Jobs at Array

Owns Array’s payment operations function, including client onboarding and lifecycle management, transaction monitoring, settlement, reconciliation, disputes, incidents, escalations, and partner relationships. Builds scalable processes, controls, reporting, and audit evidence while partnering with Product, Engineering, Finance, Legal, Compliance, and Risk. Leads payment operations teams, supports new payment capabilities, manages processors and sponsor banks, and improves reliability, efficiency, and regulatory compliance.

Manage cross-functional projects across the organization, with likely emphasis on revenue operations for enterprise sales teams. Coordinate stakeholders and vendors, track deliverables, remove roadblocks, monitor progress, support executives, and document technical issues and resolutions. The role requires strong organization, communication, independent execution, data and reporting skills, and effective use of AI tools, SQL, and Excel in a remote-first SaaS environment.

Lead complex enterprise SaaS deployments in a post-sales capacity, owning implementation strategy, integrations, timelines, quality, commercial outcomes, and stakeholder alignment. Improve deployment frameworks through automation, tooling, documentation, and scalable playbooks. Partner with Engineering, Product, Sales, and Customer Success to influence roadmaps, manage risks, forecast capacity, and support customer lifecycle delivery. Apply AI to accelerate solution design and continuous deployment improvement.

Coordinates cross-functional projects from launch through completion, identifies stakeholders, tracks deliverables and vendors, monitors progress, organizes meetings, supports executives and project leads, and documents technical issues and resolutions. The role works across departments including engineering, product, marketing, and people operations while using AI tools to improve efficiency and execution.

Manage and grow a portfolio of strategic B2B client accounts, overseeing deployment, launch, optimization, expansion, and renewal. Build trusted relationships, identify revenue opportunities, proactively resolve issues, and develop tailored solutions with Product, Marketing, and Deployment teams. The role requires understanding financial industry trends and client needs while using AI tools to accelerate work.

The Account Executive will develop growth strategies, build client relationships, and promote sales of consumer credit solutions to financial institutions, focusing on client satisfaction.

The Enterprise Account Executive will drive new business sales, build enterprise relationships, and optimize processes while leveraging AI tools.

Manage a portfolio of clients, identify new business opportunities, build relationships, and drive product adoption while achieving sales targets.

The Senior Svelte Software Engineer will develop high-quality, scalable Svelte web components, collaborate on design systems, and ensure component reliability.

The Data Analyst will support business needs through technical problem-solving and data analysis, focusing on improving user experience and conversion rates in a B2B2C environment.

The Senior Software Engineer will lead teams to build secure, high-scale cloud applications, ensuring system reliability and delivering software solutions.

Lead high-impact, cross-product engineering initiatives as the top individual contributor. Define success, simplify complex systems, shape technical strategy, coach senior engineers, and drive measurable outcomes. Stay hands-on with code and production systems while enabling teams and using AI tools to accelerate delivery.

The Partnerships Account Executive will develop and execute channel partnership strategies, manage relationships with digital banking partners, and own the sales cycle, focusing on driving revenue through fintech collaborations.

The FP&A Analyst will drive financial modeling, forecasting, and strategic analysis to support a high-growth fintech business, partnering with multiple teams and focusing on M&A activities.

As a Senior AI Product Manager, you will optimize product experiences, improve conversion rates, collaborate with teams, and leverage data insights to enhance user engagement.

Lead enterprise-scale, post-sales SaaS implementations: own project strategy, integrations (API/SDK/cloud), drive automation and tooling, partner with Product and Engineering, institutionalize best practices, forecast capacity, and integrate AI to accelerate deployments and revenue outcomes.