Beamery Benefits Overview

Own and improve matching, recommendation, and taxonomy-mapping models for Beamery’s talent data platform. Responsibilities include building evaluation datasets and metrics, conducting scientific experiments, tracking technical and business performance, writing tested Python code, reviewing AI-generated code, researching LLM and recommender-system advances, and communicating findings to product, engineering, and business stakeholders.

Own Beamery’s Data Foundry vision, strategy, roadmap, and commercial model. Define platform capabilities, data contracts, APIs, MCP access, governance, security, and privacy standards. Partner with product, data science, data engineering, integrations, sales, and customer success teams to prioritize delivery, validate customer needs, establish go-to-market plans, and measure business and customer value. Lead development of trusted, explainable AI and data products for enterprise workforce and talent use cases.

Manage simultaneous enterprise customer implementation projects from kickoff through closure. Responsibilities include defining scope, success plans, requirements, schedules, budgets, and communication; tracking progress, risks, resources, and issues; managing contracts and change control; coordinating internal and customer stakeholders; leading escalations and reporting; and conducting post-implementation reviews. The role partners with Product, Engineering, Solutions Delivery, and Customer Success to deliver successful software deployments, with up to 30% travel.