Top Tech Jobs & Startup Jobs

Own onboarding fraud and identity decisioning through model development, validation, monitoring, experimentation, vendor evaluation, and policy improvements. Analyze application, behavioral, device, bureau, and network signals to detect identity theft, synthetic identity, and application abuse. Partner with Fraud Operations, Product, Engineering, Compliance, and Credit Strategy to productionize controls, investigate emerging patterns, measure business impact, and reduce fraud losses while minimizing false positives and applicant friction.

Leads technical discovery, solution design, implementation, and launch of enterprise payment and card program integrations. Serves as a strategic technical partner to enterprise clients, translates requirements into scalable solutions, troubleshoots integrations, influences product roadmaps, and improves partner delivery through automation, tooling, documentation, and repeatable processes.

Designs and operates scalable data infrastructure for high-volume batch and real-time workloads. Builds partner data-sharing platforms and identity graph foundations while improving data quality, lineage, observability, reliability, governance, privacy, and access control. Develops reusable tooling and frameworks for internal and external data consumers, supports secure and auditable data exchange, and partners cross-functionally on platform architecture, incident response, monitoring, and capacity planning.

Own end-to-end partnership deal execution from discovery through contract signing. Lead discovery, RFP responses, presentations, financial modeling, proposals, and product vision development while coordinating Product, Marketing, Finance, Risk, and Launch Operations. Build scalable BD infrastructure, including CRM structure, pipeline tracking, deal systems, and reusable pitch assets. Support executive decision-making, maintain high-quality deliverables, surface blockers, and improve team efficiency.

Lead go-to-market launch strategy and partner marketing for co-branded card partners. Own launch planning, cross-functional execution, creative signoff, partner education, performance measurement, and development of repeatable launch playbooks to drive partner-driven acquisition and engagement.

As a Staff Data Engineer, you'll architect a scalable data platform, optimize data pipelines, establish data standards, and mentor teams to drive technical excellence.

Owner of day-to-day commercial partnership operations: coordinate workstreams, analyze partnership P&L and metrics, prepare executive materials, identify data issues, drive cross-functional execution, and build processes to improve applications and contribution profit.

Owns end-to-end change management and operational readiness for Customer Operations, from intake through implementation. Builds systems of record, change-sizing processes, training and communications workflows, and launch mechanisms. Partners with Product, Engineering, Operations, and partner teams to ensure timely execution. Uses data, automation, and AI-assisted workflows to identify implementation gaps and scale operations. Leads one direct report and drives cross-functional accountability in a fast-growing fintech environment.

Build and maintain Webflow websites, landing pages, microsites, emails, and campaign experiences for partner brands. Own front-end implementation, tracking infrastructure, UTM and attribution QA, martech tooling, and AI-assisted production workflows. Provide technical mentorship, documentation, design-system support, and workflow standards for marketing designers and producers. Required skills include HTML, CSS, Liquid or similar templating, Webflow, email rendering, campaign attribution, Figma, and design-to-development handoffs.

Own day-to-day fraud operations for internal and BPO teams: manage people and vendors, develop and get SOPs compliance-approved, maintain QA scorecards, drive process improvements using data, balance fraud prevention with user experience, and serve as escalation point.