The Technical Integration Consultant acts as a liaison for technical inquiries, integrating HiredScore's technology with clients' HR tech stacks while solving challenges and improving documentation processes.

The Principal Software Engineer (Full Stack) will lead the Evisort AI team in building AI-driven contract management solutions while collaborating with cross-functional teams and mentoring other engineers.

As a Principal Software Development Engineer, you will design and develop enterprise SaaS applications, mentor engineers, and build scalable solutions for the Business Planning Cloud.

The role involves collaborating with various teams to build AI products, mentoring teammates, and managing functional areas from development to production.

Responsible for designing and executing platform security products by collaborating with customers and various teams, prioritizing and defining product requirements, and maintaining backlog.

Design and develop scalable components and microservices, focusing on distributed systems using technologies such as Scala and AWS. Role includes troubleshooting and improving production services.

Lead the Evisort AI team by creating product vision and strategy, collaborating with cross-functional teams, and enhancing AI-powered contract management solutions.

The role involves building relationships with prospects, generating new business opportunities, and utilizing consultative selling skills. Training is provided for those re-entering the workforce or changing industries.

The role involves proactive relationship building with new customers, utilizing consultative selling techniques, and generating business opportunities via outbound calling and prospecting.

The Technical Implementation Manager leads project implementation, ensuring timeline and quality while being the primary contact for clients. Responsibilities include tracking project status, configuring products, and coordinating with various teams to ensure customer satisfaction post-launch.

Contribute to data ingestion, management, and governance for Machine Learning initiatives, utilizing various technological tools and programming languages.

Lead and manage engineering teams in developing high-performance enterprise applications. Collaborate with stakeholders, drive innovation, and mentor team members while promoting a diverse and inclusive work environment.