Product Manager responsible for defining the roadmap and outcomes for Story Engine at Wonder Studios. Collaborating closely across teams to build AI-native media tools.
Responsibilities
Articulate the product vision for how Story Engine evolves across pre-production → production → post → transmedia
Turn company goals and production needs into a clear, sequenced roadmap with measurable outcomes
Design new product surfaces that unlock fundamentally faster and more expressive ways for creatives to build, iterate, and ship stories in the AI era.
Ensure Story Engine becomes trusted and stable as a production tool—not just exciting demos
Keep Engineering, Creative/Production, and customer-facing stakeholders aligned on what matters
Define the north star for Story Engine and communicate it simply to the team and stakeholders
Lead product discovery: customer interviews, shadowing, rapid prototyping, and validation with real productions
Partner with Engineering + Design to ship end-to-end features: clear specs, crisp tradeoffs, tight feedback loops, great UX
Establish the product operating cadence: quarterly direction, monthly milestones, weekly priorities, demos, and learning loops
Define and drive the product requirements and decision framework for the core platform primitives that make Story Engine powerful
Drive launches: internal rollouts with productions + external releases with clear positioning and narrative
Evolve Story Engine into a sticky, client-facing product with the reliability, onboarding, permissions, and value packaging required to scale as a B2B SaaS platform.
Requirements
3–5+ years in product (or equivalent) with experience owning a core surface end-to-end
Have shipped products in one or more of: creative tools, collaborative software, media pipelines, developer tools, or AI-native workflows
Can run discovery deeply (not performatively): you care about workflows, constraints, edge cases, and what actually ships
Have strong product craft: UX judgment, prioritization, crisp writing, and the ability to make tradeoffs without thrash
Are technically fluent: you can partner with engineers on architecture, data models, reliability, and integration patterns
Thrive in early-stage environments: ambiguity, speed, directness, and high ownership.
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