Top Tech Jobs & Startup Jobs in San Francisco, CA

Own end-to-end consultative sales and business development for Mastercard Services across commercial, fintech, and digital partnership accounts. Achieve revenue targets, manage strategic client relationships, shape value propositions, lead pitches to senior stakeholders, and coordinate with marketing, product, solutions, and client services teams. Develop territory and account strategies, prospect opportunities, negotiate contracts, and drive monetization of data products, software platforms, and analytical services.

Design, build, validate, and deploy machine learning models; perform EDA and statistical analysis; design and maintain scalable ETL/ELT data pipelines; work with large distributed datasets; run A/B tests; monitor production model performance; partner with product, engineering, and business teams to deliver data-driven solutions and ensure data quality.

Design, build, and deploy machine learning models for ad targeting, ranking, and bidding optimization. Develop personalization and recommendation systems at scale. Lead incrementality testing, attribution modeling, and experimentation. Optimize models for production latency and scalability, and collaborate with product, engineering, analytics, and business teams to translate objectives into MLOps-ready solutions for Mastercard's AdTech and commerce media products.

Lead global channel partnerships for Mastercard Security Solutions (cyber, fraud, identity). Build and scale strategic partner accounts (GSIs), drive partner recruitment, onboarding, enablement, joint planning, pipeline management, and revenue attainment. Collaborate cross-functionally to align product, sales, and marketing; launch pilots and scale programs; provide partner feedback to inform roadmaps. Role is quota-carrying and requires executive communication, stakeholder alignment, and commercial discipline.

Lead partner recruitment, onboarding, activation and growth for Mastercard Media Solutions in NAM. Build territory and joint business plans, manage channel pipelines, hit revenue quotas, enable partners, coordinate internal stakeholders, and provide market feedback to product and marketing teams.

Lead design and delivery of Mastercard's on‑prem AI infrastructure: roadmap, procurement (RFI/RFP), architecture for compute, storage, networking and cooling to support large‑scale training and low‑latency inference. Partner with data science, MLOps, enterprise architecture, security, and sourcing to align infrastructure with governance, ROI, and responsible AI requirements.