Top Artificial Intelligence Jobs

Own and grow a portfolio of 50-60 employer accounts, drive retention, adoption, and expansion, run business reviews with HR stakeholders, support onboarding, build success plans, surface client feedback to product and ops, and collaborate on engagement and expansion strategies.

The Brand and Creative Lead is responsible for developing brand guidelines, designing creative assets, and ensuring brand consistency while collaborating with marketing teams and external vendors.

The Lead Android Engineer will architect and build a new Android app from scratch, collaborating with teams to ensure a high-quality product that aligns with the existing iOS version. Responsibilities include overseeing the codebase, establishing best practices, and contributing to product decisions.

As a Senior Platform Engineer, you will own and develop the internal developer platform, enhancing GitOps workflows, ensuring reliability, and collaborating with engineering and security teams to improve automation and compliance.

Own full sales cycle for Gynger's fintech B2B SaaS platform: prospect, qualify, run consultative deals with finance teams, exceed quota, and feed product/marketing insights.

Lead and scale Eleos's operations by overseeing an external ops firm, managing finance/grants/compliance, maintaining policies and systems, supporting hiring and the board, and expanding in-house operations and facilities.

Sell Tildei's marketing tech SaaS to enterprise marketers by sourcing leads, owning the full sales cycle from prospecting to close, meeting quota, and sharing market feedback with product and marketing to improve positioning.

The Business Development Director will identify prospects, manage the sales cycle, build relationships with executives, and drive revenue by leveraging technology and a deep understanding of tax products.

Guide law firm clients through onboarding, configuring case management platforms, data migration, testing, training, and ongoing advisory to optimize workflows, automations, and adoption.

Lead end-to-end AI strategy and delivery for clients: translate executive goals into investor-grade business cases, design production-ready LLM/agent/RAG solutions, partner with engineering to deploy measurable AI products, mentor consultants, and build reusable IP to scale engagements.