Top Tech Jobs & Startup Jobs

Perform outbound prospecting to generate and qualify leads within IP law firms and in-house IP teams. Design personalized outreach campaigns, conduct account research, maintain CRM data, collaborate with sales leadership, and relay customer feedback to inform product, marketing, and GTM strategies.

Lead and run the People function including HRIS and ATS administration, compensation and performance programs, employment compliance, global employment operations, recruiting for key roles, and employee relations. Partner with the CEO and execs on org design, leveling, and sensitive employee matters while evolving job architecture, comp bands, and reporting to scale a high-growth AI-legaltech company.

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.