Lead Product Manager

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit 

Job Description

What is this position about? 

• Own long-term product scope, defining epics and features, ensuring end-to-end use cases and workflows are captured, intent/capabilities are delivered, and the product is continuously validated 

• Drive results that deliver user delight and drive products toward product-market fit 

• Anticipate, identify, and address risks and blockers that could impede engineering progress 

• Work with clients and users to capture business requirements at the least necessary level of detail to support rapid delivery cycles 

• Support Engineering and Client collaborative working sessions and capture of feedback 

• Triangulate engineering, user testing and feedback, AI evaluation to deliver ship ready features 

• Monitor progress and % complete against longer term roadmaps and structure functionality and supporting dev ops & SRE work into work sprints and releases that deliver incremental value to the client 

• Act as the first user of solutions, routing feedback and results to Workstream Leads and business partners for prioritization 

• Monitor engagement and retention metrics to track product-market fit evolution 

• Triage user feedback back to engineering teams and subject matter experts 

• Operate seamlessly across strategic (quarterly scope, OKRs) and tactical (sprint mechanics, documentation) horizons simultaneously 

• Translate technical constraints and trade-offs into business language for client and executive stakeholders 

• Facilitate prioritization decisions across competing client, engineering, and business demands 

• Own and maintain product documentation (specs, roadmaps, release notes) as the single source of truth across teams 

Qualifications

• Proven product management experience delivering new software from conception through MVP and beyond in cross-functional, multi-stakeholder environments 

• Strong written and verbal communication skills with demonstrated documentation discipline 

• Ability to capture complex customer journeys clearly and iterate them based on feedback 

• Comfort defining and tracking success metrics, and making "good enough to ship" calls in ambiguous conditions 

• Expert stakeholder management across client PMO/QE teams, engineering, and domain experts 

• Demonstrated comfort developing products in highly regulated environments with significant consideration for risk, compliance, and legal issues 

• Initiative, curiosity, and adaptability to thrive in evolving AI product environments 

• Working familiarity with AI/LLM product development including prompt design, evaluation frameworks, and the practical limits of model-based features 

• Track record of shipping incrementally in ambiguous, evolving scope rather than fixed-spec environments 

• Comfort managing up and across in client organizations without formal authority 

Nice-to-haves: 

• Prior engineering or technical background 

• Hands-on experience with agentic AI or LLM-based products 

• Familiarity with Azure DevOps (ADO) for backlog and sprint management 

• Experience collaborating with SMEs who author or contribute to products directly