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
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
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
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
Requirements
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-sensitive 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)