Top Entry Level Artificial Intelligence Jobs in San Francisco, CA

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.

Own the end-to-end process of transforming partner workflows into evaluation datasets and reinforcement learning environments. Work directly with AI researchers, executives, and organizational leaders to identify capability gaps, manage technical and relationship lifecycles, shape the product roadmap, and build reusable infrastructure that improves partner onboarding. The role requires strong engineering, communication, systems thinking, judgment, ownership, and comfort in an ambiguous, high-intensity environment.

Prospect and engage enterprise customers via high-volume outbound outreach, conferences, and marketing lists. Qualify leads, collaborate with Account Executives for handoffs, track activity in CRM, meet pipeline targets, and share market feedback with cross-functional teams.

Own growth for Circle’s Discover marketplace by driving traffic, GMV, transactions, acquisition, engagement, and retention. Lead experimentation, lifecycle email programs, subscriber acquisition, SEO/AEO, creator success initiatives, funnel and cohort reporting, and growth strategy. Collaborate with product, paid media, data, brand, partnerships, leadership, and creators in a hands-on player-coach role.

Supports full-cycle recruiting by creating requisitions and job descriptions, screening applicants, conducting phone interviews, coordinating interviews, managing hiring actions and offer details, and assisting with immigration-related processes. Partners with recruiting stakeholders and HR support teams to improve processes, respond to candidates, onboard recruiting staff, and coordinate meetings and training. Requires strong communication, organization, ownership, and ATS experience.

Investigate and resolve card, application, identity, and travel fraud cases from detection through closure. Triage fraud alerts, manage chargebacks and disputes, document cases for regulatory review and SAR support, identify cross-case fraud patterns, collaborate with Support, Legal/Compliance, and Credit teams, and help develop fraud operations procedures and playbooks.

Develops enterprise solution architectures, AI use cases, strategic sales motions, and executive advisory engagements for Fortune 500 customers. Partners with sales engineering and account executives on strategic opportunities, translates customer needs into product feedback, creates scalable enablement assets, mentors field teams, and represents Qualtrics at conferences, analyst briefings, and executive events.

Own the commercial enablement roadmap for account executives, account managers, and customer success managers. Define execution standards, translate product and process changes into practical guidance, facilitate workshops and role plays, create playbooks and coaching tools, support onboarding and certifications, and use field feedback, conversation intelligence, CRM signals, and program data to improve readiness and customer-facing performance.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Build and deploy full-stack healthcare financial products used by millions of patients. Develop AI- and ML-powered features, integrate LLMs, enhance an AI billing assistant, and create patient payment solutions. Collaborate with product, design, and partner engineering teams to deliver production-ready software. Contribute to technical planning, coordinate complex development efforts, mentor peers, and maintain high standards for testing, code quality, efficiency, and technical debt management.