This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Responsibilities

• Backend Engineering - Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

Requirements

• 5+ years of professional backend engineering experience building and operating production systems.
• Fluent in English , professional fluency required for daily work with global teams in written and spoken contexts.
• Fluent in Spanish or Portuguese , required for collaboration with LATAM teammates, customers, and operational partners.
• Strong proficiency in at least one backend language: Go, Python, or Node.js/TypeScript.
• Experience designing and building RESTful APIs, microservices, and event-driven backend systems.
• Solid understanding of relational databases (PostgreSQL preferred): schema design, query optimization, and data modeling.
• Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Demonstrated ability to integrate third-party APIs reliably in production , including error handling, retry logic, and observability.
• Experience working on globally distributed teams across time zones and regions.
• Comfortable using AI tools as part of everyday engineering work , integrating LLM API outputs into backend services and using AI coding assistants fluently.

Preferred Qualifications

• Experience in fintech, financial services, payments, or a regulated industry , familiarity with ledger systems, payment rails, or financial compliance (KYC/AML, PCI-DSS) is a strong plus.
• Prior experience at a startup or high-growth scale-up, comfortable building in ambiguity without heavy process support.
• Experience with multi-currency systems or cross-border payment processing.
• Familiarity with message queue systems (Kafka, RabbitMQ) and event-driven architecture.
• Global work experience , prior roles at companies operating across multiple countries and regulatory environments.
• Fluency in both Spanish and Portuguese.

XML job scraping automation by YubHub

This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Backend Engineering

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

XML job scraping automation by YubHub

This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

As a Senior Backend Engineer, you will:

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.

• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.

• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.

• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.

• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.

• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.

• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.

• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.

• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.

• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.

• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.

• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.

• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

XML job scraping automation by YubHub

This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Backend Engineering

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

XML job scraping automation by YubHub

We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients. Think banking-as-a-service, but for crypto custody, trading, staking, and more.

This is an opportunity to grow as an engineer while contributing to a platform that will power the next generation of institutional digital asset adoption. You'll work at the intersection of cutting-edge crypto technology and the rigorous standards required by regulated financial services.

As an engineer on this team, you will contribute to the technical direction of our infrastructure services platform, collaborate with experienced engineers, and help build critical systems. You'll own features from development through deployment and deepen your expertise in financial infrastructure.

Technical Skills:

• Develop and maintain infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Contribute to virtual accounting layers, API integrations, and multi-tenant platform architectures with guidance from senior engineers
• Write clear, concise, tested code and participate in code reviews to improve engineering practices
• Build understanding of security, reliability, and testing best practices in a regulated environment

Complexity and Impact of Work:

• Take ownership of the full lifecycle of features,from development through deployment,with increasing autonomy over time
• Apply problem-solving skills to troubleshoot issues, document technical improvements, and contribute to solutions
• Contribute to cross-functional projects and collaborate with adjacent teams to deliver on platform goals
• Participate in on-call rotation to provide product support for the software and infrastructure the team owns

Organizational Knowledge:

• Understand how Anchorage's company priorities relate to your area of work and clearly communicate the 'why' behind the work
• Work closely with compliance, legal, and security teams to understand regulatory requirements affecting the platform
• Participate in the hiring process through referrals, conducting interviews, or attending recruiting events

Communication and Influence:

• Communicate clearly and proactively share updates that impact colleagues, managers, and leads
• Contribute actively to team discussions and problem-solving efforts
• Collaborate with your team and adjacent teams to solve problems, and assist or teach other team members when possible

You may be a fit for this role if you have:

• 2-5 years of professional experience building backend services and distributed systems
• Experience contributing to customer-facing APIs or multi-tenant platform architectures
• Familiarity with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of writing automated tests alongside your features and supporting production systems
• Experience participating in on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Experience with Kubernetes and container orchestration
• Exposure to ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Interest in or exposure to the cryptocurrency or digital assets industry

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

XML job scraping automation by YubHub

We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients.

This is a greenfield opportunity to architect and build a platform that will power the next generation of institutional digital asset adoption.

As an engineer on this team, you will drive the technical direction of our infrastructure services platform, mentor other engineers, and help shape the product roadmap.

Technical Skills:

• Build secure, scalable infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Design and implement virtual accounting layers, API integrations, and multi-tenant platform architectures
• Drive technical excellence through code reviews, design specs, and mentorship across the engineering organization
• Foster an efficient testing culture with emphasis on security, reliability, and minimizing tech debt in a regulated environment

Complexity and Impact of Work:

• Lead complex cross-functional projects spanning custody, trading, compliance, and client integration
• Break down large initiatives into well-scoped deliverables; accurately estimate multi-person, multi-quarter projects
• Own the end-to-end lifecycle of platform features,from architecture through production support and on-call rotation
• Find the right balance between shipping velocity and the perfection required for regulated financial infrastructure

Organizational Knowledge:

