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The Strategic Business Development Lead is an IP attorney responsible for promoting Patlytics' AI solutions, growing client relationships, and presenting innovative patent-related strategies.

Own a core product area end-to-end for an AI-native patent platform: set strategy, research customers, translate patent workflows into scalable software, design and iterate on LLM prompts and AI agents, instrument outcomes, and drive adoption and retention while maintaining enterprise-grade accuracy and security.

Design end-to-end workflows for patent-focused AI products. Conduct user research with patent attorneys, prototype and test LLM-driven interfaces, surface verifiable AI insights, build scalable design systems, and drive designs from discovery through post-launch iteration.

Own the full enterprise sales cycle into law firms and in-house IP teams: qualify, demo, build ROI models, negotiate, and close multi-stakeholder deals. Partner with SDR/BD/marketing, present to executives, capture customer feedback to influence product and GTM, and help build the sales playbook while frequently attending in-person meetings and events.

Lead and scale customer success strategy across the customer lifecycle to drive adoption, retention, renewals, and expansion. Strengthen stakeholder relationships, implement churn-prevention processes, collaborate with GTM/Product/Engineering to surface customer insights, and eventually build and coach a high-performing customer success team.

Lead design and ownership of the end-to-end modern data stack across GTM, Marketing, Finance, and Product. Build a single source of truth, define canonical metrics, deliver executive dashboards and analytics, automate reporting, vendor selection/implementation, and partner cross-functionally to support forecasting, planning, and ad-hoc analyses for scale.

Serve as an experienced IP attorney bridging customers and product: run demos, lead pilots/POCs, translate patent workflows into product requirements, guide roadmap and QA, and produce customer-facing collateral while collaborating across Sales, Product, Engineering, Marketing, and Partnerships.

Build and deploy production LLM/ML pipelines for patent workflows: retrieval, multi-step prompt pipelines, evals frameworks, fine-tuning, agentic workflows, monitoring, and cloud deployment. Collaborate with attorneys and cross-functional teams to convert domain expertise into robust, scalable inference and data solutions.

Design, build, and maintain end-to-end full‑stack features across Python/FastAPI backend, Next.js frontend, and LLM inference pipelines. Collaborate cross‑functionally to deliver scalable AI-powered patent analysis, optimize performance, address production issues, and reduce technical debt while improving engineering practices.

Build and own end-to-end Revenue Operations: systems, data, processes, reporting, forecasting, comp plans, territory design, and GTM tech stack. Partner cross-functionally to scale sales, marketing, and customer success across global verticals and convert a high-velocity motion into repeatable, measurable revenue.