Own operational strategy and execution for SMB go-to-market teams, identifying process improvements and leading complex cross-functional initiatives. Manage and coach analysts while optimizing systems and workflows and resolving operational issues that affect frontline teams.
Lead and develop the Enterprise Decision Science team, set analytical priorities and methodological standards, and personally conduct strategic analyses across the enterprise customer lifecycle. Evaluate Sales, GTM, and Customer Success initiatives using the strongest methods available, and communicate evidence, uncertainty, and actionable recommendations to cross-functional partners.
You will partner with product, engineering, and design teams to optimize the mobile user experience through rigorous experimentation and causal inference. Additionally, you will define KPIs, create performance dashboards, and translate complex data insights into actionable product strategy.
You will own the core experience of the employer applicant tracking system and lead the development of the employer mobile app. You will drive strategy to increase employer engagement and response rates through data-driven experimentation and cross-functional collaboration.
The Account Executive is responsible for acquiring new business subscribers through cold outreach, product demonstrations, and managing the full sales cycle. They must meet or exceed monthly quotas by prospecting, building a robust pipeline, and converting free trials into paying accounts.
The Acquisition Account Executive is responsible for identifying and securing new business through cold outreach, prospecting, and platform demonstrations. They manage the full sales cycle from initial contact to closing deals while maintaining a robust pipeline of new accounts.
You will design and implement robust data systems, models, and AI-powered tooling to support business operations and product engineering. Additionally, you will mentor team members and establish engineering standards for data work, including testing and CI/CD practices.
Build data processing pipelines and machine learning infrastructure to support intelligence systems. Deploy cloud-based technologies and maintain code within a Kubernetes environment.
You will own the product strategy for the messaging channel, managing millions of daily emails and push notifications to drive job seeker engagement and retention. You will collaborate with data science and engineering teams to optimize message performance, ranking models, and deliverability while balancing business outcomes.
You will own the product strategy for the messaging channel, managing millions of daily emails and push notifications to drive job seeker engagement and retention. You will collaborate with data science and engineering teams to optimize message performance through experimentation and machine learning models.
Lead and develop a high-performing team of decision scientists while personally executing high-stakes analyses for the marketplace. Define strategic priorities, establish methodological standards for experimentation, and communicate complex quantitative findings to executive leadership.
The Sales Compensation Manager will lead the design of sales incentive structures and manage the quarterly goal-setting process for the sales organization. They will act as a strategic advisor to executive leadership, utilizing data-driven analysis to ensure compensation plans drive profitable growth.
The Staff Machine Learning Engineer will define the technical vision for recommendation and matching algorithms while architecting high-scale production systems. They will also provide technical leadership and mentorship to engineers across the organization to ensure rigorous experimentation and production excellence.
The Engineering Manager will lead the Big Data Engineering team, overseeing mission execution, code quality, and team morale. They will partner with product managers to drive business value while coaching engineers to foster a culture of excellence and professional growth.
The Engineering Manager will lead the Machine Learning Engineering team, overseeing product lines and driving business value through technical innovation. They are responsible for coaching engineers, maintaining code quality, and partnering with product managers to execute the product roadmap.
The engineering manager will own the mission, execution, and code quality of their team while partnering with product managers to deliver on the product roadmap. They are responsible for coaching engineers, removing roadblocks, and fostering a culture of excellence and professional growth.
You will own the mission, execution, morale, and code quality of your engineering team while partnering with product managers to execute the product roadmap. Additionally, you will act as a force multiplier by removing roadblocks, implementing process improvements, and coaching engineers to foster a culture of excellence.
Identify and sign up new customers through high-volume outbound calling and consultative selling. Manage the full sales life cycle from initial contact and product demonstrations to closing the deal.
