About AirOps
Today thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.
We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.
We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.
What You’ll Own
We’re hiring a Data Scientist to design and implement advanced NLP workflows that turn large-scale, unstructured data into actionable insights about brand visibility. You will work on tasks such as text processing, entity extraction, clustering, and semantic search, as well as develop the analytical models that power these capabilities. Your work will power ML-driven capabilities in the AirOps platform and give customers deeper, data-backed insights into their brand visibility across AI-driven channels.
Responsibilities
- Build and maintain NLP workflows for processing unstructured text, including embeddings, entity extraction, and classification
- Develop clustering, semantic search, and pattern detection methods to uncover insights in large datasets
- Analyze large, multi-source datasets to identify trends, measure brand visibility, and surface actionable insights for customers
- Evaluate and refine NLP techniques using quantitative metrics and real-world performance data
- Ensure data quality through preprocessing, feature engineering, and rigorous validation
- Collaborate with data engineers to integrate NLP and analytical solutions into production pipelines
- Partner with product and engineering teams to translate business needs into scalable, data-driven solutions
- Monitor and iterate on performance of deployed solutions to ensure ongoing accuracy and relevance
Your Experience
- 4+ years of experience in data science, applied NLP, or analytics, ideally in AI, SaaS, or data-intensive products
- Strong fluency in Python and SQL, with experience manipulating and analyzing large datasets
- Hands-on experience with NLP libraries and frameworks such as Hugging Face, spaCy, or LangChain, and familiarity with LLM-based workflows
- Proven ability to extract insights from complex, multi-source datasets and communicate findings clearly to both technical and non-technical audiences
- Understanding of clustering, semantic search, and related ML techniques
- Experience with data warehouses and OLAP databases (e.g., Redshift, Snowflake, BigQuery, ClickHouse)
- Familiarity with data preprocessing, feature engineering, and validation techniques to ensure data quality
- Comfort operating in fast-paced, ambiguous environments where you ship quickly and iterate
Our Guiding Principles
- Extreme Ownership
- Quality
- Curiosity and Play
- Make Our Customers Heroes
- Respectful Candor
Benefits
- Equity in a fast-growing startup
- Competitive benefits package tailored to your location
- Flexible time off policy
- Generous parental leave
- A fun-loving and (just a bit) nerdy team that loves to move fast!
