At Emi Labs we are on a mission to increase Frontline Workers' access to professional opportunities.
This is a 2.7 billion population that accounts for 80% of the world's workforce. They are digitally invisible, as there's little to no data available on who they are, their career history, or their skill set, limiting their access to professional opportunities and growth. We're here to transform this by building the infrastructure to make Frontline Workers visible.
Our first step to achieving our mission is to transform the recruiting experience into an easy, human and fair process, for both candidates and companies with high-volume job openings.
Emi, our main product, is an A.I. recruitment assistant that enables companies to engage in a conversation with each applicant to detect interested and qualified individuals while saving Recruiters a huge amount of time by automating tasks such as screening, validating skills, scheduling interviews, and collecting documents.
We were part of Y-Combinator's Winter 2019 batch and in 2022 we have raised an $11M funding round co-led by Merus Capital and Khosla Ventures.
What You'll Be Doing At Emi Labs, you'll play a key role in building and leading our data team. As the Head of Data, you will be responsible for defining the data strategy and infrastructure that will drive decision-making and fuel the development of our AI recruitment assistant, Emi. You'll work closely with cross-functional teams such as engineering, product, and operations to scale and optimize how we collect, process, and leverage data to enhance our AI capabilities and improve the recruitment process for Frontline Workers.
Responsibilities Strategy Development: Define and implement the overall data strategy for the company, aligning with Emi Labs' mission to increase Frontline Workers' access to professional opportunities. Team Leadership: Build, mentor, and lead a high-performing data team from the ground up, ensuring continuous growth and development of team members. Data Infrastructure: Design, develop, and maintain scalable data pipelines and infrastructure to support real-time analytics, data-driven decision-making, and machine learning models. Collaboration: Work closely with product, engineering, and leadership teams to ensure data-driven strategies are incorporated into product development and operational processes. Data Governance: Establish and maintain robust data governance practices to ensure data quality, integrity, and compliance with relevant regulations. Insights and Reporting: Lead efforts to analyze data trends and generate actionable insights that will inform key business decisions. Innovation: Leverage data to identify new opportunities for optimizing recruitment processes, and improving both candidate and employer experiences. What we are looking for Experience: 10+ years of experience working in data, with at least 5 years leading and managing data teams. Experience in building teams from scratch is highly desirable. Technical Expertise: Strong technical skills in data engineering, data architecture, and analytics. Proficiency in technologies such as SQL, Python, R, cloud platforms (AWS, GCP, Azure), DBT, and data visualization tools. Leadership Skills: Proven experience in developing and executing data strategies that align with business goals. Experience working with senior leadership to drive data-driven initiatives. Collaboration: Strong communication and collaboration skills, with the ability to influence cross-functional teams and foster a data-driven culture within the company. Nica to have AI/ML Expertise: Experience working with AI or machine learning models, especially within recruitment, talent acquisition, or similar industries. What we offer
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