Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We're seeking an experienced Order Management and Quote-to-Cash professional to lead our third-party marketplace operations and drive automation across the order lifecycle. In this pivotal role, you'll own the operational backbone of how our products are transacted through cloud marketplaces, scale the systems and processes that support new product introductions, and solve complex, cross-functional challenges that sit at the intersection of finance, engineering, and go-to-market. You'll partner across the organization—and with external marketplace teams—to build financial infrastructure that scales with a rapidly growing business. If you're passionate about making a significant impact at an innovative company at the forefront of AI development, join us in our mission to build cutting-edge, safe AI systems.
Key responsibilitiesThird-Party Marketplace Operations- Own end-to-end order management operations across third-party cloud marketplaces (AWS, GCP, Azure), ensuring accuracy, completeness, and timeliness of provisioning and transactions
- Manage private offer creation, pricing configuration, and offer lifecycle across marketplace platforms, resolving non-standard pricing structures and contract modifications
- Serve as the operational point of contact with external marketplace teams, coordinating onboarding, integration requirements, and platform-specific processes
- Build SOX controls over marketplace transactions, disbursements, and reporting against internal systems of record
- Identify, design, and implement automation across the quote-to-cash lifecycle to enhance efficiency, scalability, and accuracy as transaction volume grows
- Develop and track Order Management metrics that surface bottlenecks and support strategic decision-making
- Partner with vendors to optimize order management and billing systems, evaluate new features, and implement scalable solutions
- Lead operational readiness for new product and model launches across partner channels, ensuring order management, provisioning, and pricing infrastructure is in place ahead of go-live
- Conduct comprehensive User Acceptance Testing (UAT) for new launches and influence product introduction processes by providing expert guidance on order management and marketplace implications
- Translate new commercial models and packaging into operational and system requirements across marketplace surfaces
- Cultivate strategic partnerships across the quote-to-cash ecosystem, including Go-to-Market Systems, Deal Desk, Legal, Tax, and Finance
- Partner closely with Billing Engineering teams to define requirements, prioritize roadmap needs, and ensure systems support marketplace and consumption-based transactions
- Collaborate with external marketplace teams to align on platform capabilities, integration timelines, and operational escalations
- Work alongside Revenue Accounting and adjacent operations pillars to ensure transactions are recorded accurately and in compliance with revenue recognition requirements
- Establish and maintain robust controls and segregation of duties within order management and marketplace operations
- Support audit requirements by preparing documentation and addressing inquiries
- Develop and maintain documentation for team processes, procedures, and system configurations
- Bachelor's degree in Accounting, Finance, Business, or a related field
- Expert understanding of quote-to-cash processes for SaaS, covering both subscription and consumption-based business models across B2B products
- Hands-on experience with third-party marketplace integrations (AWS Marketplace, GCP Marketplace, Azure Marketplace), including private offers and metered/consumption billing
- Extensive experience with contracting systems, billing platforms, and ERP systems (e.g., Salesforce, Stripe, NetSuite, Oracle, Workday Financial, Zuora)
- Proven track record leading large-scale strategic and automation initiatives end-to-end
- Demonstrated ability to build relationships with diverse stakeholders—including technical and external partners—and influence without direct authority
- Outstanding communication and interpersonal skills
- 10+ years of progressive experience in Order Management, Quote-to-Cash, or Billing Operations within high-growth SaaS/technology companies, including experience in a reviewer or lead role
- Working knowledge of ASC 606 revenue recognition principles
- Experience with third-party cloud marketplaces (AWS, GCP, Azure)
- Experience partnering directly with engineering teams to scope and prioritize systems work
- Data-driven approach to process design; SQL and database experience a plus
- Exceptional organizational skills with meticulous attention to detail
- Adaptability to thrive in fast-paced, ambiguous environments
- Proven ability to provide guidance, mentorship, and project leadership to team members and contractors
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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