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 doFirst 30 days:Get deep into the Sharpist product: the AI Coach, the coaching platform, the learner journeyAudit existing solution concepts and PRDs; understand what's shipping and whyShadow one full problem-to-delivery cycle with the engineering teamShip your first small improvements or bug fixesFirst quarter:Own your first problem end-to-end: define the problem space, design the solution, write the PRDUse LLMs as a core workflow tool: prompt for specs, evaluate for efficiency and soundness, iterateWork directly with engineers to ensure what gets built matches what was intendedTalk directly to users and stakeholders to ground each p.