Top Tech Jobs & Startup Jobs

Lead strategy and roadmap for a Customer Data Platform (CDP), partnering with engineering, data, and go‑to‑market teams to build reusable, discoverable, and compliant data capabilities. Drive data modeling, ingestion, governance, AI/ML integration, and adoption to enable personalization, experimentation, and measurable business outcomes across downstream teams.

Own end-to-end product strategy for partner payouts, modernizing payout platforms, improving onboarding and payout reliability, and partnering with engineering, design, finance, ops, legal, and regional teams to deliver scalable, compliant, and cost-efficient payout experiences.

Lead design and delivery of an Operational Resilience Framework, policies, and IT Disaster Recovery program. Drive dependency mapping, governance, tabletop/live simulations, cross-functional alignment, and embed resilience-by-design practices. Mentor team members and partner with engineering, security, and business stakeholders to increase maturity and ensure continuity and crisis response readiness.

Lead brand and product design for BEX by translating brand strategy into cohesive multi‑platform experiences. Own design systems, drive vision and metrics, lead discovery-to-delivery initiatives, mentor designers, partner with cross-functional teams, and apply systems-thinking and data (including AI/ML) to measure and iterate product experiences.

Lead design and delivery of secure, scalable multi-cloud/hybrid platform capabilities. Build and automate orchestration and infrastructure using Terraform, KubeFed, and Kubernetes; implement service mesh (Istio) and ingress patterns; improve observability, capacity planning, CI/CD, and deployment automation; manage production incidents and on-call rotations; migrate and integrate tooling using Python/Go/Java while driving resiliency, performance tuning, and platform reliability.

Lead quantitative UX research for AI-driven products: define measurement strategy, design large-scale surveys and behavioral analyses, build psychometric and evaluation frameworks, write SQL/Python/R analyses, partner with AI/ML and product teams, and mentor researchers to embed human-centered metrics into AI development.

Lead development of scalable econometric and causal-inference methods to measure long-term marketplace impact. Design geo and quasi-experiments, integrate causal models into production with ML teams, influence product strategy, and mentor data scientists to elevate experimental rigor across the organization.

Build and maintain reliable, scalable full‑stack services and web applications for partner payment and payout account experiences. Deliver end‑to‑end features across design, implementation, testing, deployment, monitoring, and operations. Collaborate with cross‑functional partners, improve code quality and performance, participate in reviews and design discussions, and safely integrate AI/ML‑enabled components to improve product outcomes.

As a Mobile Engineer III, iOS, you'll design, maintain, and improve iOS applications, collaborating with cross-functional teams and ensuring high reliability and performance.

The Senior Machine Learning Scientist will lead the development of ML systems for personalized CRM marketing, define technical roadmaps, and mentor team members while collaborating with cross-functional teams.