Beamery
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Recently posted jobs
Artificial Intelligence • HR Tech • Software
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.
Artificial Intelligence • HR Tech • Software
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.
Artificial Intelligence • HR Tech • Software
As an Account Executive at Beamery, you will build and maintain relationships with top-tier clients, sell enterprise software solutions, and drive new business through strategic conversations with decision-makers, while collaborating with internal teams to enhance customer value.
Artificial Intelligence • HR Tech • Software
Build and maintain product reporting and dashboards, partner with product managers to analyze usage, adoption and retention, maintain product analytics stack (Pendo, Hex), enable PM self-serve, design and instrument LLM/AI agent workflows and automation, evaluate emerging AI tooling and document reproducible agent architectures.
Artificial Intelligence • HR Tech • Software
Lead the data platform's technical strategy and architecture, design analytics/semantic/AI data layers, set modelling and reliability standards, drive observability and data quality, mentor senior engineers, and coordinate cross-team modernization and incident response.



