Senior Product Manager - Data Experience
About The Position
Unqork empowers enterprises to accelerate growth by rapidly building, testing, and running applications that are designed to be AI-native. Trusted by the world’s largest organizations in highly regulated industries, these applications become more secure over time while significantly reducing technical debt—allowing businesses to focus on innovation rather than maintenance. Unqork’s customers include Goldman Sachs, Marsh, BlackRock, and the U.S. Department of Health and Human Services. At Unqork, we value inclusive and innovative thinkers who boldly challenge the status quo. We encourage you to apply! Role Overview: We are seeking a Senior Product Manager to lead the Data Experience at Unqork. This is a collaborative, platform-defining role focused on how creators plan, structure, and govern data within an AI-first, no-code environment. You will serve as the connective tissue between technical architecture, customer needs, and product strategy - ensuring that building complex, data-driven applications is seamless, intuitive, and secure
Requirements
- The Ultimate Collaborator: A "player-coach" who thrives in a matrixed environment. You believe the best ideas are born through rigorous debate and partnership, not top-down mandates.
- Experience: ~7 years in Product Management, specifically within developer platforms, IDEs, or complex data-heavy internal tools.
- AI & Data Fluency: Hands-on experience with modern AI tooling (LLMs, agents) and a deep understanding of data experience design (modeling, integration, management).
- Regulated Environment Savvy: Experience navigating the complexities of building software for industries with strict compliance, auditability, and risk requirements.
- Proactive & Organized: A subject matter expert who brings structure to ambiguity and proactively identifies dependencies before they become blockers.
- Humility & Subject Matter Expertise: You bring deep technical knowledge to the table but remain curious and open to feedback from customers and teammates alike.
- Relational Leadership: Ability to build trust quickly with Engineering and CX teams.
- Strategic Synthesis: Comfortable gathering disparate requirements from multiple stakeholders and distilling them into a cohesive roadmap.
- Systems Thinking: Ability to see how a change in the data model affects the entire creator ecosystem.
Responsibilities
- Partner to Define the Data Vision: Collaborate deeply with Data Engineering, Tech Leads, Product peers, and CX to co-create the mental model for how data is handled within our platform, from project structure to complex service integrations.
- Synthesize Customer & Internal Insights: Act as a bridge between our most sophisticated customers and our internal teams, translating high-level business requirements into usable, scalable data abstractions.
- Drive AI-Native Innovation: Work cross-functionally to design AI-native data interactions where natural language serves as a primary control surface for generating data models and troubleshooting workflows.
- Champion Governance & Compliance: In partnership with our security and legal teams, ensure data systems are inspectable and governable, specifically catering to the needs of enterprise-grade software in highly regulated environments.
- Facilitate Technical Success: Support technical architects and software creators by removing friction in the "planning → building → testing" lifecycle, ensuring our data tools align with real-world developer workflows.
Benefits
- 💻 Work from home with a remote-first community
- 🏝 Unlimited PTO (and the encouragement to use it)
- 📝 Student loan payback program
- 🏥 100% employer-covered medical, dental, and vision options available to you and your dependents
- 💸 Flexible Spending Account (FSA)
- 🏠 Monthly stipend toward your WFH setup, vacation, development and more
- 💰 Employer-sponsored 401(k) with contribution match
- 🏋🏻♀️ Subsidized ClassPass Membership
- 🍼 Generous Paid Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
