Top Artificial Intelligence Jobs

Lead and scale a research team from 5 to 20 researchers developing frontier machine learning systems for forecasting, optimization, and control. The role requires strong ML foundations, hands-on experience training and deploying production models, and first- or second-line management experience. Preferred qualifications include LLM infrastructure expertise, quantitative modeling experience, and startup experience. This is an in-person role in San Francisco, five days per week.

Designs and deploys AI-enabled decision workflows for Department of Defense and federal customers. Responsibilities include configuring data models, dashboards, what-if scenarios, AI agents, and automated workflows; integrating and transforming data; troubleshooting customer issues; advising end users; supporting adoption; and collaborating with product and development teams. The role combines solutions engineering, analytics, customer advisory, and agentic AI workflow design across enterprise platforms.

Founding Product Designer owning end-to-end design for Temper’s agentic integration platform, including agentic UX, platform UX, and brand. The role requires designing dense technical B2B SaaS products, implementing production frontend code, shaping the design language, and collaborating closely with the founders and engineering team. This is an in-person, early-stage role in San Francisco with high ownership and a hands-on design engineering focus.

Own Ollama’s developer relations strategy and execution by engaging developer communities, partnering with model labs and hardware companies, creating technical content, gathering user feedback, and delivering demos at meetups and conferences. The role combines hands-on engineering with public-facing communication, including code, tutorials, technical blog posts, videos, and social content built around open models.

Build Clarity’s product experiences end to end, collaborating with product design to create an intuitive user experience. Develop frontend infrastructure, abstractions, design systems, performance and monitoring capabilities. Own product improvements and make decisions amid ambiguity. Support customers, participate in sales calls and onboarding, and explore generative AI applications that solve customer problems.

Own Kin’s technical foundation and direction across architecture, offline-first healthcare, real-time clinical audio transcription, private AI compute, APIs, mobile recording, and patient-facing interfaces. Establish engineering workflows, tooling, and automation for a small team while collaborating directly with founders, clinicians, and the CTO. Ship reliable, privacy-conscious software and document patterns and tradeoffs that improve team effectiveness.

Close new business and expand fashion retail partnerships across the Nordics. Evaluate prospective clients’ needs, deliver product demos, manage the sales pipeline, provide market intelligence, and coordinate handoffs to the client success team. The role requires B2B sales experience, preferably in SaaS, fluency in a North Germanic language, retail and fashion interest, quota attainment, strong communication, and experience selling to apparel, footwear, and e-commerce organizations.

Leads US people strategy and end-to-end HR support across the employee lifecycle for a distributed healthcare AI organization. Advises leaders on performance, employee relations, compliance, benefits, engagement, wellbeing, and capability development. Partners with clinician recruitment and credentialing teams, mentors People Experience colleagues, uses people data to guide decisions, and manages sensitive matters with autonomy across a three-day workweek.

Own the full enterprise SaaS sales cycle, from prospecting and pipeline generation through closing and new business development. Build executive-level relationships within the building construction, design, and real estate industries; qualify complex opportunities using MEDDICC; maintain accurate CRM data and forecasts; achieve sales targets; and collaborate with marketing, customer success, and product teams. The role is based on the US West Coast and requires travel across North America as needed.

Inputs, updates, verifies, and maintains data across company systems; performs quality checks, corrects discrepancies, generates reports, protects confidential information, and recommends process improvements. Collaborates with internal teams and works independently in remote or hybrid environments.