Beamery

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About
Beamery is a comprehensive AI platform designed for global workforce transformation, enabling enterprises to transition from traditional job-based structures to agile, skills-based organizations. By unifying fragmented data from various HR systems, the platform creates a dynamic source of truth regarding the skills, roles, and tasks within a company. It leverages proprietary AI to analyze talent data in real-time, allowing businesses to make informed decisions about where talent is needed most and how to best utilize their existing workforce to meet strategic goals. The platform operates through a suite of integrated tools, including a Talent CRM, Sourcing and Matching capabilities, and a specialized Agentic AI Consultant. These features work in tandem to automate the talent lifecycle—from initial recruitment and candidate engagement to internal redeployment and upskilling. By using "skills as a currency," Beamery helps organizations look past static job titles to find the true potential of individuals, facilitating better matches between talent and opportunity while reducing the risks associated with poor quality data. Beamery is primarily built for large-scale enterprises with complex HR ecosystems, particularly those using platforms like Workday or SAP SuccessFactors. It serves several key personas: Executives use it for strategic workforce planning; HR leaders leverage it to manage risk and talent development; and recruiters utilize its AI matching to fill roles faster with higher-quality candidates. The platform is designed to meet the highest standards of enterprise compliance and ethical AI, providing transparency that is critical for legal and risk management teams. What sets Beamery apart is its "Agentic AI" approach and its deep focus on workforce intelligence. Unlike simple applicant tracking systems, it provides a holistic view of both external talent markets and internal employee capabilities. This allows organizations to not only hire the best people but also proactively retain and redeploy them, significantly increasing employee tenure and driving a high return on investment. Its focus on "Potential over Experience" provides a more equitable path to workforce growth, ensuring that opportunities are allocated based on what people can do rather than just where they have been.
Pros & Cons
Delivers a reported 467% return on investment over a three-year period for enterprise customers.
Certified integrations with major HR platforms like Workday and SAP SuccessFactors ensure seamless data synchronization.
Utilizes ethical AI and maintains compliance with global standards, including the EU AI Act.
Provides a unified 'source of truth' by connecting fragmented data across skills, roles, and market trends.
Proven scalability for massive global organizations, supporting workforces of 75,000+ employees.
Pricing is not transparent and requires a custom demo request for all enterprise levels.
The platform's complexity likely requires a significant time investment for implementation and enablement.
Functionality is highly tailored to large enterprises, making it potentially unsuitable for small or mid-sized businesses.
Use Cases
HR Leaders can use the platform to integrate unified skills data and ethical AI into their hiring, upskilling, and retention strategies to proactively manage risk.
Recruiters at global companies can use AI-powered matching to identify top talent based on skills and potential, rather than just traditional job titles.
Executives can align their workforce strategy with their business vision by using real-time insights into skills supply and demand to mitigate talent risks.
Talent Acquisition teams can build and nurture pipelines of passive talent to ensure they are ready to activate when specific vacancies arise.
Internal mobility managers can use skills mapping to identify employees suitable for redeployment, reducing the need for external hiring.
Platform
Features
• talent analytics
• skills intelligence
• talent crm
• job design & calibration
• sourcing & matching
• talent market insights
• task intelligence
• agentic ai consultant
FAQs
What is workforce intelligence?
Workforce intelligence is the use of real-time data and AI to understand the skills, tasks, and potential of your people. It allows organizations to connect talent strategy to business outcomes and plan for future workforce needs with accuracy.
How does Beamery integrate with existing HR systems?
Beamery provides deep, certified integrations with major enterprise systems like Workday and SAP SuccessFactors. These connections allow for unified data flow, enhancing your existing ecosystem with dynamic skills and talent intelligence.
Is Beamery's AI compliant with regulations like the EU AI Act?
Yes, Beamery is designed with ethical AI at its core and adheres to the highest compliance standards, including the EU AI Act. The platform is regularly audited for bias and security to ensure responsible talent matching.
What is the typical ROI for a Beamery implementation?
