Senior Product Manager, Scale Test

Overview We’re looking for a Senior Product Manager to lead 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. In this position you will own the product roadmap, collaborate with engineering and business teams, and drive the Scale Test product toward its next phase of growth across Agentforce, Partners, and GovCloud. Responsibilities 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 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 by 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. Required Qualifications 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 a technical field; MBA or Master’s degree in Business, Product Management, or related field is 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 — comfortable in engineering sprint reviews, customer‑facing demos, and executive business reviews. 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 — built or managed products that test AI agents, agentic workflows, or autonomous systems; understanding 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 — built or managed products in the DevOps toolchain (load testing, APM, observability, CI/CD, test automation). Preferred Qualifications Hands‑on exposure to Agentforce, Hyperforce, Salesforce Platform, or adjacent Salesforce products. Deep knowledge of Salesforce platform — multi‑tenant SaaS architecture, sandboxes, Hyperforce, governor limits, metadata model, Apex/LWC performance. Experience with Salesforce developer tooling or platform products — DevOps Center, Code Analyzer, Optimizer, CLI, VSCode extensions, or similar DX products. Understanding of Agentforce testing needs — which metrics matter (prompt latency, action execution time, LLM error rates, agent success rate, reasoning quality), and 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. Benefits High visibility, high ownership: Scale Test is a fast‑growing product with direct executive attention and a clear path to significant revenue impact. Real enterprise impact: Your work directly helps some of Salesforce’s most demanding enterprise customers go live with confidence at production scale. AI at the core: Shape how Agentforce implementations are validated at scale — a uniquely forward‑looking problem space. Full product lifecycle ownership: From pilots (Scale Agent, AI Script Healing, Vibe Testing) to GA releases to new market expansion (GovCloud, Partners, global enterprise). Career growth: Build and own a high‑growth product on a team that operates with startup velocity inside Salesforce’s global scale. Equal Employment Opportunity Statement Salesforce is an equal opportunity employer, maintaining a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and are committed to creating an inclusive workplace free from discrimination. Any employee or prospective 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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, and assessment of job performance. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. #J-18808-Ljbffr 100 Salesforce, Inc.