Technical Deployment Lead

October 7, 2026

Hybrid

Lead

Austin, Boston, New York City, San Francisco, Seattle

Worth knowing

Mandatory office attendance

Description

Technical Deployment Lead on the Claude Agentic Solutions team, leading delivery of custom AI agent solutions for enterprise customers in highly regulated industries. Owns high-value engagements end-to-end, from SOW through production deployment, working alongside Forward Deployed Engineers. This is a founding-team role focused on building technical playbooks, processes and repeatable patterns, combining architecture-level conversations with executive stakeholder management.

Responsibilities

Own the technical delivery plan for each engagement, structuring SOWs with scope, milestones, dependencies, success criteria and value hypotheses
Lead technical discovery: map customer workflows, identify constraints, define MVP scope and shape the solution architecture
Run day-to-day engineering execution across company and customer teams, keeping progress unblocked and sequenced
Own product scoping: define the MVP, author requirements documentation, prioritize the engineering backlog and manage scope
Own the customer relationship throughout delivery, leading executive briefings and stakeholder communications with technical leads and procurement
Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement
Codify reusable delivery assets: build solution patterns, evaluation frameworks and technical playbooks
Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes and compliance requirements
Manage scope and change: negotiate contract modifications, identify risks early and escalate with clear context
Run delivery operations including sprint ceremonies, milestone reviews and progress reporting
Travel to customer sites 25–50% to build relationships, unblock delivery and accelerate adoption

Requirements

Led AI/ML engagements or deployments as a founder, data scientist, engineer, researcher or in a consulting role
Delivered AI, ML or LLM-based agentic solutions into production, understanding integration approaches and what breaks in real environments
Experience in a specialized vertical such as financial services, life sciences, pharmaceutical, retail, mining or agriculture
Ability to lead architecture discussions with engineering stakeholders, evaluate technical trade-offs and pressure-test technical decisions
Track record delivering complex, high-stakes technical projects for enterprise clients across multiple workstreams in regulated industries
Executive presence — polished, credible and comfortable representing the company to senior leaders in high-stakes environments
Thrives in ambiguity and brings structure where none exists
Builder's mindset — creating a function rather than joining one

Conditions

Location-based hybrid policy: staff expected in one of the offices at least 25% of the time
Visa sponsorship available for candidates receiving an offer
Competitive compensation and benefits with optional equity donation matching
Generous vacation and parental leave, flexible working hours
Minimum education: Bachelor's degree or an equivalent combination of education, training and experience

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