• Collaborate across product lines and with enterprise clients to understand and deliver on their infrastructure needs
• Work closely with compliance, legal, and security teams to ensure platform meets regulatory requirements
• Contribute to scaling the team through hiring, onboarding, and knowledge sharing

Communication and Influence:

• Influence architecture decisions and product roadmap,have a seat at the table with leadership
• Mentor and guide engineers on the team; help others connect their work to Anchorage's strategic goals
• Communicate effectively with external stakeholders, including enterprise clients and partners

You may be a fit for this role if you have:

• 8+ years of professional experience building backend services and distributed systems
• Experience designing and delivering customer-facing APIs and multi-tenant platform architectures
• Experience with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of building automated tests alongside your features and maintaining production systems over time
• Experience performing on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value over 'cool tech'

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Professional experience with Kubernetes and container orchestration
• Experience building ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management, API keys)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Background in the cryptocurrency or digital assets industry
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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This is a rare opportunity to shape a high-impact platform product at the intersection of regulated finance, crypto-native infrastructure, and developer experience , backed by the credibility and scale of Anchorage Digital, trusted by the world's largest financial institutions.

Technical Skills:

• Drive the detailed prioritization of the CaaS platform roadmap, balancing foundational infrastructure work, partner-facing features, compliance requirements, and developer experience.
• Build comprehensive go-to-market strategy and execution, including defining success metrics, tracking adoption KPIs, and iterating based on partner feedback and data.
• Build deep understanding of system architecture, including multi-tenant platform design, API gateway patterns, ledger systems, and event-driven architectures, and communicate clear requirements to engineering.

Complexity and Impact of Work:

• Lead and influence cross-functional teams across Product, Engineering, Design, Compliance, Legal, Security, and GTM while maintaining strong stakeholder relationships.
• Manage independent decision-making through ambiguity inherent in scaling a platform and take full ownership of the CaaS product line and its growth.
• Demonstrate product leadership that elevates team performance, attracts top talent, and establishes Anchorage as the definitive infrastructure-as-a-service provider in digital assets.

Organizational Knowledge:

• Deliver company objectives through strategic product decisions that unlock new partner revenue while strengthening Anchorage's regulatory moat.
• Actively contribute to organizational strategy by identifying how CaaS capabilities can also benefit direct institutional clients.

Communication and Influence:

• Effectively influence and motivate across all levels of the organization, this role requires alignment from founders through to individual engineers.
• Serve as the internal and external evangelist for the CaaS platform, presenting to partners, at industry events, and to Anchorage leadership.
• Act as a trusted thought partner to senior leadership on platform strategy, competitive positioning, and market opportunity.

You may be a fit for this role if you have:

• 7+ years of product management experience, with significant experience building B2B2C, payment or platform/infrastructure products.
• Proven track record building 0-to-1 platform products , ideally in fintech, banking-as-a-service, payments, or crypto infrastructure.
• Deep understanding of platform business models , including API-first products, developer ecosystems, multi-tenant architectures, and partner enablement.
• Experience with regulated financial services , you understand the interplay between product velocity and compliance requirements (AML/KYC, bank regulations, money transmission).
• Strong technical fluency , you can go deep on API design, system architecture, ledger systems, and data models, and you earn credibility with engineering teams.
• Experience defining and shipping compliance-embedded products , where regulatory requirements are not a bolt-on but a core part of the product value proposition.
• You self-describe as some combination of the following: creative, humble, ambitious, detail oriented, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious.

Although not a requirement, bonus points if you have:

• Built or led a banking-as-a-service, custody-as-a-service, or payments-as-a-service platform.
• Direct experience with crypto custody, digital asset wallets, or blockchain infrastructure.
• Worked on multi-jurisdictional product launches involving complex regulatory coordination.
• Background in engineering, equipping you with the acumen to effectively collaborate with technical teams.
• Experience with white-label or embedded finance products.
• Seen and were emotionally moved by the musical Hamilton :)

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You'll own the delivery, quality, and operational excellence of critical systems while developing and mentoring a high-performing engineering team. This is an opportunity to shape engineering strategy, influence product direction, and build a team that operates at the intersection of cutting-edge crypto technology and the rigorous standards required by regulated financial services.

Technical Skills:

• Exhibit broad expertise in infrastructure systems, distributed computing, and platform architecture,serving as an internal reference and recognised leader in your domain
• Use technical knowledge to contribute to Anchorage's objectives, achieving goals in creative and effective ways while ensuring the team upholds a high technical bar
• Guide the team on engineering best practices, system design, and quality standards for secure, scalable infrastructure in a regulated environment

Complexity and Impact of Work:

• Lead and function effectively in the face of uncertainty and ambiguity, working on complex issues where problems are not clearly defined
• Translate business strategy into functional and actionable engineering plans; direct planning, staffing, budgeting, and execution of high-priority initiatives
• Make final decisions on administrative and operational matters with a long-term view, ensuring budgets and timelines align with both Anchorage and Engineering objectives
• Be accountable for the team's delivery, quality, and operational excellence,including product and platform features from design through production

