
201 - 500 employees
☁️ SaaS
👥 HR Tech
🏢 Enterprise
SaaS • HR Tech • Enterprise
beqom is a comprehensive compensation management platform designed to bring clarity, equity, and motivation to the workforce. Since 2009, beqom has been pioneering compensation technology solutions for enterprises by integrating pay management, transparency, and equity into a seamless system. Its cutting-edge platform utilizes AI to optimize compensation processes, offering precision, scalability, and compliance for businesses across all industries. With a focus on ensuring fair employee compensation aligned with performance, beqom supports organizations in managing total compensation costs effectively while maintaining global compliance standards.
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201 - 500 employees
☁️ SaaS
👥 HR Tech
🏢 Enterprise
SaaS • HR Tech • Enterprise
beqom is a comprehensive compensation management platform designed to bring clarity, equity, and motivation to the workforce. Since 2009, beqom has been pioneering compensation technology solutions for enterprises by integrating pay management, transparency, and equity into a seamless system. Its cutting-edge platform utilizes AI to optimize compensation processes, offering precision, scalability, and compliance for businesses across all industries. With a focus on ensuring fair employee compensation aligned with performance, beqom supports organizations in managing total compensation costs effectively while maintaining global compliance standards.
• Deliver features across multi-tenant data platform services, including data ingestion, schema management, effective dating, snapshots, calculated fields, and exports, exclusively through AI agents • Author structured, testable Product Requirement Prompts and specification files • Maintain the versioned specification library governing the codebase • Run multiple agents in parallel across workstreams • Evaluate agent outcomes against specifications • Improve agent first-pass success rate, defect escape rate, and changes merged without human review • Build and maintain the agentic pipeline, including the agent harness, blueprint engine, MCP tool layer, warm sandbox pool, and retrieval over code, tickets, and historical pull requests • Monitor token usage, task latency, and cost per pipeline run • Implement model-tier routing and cost-per-outcome gating • Embed governance through audit trails, feature ownership, and data-classification gates • Engineer external behavioural scenario suites, holdout sets, digital twins, layered AI-review gates, and automated remediation • Enforce performance constraints for bulk ingestion, large export streaming, memory behaviour, and complex SQL • Diagnose and resolve production data issues through agents in collaboration with Support and Engineering • Document specifications, scenarios, and pipeline decisions • Help other engineers adopt agent-driven development practices
• Senior-level experience building production backend services • Experience with .NET/C# and PostgreSQL systems • Demonstrable shift from writing code to directing AI agents; majority of recent production output should be AI-generated under the candidate’s direction • Hands-on mastery of AI coding agents, strongly preferably Claude Code • Experience with parallel agent sessions, custom skills, and sub-agents • Ability to structure codebases and context for reliable agent work • Excellence in writing precise, agent-executable Product Requirement Prompts (PRPs) and specification files • Strong verification engineering skills, including behavioural and scenario-based testing, holdout evaluation, quality gates, and validation frameworks • Strong architecture judgment covering performance, scalability, and reliability • Experience building agent infrastructure, including MCP servers, tool layers, sandboxed execution, and CI/CD for agent-driven workflows • Deep .NET/C# and SQL reading fluency • Knowledge of schema design, query plans, streaming versus buffering, and memory behaviour • Excellent written communication • Experience with digital twins or service virtualisations is a bonus • Experience with LLM evaluation at scale is a bonus • Multi-tenant SaaS architecture, CDC/event-driven ingestion, lakehouse, Azure, Docker, Kubernetes/Helm, AI code compliance frameworks, or compensation/HR/pay transparency experience are bonuses
• Dynamic, autonomous work environment • Collaboration with a passionate, diverse, and talented team around the globe • Opportunity to drive meaningful change by contributing to a fairer future for every employee • Career growth and opportunity to unleash ambition
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