Job Description
About Sharpist At Sharpist, our mission is clear: to empower everyone to lead a self‑aware career and life. We make coaching accessible for all – anytime, anywhere. We’re building a hybrid coaching experience : genuine 1:1 coaching for empathy and accountability, combined with an AI Coach for quick insights, follow‑ups, and in‑the‑moment support. Our goal: to make coaching scalable – not to replace humans, but to enhance them. Human and intelligent. 🎥 Meet our AI Coach in action — and see how Sharpist empowers leaders and talents to grow every day: The Role You get a business problem and you own it from there: solution concept, PRD, implementation, release, and measuring whether it worked. No hand-off, no shipping blind. We're working toward a one-week cycle, but we're not there yet. We'd rather ship at ~70% and learn from real usage than polish in private. The hard part isn't the coding. It's the synthesis: going from a fuzzy problem to a technically sound, scoped solution fast enough to keep the cycle moving. That's where most engineers slow down. That's the gap this role fills. LLMs handle a growing share of the implementation. What they can't replace is the judgment to know when the architecture is wrong, when an abstraction won't hold, when a shortcut becomes next quarter's incident. Catching that before it's built, not after. What you’ll do First 30 days: Get deep into the Sharpist product: the AI Coach, the coaching platform, the learner journey Audit existing solution concepts and PRDs; understand what's shipping and why Shadow one full problem-to-delivery cycle with the engineering team Ship your first small improvements or bug fixes First quarter: Own your first problem end-to-end: define the problem space, design the solution, write the PRD Use LLMs as a core workflow tool: prompt for specs, evaluate for efficiency and soundness, iterate Work directly with engineers to ensure what gets built matches what was intended Talk directly to users and stakeholde
