Top Artificial Intelligence Jobs

Hunt and own the full enterprise SaaS sales cycle for seoClarity’s SEO platform, driving outbound-sourced pipeline, managing complex multi-stakeholder deals (ACV $50k+), running demos, negotiations, and forecasting while partnering cross-functionally to refine enterprise playbooks and close new logo business.

The role requires managing enterprise account sales cycles, consultative selling, strategic account development, and maintaining pipeline management in fraud prevention solutions.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

As a Senior Solutions Architect, you'll lead technical solution development, manage pre-sales PoCs, and support post-sales implementation. You'll work closely with engineering and customer success teams to customize the Akkio platform and automate data processes.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Build and enhance ML systems for custom model training, oversee projects from data intake to model delivery, ensure model quality at scale, create evaluation frameworks, and collaborate with engineers.

You will build core interfaces for Delphi, create a discovery platform, architect scalable front-end systems, and set quality standards while collaborating closely with various teams.

The Head of People will manage all HR functions, including talent acquisition, performance management, and culture-building within the company.

As an Applied AI Engineer, you'll build AI workflows for SEO, design LLM systems, and optimize operational quality, collaborating closely with a team.

Build and maintain resilient backend systems, participate across the product development lifecycle, collaborate with product and design, raise engineering standards, think through system lifecycles and failure modes, and contribute broadly at an early-stage fintech. Work primarily with backend technologies (Go preferred) and cloud/datastore tools.