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You will build and prototype AI-powered tools to improve data and marketing workflows while developing reliable LLM pipelines. Additionally, you will create data agents that provide insights and assist users with complex analytics questions.
Join a product engineering team building AI-powered tools for data and marketing workflows. You will explore new product ideas, prototype quickly, and develop reliable AI systems that help users get insights and take action using their own data.
Build proofs of concept to explore how AI can improve data and marketing workflows.
Work with a small team to prototype and ship product ideas, helping establish new product capabilities.
Make architectural and framework choices for AI-powered features and production LLM pipelines.
Evaluate where different models and AI methods are effective within the product.
Develop data agents that answer analytics and data science questions using customer data.
Study user workflows and create seamless AI-assisted experiences.
Five to twelve years of software engineering experience building core products, ideally in AI or machine learning contexts.
Strong backend engineering skills and experience applying machine learning in product or engineering work.
Experience with complex AI applications beyond straightforward retrieval-augmented generation.
Product engineering experience in a fast-moving startup or growth-stage environment, with a record of increasing scope.
Strong product intuition, customer focus, clear communication, and structured problem-solving.
Experience building products from inception through iteration, such as as an early engineering hire or founder, is valuable.
Base salary: $200,000 to $320,000 annually. Visa sponsorship is available.
Remote, United States.
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