Principal Backend Engineer, Agentforce for Supply Chain
Relha LLC, New York, NY, United States
Principal Backend Engineer, Agentforce for Supply Chain
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.
What you’ll do
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 tackle 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
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
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Any employee or potential 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, assessment of job performance, discipline, termination, and everything in between.
Compensation & Benefits
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
The typical base salary range for this position is $197,300 – $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 – $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
#J-18808-Ljbffr
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.
What you’ll do
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 tackle 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
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
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. Any employee or potential 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, assessment of job performance, discipline, termination, and everything in between.
Compensation & Benefits
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
The typical base salary range for this position is $197,300 – $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 – $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
#J-18808-Ljbffr