As a Deployment Strategist at Strala, you will bridge the gap between technical AI capabilities and enterprise client needs. You’ll lead high-stakes deployments, translating complex model performance into measurable business outcomes for insurance claims executives. This role requires technical fluency and executive presence to drive product adoption and client success from technical onboarding through final review.
Deployment Strategist at Strala
Strala is redefining the insurance industry by deploying powerful AI products directly into carrier workflows. As a Deployment Strategist, you’ll be the bridge between cutting-edge models and executive outcomes, leading high-stakes implementations in San Francisco. If you have a background in solutions or forward-deployed engineering and want to own the transformation of an enterprise sector, this is a unique chance to join an early-stage team making real-world impact.
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Location
San Francisco, United States
Compensation
Not Disclosed
Company
Strala
Role overview
Strala is an AI-native, full-stack claims partner for insurance carriers, TPAs, and MGAs. We reduce operational and indemnity costs using AI, statistical optimization, and expert claim handlers. Further, we also curate data from claims to improve transparency and assist the actuarial and underwriting work.Our team includes experts from Tier 1 insurance carriers, leading AI research labs at Oxford and Cambridge, and top firms such as DRW, Palantir, and Optiver. We are backed by Tier 1 institutional investors.
What you will do
- Lead end-to-end client implementations, managing workstreams with engineering and data teams to ensure technical milestones are met.
- Facilitate executive war rooms and success reviews to navigate complex challenges and maintain strategic alignment with insurance carrier leadership.
- Sequence dependencies and identify blockers to drive adoption, ensuring AI products deliver tangible, measurable value to the client’s bottom line.
Who this is a fit for
- Has 2–5 years of experience in a technical customer-facing role such as solutions engineering, forward deployed engineering, or implementation consulting.
- Possesses the technical fluency to read data models and earn credibility with data teams without needing to build production infrastructure yourself.
- Demonstrates a bias for action and thrives in ambiguous startup environments, having previously owned enterprise-level deployments with a high degree of autonomy.
Why this role is remarkable
- Work at the intersection of cutting-edge AI and the massive, data-rich insurance industry that is ripe for transformation.
- Own the entire client deployment lifecycle, serving as the face of Strala to enterprise leaders and technical data teams.
- Join an early-stage team where you can define the deployment playbook and directly influence the product roadmap based on client feedback.
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