Lead the Job Seeker user experience and growth strategy, focusing on user acquisition and retention while managing a team of Product Managers.

Lead a software engineering team, ensuring code quality and high morale, while collaborating with product managers and innovating solutions.

Lead design, development, and deployment of advanced machine learning models and infrastructure. Own architecture, data pipelines, experimentation, validation, and team technical leadership to drive AI-driven product features and business value.

Senior Software Engineers will build data processing pipelines and deploy cloud technologies, focusing on big data and machine learning infrastructure. They are expected to write and deploy efficient code within a Kubernetes environment.

The role involves designing and troubleshooting fault-tolerant distributed systems, managing Kubernetes, and developing CI/CD pipelines, while ensuring system scalability and reliability.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

Drive new business and revenue growth for enterprise staffing accounts by prospecting, negotiating contracts, conducting demos, building executive relationships, managing and expanding existing accounts, meeting quotas, cold calling, and traveling up to 50%.

Design and develop scalable user-facing web applications; improve engineering practices and collaborate with technical and non-technical stakeholders; engage with cross-functional teams.

The Senior Revenue Operations Business Analyst will optimize revenue generation by implementing technology and automation, enhancing data-driven decision-making across teams, and managing the tech stack for high ROI.

The Sales Engineer collaborates with enterprise sales teams, providing product expertise and strategic insights to accelerate sales and enhance customer success.

The Agency Relationship Manager establishes and grows relationships with recruitment agencies, provides strategic solutions, conducts account analysis, and stays informed on industry trends.

The Revenue Operations Analyst supports Marketing, Sales, and Customer Success by resolving operational issues, optimizing processes, and managing Salesforce and other tools.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Own post-sale customer experience for an enterprise book of business: onboard customers, optimize product performance, drive retention/upsells through data-driven insights, coordinate implementations and AdOps, and build strategic customer relationships.