Principal Backend Engineer, Agentforce for Supply Chain

Salesforce · New York, New York

Opportunity & Product

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. You will have the unique opportunity to build a '0 to 1' product with the founding team, while leveraging Salesforce's world-class Data Cloud and security infrastructure to drive immediate global impact at scale.

Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. The economy moves fast but supply chains don’t, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise.

Agentforce for Supply Chain is reimagining the supply chain with an AI-powered platform for designing, automating, and orchestrating end-to-end business processes, with seamless collaboration through familiar channels like email. For Salesforce, this represents a major back-office growth opportunity, while also delivering innovations that enhance the existing front-office business. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase. As one user put it: “I’ve been waiting for this for 20 years.”

What you’ll do

As Principal Systems Engineer for the Agentforce for Supply Chain – Super Agent team, you will be the most senior technical individual contributor on the team's backend. You'll partner closely with engineering leadership to diagnose and prioritize foundational investments, and own the hardest problems that cut across team and domain boundaries.

The Super Agent backend manages complex, infinitely configurable state with equally complex state transitions and interfaces to teams across Agentforce Supply Chain. It was built with intentional startup speed that created tight coupling, limited observability, and reliability gaps now surfacing as customer adoption accelerates. You'll be tackling a wide front of system challenges simultaneously, from decomposing coupled domains to hardening state transitions to designing cross-team boundaries, while helping set the strategy for what to invest in and in what order.

You'll operate with wide autonomy while building alignment across engineering and product stakeholders, with ample opportunity for advancement by raising the bar on system quality, leveling up the engineers around you, and ultimately accelerating us toward our ambitious goals.

Responsibilities

  • Diagnose and prioritize the most impactful foundational investments across the Super Agent backend, partnering with engineering leadership to sequence them against product delivery

  • Own the hardest cross-cutting system problems, from architectural decomposition to cross-team interface design, going deep hands-on when the problem demands it

  • Build shared understanding of system health and risk across the team, helping establish the frameworks and observability needed to make investment decisions with confidence

  • Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep code healthy over time

  • Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality

  • Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team

  • Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.

  • Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

  • Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

  • Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance

Required Qualifications

  • 8+ years of industry experience as a backend engineer, building and operating large-scale, user-facing web applications

  • Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, fault tolerance, and scaling, with the ability to pick up new technologies quickly

  • Track record of diagnosing systemic architectural problems, prioritizing across competing technical investments, and driving solutions that deliver measurable improvement over time

  • Experience designing and improving interfaces and boundaries between teams and systems

  • Excellent writing skills and ability to lead real-time technical-design discussions

  • Experience working in tandem with Product Managers and Engineers to shape requirements, evaluate tradeoffs, and balance product delivery against foundational investment

  • Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration

  • A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.

  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows

  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Preferred Qualifications

  • B.S. in Computer Science (M.S. preferred)

  • Notable open-source work, patents, or published research

  • Mastery of Golang, Graphql, and PSQL

  • Exposure to the supply chain, logistics, or manufacturing industry (We will teach you otherwise!)

  • Familiarity with the Salesforce platform

  • Experience working within rapidly evolving systems, balancing early-stage ambiguity with scaling, reliability, and maintainability concerns

  • Experience with workflow engines

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