AI for product formulation
Last edited Jan 10, 2023. To learn more about us, check out Work at Potion.
Compensation : $150-$225k/ 0.5-2.0%
Location: San Francisco, CA
Experience: 3+ Years
We're looking for a versatile and experienced software engineer to lead the front-end development of our web-based application that allows customers to collect R&D data and query our AI models to simulate lab experiments and create entire optimized formulas. You will work directly with the founders and a small team of engineers, and as an early employee, you will have tremendous say and impact on the direction and prospects of our company.
Taking ownership of front-end development and working alongside other engineers on web applications (front-end experience with React.js and Node.js preferred, though we welcome anyone with interest in learning new tech stacks)
Writing clean, testable, scalable, efficient, and well-documented code in an agile environment (TypeScript, etc.)
Contributing to product roadmapping alongside the founding team and prioritizing features according to customer needs
Participating in architectural reviews to ensure proper balance of short-term and long-term trade-offs
Taking on an entrepreneurial mentality to independently identify and pursue opportunities for the organization
Creating the design system that Potion uses to develop a consistent look and feel for our products
You have high levels of self-awareness and empathy combined with a strong work ethic
You are a curious person with a strong desire to grow. You are passionate about solving complex problems in a rapidly changing environment and have an interest in keeping up with emerging technologies
You are comfortable taking designs and turning them into functional web components
You have made major contributions to full-stack engineering projects, preferably having started from scratch and worked through all phases of product development, from planning and design to execution and release
You are highly self-directed and resourceful, with experience working on collaborative teams and translating technical language and concepts to non-technical people
You have the ability to design and implement automated testing to ensure the production of robust code (Jest, Karma, Jasmine, Mocha, Lighthouse, etc.)
You value design and would enjoy building a web application that has the complexity of enterprise software combined with the user experience of best-in-class consumer products
You exhibit a willingness to test, learn, and iterate by validating new features and quickly moving on if they don't work
You have a general knowledge of most, and advanced knowledge of some, common web front-end technologies (HTML, CSS and preprocessors), module bundlers and front-end testing frameworks.
You have been in a "tech lead" position in the past and have experience taking product requirements and translating them into a technical plan
You have experience or interest in chemistry, AI, enterprise SaaS, or an end market in which we operate (e.g., beauty)
You have experience with hiring engineers
You have experience in or exposure to ML engineering
You have experience interfacing and collaborating with B2B clients and have a desire to continue doing so
You are proficient in server-side code and the design of web applications (e.g., APIs, source system extraction, deserialization, microservices, etc.)
Experience with front-end component libraries, Storybook, GraphQL, Nx, NestJS)
You are excited to have a hand in crafting company culture!
Potion is an equal opportunity employer and we deeply value the power of diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Potion helps R&D teams formulate products like cosmetics and paints. Our AI-powered platform replaces the current lab-based approach that is iterative, slow, and expensive. In Pharma, deep learning frameworks are being used to design molecules. Potion is using these proven methods to design formulas (global patent pending). We leverage historical R&D data to build these models, but plan to create our own lab to generate proprietary data.