Senior Deployment Engineer

<p>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.</p> <p>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.</p> <p>As a Senior Engineer (Deployment) 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 Director of Deployment. </p> <p><strong>You Will:</strong></p> <ul> <li>Lead strategic deployments quarterly, driving eARR with ownership of quality, timelines, and outcomes.</li> <li>Project Manage end-to-end implementation strategy, managing complex integrations, stakeholder alignment, and risk.</li> <li>Optimize deployment frameworks by identifying inefficiencies and implementing scalable, automated solutions and tooling.</li> <li>Partner with Engineering and Product, influencing the roadmap with client insights and technical feedback.</li> <li>Lead cross-functional execution across Sales, CS, Product, and Engineering for seamless customer lifecycle delivery.</li> <li>Institutionalize best practices via scalable documentation, playbooks, and knowledge systems to elevate team consistency.</li> <li>Support organizational scalability by forecasting capacity, mitigating pipeline constraints, and reducing future eARR risk.</li> <li>Leverage AI as a core layer for accelerating solution design, implementation, and continuous deployment improvement.</li> </ul> <p><strong>You Have:</strong></p> <ul> <li>5+ years in deployment, implementation, solutions engineering, or systems architecture (SaaS/enterprise software).</li> <li>Led complex, multi-stakeholder enterprise implementations, including API, SDK, and cloud integrations.</li> <li>Deep technical skills; credibly engages engineering while translating business needs into scalable solutions.</li> <li>Drove operational excellence via process, automation, and tooling, measurably improving deployment velocity and quality.</li> <li>Influenced senior cross-functional teams (Product, Engineering) to shape decisions and align efforts.</li> <li>Ability to independently scope, prioritize, and execute in ambiguous, high-growth environments; expected rapid ownership and impact within 60 days.</li> <li>Clear understanding of deployment's commercial impact on revenue and retention.</li> <li>Strong viewpoint on AI as a fundamental shift, habitually integrating it into workflows for leverage and output.</li> </ul> <p><strong>Pay transparency: </strong>$115,000+ for base salary, depending on experience. Full time employee compensation includes an Incentive Stock Option (ISO) grant, subject to Board approval.</p> <p><strong>Expected interview process: </strong>Recruiter Conversation - Hiring Manager Interview - Loo