Top Tech Jobs & Startup Jobs

Serve as the company's chief legal officer: lead corporate governance, negotiate and manage contracts, direct IP strategy and patent/trade secret protection, advise executives and the board, oversee M&A and licensing, manage outside counsel and legal budgets, ensure compliance with federal procurement, cybersecurity and data privacy regulations, and support crisis management and internal investigations.

Lead Forward Deployed Engineering to scale customer implementations of Accrete's AI platform from discovery to production. Build operating models, delivery standards, staffing plans, and playbooks; manage and mentor teams; partner with Product, Engineering, Research, and customers to ensure secure, reliable, and scalable deployments with measurable impact.

Lead end-to-end technical deployments with strategic customers: scope, design, build, integrate, and stabilize AI-powered full-stack systems. Work directly with customer teams to translate workflows into production-grade solutions, configure AI agents and retrieval pipelines, support rollout and monitoring, and provide product feedback to improve models and platform capabilities. Travel up to 50%.

As a Senior Software Engineer, you will design scalable software solutions, lead a team in product development using Python and AWS technologies, and mentor junior engineers.

Build and optimize scalable AI infrastructure and distributed systems for model training and inference. Integrate research into production, improve model efficiency, ensure reliability and security, collaborate with cross-functional teams, and maintain large-scale data pipelines.

Seeking a Senior Applied Scientist to advance AI systems for decision automation and knowledge gathering, focusing on large language models and causal reasoning.

Build end-to-end frontend and backend features for an AI platform: design UIs for model interaction, develop scalable APIs and services, integrate ML models, improve reliability and performance, and own projects from concept to deployment.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

Build end-to-end frontend and backend features for an AI platform: design scalable APIs, integrate ML models, build user interfaces, improve reliability and performance, and own projects from concept through deployment.

The role involves managing the entire recruitment lifecycle for technical and non-technical roles, building talent pipelines, analyzing recruitment metrics, and implementing employee engagement initiatives.