Product Manager
Healio Product Manager
- Lead the Discovery Process: You will guide the product discovery process, including market research, competitive analysis, and data analysis. Working with stakeholders, you'll define product requirements, determine technical feasibility in partnership with engineering, build P&Ls, establish clear success metrics, and effectively validate product concepts.
- Champion Product Execution: Work closely and iteratively with product owners, UX and development teams. You will provide clear direction, prioritize features based on value and user needs, and ensure the timely and high-quality delivery of product releases.
- Iterate and Optimize: You will leverage product analytics tools and user feedback to continuously measure product performance. You'll identify areas for improvement and make data-driven decisions to optimize user engagement, conversion rates, and overall product success.
- 2-3+ years of proven experience as a Product Manager, Associate Product Manager, or in a similar role with increasing responsibility.
- Proven experience managing SaaS, web-based, or digital products, including hands-on experience managing product backlogs in Jira (or similar Agile tools).
- A solid understanding of the product development lifecycle, from initial ideation through launch and iteration - driven by a genuine passion for creating exceptional, user-centric product experiences.
- Strong problem-solving abilities with a proven track record of interpreting data, drawing meaningful insights, and translating them into actionable product recommendations.
- Bachelor's degree.
- Demonstrated experience working effectively within cross-functional teams to build consensus and drive projects forward.
- Experience collaborating with third-party vendors, technology partners, or content providers, including managing external stakeholder expectations and timelines.
- Excellent communication, presentation, and interpersonal skills, with the ability to influence and align different teams around a shared vision.
- Familiarity with AI powered products, generative AI, or LLM-enabled user experiences.
- Experience working on AI features, prompt design, or evaluating AI capabilities.