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Deployment Strategist

SCALIS, San Francisco, CA, United States


Hey — Let's find your next opportunity Our client, an enterprise AI startup focused on the insurance industry, is seeking a Deployment Strategist to own and drive customer implementations from post‑sale through go‑live.

This is a highly cross‑functional, client‑facing role for someone who can operate as the bridge between engineering teams and large, complex enterprise customers. You'll be responsible for ensuring successful deployments, navigating stakeholder complexity, and delivering clear, measurable ROI.

They’re looking for a

technical athlete

—someone equally comfortable leading conversations with senior executives and diving into data models to solve real operational bottlenecks.

What you’ll do:

Own multiple client deployments end‑to‑end, acting as the primary point of contact for VP‑level stakeholders

Partner with client teams on architecture, data models, and workflow design in complex environments

Translate ambiguous client needs into clear execution plans for both internal teams and customers

Work closely with engineering to convert business requirements into technical solutions

Support late‑stage sales conversations by shaping scope and identifying expansion opportunities

What they’re looking for:

2–5 years of experience in both technical and client‑facing roles

Strong signal of technical ability (e.g., software engineering experience, internships, or hands‑on coding exposure)

Strong client‑facing experience (e.g., consulting, solutions engineering, or similar roles)

Experience at an early‑stage startup

Background in roles such as Solutions Engineer, Technical Account Manager, or Forward Deployed Engineer is a plus

Bachelor’s degree in Computer Science or a related technical field

Ability to translate complex customer needs into structured technical requirements

Strong communication skills with senior stakeholders (this role is highly client‑facing)

Structured thinker who thrives in ambiguity and can bring clarity to complex problems

This is an opportunity to work at the intersection of AI, enterprise deployment, and strategy—owning high‑impact implementations and shaping how a cutting‑edge product delivers value in the real world.

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