The Senior Product Manager will own the end-to-end definition, iteration, and delivery of new AI-native products within a 12-week incubator cycle. They will manage cross-functional pods, drive early go-to-market strategies, and ensure successful hand-offs to business units.
Manage a portfolio of accounts to ensure net revenue retention and expansion above 100%. Build strategic account plans and conduct quarterly value-based reviews to drive growth and customer success.
The engineer will own the resolution of technical escalation tickets by investigating, reproducing, and diagnosing issues reported by customers. They will also write code fixes, communicate with stakeholders, and utilize AI-assisted tools to streamline the triage and deployment process.
You will set the technical direction for AI at HotDocs, designing and delivering new AI-powered enterprise features from prototype to production. Additionally, you will lead AI adoption across the software development lifecycle and mentor the engineering team to improve technical excellence.
The role is responsible for leading the Data and Cloud Platform function, building the infrastructure and data capabilities that support the AI organization. This includes designing unified data access layers, managing cloud runtime infrastructure, and executing the organization's data strategy.
The Senior Software Engineer will design, code, and test enterprise-grade software for the HRS platform with a focus on AI-driven and agentic development. Responsibilities include integrating AI tools into the engineering workflow, performing code reviews, and leading project design efforts.
The Drug Screening Specialist oversees occupational health operations, including monitoring test results and coordinating with vendors. They also assist applicants with registration and ensure all client-specific requirements are met in a timely manner.
Design and build features across a Rails monolith and Go microservices, including candidate portals and partner integrations. Leverage AI tools to enhance platform capabilities such as intelligent document parsing and automated adjudication workflows.
The Principal AI Engineer will set technical direction across multiple services and teams while defining AI platform patterns for agent orchestration and governance. This role involves both acting as a technical advisor and embedding within teams to deliver complex, high-value functionality using Python.
The Services Consultant will lead client implementation projects for the GRC suite, including requirements analysis, software configuration, and user training. They will also act as a partner to clients, providing functional expertise and best practice guidance throughout the project lifecycle.
The Account Executive is responsible for identifying, prospecting, and closing new business for background screening solutions through active cold outreach. They must build their own pipeline from scratch, manage territory strategy, and maintain accurate CRM data while conducting virtual and in-person meetings.
The Verifications Specialist is responsible for verifying employment, education, and professional credentials through telephone, email, and fax communications. They must maintain accurate records, handle sensitive information confidentially, and meet production and quality goals.
The Principal AI Engineer will provide architectural oversight and technical leadership for a distributed team building AI-integrated software solutions. Responsibilities include designing scalable systems, implementing Agentic AI strategies, and mentoring developers on modern software practices.
The NetSuite Administrator will manage, optimize, and enhance the company's NetSuite ERP system to support operational growth. Responsibilities include overseeing system configuration, providing user support, ensuring data integrity, and collaborating on process improvements.
The AI Operations Analyst will lead the design, deployment, and maintenance of AI agent solutions while bridging the gap between business requirements and technical execution. Responsibilities include prompt engineering, system integration, performance monitoring, and providing technical support to end-users.
Drive technical direction for product domains and lead the organization's adoption of agentic AI tools and practices. Reduce systemic complexity through architectural debt remediation and mentor teams to elevate engineering craft.
Design and operate multi-agent workflows and end-to-end RAG systems to deliver production-grade AI solutions. Own the full deployment lifecycle including AI infrastructure on AWS, evaluation frameworks, and CI/CD pipelines.
Lead the AI Quality & Governance function by building platforms for AI observability, evaluations, and policy enforcement. This hands-on role involves writing production code and establishing standards for production-ready AI across the organization.
