We are seeking a Senior Staff Product Designer to completely own our virtual care and provider-facing experiences while driving the evolution of AI-native design at Maven. This role is focused on designing our provider tooling that our virtual care network of clinicians and other providers use during appointments. It's about identifying the right problems, setting and fully owning the design vision for multiple complex areas, making strategic calls under ambiguity, and leading high-impact initiatives that raise the bar for the team around you.
You'll bring deep AI fluency and use it to move faster, explore more broadly, and build more intelligently, while also mentoring others on how to work that way.
- Own the end-to-end experience across complex, cross-functional initiatives for our provider tooling and virtual clinic experience, from early concept through delivery, demonstrating exceptional decision-making and strategic thinking about scope, sequencing, and tradeoffs to drive results across projects.
- Define how AI should behave in high-stakes contexts: how it communicates uncertainty, when it defers to human care, and how it builds trust with members navigating emotionally charged decisions.
- Build functional, high-fidelity prototypes using AI-assisted coding tools (Cursor, Claude Code, or similar), and push others to move beyond static mockups.
- Develop scalable AI-powered patterns in a healthcare context — confidence indicators, human-AI handoffs, progressive disclosure — that become the standard across Maven's design system.
- Partner with Engineering, Product, Clinical, and Data at a strategic level: shaping model outputs into intuitive interfaces, influencing how problems are framed, and driving alignment across teams.
- Develop leaders within the design team and non-design partners, fostering independence, delegating effectively, and promoting leadership among peers.
- Identify and resolve cross-functional tensions, bridging gaps between design, clinical, and product perspectives.
- Strengthen community within and outside the design team by championing company-wide cultural initiatives.
- AI fluency: You use AI tools daily (Claude, Figma AI, Cursor, or similar) with strong prompting and synthesis skills. You're also helping others develop that muscle.
- Vibe coding: You can turn ideas into working prototypes using AI-assisted coding tools, and you're comfortable pushing the boundaries of what that looks like in a healthcare context.
- Technical depth: You've shipped code to production and can have an informed conversation about backend architecture, model behavior, and system constraints.
- Strategic craft: A portfolio that shows not just design quality but also evidence of strategic ownership: defining success metrics, navigating ambiguity, and influencing direction.
- Cross-functional leadership: You've driven complex projects across multiple teams and know how to create momentum without direct authority.
- Mobile and web: Experience designing for mobile applications and responsive web.
- Systems thinking: Ability to think beyond a flow and communicate a holistic system that can scale for any program
- Appetite for complexity: Energized by ambiguity and solving complex problems, and comfortable making calls when the path isn't clear.
- Deeply empathetic toward members and the providers who help them navigate their family building experience, a space that's emotionally intense, medically complex, and often uncertain.
- AI-native: you think in terms of what AI makes newly possible, and you bring others along in that thinking.
- Invested in the people around you. You want the team to be better because you're on it, and to make the team better by mentoring.
- Experience in healthcare, health tech, or regulated domains.
- Background working with ML and AI teams on model-driven products.
- Experience contributing to or building a consumer-grade design system, including Figma variables and advanced component architecture.
The base salary range for this role is $195,000-$230,000 per year. You will also be entitled to receive equity and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset.