy
Customer research
Product telemetry
AI tools and workflows
DORA metrics
SPACE metrics
Communication
Influence
Technical tradeoffs
Product backlog prioritization
Modern software development practices
Developer workflows
Source control
Build systems
Testing
CI/CD
Complex development environments
AI coding tools
AI agents
Prototyping
Automation
Claude Code
Cursor
Codex
Slack workflows
Customer research
Product data
Experimentation
Written narratives
Executive recommendations
Scale
Security
Privacy
Compliance
Reliability
Performance
AI tool evaluation
AI tool governance
Ambiguity management
Clarity
Focus
Alignment

Location

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

Work Type

Full-time

Experience Level

6-10+ years of technical product management experience

Education Level

BS or MS in Computer Science, Software Engineering, or a related discipline (or equivalent practical experience)

Salary/Compensations

The typical base salary range for this position is $197,300 - $313,700 annually.
In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.

Benefits

Time off programs
Medical
Dental
Vision
Mental health support
Paid parental leave
Life insurance
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.
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?
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.
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.