Director of Data

Airops Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Join AirOps, a hyper-growth company revolutionizing content engineering for the AI era, and take the helm of our Data function as the Director of Data. We are the premier end-to-end platform empowering brands to thrive in a landscape increasingly dominated by AI-driven discovery. Our innovative solution helps marketing teams at leading companies like Ramp, Chime, Carta, and Rippling transform content quality into a sustainable competitive advantage. By equipping marketers to navigate the evolving discovery ecosystem, identify high-impact opportunities, and produce accurate, on-brand content that garners both AI citations and human trust, we are shaping the future of marketing. As a company backed by prominent investors including Greylock, Unusual Ventures, Wing VC, and Founder Collective, we are building the intelligent systems that will define the next generation of marketing leaders. With headquarters in San Francisco, New York, and Montevideo, we offer a dynamic and global work environment.
• In this pivotal role, you will be instrumental in shaping and executing our data strategy. Data is the lifeblood of AirOps, powering everything from the sophisticated ML systems that uncover content opportunities to the insightful customer-facing analytics that demonstrate tangible ROI. You will own the entirety of our data operations, encompassing data engineering, data science, and analytics. This is a unique opportunity to work directly alongside our founders and product leadership, influencing how data is leveraged across our entire platform and driving strategic decision-making.
• Your responsibilities will span the entire data lifecycle. You will be tasked with owning and evolving our end-to-end data platform, which includes building and maintaining robust batch and streaming data pipelines. These pipelines will ingest data from a variety of critical sources, including web crawlers, integration APIs such as Google Search Console and Google Analytics, CDN logs, and our internal product analytics and CRM systems. You will manage our data warehouse, ensuring optimal performance, meticulous cost management, and comprehensive observability. A key focus will be on implementing best practices in data orchestration, leveraging tools like dbt for transformations, establishing strong data contracts, and embedding automated testing to guarantee data quality and reliability.
• Beyond infrastructure, you will drive our data science and machine learning initiatives. This involves building and refining ML systems designed to analyze complex AI search behaviors, pinpoint high-value content opportunities, and accurately predict content performance. You will be responsible for taking these models from the research phase all the way to production, with a keen eye on optimizing for low latency and cost-efficiency at scale. Your work will directly contribute to the intelligence and effectiveness of our platform.
• Furthermore, you will lead our analytics efforts, delivering critical metrics that fuel our internal dashboards, power rigorous experimentation, and provide valuable insights through customer-facing analytics. You will collaborate closely with our Product and Go-To-Market (GTM) teams, developing comprehensive tracking plans and measuring the impact of various initiatives. Your analytical prowess will be essential in guiding product development and informing business strategy.
• As a leader, you will build and nurture a high-performing data team. This includes actively recruiting top talent, mentoring engineers and scientists, and fostering an environment of continuous learning and development to elevate the team's capabilities. You will also drive cross-functional projects, acting as a bridge between business needs and technical solutions, ensuring that data initiatives align seamlessly with our overarching company goals. Your ability to translate complex business requirements into actionable technical strategies will be paramount.
• We are seeking a visionary leader who embodies our guiding principles of Extreme Ownership, Quality, Curiosity and Play, and Making Our Customers Heroes. If you are passionate about leveraging data to drive innovation and eager to make a significant impact in a fast-paced, growth-oriented environment, we encourage you to apply.

🎯 Requirements

• 8+ years of experience in data-focused roles, with a minimum of 3 years in a leadership capacity managing data teams.
• Strong foundational knowledge and practical experience in both data engineering and data science, with a proven ability to bridge the gap between the two disciplines.
• Expert-level proficiency in SQL and Python, coupled with hands-on experience with key data technologies such as dbt, Airflow/Prefect, and Snowflake/BigQuery.
• Demonstrated track record of successfully building and deploying data products that have directly and measurably impacted business outcomes.
• Preferred: Domain experience in marketing, ad tech, or growth experimentation, providing a nuanced understanding of our industry.
• Preferred: Experience with Large Language Model (LLM) applications and AI agents, aligning with our focus on AI-driven solutions.

🏖️ Benefits

• Significant equity in a fast-growing startup, offering the opportunity for substantial financial upside as the company scales.
• A competitive and comprehensive benefits package, carefully tailored to be relevant and valuable for employees in their respective locations.
• A flexible time off policy designed to support work-life balance and employee well-being, allowing you to recharge as needed.
• Generous parental leave to support new parents during this important life stage.
• Access to a fun-loving, collaborative, and (just a bit) nerdy team that thrives on moving fast and achieving ambitious goals together.

Skills & Technologies

Python

Remote

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Airops Inc.

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About Airops Inc.

Airops is a leading provider of AI-powered solutions for operational efficiency. Their platform integrates seamlessly with existing business systems to automate complex workflows, enhance decision-making, and drive significant cost savings. By leveraging advanced machine learning algorithms and natural language processing, Airops empowers organizations across various industries, including finance, healthcare, and logistics, to optimize their operations. The company focuses on delivering tangible business outcomes through intelligent automation, enabling clients to reduce manual effort, minimize errors, and improve overall productivity. Airops is committed to helping businesses navigate the complexities of modern operations with cutting-edge AI technology.

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