Lead Deployment Engineer

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API.  Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals.

As a remote-first company, we’re focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users.

As a Lead Deployment Engineer at Array, you will lead complex, enterprise-scale SaaS implementations in a post-sales capacity, ensuring that strategic, technical, and commercial objectives are fully realized in client delivery. You will operate as a senior individual contributor, partnering cross-functionally to influence deployment strategy, drive execution excellence, and scale delivery capabilities. This role reports to the Deployment Engineering Manager. 

• Lead 8-12 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.