Top Artificial Intelligence Jobs

Own end-to-end recruiting across consulting, GTM, engineering, and operations while building the company’s people function. Responsibilities include sourcing, interviewing, candidate closing, onboarding, people administration in Rippling, payroll and benefits coordination, work authorization and immigration support, policy maintenance, and performance and development processes. The role partners closely with founders and hiring managers in a hands-on, high-ownership environment.

Own user acquisition and full-funnel optimization across paid and organic channels. Design experiments, analyze cohorts and unit economics, improve conversion quality, build growth dashboards, and develop scalable acquisition strategies. Collaborate with product, operations, engagement, and leadership teams while coordinating campaign execution and creating a repeatable experimentation framework.

Translate captions, subtitles, documents, web pages, and software from English to French. Perform machine translation post-editing, transcreation, localization, cultural adaptation, and quality assurance. Maintain translation databases using translation management software, meet tight deadlines, implement feedback, and collaborate with project managers and other departments.

Build and scale a fintech risk and compliance platform as the second engineer. Responsibilities include developing full-stack features, owning product areas end to end, improving reliability and performance, collaborating with customers, participating in architecture and code reviews, and establishing engineering best practices. The role requires independent feature delivery, strong full-stack fundamentals, production experience, sound technical judgment, clear asynchronous communication, and willingness to learn compliance and AI domains.

Identify and qualify new business opportunities, generate leads, research prospects, conduct client outreach, build relationships, schedule meetings, and ensure qualified lead handoffs to the sales team. The role requires customer curiosity, self-direction, comfort operating with an evolving playbook, effective communication, and collaboration with account executives and marketers to tailor solutions to client needs.

The Founding Engineer will establish Ultralytics’ New York engineering team and own AI/computer vision features end to end. Responsibilities include architecture, coding, testing, deployment, production operations, full-stack interfaces, backend services, infrastructure, model serving, and reliability. The role leads technical reviews, mentors and unblocks engineers, coordinates asynchronously across international teams, contributes to open source, and uses AI-assisted development tools. Strong practical experience with Python, PyTorch, ML/computer vision, full-stack systems, cloud infrastructure, and production delivery is required.

Own the full enterprise sales cycle across strategic US accounts, from prospecting through close and expansion. Manage complex, multi-stakeholder negotiations involving procurement, legal, IT, and executives; develop territory plans, business cases, presentations, and demos; maintain accurate forecasts and HubSpot CRM hygiene; and collaborate with BDR, pre-sales, and operations teams. The role requires selling B2B SaaS to large enterprises, managing $100K+ ACV deals with 6–12+ month sales cycles, and occasional US and EMEA travel.

Build responsive Bubble.io applications for startup clients, collaborate with product managers and designers, refine requirements, test tools and assumptions, communicate with clients weekly, and contribute reusable components and tutorials to the internal library. The role offers autonomy, client exposure, and opportunities to advance into technical leadership or product management.

Design and build end-to-end user features and multi-step AI workflows. Architect reliable, private, high-performance systems and infrastructure. Fine-tune and evaluate LLMs, mitigate hallucinations, and translate research into production. Drive product-focused engineering decisions and benchmarks to improve data and model performance.

Lead Build AI’s commercial function by personally closing complex, high-value deals with frontier AI labs and robotics companies. Define ideal customers, build pipeline, manage negotiations and contracts, structure pilots and multi-year partnerships, and collaborate with founders and technical teams. Establish a repeatable sales process, translate customer feedback into product direction, and eventually recruit and lead the sales organization.