Senior Software Engineer, Optimizer

Key Responsibilities

• Partner with product to surface and refine improvements in the optimizer’s core algorithm, model-builders, and the full-stack job orchestration framework built around it.
• Research, recommend, and implement extensions to the core optimization technology: leveraging new technologies (including generative AI and machine learning) to improve accuracy, speed, and accessibility for users.
• Lead major projects or initiatives as necessary while also supporting the product squad as a whole in meeting their goals. Drive the process of defining and disambiguating new opportunities when necessary.
• Provide technical leadership over at least some key areas of the stack for the optimizer squad, along with the wider engineering team.
• Exhibit and apply best practices around communication, collaboration, and project management to facilitate effective, timely, and high quality delivery of work.
• Troubleshoot customer issues and provide timely resolutions to ensure a seamless scheduling experience. Some limited on-call responsibilities may apply.
• Mentor and support junior engineers, promoting a culture of continuous improvement and collaboration.

Required Qualifications

• 4+ years of development experience, with a demonstrated track record of shipping value to customers while contributing across the stack as necessary.
• Prior success in driving software delivery on complex and challenging technology projects (partnering with product stakeholders, driving critical decisions, establishing project roadmaps and work tasks, presenting outcomes to external stakeholders, etc.).
• Depth of knowledge in at least some of the following areas, with a strong interest and capacity to learn in the others: Linear optimization modeling and solvers Application stacks built heavily on machine learning Product and infrastructure stacks leveraging generative AI Backend API and asynchronous task development
• Linear optimization modeling and solvers
• Application stacks built heavily on machine learning
• Product and infrastructure stacks leveraging generative AI
• Backend API and asynchronous task development
• An ability to dive into other critical parts of the stack when the product and team needs demand it, including: frontend engineering, cloud infrastructure, and data engineering.
• Demonstrated record of diving deep into complex product requirements and challenging technical domains and learning and contributing to them quickly.
• Proficiency in developing and maintaining scalable web applications, implementing unit and integration tests, and working with CI/CD pipelines.
• Strong communication and collaboration skills, especially in cross-functional environments.
• Commitment to continuous improvement: seeking out and welcoming code reviews, pairing, and collaborative problem-solving.
• Experience and comfort operating in a fast startup environment and all that entails: strong sense of ownership, self-direction, bias towards action, and optimizing for quick delivery of value and learnings for the business.
• Prior experience in EdTech is a plus but not required.
• Fully remote role with a preference for candidates based in NY or Boston.

Why Join Us