Software Engineer (Frontend / Backend / Systems / Full Stack)

About Sensei

Sensei is a private alpha, seed stage company imagining the next-generation of sales technology with AI. With a team of founders (experience early at Pure Storage, autonomous driving startups, high frequency trading, and more), Sensei is pushing the boundaries of what is possible in AI to increase efficiency in sales organizations.

Duties, Deliverables, and Responsibilities

- Architect & Build: Design, implement, and ship new features across the stack—frontend, backend, or full stack.

- Collaborate: Work closely with founders, machine learning engineers, designers, and system architects to plan and develop product features.

- Set Vision: Contribute to the long-term architectural vision and best practices for performance, scalability, and code quality.

- Rapidly prototype with Cutting Edge AI Leverage emerging technologies to push the boundaries of AI-driven development.

Expertise, Experience, and Background

- Degree or equivalent experience in Computer Science or Engineering, or related field.

- 5+ years of software development experience.

- Strong proficiency in modern programming languages (Python, TypeScript, JavaScript, Java, or Go)

- Highly skilled in TypeScript, React, NextJS, Remix, and other web technologies, and aren't afraid to explore corners of the web specs to get stuff done.

- Significant contributions to open source frameworks, languages, and/or technologies.

- Preferably have been on the founding team of a company and/or owned a product from zero to one. Startup experience is a requirement.

- Thrive in dynamic environments where ambiguity and priorities shift rapidly.

Why Join Us

- Impact: Help shape our product, culture, and company from the ground up.

- Growth: Collaborate with an experienced team pushing the boundaries of AI in a critical industry.

- Ownership: Enjoy significant autonomy, a collaborative culture, and meaningful equity.

- Innovation: Experiment with cutting-edge technologies, from front-end frameworks to ML pipelines.

- Fun Work Culture: We take our work seriously, but not ourselves — expect a fun, light-hearted environment, and a hard-working team trying to make the dream work.