According to enterprise case studies, customers have seen a 3-year ROI of 467%. Additionally, the platform can help reduce time-to-fill for roles by up to 30% and increase employee tenure by 2.5x.
What is the difference between reskilling and upskilling in the platform?
Upskilling involves teaching employees new skills for their current roles, while reskilling prepares them for entirely different positions. Beamery uses task intelligence to determine which path is most effective for closing specific organizational gaps.
Pricing Plans
Enterprise
Unknown Price• Workforce Intelligence Suite
• Agentic AI Consultant
• Talent CRM
• Skills Intelligence
• Task Intelligence
• Talent Market Insights
• Sourcing & Matching
• Talent Marketing
• Talent Analytics
• Standard Integrations
Job Opportunities
Principal Engineer
Transform your enterprise workforce with AI-powered skills intelligence to optimize hiring, improve internal mobility, and align talent with business outcomes.
Benefits:
Company culture built on trust, empathy & honesty
Ensuring workforce is able to bring their full selves to work
Inclusive culture where everybody can contribute
Experience Requirements:
Proven track record of designing and delivering scalable cloud-based software
Experience of running and supporting services in production environments
Previous experience as an individual contributor in an Engineering leadership position (Staff+, Principal, Architect, etc.)
Strong experience building and operating backend systems in complex environments
Expertise with Javascript/Typescript and Node.js
Other Requirements:
Ability to collaborate with non-technical colleagues
Strong understanding of caching strategies for backend services and message queues
Exposure to DevOps, incident management and CI/CD pipelines
Experience with Kafka and exposure to SQL and NoSQL databases
People leadership / mentorship / coaching
Responsibilities:
Design solutions, produce architectures and write RFCs
Maintain hands-on credibility by helping teams ship scalable, performant software
Partner with Product and Engineering Directors on planning by scoping and sizing
Create and update the architectural vision that will deliver on Beamery’s strategy
Coaching and mentoring Engineers all the way up to Staff level
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Senior Platform Engineer (SRE/Cloud)
Transform your enterprise workforce with AI-powered skills intelligence to optimize hiring, improve internal mobility, and align talent with business outcomes.
Benefits:
Trust, empathy & honesty focused culture
Ensuring workforce is able to bring their full selves to work
Inclusive culture where everybody can contribute
Experience Requirements:
Hands-on SRE experience, including being on-call
Experience managing Kubernetes production clusters at scale
Proven track record of implementing security best practices (RBAC, Network Policies)
Experienced with Infrastructure as Code (IaC) principles, particularly Terraform
Expertise in building and maintaining complex applications in the cloud
Other Requirements:
Operational experience with Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio is desirable
Pragmatic problem solver
Solid software engineering foundations with preference for Go or NodeJS
Responsibilities:
Building and evolving Platform’s managed services and tools
Driving continuous improvement in incident response (SLOs, alerting, dashboards)
Designing scalable and secure solutions to complex problems
Providing technical leadership and mentorship to other engineers
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Senior Software Engineer (Tenant Management)
Transform your enterprise workforce with AI-powered skills intelligence to optimize hiring, improve internal mobility, and align talent with business outcomes.
Benefits:
Built on trust, empathy & honesty
Workforce able to bring full selves to work
Inclusive culture
Experience Requirements:
Strong experience building and operating backend systems in complex environments
Expertise with Javascript/Typescript and Node.js
Basic understanding of caching strategies and message queues
Exposure to DevOps, incident management and CI/CD pipelines
Experience with Kafka and exposure to SQL and NoSQL databases
Other Requirements:
Experience debugging and troubleshooting issues using instrumentation and logs
Impact-focussed mindset aligned with agile principles
Sense of empathy for users, teammates, colleagues and partners
Desire to help the team work better together
Responsibilities:
Designing, developing, and operating high-integrity backend micro-services
Evolve the Admin Portal functionality for self-service tools
Ensure strong data integrity, security, and access control mechanisms
Execute on projects end to end from discovery through operations
Continuously improve product, technology, and teamwork
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Ratings & Reviews
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