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Product Manager/Sr Product Manager, Agent Fabric (Washington)

$148.5k - $260.1k
Part-time

Salesforce

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProductJob DetailsAbout SalesforceSalesforce 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.The RoleWe are seeking an AI-native Product Manager to build core platform capabilities for Agent Fabric, Salesforce's multi-platform agent control plane. Enterprises are deploying agents across AWS, Azure, Google, and dozens of third-party runtimes, and they need infrastructure to discover, govern, orchestrate, and observe those agents as a unified estate. You will own feature development across these four pillars, shipping the APIs, policy engines, scanning infrastructure, and control plane experiences that make Agent Fabric the system of record for every agent in the enterprise.This is a build-first role. You will partner directly with engineering leads to design systems that scale across multi-cloud agent estates, shape the AgentScript dialect and deterministic broker, and work hands-on with design partner customers running 100+ agents to validate direction. As the product scales, you will also contribute to GTM positioning and customer adoption motions.Key ResponsibilitiesFeature Ownership: Define and ship features across Agent Fabric's four pillars: Discover, Govern, Orchestrate, Observe. Own the full lifecycle from spec through launch.Technical Roadmap: Drive the roadmap for multi-cloud agent scanning (AWS, Azure, Google, third-party runtimes), governance policy engines, and observability infrastructure.System Design Partnership: Partner with engineering to design and build agent control plane capabilities that scale across enterprise agent estates.Control Plane Experience: Collaborate with designers to define the agent control plane experience, translating complex governance and orchestration concepts into intuitive user actions across UX and AX.Design Partner Engagement: Work directly with strategic enterprise customers to validate feature direction, pressure-test capabilities against real deployments, and bring signal back into the roadmap.GTM Contribution: As capabilities ship, contribute to positioning, enablement, and adoption strategy alongside Product Marketing and the field.RequirementsExperience: 2-4 years in Product Management building platform or infrastructure products. L8 candidates will have 4-6 years with demonstrated ownership of shipped platform capabilities.AI-Native Mindset: You have built with LLMs, agents, or ML systems, not just managed products adjacent to them. You understand how agents work, not just what they do.Technical Fluency: Comfortable with API design, distributed systems, and developer tooling. Able to hold your own in architecture discussions with senior engineers.0-to-1 Shipping: Experience shipping new products or capabilities from scratch, not just incremental features on established platforms. Comfort defining category while building product.Market Signal Translation: Ability to translate ambiguous market signals into concrete product specs in a category being defined in real time.Bias for Action: Comfort with fast iteration, incomplete information, and making calls that can be revised. You ship, learn, and adjust.Collaboration: Ability to work across engineering, UX, field, and leadership in a matrixed organization. You build trust through technical depth and follow-through.Nice to HaveExperience with agent frameworks (LangChain, CrewAI, AutoGen, MCP)Background in integration platforms, API management, or observabilityPrior work on multi-tenant governance or policy systemsFamiliarity with OTel, FinOps, or security instrumentationUnleash Your PotentialWhen 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.AccommodationsIf 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 StatementSalesforce 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: 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 $148,500 - $260,100 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.SummaryLocation: Washington - BellevueType: Full time

Vacancy posted 9 hours ago
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