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Design and run rigorous research on recruiting funnels, selection and assessment validation, and interviewer calibration. Build metrics frameworks, analytics solutions, dashboards, and presentations to inform recruiting strategy and measure impact while ensuring ethical handling of candidate data.

Lead technical design and delivery of enterprise-facing AI products end-to-end. Partner with product, design, sales, and research to turn enterprise workflows into shipped features, set architecture and standards, mentor engineers, and build extensible integrations, plugins, and multi-step agents for organizational use.

Own delivery of GTM systems roadmap for Salesforce-centric sales and partner workflows: prioritize, sequence, manage dependencies, partner with analysts and developers, report risks/progress, and integrate AI (Claude) into GTM tooling.

Lead architecture, automation, and ecosystem integration for Treasury systems: design a treasury data foundation, evaluate/implement TMS or internal builds, automate cash and payment workflows (Claude-powered), ensure SOX-compliant controls, and partner across Treasury, Finance, Engineering, banks, and vendors. Manage roadmap, vendor relationships, and unblock one to two finance systems engineers while driving projects from design through production.

Own vision, strategy, roadmap, and execution for research-driven AI products. Partner with research and engineering to productize models, identify high-potential use cases, synthesize user insights, and ship model capabilities that solve real-world problems.

The role involves owning the technical strategy for developer productivity, designing reliable distributed infrastructure, and leading complex developer infrastructure projects.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

Build and scale infrastructure and data pipelines for Safeguards ML research. Own training, evaluation, and scoring workflows, design researcher-facing tooling, ensure correctness and reliability, productionize high-value research workflows, and improve throughput, cost, and reliability of large-scale inference and scoring workloads while partnering with researchers.

Provide commercial legal support for AI safety, research, and go-to-market agreements. Draft, review, and negotiate enterprise and research contracts, build contract templates and playbooks, partner with Sales, Policy, Safeguards, and Research teams, identify and escalate legal risks, and stay current on AI-related legal developments.

Drive user acquisition, engagement, retention, and monetization by building full‑stack growth features, designing and running A/B experiments, analyzing user data, and collaborating with product, marketing, and data teams to scale AI products.