The Experience

Join an agile team with deep startup roots. We operate as a high-velocity ‘startup-within-Salesforce,’ following our recent acquisition. You’ll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce.

We have successfully moved past the "0 to 1" phase. We have a product that works, customers who love it, and the backing of Salesforce. Now, we are entering the "1 to 100" phase: scaling our architecture to handle global demand, hardening our systems for enterprise-grade resilience, and integrating deeply with the Agentforce ecosystem. This is your chance to help lead that transition.

What You'll Actually Be Doing

As a Production Support Engineer (SMTS), you will be a senior technical member of staff within our embedded reliability team. You aren’t building the foundation alone—you’ll work alongside a group of engineers and product owners to ensure the Agentforce Operations platform is the most reliable AI-powered engine in the industry.

This is a role for an engineer who loves the "scaling" problem. You will focus on production excellence, performance tuning, and infrastructure automation. Because you are embedded in the product organization, you’ll have a seat at the table during design reviews, ensuring that as we add new agentic capabilities, they are built to scale from day one.

• Scaling & Reliability: Own the reliability roadmap for major product areas, working to transition our systems from startup-speed architectures to highly-available, global-scale enterprise solutions.
• Collaborative Leadership: Partner with PMTS-level engineers to refine our infrastructure strategy, contributing senior-level perspectives on system design, capacity planning, and bottleneck identification.
• Infrastructure as Code: Maintain and evolve our automated environments, focusing on making our "infrastructure-as-plugins" model more robust and developer-friendly.
• AI Operations (AIOps): Support the scaling of our AI/ML infrastructure, ensuring our models have the GPU resources and data pipelines required to deliver real-time supply chain insights.
• Production Excellence: Lead the "1 to 100" hardening of our observability stack. You won’t just respond to incidents; you’ll build the tooling that prevents them and the telemetry that explains them.
• Performance Engineering: Deep-dive into SQL optimization, API latency, and cross-service communication to ensure our data-intensive supply chain platform remains performant under heavy load.
• AI-First Workflow: Lean into the future of engineering by using AI tools (Claude Code, Codex, etc.) to automate routine operational tasks and accelerate infrastructure delivery.

You're Our Person If...

• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and scale.
• Proven Scaling Experience: You have previously helped take a product through a high-growth phase (the "1 to 100" journey), dealing with the technical debt and architectural shifts that come with it.
• Coding Mastery: Ability to write and review production-level code in Golang, TypeScript, or Python—you view automation as a software engineering problem.
• Technical Breadth: Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure.
• Observability Expert: Demonstrated experience with properly instrumenting applications and platforms with SLO-based monitoring and alerting.
• Systems Expert: Deep understanding of distributed systems, including how to debug complex interactions between microservices, databases, and AI agents.
• Low-Ego Collaboration: Experience working within a senior team of Principal engineers, capable of both leading specific initiatives and supporting the broader group’s technical vision.
• AI Fluency: A demonstrated ability to use modern AI development tools to move faster and build more reliable systems.
• Ownership Mentality. We are a senior team who operate with a high degree of autonomy. As a result, we’re looking for someone who can independently identify issues and own the solution all the way through final implementation.

Even Better If...

• M.S. in Computer Science or equivalent practical experience.
• Database Specialist: Strong experience with PostgreSQL at scale (partitioning, indexing, query tuning).
• Distributed Systems: Advanced knowledge of microservice orchestration and durability patterns, including hands-on experience with Temporal for workflow reliability and Istio service meshes for secure, observable service-to-service communication in high-growth SaaS environments.