Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
GCP @ 2
Leadership @ 3
Scoping @ 3
AWS @ 2
Azure @ 2
Communication @ 3
Product Management @ 3
Audit @ 3
Compliance @ 3
Salesforce @ 2
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
About the role
Anthropic's enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams.
We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress.
Responsibilities
- Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership
- Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal
- Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit
- Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them
Requirements
- 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments
- Technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom
- Experience running compliance or audit-readiness programs (SOX, SOC, or similar) and understanding how control design, evidence collection, and engineering delivery fit together
- Ability to build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them
- Comfortable shaping operating models when the model itself is still being defined
Strong candidates may also have
- Background in revenue operations, order-to-cash, billing platform, or finance systems product management
- Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure)
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or 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; if we make you an offer, Anthropic will make reasonable efforts to obtain a visa and retains an immigration lawyer to help with this.
Compensation
- Annual Salary: $290,000 - $365,000 USD
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.
How we're different
We believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts, value impact, and emphasize collaboration and communication across the organization.