Top Tech Jobs & Startup Jobs

Leads customer experience operations across a global BPO network. Oversees daily service delivery, vendor accountability, performance optimization, workforce planning, access management, SOP adherence, and operational improvement plans. Analyzes contact center metrics such as SLA, AHT, occupancy, CSAT, and shrinkage to drive real-time corrective actions. Executes change management, supports automation and AI initiatives, and connects frontline operations with internal CX leadership.

Own risk analytics initiatives that improve repayment rates, optimize collections costs, monitor trends and emerging risks, and evaluate external agency performance. Partner with stakeholders and vendors to develop actionable insights, support strategic decisions, and apply AI tools to automate reporting and improve collections outcomes. The role requires advanced SQL and experience in credit risk, fraud risk, collections, or related lending analytics.

The Business Process Manager will map, model, document, and improve critical business processes using BPMN 2.0 and SAP Signavio. The role connects processes with risks, controls, data, and technology; maintains the process repository; develops process management standards; and supports continuous improvement through Lean, Six Sigma, and Kaizen. They will partner with cross-functional stakeholders, promote process literacy, manage change adoption, and explore AI-enabled process improvements.

Own Zip’s Expected Credit Loss and loss forecasting processes, including monthly production, quarterly parameter monitoring, methodology, scenario and variance analysis, back testing, controls, automation, and audit support. Analyze portfolio performance, delinquency, and write-offs to produce clear recommendations for Credit Risk and Finance stakeholders. Improve data governance, analytical code, forecast accuracy, and explainability while supporting bad debt initiatives and exploring AI-enabled improvements.

Own the go-to-market systems roadmap and lead the design, configuration, implementation, automation, reporting, and optimization of Salesforce and related GTM technologies. Translate business requirements into scalable solutions, coordinate cross-functional initiatives, improve data quality and operational efficiency, and drive adoption across Sales, Partnerships, Account Management, Marketing, Finance, Product, and Revenue Operations. Measure business impact through productivity gains, reduced manual work, improved reporting, and revenue lifecycle optimization.

Leads fraud investigations and disputes operations, including chargebacks and Regulation Z compliance. Develops operational strategy, manages managers and resources, improves fraud controls, recovery rates, service levels, and customer outcomes. Partners with Fraud Strategy, Compliance, Legal, Product, Finance, payment processors, banks, and vendors. Uses analytics and fraud detection technologies to monitor trends, mitigate losses, optimize processes, support audits, and report operational performance and risks to senior leadership.

Provide L2/3 operational support for enterprise IT platforms, endpoints and infrastructure. Engineer, maintain and automate Microsoft, Apple and cloud workplace technologies; monitor system health, resolve incidents, implement long-term fixes, document standards, run projects and mentor junior analysts while partnering with security and People Ops.

Lead and manage strategic partnerships at Zip to drive merchant and consumer growth, leveraging deep expertise in AI and technology platforms.

Design, build and scale production-ready AI capabilities and applications using Python and modern cloud tech. Collaborate with cross-functional teams to deliver secure, observable, and responsible AI solutions, mentor engineers, drive architecture decisions, and ensure operational excellence across AI platforms.

Lead the strategy and roadmap for Zip’s onboarding and underwriting platform. Drive customer acquisition, activation, loan approval optimization, fraud and credit risk mitigation, and integration of identity and credit data services. Partner with Engineering, Credit, Fraud, Risk, Compliance, Analytics, and Data Science teams to deliver scalable, compliant platform capabilities. Evaluate AI-enabled workflows and automation, using experimentation and business metrics to prioritize product initiatives.