Top Entry Level Jobs in San Francisco Bay Area, CA

Build, deploy, and manage large-scale multi-region PostgreSQL clusters in production. Develop automation, monitoring, observability, and performance-tuning tools; implement high availability, backup, and disaster recovery solutions; optimize indexing and queries; and collaborate with infrastructure and application teams to integrate database tooling and improve platform reliability.

Drive business development and account ownership for Mastercard Services solutions targeting commercial, fintech, digital merchant, and global digital partner clients. Achieve sales and revenue targets, manage end-to-end consultative sales cycles, develop value propositions, lead executive presentations, and build senior client relationships. Coordinate with marketing, demand generation, product, solutions, and client services teams to create go-to-market strategies and deliver value.

Own product operations for EliseAI’s housing product line, partnering with Product, Engineering, clients, Legal, and other stakeholders. Responsibilities include translating requirements into workflows and specifications, conducting client discovery, coordinating launch readiness, managing enterprise implementations, resolving post-launch issues, synthesizing customer feedback and product data, scaling monitoring and support processes, and supporting compliance initiatives.

Nourish is accepting applications from engineers interested in future building opportunities. The company develops an AI-native digital health platform connecting patients with dietitians, physicians, medications, lab testing, and AI agents to provide insurance-covered metabolic healthcare nationwide.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and deployment. Collaborate with data scientists, engineers, and product managers to deliver scalable AI-powered products. Research state-of-the-art methods in language and vision-language modeling, optimize training and inference, develop platform or solution code, and translate research findings into customer-focused business outcomes.

Designs, builds, and operates AWS cloud infrastructure and shared development environments. Automates provisioning and lifecycle management with Terraform, supports containerized workloads, improves observability and reliability, troubleshoots infrastructure issues, implements IAM and security controls, and manages cloud cost, capacity, and compliance requirements.

Own global seller enablement programs, including onboarding, role readiness, Field OS, and AI-enabled workflows. Build scalable resources, custom agents, manager onboarding, operating cadences, and measurement systems that improve seller ramp and execution. Lead a small team, align stakeholders, establish feedback loops, and continuously iterate enablement programs across regions and time zones.

Support model portfolio management through portfolio monitoring, rebalancing, implementation evaluation, performance attribution, risk analysis, and compliance oversight. Develop Python and SQL-based analytics, reporting, visualization, and automated workflows using Aladdin and Power BI. Apply AI, LLMs, prompt engineering, and workflow automation to improve investment research, decision support, and operational efficiency while translating complex data into actionable investment insights.

Advise Talent Acquisition and People Business Partners on compensation offers, maintain global market benchmarks and salary ranges, build financial models, analyze pay equity, and manage annual and mid-year compensation cycles. The role evaluates job profiles against market data, monitors technology compensation trends and regulatory requirements, and supports compliant, competitive total rewards programs across international locations.

Build next-generation voice AI systems for consumer and business applications. Develop persistent memory, complex reasoning, speech pipelines, and production-grade agentic workflows. As an early technical contributor, the ML Engineer will help shape core architecture, take ambiguous concepts through production, and influence user interactions with advanced language models in a fast-paced pre-seed startup.