Lead Deployment Engineer

Lead 5-10 enterprise deployments quarterly, driving $10M+ in eARR with ownership of quality, timelines, and outcomes.

Define end-to-end implementation strategy, managing complex integrations, stakeholder alignment, and risk.

Optimize deployment frameworks by identifying inefficiencies and implementing scalable, automated solutions and tooling.

Strategically partner with Engineering and Product, influencing the roadmap with client insights and technical feedback.

Lead cross-functional execution across Sales, CS, Product, and Engineering for seamless customer lifecycle delivery.

Institutionalize best practices via scalable documentation, playbooks, and knowledge systems to elevate team consistency.

Support organizational scalability by forecasting capacity, mitigating pipeline constraints, and reducing future eARR risk.

Leverage AI as a core layer for accelerating solution design, implementation, and continuous deployment improvement.

7–10+ years in deployment, implementation, solutions engineering, or systems architecture (SaaS/enterprise software).

Led complex, multi-stakeholder enterprise implementations, including API, SDK, and cloud integrations.

Deep technical skills; credibly engages engineering while translating business needs into scalable solutions.

Drove operational excellence via process, automation, and tooling, measurably improving deployment velocity and quality.

Influenced senior cross-functional teams (Product, Engineering) to shape decisions and align efforts.

Ability to independently scope, prioritize, and execute in ambiguous, high-growth environments; expected rapid ownership and impact within 60 days.

Clear understanding of deployment's commercial impact on revenue and retention.

Strong viewpoint on AI as a fundamental shift, habitually integrating it into workflows for leverage and output.