summation - Staff Product Engineer

• 8+ years of software engineering experience, including 4+ years of dedicated, hands-on front-end product development — building products, not solely platform or library work. • Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company • A track record of shipping to internal or external users and iterating based on their feedback • Strong communication and problem-solving skills, ability to work with cross-functional teams • Proficiency in Python, TypeScript, JavaScript, or similar languages • WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 6 MONTHS • First 30 days: You've ramped on the codebase, product, and customers, shipped your first meaningful improvements, and formed a clear point of view on the state of the front end and where it needs to go. • 60 days: You've identified the highest-leverage gaps in the existing front-end architecture and started addressing them, sharpening the patterns the team builds against while shipping polished, customer-facing features alongside the CTO and Founding Designer. • 90 days: The quality and performance bar you've raised is visible in the product, interfaces feel faster and more cohesive, and your refined patterns are becoming how the team builds by default. • 6 months: You're the clear owner of the front end. You've meaningfully leveled up the architecture you inherited, shipped ambitious data-dense features customers rely on, and influenced product direction beyond just the front end. • Hands-on experience building interfaces backed by LLMs or agent frameworks • Background in analytics, data visualization, or AI-driven products • Familiarity with financial software, models, or data • Experience leading or mentoring engineers (not required for this role) • LOCATION & WORK MODALITY • This is a hybrid role with a team based in Bellevue, Washington; however, we’re open to remote arrangements for candidates on a case-by-case basis • AI POLICY IN INTERVIEWS • We use AI pragmatically in our work, and we welcome you to do the same during interviews. You’re free to use AI tools for syntax, semantics, or general API questions. We ask that you not use AI to solve interview problems or generate substantive code or logic; we’re interested in how you think, communicate, and incorporate feedback.