Senior Product Manager, Scale Test

About the role

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 Category

Product

The Role

We're looking for a Senior Product Manager to led the Scale Test product. This is a high-impact, high-visibility role at the intersection of platform engineering, enterprise customer success, and AI-driven testing innovation.

You won't just manage a backlog — you'll be a strategic owner who deeply understands how our largest customers architect and test their Salesforce implementations, translates that into a compelling product roadmap, and drives Scale Test toward its next phase of growth across Agentforce, Partners, and GovCloud.

What You'll Actually Be Doing

Customer & Market Engagement

Serve as the primary PM interface for enterprise customers running Scale Test, working closely with them through complex, time-sensitive testing windows to gather deep technical feedback

Partner with ISVs, SIs, and GovCloud customers to understand their unique testing requirements (e.g., data residency, compliance, FedRamp) and drive feature development accordingly

Translate complex enterprise customer scenarios — from Hyperforce migrations to Agentforce go-lives to peak load events — into clear, prioritized product specs and user stories

Product Strategy & Roadmap

Own the prioritized roadmap for Scale Test — covering test plan creation, test scheduler, test execution, load generation, UI script recorder/builder, and AI-powered features (Scale Agent, AI Script Healing)

Own end-to-end product strategy, roadmap, and delivery for Scale Test across multiple engineering teams (managed load generation, analytics platform, DevOps integration)

Define and drive the Agentforce testing strategy — understanding how customers build and validate Agentforce implementations at scale and driving features to support their go-lives

Lead the Vibe Testing capabilities roadmap: enabling PMs, admins, and non-engineers to intuitively define, run, and interpret performance tests through natural language and AI-guided flows — reducing reliance on scripting expertise and democratizing scale testing across teams

Drive the Pilot-to-GA pipeline for cutting-edge capabilities including Scale Agent (AI assistant for test analysis), Load Generation, and AI Script Healing

Stay ahead of industry trends in performance testing, AI/Agentforce workload patterns, cloud infrastructure, and enterprise DevOps practices

Cross-Functional Collaboration

Work across Salesforce product teams (Agentforce, Data Cloud, Hyperforce, Platform) to ensure Scale Test integrates effectively and is positioned as a required step in every major go-live

Partner with Sales, AEs, CSMs, and Solution Architects on GTM strategies — including sales plays, competitive positioning, customer enablement, and new market expansion

Collaborate with the enablement team on Trailhead modules, internal FAQs, sales canvases, and persona-based selling guides

Execution & Delivery

Drive sprint planning, feature scoping, and launch readiness across engineering and research teams

Define success metrics and monitor product KPIs — including RPS thresholds tested, scale test days consumed, customer satisfaction, and renewal rates

Represent Scale Test at customer conversations, TDX/Dreamforce sessions, partner discussions, and internal executive reviews

You're Our Person If

• 7+ years of Product Management experience, with at least 4+ years in a B2B SaaS or platform product role.
• Bachelor's degree in Computer Science, Engineering, or technical field; MBA or Master's degree in Business, Product Management, or related field a plus
• Demonstrated experience owning complex, technically deep products end-to-end — from discovery through launch and iteration
• Strong technical fluency — ability to engage meaningfully with engineering on infrastructure, load generation, APIs, and system design without needing to code
• Track record of working directly with enterprise customers to surface insights and drive product improvements — ideally in performance-critical or platform contexts
• Excellent communication and storytelling skills — equally comfortable in an engineering sprint review, a customer-facing demo, and an executive business review
• Ability to operate autonomously in ambiguous, fast-moving environments and make high-quality decisions with incomplete information
• Prior experience with performance testing, load testing, or developer tooling products (e.g., LoadRunner, JMeter, or similar)
• Agentic testing experience — you've built or managed products that test AI agents, agentic workflows, or autonomous systems; you understand how to validate quality, reliability, and performance for non-deterministic AI systems
• Deep technical fluency across performance testing, load generation, cloud infrastructure (AWS, Kubernetes), and SaaS architecture — able to engage deeply with engineering teams and communicate clearly to executive audiences
• Experience with testing/observability/monitoring products — you've built or managed products in the DevOps toolchain (load testing, APM, observability, CI/CD, test automation)

Even Better If

• Hands-on exposure to Agentforce, Hyperforce, Salesforce Platform, or adjacent Salesforce products
• Deep knowledge of Salesforce platform — multi-tenant SaaS architecture, sandboxes (Full Copy, Partial Copy, Developer), Hyperforce, governor limits, metadata model, Apex/LWC performance
• Experience with Salesforce developer tooling or platform products — DevOps Center, Code Analyzer, Optimizer, CLI, VS Code extensions, or similar DX products
• Understanding of Agentforce testing needs — what metrics matter (prompt latency, action execution time, LLM error rates, agent success rate, reasoning quality), how to measure quality at scale
• Experience working with Partners (ISVs / SIs) and managing partner-driven product requirements
• Familiarity with GovCloud / public sector requirements including FedRamp or equivalent data residency standards
• Passion for democratizing developer tooling — making complex workflows accessible to non-engineers through low-code and AI-guided experiences (Vibe Testing)
• BS or MS in Computer Science, Engineering, or a related technical field (or equivalent experience)
• Experience driving Pilot-to-GA product launches with strong customer feedback loops

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.

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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.

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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.