Product Engineer, Full Stack

Product Engineer, Full Stack We are looking for engineers who understand the bigger picture and work across the stack: frontend, backend, design, and everything in between to create great products that users love - all the way from customers to forward deployed engineers (FDEs). Some broad questions that we are currently thinking deeply about: How does Insights pull narratives and trends out of factory operations data? How should the interface adapt to each facility's processes? How do we represent Laminar's impact at a plant accurately? How can we build internal products that are force multipliers for our FDEs? What You Will Do Collaborate with data science, backend, forward deployed engineering teams to ideate, collect feedback, prototype and productionize solutions on Insights that address challenges our customers are facing. Work with different customer profiles to build Insights functionalities for their personas and ensure end to end delivery and success of features built. Work with engineers, FDEs and leadership to identify friction points and build internal products that help FDEs move quickly, achieve customer goals, and understand the Laminar model stack. Deliver polished user-facing features with scalable UI components that help increase the interpretability of our ML models, add more observability into the processes running in our customers' factories, and more. Write clean, efficient, and well-documented code Always be on the lookout for how to improve application performance by adopting latest innovations in frontend frameworks, optimizing SQL queries, or refactoring backend API calls. About You 1-4 years of experience working with customer-facing products. Strong proficiency in React/Typescript and experience working with modern frontend tooling. Familiarity with Python for data visualizations, rapid prototyping Strong UX sensibilities and enthusiasm about building features that are performant, intuitive, and polished A self-driven, high ownership mentality to first, conceptualize the needs of customers with very different business needs and then, shipping solutions to production. An appreciation for simplicity and pragmatism when building software. Excellent communication skills and ability to work effectively in a collaborative in-person office in Boston. Benefits Direct impact on product and culture. Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more. 401k plan with employer matching Equity Competitive salary and bonus opportunities. Dynamic and inclusive work environment. Opportunities for growth and professional development. Access to Greentown Labs' extensive network of cleantech startups. $87,000 - $139,000 a year Our pay ranges are established per Pave Compensation Software. We're also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our stage. Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental, offers flexible PTO, a $90/month transportation benefit, a $65/month health and wellness benefit, FSA, 12 company-paid holidays, an employer-matching 401(k) (unheard of at this stage!), and Greentown Labs membership, among other valuable resources. (*subject to change) Our Interview Process 1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes) 2. Intro call with Hiring Manager (30 minutes) 3. On-site interview, including short tour of GTL, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually. 4. Finalists for Full-Time positions will have a Founder's Interview in-person Final steps: Two professional references are requested, ideally one from your current organization and one who served as your Manager If an Offer Letter is extended, a Background check is conducted