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Design, build, and operate AI agents, automations, and integrations for Faire's GTM stack. Own and extend Salesforce and GTM systems, partner with data teams to surface signals, ensure governance, monitoring, and guardrails, and drive adoption and operational reliability for revenue-facing workflows.

Lead strategic growth analytics across the retailer lifecycle, identify and prioritize acquisition and retention opportunities, run experiments and in-depth analyses, partner cross-functionally with Marketing, Product, Finance, and Engineering, own growth metrics and forecasting, and improve team processes and capabilities.

Lead GTM strategy and operations for Brand Success: set strategy, own key metrics, run cross-functional initiatives, and manage a small strategy & ops team. Drive analytics-backed recommendations, build scalable processes, and partner with Product, Marketing, Data Science, and Finance to execute high-impact growth initiatives.

Lead Faire's experimentation methodology and operating system, design and review high-stakes experiments, provide causal-inference alternatives when A/B tests aren't possible, troubleshoot anomalous results, and partner with engineering, data science, and product to improve experiment infrastructure and metrics.

Lead marketing analytics and attribution for paid and owned channels: manage attribution ETLs, design and analyze A/B tests, build payback/ROI models and dashboards, partner with finance, performance marketing, and product to set KPIs and recommend spend allocation.

Lead product strategy for Faire's data, ML, and AI platforms: run discovery with engineers and scientists, prioritize investments across training, deployment, observability, and data quality, define SLAs and data contracts, improve metadata/lineage/discovery, and drive safe AI adoption and platform productization to increase adoption and measurable user outcomes.

The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

Design, operate, and optimize a scalable ML platform: productionize ML workloads, implement governance (Unity Catalog), build CI/CD with Terraform and GitHub Actions, configure IAM/RBAC, establish observability, and enable data scientists to move models from notebook to production.

Lead a 15-person GTM/RevOps organization to define strategy, forecasting, territory design, and AI-enabled workflows. Own AI roadmap, build and validate automation tools, drive enablement and adoption, measure impact on rep productivity and pipeline, and hire and develop a high-performing team.

Lead design and production of next-generation search and personalized recommendation systems using LLMs, dense retrieval, transformers, GNNs, and MLOps. Drive model development, GPU-based deployment, and <100ms low-latency ranking while mentoring applied scientists and MLEs and collaborating cross-functionally to productize search experiences.