• Architect signal-driven prospecting systems: Define how intent signals, firmographics, behavioral data, and CRM context combine into actionable prioritization and recommendations. • Hands-on, high-leverage builder: Write production code, lead complex initiatives end-to-end, and take systems from prototype to scale. • AI + systems thinking: Shape how ML and GenAI models integrate into deterministic workflows, balancing automation with transparency and user trust. • Product-shaping technical leadership: Influence what the product should be, not just how it’s built—partnering closely with Product to define surfaces, workflows, and tradeoffs. • Platform and extensibility mindset: Design systems that work across accounts, buying groups, and regions while remaining extensible and evolvable. • Cross-team influence: Work horizontally across CRM, data, AI, and GTM teams to align patterns and avoid local optimizations. • Raise the technical bar: Mentor senior engineers, guide architectural reviews, and turn incidents and failures into better system design.