Anthropic12/04/2025
Technical Deployment Lead
RUB 22,917–31,667per month · before tax
MARKET
13,534 ₽median for this role
Tech Lead / Team Lead · 166 jobs with disclosed pay
5,250half of the offers: 9,771–18,1061.2 млн
Above market · above 88% of offers
Austin
Responsibilities
- 01Own the technical delivery plan for each engagement
- 02Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses
- 03Translate customer business objectives into a sequenced roadmap that FDEs execute against
- 04Lead technical discovery
- 05Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments
- 06Run day-to-day engineering execution
- 07Drive delivery across Anthropic and customer teams
- 08Keep progress unblocked and sequenced
- 09Make real-time trade-offs on scope and priority to protect the critical path
- 10Own product scoping for field engagements
- 11Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve
- 12Own the customer relationship throughout delivery
- 13Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders
- 14Own value measurement and ROI
- 15Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors
- 16Codify reusable delivery assets
- 17Build solution patterns, evaluation frameworks, and technical playbooks
- 18Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models
- 19Navigate enterprise and regulatory complexity
- 20Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics
- 21Manage scope and change
- 22Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed
- 23Run delivery operations
- 24Sprint ceremonies, milestone reviews, and progress reporting
- 25Travel to customer sites
- 26Build relationships, unblock delivery, and accelerate adoption
Requirements
- 01Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role
- 02Have delivered AI, ML, or LLM-based agentic solutions into production
- 03You understand solution patterns, integration approaches, and what breaks in real environments
- 04Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.)
- 05Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions
- 06You won't write production code, but you will own the technical direction of engagements alongside FDEs
- 07Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries
- 08Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments
- 09Thrive in ambiguity and bring structure where none exists
- 10Have a builder's mindset — you're here to create a function, not join one
- 11Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- 12Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- 13Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
What we offer
- 01Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
- 02Visa sponsorship: We do sponsor visas
- 03Travel to customer sites (25–50% expected)