Top Tech Jobs & Startup Jobs

Lead model risk audits across development life cycles: review design, training, evaluation, validation, and implementation of ML models. Partner cross-functionally to surface model risk issues, apply NLP and Generative AI methods, and communicate findings to stakeholders and the Audit Committee.

Design, build, deploy, and support large-scale AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, and observability. Collaborate cross-functionally, optimize model performance and cost, and contribute to technical vision and roadmap for foundational AI platforms.

Design and operationalize in-Cafe experiential financial health programs: translate strategy into modular physical customer journeys, craft consumer-facing copy, build scalable toolkits, enable Cafe teams to execute, and iterate using qualitative and quantitative performance metrics.

Lead creative strategy and execution for social, video, and display ads to drive mobile app user acquisition. Scale content sourcing, manage high-volume testing pipelines, collaborate with growth, brand, agencies, and creators, and ensure compliance with legal and risk frameworks while optimizing performance metrics and conversion drivers.

Support multiple executives by managing complex calendars, coordinating travel and expense reporting, organizing team events, and circulating communications. Act as gatekeeper and team ambassador, handling scheduling changes, video-conference setup, and administrative tasks to keep leaders focused. Requires flexibility, resourcefulness, attention to detail, strong communication, and cross-team collaboration.

Lead strategy and operations for company-wide tech recognition and enablement programs. Define KPIs, design program roadmaps, build scalable processes, coordinate cross-functional partners, mentor and grow a team, and use data-driven insights to optimize impact and user experience.

Lead product for Capital One's feature flagging and experimentation platform, building tools, SDKs, and statistical engines for safe deployments, precise targeting, and rigorous A/B testing. Partner with engineering, data science, and product teams to design high-performance, compliant platform primitives and developer-facing workflows that scale to billions of events and sub-millisecond evaluation latency.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Build and maintain data solutions for risk products: mine diverse data, develop BI dashboards and metrics, perform analyses to inform strategy, enforce data quality/lineage/governance, and collaborate with tech teams on access and security. Support self-service frameworks and monitor data quality.

Lead Payments Intelligence product strategy and execution, align cross-line-of-business stakeholders, and advance transaction-data and AI/ML-driven platform capabilities. Raise product management standards, deliver value for internal and external users, and collaborate with tech, data science, risk, and business teams to achieve near-term impact and long-term outcomes.