Organizational Knowledge:

• Maintain deep knowledge of Anchorage's strategy and work actively with cross-functional groups to identify new ways to deliver on it
• Participate with other senior managers to establish strategic plans and objectives, promoting a shared understanding of Anchorage's needs
• Engage with peers to develop methods, techniques, and evaluation criteria for projects and people that have company-wide impact

Communication and Influence:

• Communicate complex issues clearly and credibly across a wide range of audiences; articulate a clear strategy for the team with high-quality output
• Focus on providing thoughtful leadership on broader organisation programs and projects, understanding different business impacts
• Build effective relationships with stakeholders including clients, cross-functional partners, and external partners; create formal networks and coordinate across groups
• Credit individual contributions and acknowledge team accomplishments

Team Leadership:

• Take independent responsibility for all aspects of people management with a proven track record of successfully leading people, teams, and projects in different contexts
• Provide clear directions and priorities; work with team members to define what success looks like so the positive impact for clients is clear
• Ensure knowledge is shared amongst the team, avoiding single points of failure
• Plan and execute changes to team staffing and succession planning in service of company goals, including identifying gaps, defining roles, and managing appropriate team sizes
• Clarify ownership and decision-making for the team; delegate tactical decisions while maintaining responsibility as a tiebreaker

You may be a fit for this role if you have:

• 12+ years of experience in software engineering, with significant experience managing engineering teams
• Proven track record of building and leading high-performing teams through multiple product cycles and organisational contexts
• Deep technical expertise in distributed systems, cloud infrastructure, and platform engineering (we use GCP, but experience with other cloud providers is sufficient)
• Experience owning delivery, quality, and operational excellence for production systems in a regulated or financial services environment
• Strong ability to translate ambiguous business requirements into clear engineering plans and priorities
• Experience with budgeting, staffing, and resource planning for engineering teams
• A demonstrated approach to developing talent,coaching, mentoring, and growing engineers at all levels
• Excellent communication skills with the ability to influence senior leadership and collaborate effectively across functions

Although not a requirement, bonus points if:

• Experience building ledger systems, virtual accounting layers, custody infrastructure, or similar financial technology platforms
• Background managing teams in fintech, banking-as-a-service, or other regulated financial environments
• Experience with on-call rotations, incident management, and driving operational excellence
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Background in the cryptocurrency or digital assets industry
• Experience managing other managers or leading a group of teams
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

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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.

About the Team

The Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI’s finance-critical operations.

About the Role

As a Revenue Manager, Financial Risk Management (FRM), you will play a key role in helping scale OpenAI’s financial risk and control operating model across revenue and monetization streams. You’ll work closely with the Senior Revenue Manager, Finance partners, and cross-functional operational teams to support readiness, risk assessment, control implementation, and documentation for core revenue processes — including subscription, commerce, and Ads monetization.

In this role, you will:

• Support the design, implementation, and documentation of revenue-related controls across Order-to-Cash, billing, invoicing, usage metering, and Ads monetization lifecycles.

• Assist in readiness assessments for new and evolving revenue processes, including discovery of risks, gaps, and opportunities to strengthen control design.

• Maintain and update control documentation (RCMs, narratives, test procedures, evidence standards) to ensure artifacts are accurate, clear, and audit-ready.

• Partner with cross-functional stakeholders (Product, Engineering, Revenue Operations, Data, Finance Platforms) to translate control requirements into practical process and system actions.

• Help monitor control performance, track remediation efforts, and escalate issues with clear context, root-cause analysis, and proposed action paths.

• Support preparation of leadership-ready summaries of revenue risks, control health, progress against plans, and emerging concerns.

• Execute detailed walkthroughs, data inquiries, and process reviews to support control effectiveness and readiness for internal and external audit activities.

You might thrive in this role if you have:

• A Bachelor’s degree in Accounting, Finance, Business Administration, or related field (CPA/CIA a plus).

• 6+ years of experience in internal controls, SOX/ICFR, audit, financial process risk, or financial operations — ideally within high-growth, tech, or SaaS environments.

• Exposure to revenue processes such as Order-to-Cash, billing systems, subscription/usage monetization, and/or Ads measurement and billing.

• A solid understanding of control design fundamentals (risk identification, control objectives, preventive vs. detective, evidence standards) and how they apply in revenue ecosystems.

• Strong analytical skills with comfort working in cross-system environments and reconciling data across operational and financial sources.

• Excellent interpersonal skills and the ability to collaborate with operational partners, clearly explain control expectations, and influence outcomes without direct authority.

• Ability to manage multiple priorities, handle ambiguity, and follow through on detailed work with accuracy and urgency.

• Familiarity with ERP/subledger systems and GRC tooling (e.g., Oracle/NetSuite, Workday, AuditBoard, Workiva) is a plus.

• Enthusiasm for building processes and artifacts that are clear, durable, and scalable, rather than just compliant.

About OpenAI

OpenAI is an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

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