Top Artificial Intelligence Jobs

The Senior Product Manager will prioritize and deliver AI products, support cross-functional teams, enhance key metrics, and drive market leadership through innovation and research.

The Staff AI Engineer will analyze AI quality, implement improvements, manage projects, collaborate with teams, and shape AI capabilities in a remote-first environment.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.

Design and deploy production recommendation and retrieval engines, build data orchestration pipelines for multiple modalities, implement agentic workflow frameworks, and prototype, optimize, and scale models with monitoring, governance, and low-latency SLAs.

Leads Flagright’s North American partnerships function, owning partner-sourced pipeline and revenue. Responsibilities include developing the partner ecosystem, recruiting and enabling consultancies, system integrators, technology platforms, and industry advisors, executing joint go-to-market initiatives, managing executive relationships, identifying integration opportunities, measuring partner performance, and building a Partnerships team. The role is fully in person in Santa Clara, requires Bay Area residence and U.S. work authorization, and involves up to 50% travel.

Leads Viz.ai’s strategic partnerships and ecosystem strategy, including sourcing, evaluating, negotiating, and managing commercial and technology partnerships. Owns partnership pipelines, distribution, licensing, data-sharing, co-marketing, and potential M&A arrangements. Collaborates with Product, Clinical, Sales, Legal, and Finance to integrate and commercialize partnerships, track ecosystem performance, and advise executive leadership and the Board. Represents Viz.ai with external partners and helps drive growth across healthcare AI and life sciences markets.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Design, develop, and deliver scalable software systems and APIs across the full lifecycle. Lead architecture, integrate AI/ML components, implement microservices/serverless and CI/CD, ensure security, observability, and performance, mentor engineers, and collaborate with product and business stakeholders to meet timelines and quality standards.

Supports, maintains, deploys, and enhances enterprise UiPath RPA solutions. Responsibilities include production O&M, automation break/fix, minor enhancements, source-code lifecycle management, version control, integrations, document processing, and adherence to security protocols. The role requires troubleshooting complex automation issues, collaborating with clients and cross-functional teams, and delivering scalable end-to-end RPA solutions using UiPath and related development practices.

Supports digital assistant content production and implementation through a proprietary CMS. Responsibilities include proofreading, copyediting bot actions, managing online assets, contributing to user experience brainstorming, implementing content and variables, fixing content-related bugs, and assisting with marketing materials and presentations. The internship is unpaid and provides academic credit, training, and exposure to automotive technology.

Build and deploy production-grade integrations, full-stack applications, and AI-enabled solutions directly within customer environments. Collaborate with technical stakeholders and executives, translate ambiguous business problems into scalable software, evaluate AI system reliability, guide deployments, troubleshoot complex issues, and provide customer feedback to product and engineering teams.

Owns workplace operations across IT access, device and asset management, AI tool approvals, vendor reviews, compliance evidence, office management, onboarding, offboarding, HRIS updates, background checks, and immigration coordination. The role builds scalable operational systems for access provisioning, vendor diligence, asset tracking, audit readiness, and employee lifecycle processes while coordinating with HR, IT, Finance, auditors, vendors, and immigration counsel.

Own full-cycle enterprise sales across North America, sourcing and closing $250,000–$400,000+ ACV deals with institutional real estate customers. Build self-generated pipeline, manage C-level multi-stakeholder sales cycles, conduct consultative demonstrations with pre-sales, and navigate procurement, legal, and security reviews. Develop the sales playbook, influence product strategy, create customer references, and contribute to pricing and go-to-market decisions.