Remote Jobs at Typeform

Candidates should possess 7+ years of experience in digital product design, previous experience in B2B SaaS, and a specialization in 0-to-1 product development, not just feature improvements. They should be confident with the end-to-end design process, from discovery to execution, proficient in designing visually appealing and intuitive user interfaces, and have experience conducting user research, usability testing, and incorporating feedback into design iterations. Previous experience working …

Candidates should have 3-5+ years of experience in data science, ML, or applied statistics within a B2B SaaS environment, with experience collaborating with Product, Engineering, or Marketing teams to ship user-facing AI features or data products. Strong programming skills in Python and experience with ML libraries like scikit-learn, XGBoost, PyTorch, or TensorFlow are required, along with demonstrated ability to design, train, and validate models using structured and unstructured data, and stro…

Candidates should have 6+ years of experience in data science, machine learning, or a related field, with at least 1-2 years in a leadership or technical mentorship role. A proven track record of delivering ML-powered product features or decision-support systems in a production environment is required, along with a strong foundation in statistics, experimentation, causal inference, and proficiency in Python and its libraries.

The ideal candidate will have 7+ years of experience in analytics or data engineering, with at least 2 years in a team lead or management role. Deep expertise in SQL, dbt, and modeling data sets in cloud data warehouses such as Snowflake, BigQuery, or Redshift is required. Experience with tools like Looker, Census, and workflow orchestrators like Airflow or Dagster, as well as familiarity with Python for scripting, is also necessary.

Candidates should have extensive hands-on experience with AI/ML systems, including building and deploying models in production environments. Fluency in Python and comfort with GoLang and TypeScript stacks are required. Familiarity with modern AI tooling and services, particularly LLMs, RAG pipelines, agentic AI architectures, and cloud platforms like AWS, is essential. The ideal candidate thrives in high-autonomy environments, can define direction and make architecture decisions, loves solving c…