Deployment Strategist

Role

The Deployment Strategist owns the post-sale journey for enterprise AI solutions, transforming high-level commitments into live, ROI-driven deployments. Reporting to the CEO, this is a high-visibility role with a pathway to Lead within 6–9 months.

Key Responsibilities

• Lead multiple client deployments from initial architectural design through go-live.
• Serve as primary point of contact for VP-level stakeholders and manage executive engagements.
• Design data models and workflows with client teams to convert messy real-world data into structured execution plans.
• Translate complex customer requirements into actionable specifications for internal engineering teams.
• Partner with Sales on late-stage deals to define scope and identify expansion opportunities.

Requirements

• 2–5 years of professional experience.
• Demonstrated blend of technical ability (e.g., CS degree, SWE internship, or proficiency in hands-on coding) and client-facing excellence (e.g., consulting or solutions engineering experience).
• Experience working at deployment-heavy firms or early-stage startups preferred.
• Strong consulting-grade communication, executive presence, and ability to simplify complex technical concepts.
• Proven comfort operating in high-velocity, meritocratic environments with extreme ownership.

Preferred Background

• Experience at firms like Palantir, Databricks, Scale AI, or similar deployment-focused organizations is highly preferred.
• Familiarity with enterprise AI implementation and claims processing domains is a plus.

Compensation & Location

• Salary: $130,000 - $190,000 per year, plus equity.
• Location: San Francisco, CA — in-person, 5 days per week.

Benefits

• 401(k) matching
• Health insurance
• Dental insurance
• Vision insurance
• Paid time off
• Parental leave
• Professional development assistance