The Experience

About Scale Test: Today, customers facing high-stakes launches, multi-org transformations, or seasonal traffic spikes operate in the dark — hoping their systems scale rather than knowing they will. Scale Test changes that equation. Scale Test is Salesforce's native, comprehensive performance testing platform - the only solution that scans your production org to generate AI-powered test plan insights, then transforms your Full Copy Sandbox into a production-like environment for true scale validation.

Our mission: make any developer a performance engineer through a low-code, intuitive test automation experience.

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