Open roles.
01 Senior Software Engineer
We're hiring a Backend Developer to join us at an exciting early stage, you'll play a key role in helping us scale as we grow our customer base. This role is ideal for someone who wants significant autonomy, broad ownership across the stack, and the opportunity to shape the technical culture and architecture from the ground up. This role is open in both our London and New York offices; tell us which you prefer when you apply.
What you will do
- Design and own end-to-end data pipelines, from ingestion to cleaning to transformation
- Build and operate orchestration workflows (Airflow-style DAGs, etc.) to ensure reliable and observable data movement
- Integrate with messy customer systems (on-prem databases, CSV dumps, SFTP, legacy ERPs) and turn them into structured, queryable data
- Implement ETL/ELT pipelines (dataform) that feed our analytics layer and downstream AI models
- Set standards for data quality, schema evolution, and observability
- Optimize schemas, queries, and indexes for low-latency analytics at scale
- Develop APIs and backend services that serve insights generated from these pipelines
- Define engineering patterns around CI/CD, testing, monitoring, and deploy automation
What we look for
- Highly driven and love to build and prototype, side projects or experiments are a big plus
- 6+ years of experience building and shipping backend services, ideally in a fast-paced environment
- Strong Python skills, this is our primary backend language
- Comfortable designing workflows, scheduling jobs, and operating orchestration tools
- Enjoy owning problems end-to-end in a dynamic, iterative environment where things move quickly
- Excited to work at the forefront of LLMs
- No industry knowledge required, it's a really fun domain though, and we can't wait to teach you
Technical skillset
Must: Python, REST APIs, Data pipelines (custom or Airflow/etc.)
Nice to have: PostgreSQL, GCP or AWS, SQLModel/Pydantic/FastAPI/Alembic/BigQuery, Terraform, Docker, GitHub Actions
02 Senior Data Scientist
We're hiring a Research Data Scientist to join us at an exciting early stage. You'll play a central role in helping us turn messy, real-world industry data into AI-driven insights and products. The role is a mix of data exploration, applied ML, and experimentation with LLMs. You'll be designing and running experiments, proving what works, and collaborating closely with engineers to turn research into production-ready systems.
What you will do
- Wrangle large, messy datasets from legacy systems and real-world processes into structured, usable formats
- Design, run, and evaluate experiments with rigorous statistical methods to validate hypotheses and measure business impact
- Build and prototype ML models for forecasting, optimization, and recommendation across domains like sales, inventory, and operations
- Explore and fine-tune large language models (LLMs) for practical use cases in industry workflows
- Collaborate with engineers to take promising research into production, ensuring models are robust, scalable, and trustworthy
- Contribute to a culture of experimentation, documenting results, sharing learnings, and driving the science behind our product decisions
What we look for
- You believe data is the foundation for innovation, and love analyzing and modeling it to find unexpected insights that can drive business impact
- You bring a scientific mindset (Master/PhD in math/science degree), rigorous about experimentation, evidence, and statistical reasoning
- 4+ years of hands-on experience in data science, ML engineering, or applied research OR a PhD in a science plus 2+ years of experience
- Comfortable designing and running experiments with proper baselines, controls, and statistical evaluation
- Excited to explore and apply LLMs in practical, business-focused contexts
- Thrive in a dynamic, iterative environment where things move quickly and research gets put into action
- No industry knowledge required, you'll learn the domain as you go, and it's a fascinating one
Technical skillset
Must: Python, familiar with common data science/ML libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face), experiment design, evaluation metrics
Nice to have: LLM fine-tuning, prompt engineering, SQL/PostgreSQL
Don't see your role?
We are always looking for exceptional people across engineering, design, and go-to-market. Tell us what you would build and where you would have the most impact.