LLM & AI Pipeline Engineering - Design, build, and maintain production-grade LLM integration pipelines , including retrieval-augmented generation (RAG), prompt engineering, output parsing, and chain orchestration.

Develop and operate AI features within Jeeves's core financial products: spend categorization, document extraction, anomaly detection, financial Q&A, and automated reconciliation.

Implement structured output validation, fallback handling, and confidence scoring to ensure AI decisions meet reliability standards for financial use cases.

Evaluate and integrate AI frameworks and tools (LangChain, LlamaIndex, OpenAI API, Anthropic API, HuggingFace, vector databases) and advocate for the right tool for the job.

Establish prompt versioning and evaluation practices to ensure AI outputs remain accurate and consistent as models and data evolve.

Retrieval & Vector Search - Design and maintain vector search pipelines using databases such as Pinecone, Weaviate, or pgvector to power semantic search and RAG-based features.

Build document ingestion and chunking pipelines for Jeeves's financial data , processing invoices, receipts, policy documents, and transaction records.

Optimize retrieval quality through embedding model selection, chunk strategy, metadata filtering, and re-ranking techniques.

ML Model Serving & Operations - Collaborate with data scientists to take trained ML models from experimental notebooks to production serving infrastructure.

Build and maintain model serving endpoints with appropriate latency SLOs, input validation, and output monitoring.

Implement model performance monitoring and data drift detection to ensure production models remain accurate over time.

Support model retraining workflows by designing clean data pipelines and feature engineering that can be continuously updated.

Backend Integration & Reliability - Integrate AI services cleanly with Jeeves's backend microservices , designing clear API contracts, circuit breakers, and graceful degradation patterns.

Write high-quality, testable backend code in Python or Go/Node.js to power AI-integrated features.

Instrument AI components with structured logging, distributed tracing, latency dashboards, and alerting to ensure operational visibility.

Collaboration & Growth - Partner with Product, Backend Engineering, and Data Science to define the AI roadmap and translate requirements into reliable systems.

Contribute to a culture of quality by writing design docs, reviewing peers' AI system designs, and sharing learnings openly.

Help grow the AI engineering practice at Jeeves by establishing patterns, tooling, and best practices that the broader team can build on.

XML job scraping automation by YubHub

Salesforce Engineer (GTM Systems)

Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $206K – $228K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Enterprise Platform team is responsible for equipping and enabling the Go To Market (GTM) as they seek to help customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our GTM team exists to help customers understand the transformational potential of OpenAI’s models, and we believe our own systems should reflect that same intelligence. We’re looking for a talented Salesforce Engineer to partner with our Financial Engineering, Finance Platform Technology, and Order-Management teams. This is an execution-heavy, builder role: you’ll take scoped technical outcomes, like new order-capture objects, fulfillment triggers, tax & billing integrations, SKU and entitlement governance—and turn them into well-tested, production-ready Salesforce configurations and custom code.

While you’ll still touch with OpenAI’s CPQ deployment when needed, the primary charter of this role is order-management logic, platform health, and compliance-ready automations that keep deals flowing cleanly from Opportunity close through invoicing and revenue recognition

In this role, you'll:

• Build order-to-cash solutions in Salesforce: Develop order-capture objects, fulfillment triggers, financial approval workflows, and entitlement logic that move deals cleanly from opportunity close through invoicing and revenue recognition.

• Engineer integrations with finance and billing systems: Connect Salesforce to ERP, tax engines, billing platforms, CLM, and e-signature tools to keep data accurate and auditable across the entire revenue lifecycle.

• Implement scoped technical outcomes: Take detailed requirements from the opportunity to order pod’s Lead Technologist and translate them into production-ready flows, validation rules, Platform Events, and Apex code where needed for scale or performance.

• Test, troubleshoot, and document: Own QA for new builds, resolve production issues quickly, and maintain clear documentation aligned with Copado-driven change-management, SOX/SOC2 controls, and deployment best practices.

• Partner cross-functionally: Collaborate daily with FinEng, Fin Systems, Order Management, Sales Ops, Billing, and Legal Ops to ensure SKUs, pricebooks, and workflows stay accurate, compliant, and resilient as our product catalog and policies evolve.

You might thrive in this role if you have:

• Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across opportunity, quote, order, and billing domains.

• Proven experience designing and implementing robust integrations using REST, Platform Events, and data sync patterns between Salesforce and external systems.

• QTC & finance-system experience: Familiarity with CPQ and order-management objects, product catalog governance, consumption- vs subscription-based pricing, tax & billing integrations, and data reconciliation with downstream ERPs.

• Execution and quality focus: Proven ability to build, test, and deploy scoped solutions in a regulated, change-controlled environment—keeping integrations intact and documentation audit-ready.

Collaborative problem-solver: Strong cross-functional communication skills and a track record of partnering with finance and operations teams to design resilient revenue workflows at scale.

• (Nice-to-have) Salesforce certifications (Platform Developer I/II, Appl

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $260K – $288K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Enterprise Platform team is responsible for enabling our Sales teams as they help customers deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our GTM team exists to help customers understand the transformational potential of OpenAI’s models, and we believe our own systems should reflect that same intelligence. We’re looking for a Salesforce Engineer to partner with Growth, Marketing, and Sales to build systems that power customer engagement, lifecycle activation, and pipeline creation—supported by strong data enrichment and orchestration across the GTM stack.

In this role, you'll:

• Build Lead-to-Opportunity solutions in Salesforce: Develop user experiences, automations, and data enrichment workflows that help capture, qualify, and route inbound and outbound demand efficiently—ensuring leads are enriched with accurate firmographic, technographic, and behavioral data and progressed through early pipeline stages with strong governance.

• Engineer integrations across the top-of-funnel stack: Connect Salesforce with marketing automation platforms, enrichment providers, sales engagement tools, routing engines, and event-driven data sources—supporting the orchestration of customer and account data across multiple upstream and downstream systems to enable accurate lead management and timely Marketing-to-Sales handoff.

• Test, troubleshoot, and document: Resolve production issues impacting lead capture, routing, enrichment, and sales engagement workflows while maintaining clear documentation aligned with scalable intake, change management, and deployment best practices for data movement across GTM systems.

You might thrive in this role if you have:

• Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across opportunity, quote, order, and billing domains.

• Proven experience designing and implementing robust integrations between Salesforce and external systems.

• Proven ability to build, test, document, and deploy scoped solutions using SDLC best practices.

• Strong cross-functional communication skills and a track record of partnering with GTM, Finance, and Operations teams to deliver complex requirements.

• Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.

Nice to Have

• Familiarity with lead management and sales engagement concepts including inbound lifecycle orchestration, outbound sequencing, enrichment-driven qualification, lead scoring and routing logic, and data reconciliation across marketing automation, sales engagement, and CRM systems to support accurate pipeline creation.

• Software development experience outside Salesforce.

• DevOps management.

• Salesforce Experience Cloud.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub