Own the full product lifecycle for your scope - from problem identification through requirements, delivery, and launch.
Proactively engage with business operations teams to surface and understand pain points don't wait to be assigned a problem.
Translate ambiguous business needs into clear product requirements and prototypes that engineering teams can build against.
Build the case for your features clearly - with data where it exists, and with structured justification where it doesn't.
Frame features with key selling points and naming conventions to support senior management decision-making.
Manage stakeholders across business ops, regional product teams, and engineering without escalating unnecessarily.
Drive product launches end-to-end, including coordination across operations, communications, and business teams.
Support BAU activities including product support and UAT when the business needs it.
Explore and apply AI tools to your own workflows and product solutions.
Requirements:
2-4 years of experience in product management or a closely adjacent role - business analyst, product operations, or systems analyst with end-to-end ownership.
Demonstrated ability to identify a problem independently and drive it to resolution, not just execute on defined requirements.
Outcome-oriented: you write about what changed and why it mattered, not just what you did.
Strong analytical instincts able to build a credible case for action even when clean data is hard to obtain.
Clear communicator across audiences - you can present to an engineering team and to senior leadership with equal effectiveness.
Comfortable picking up new domains quickly the team operates across multiple product verticals and will deploy you based on business need.
Genuine curiosity about AI and its practical applications - in how you work and in what you build.
Bachelor's degree in Business, Engineering, or a related field.
