• Partner directly with enterprise customers to deeply understand their workflows, challenges, and goals. • Translate complex customer needs into clear, structured AI solution plans using Unframe’s platform. • Own end-to-end delivery of AI-powered projects alongside engineers and AI specialists. • Write detailed product specs and define prompt/context structures that drive solution behavior. • Balance speed, scalability, stability, and customer impact when making product decisions. • Identify repeatable patterns and collaborate with the Platform team to improve and scale reusable capabilities. • Act as the voice of the user throughout the entire product lifecycle.

• Build with AI, hands-on. • Run a real experimentation loop. • Own the delivery cadence. • Shape and scope the work. • Drive business success.

• Drive Discovery and Research: Conduct market and user research within the digital forensics space to inform product direction. • Collaborate Across the Product Lifecycle: Partner with cross-functional teams—supporting discovery, ideation, prioritization, development, release, and iteration. • Foster Innovation and Learning: Promote a culture of continuous improvement, experimentation, and growth. • Partner Closely with Design & Engineering: Engage deeply with technical and design counterparts to ensure that solutions are thoughtful, viable, and user-centered. • Use Data to Inform Decisions: Rely on both qualitative and quantitative data to shape decisions, identify opportunities, and help prioritize enhancements. • Champion the User Voice: Advocate for user needs while balancing business goals. • Adapt and Help Shape the Team: As part of a scaling company and growing product function, you’ll help lay the foundation for a strong product culture. • Support Remote Collaboration: Actively contribute to a healthy, communicative, and well-aligned remote team through clear collaboration.

• Architect and own the multi-year strategy and vision for the Pindrop Platform, aligning Product, Engineering, and Executive Leadership around long-term platform priorities and business outcomes. • Define how shared platform capabilities — including AI/ML services, APIs, integrations, observability, identity, security, entitlements, orchestration, and configuration management — evolve to support enterprise-scale growth. • Drive prioritization across foundational platform investments, customer-facing platform services, and innovation initiatives while balancing scalability, reliability, security, and cost optimization, while establishing platform governance models, product operating frameworks, and execution standards to elevate consistency. • Collaborate with GTM leadership to define commercialization strategies, positioning, messaging, packaging, and launch plans for customer-facing platform capabilities. • Regularly engage with customers and partners who consume platform capabilities (e.g., Pindrop Intelligence APIs, data services) to understand use cases, workflows, and unmet needs. • Manage organization goals, business metrics, and KPIs for the platform, including adoption, reliability, performance, and developer experience.