Top Tech Jobs & Startup Jobs

Design and implement software solutions for the Product Consumer team, including microservices, web applications, APIs, asynchronous jobs, production debugging, and risk mitigation. Collaborate with engineering, product, analytics, and operations teams to deliver products iteratively. Oversee projects end-to-end, mentor junior developers, evaluate technical approaches, and help shape team priorities and initiatives.

Manages loan-processing call center supervisors and representatives across multiple shifts. Oversees performance management, hiring, coaching, career development, disciplinary actions, regulatory compliance, and departmental productivity. Evaluates management reports to improve operational efficiency and achieve team, departmental, customer service, and P&L objectives. Requires extensive call center management experience and financial or lending industry knowledge.

Own Enova's paid search and affiliate marketing strategy for Small Business acquisition. Set channel roadmaps, manage budgets, bids, partners, testing, and optimization while connecting performance to profitability and P&L outcomes. Use AI for research, analysis, creative, reporting, and decision support. Partner with analytics, finance, creative, product marketing, legal, and compliance teams to maintain measurement accuracy, regulatory compliance, and profitable growth.

Manage high-volume inbound and outbound calls with customers holding overdue loan accounts. Negotiate payment arrangements, resolve difficult payment-related concerns, explain financial resolution options, and accurately document interactions in the company database. The role requires strong communication, empathy, conflict resolution, negotiation, self-management, and problem-solving skills in a remote environment.

Lead and develop a Salesforce engineering and administration team, oversee delivery planning and prioritization, align platform investments with business strategy, manage integrations, guide architectural decisions, and ensure operational excellence across releases, design reviews, and incident retrospectives.

Leads internal and corporate communications programs, including all-hands meetings, employee recognition, volunteer initiatives, executive communications, and enterprise-wide messaging. Partners with cross-functional stakeholders to develop communication strategies, drafts polished executive-ready materials, manages multiple projects independently, and anticipates stakeholder needs, communication risks, and operational challenges. Supports employee engagement and communications initiatives in a potentially regulated, public-company environment.

Leads commercial collections litigation recovery strategy, directs outside counsel and collection agencies, ensures legal and regulatory compliance, manages partner performance, and develops recovery initiatives for small business loan portfolios. The role handles escalated litigation and post-judgment remedies, collaborates with Collections, Fraud, Legal, and Analytics, supports training and quality control, and delivers performance reporting and process improvements.

Supervise an outbound collections team by managing performance metrics, quality assurance, coaching, training, and employee engagement. Conduct meetings and performance reviews, identify trends, recommend productivity improvements, and support hiring and onboarding. The role requires leadership experience, financial or loan operations knowledge, strong communication skills, and the ability to manage tense situations effectively.

Process high-volume loan applications while meeting quality and compliance standards. Communicate with customers through inbound and outbound calls, email, and fax to verify information, request documentation, resolve issues, and maintain accurate account records. The role includes a three-week training program and requires strong communication, empathy, adaptability, multitasking, technology comfort, and the ability to work remotely.

Develop, deploy, and monitor fraud detection models and pattern-recognition pipelines using Python, SQL, machine learning, and large transactional datasets. Partner with Fraud Operations to refine models, reduce false positives and negatives, analyze emerging fraud trends, and improve underwriting and verification strategies. Communicate insights to senior stakeholders, apply AI in production, and lead team members and initiatives.