Engineering Leader

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Environmental Management Authority

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🛡️ Insurance

💼 Consulting

Healthcare • Insurance • Consulting

Environmental Management Authority (EMA) is a company that specializes in offering advanced artificial intelligence solutions for business automation and enterprise productivity. Their flagship product, 'Ema', is a Universal AI Employee designed to boost productivity by learning, adapting, and evolving to fit various roles within an organization. With features like conversational AI configuration, a pre-built library of agents, and integration with numerous applications, EMA enables companies to streamline complex workflows efficiently. EMA emphasizes trust, security, and compliance, providing customizable private AI models with advanced data governance and top-tier encryption. The company services a range of sectors including healthcare insurance and fintech, making it a versatile choice for enhancing business operations across different industries.

📋 Description

• Manage and scale multiple product lines in Voice, BPO, and Workforce Management • Report directly to the Head of Engineering • Own the engineering organization building infrastructure for Voice AI Employees, Agent QA, auto-learning pipelines, analytics, and workforce optimization • Architect scalable multi-tenant systems with data residency, isolation, and compliance requirements • Design high-throughput ingestion systems for voice data, call metadata, and operational telemetry • Make architectural decisions on data stores, stream processing, and storage tiers • Champion SOLID principles, clean architecture, code quality, testing, extensibility, and maintainability • Recruit, hire, develop, and manage engineers and engineering managers • Establish engineering standards and code review culture • Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams • Own end-to-end engineering for AgentQA, including real-time voice pipelines, telephony integrations, and voice-to-action workflows • Build Agent QA capabilities for automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops • Design auto-learning systems with feedback loops, retraining triggers, and quality regression detection • Deliver voice analytics, performance dashboards, metric reporting, and anomaly detection • Build scalable voice pipelines across geographies while addressing PII, security, and compliance • Build workforce-management capabilities for demand forecasting, shift scheduling, real-time adherence, and capacity planning • Design optimization algorithms for headcount modeling, skill-based routing, and workload balancing • Partner with ML/AI teams on predictive models for call volume, attrition risk, and staffing efficiency

🎯 Requirements

• 12+ years of software engineering experience • 4+ years leading engineering teams of 8+ engineers at high-growth startups or top-tier tech companies • Deep expertise in building real-time, data-intensive systems • Strong foundation in relational databases, time-series stores, columnar analytics engines, and caching layers • Experience building quality software using AI-driven tools and workflows • Track record of taking products from 0→1 and iterating rapidly based on customer feedback • Hands-on proficiency with SOLID principles, clean architecture, and design patterns • Experience with scalable multi-tenant SaaS platforms, data isolation, geo-distributed deployments, and SOC 2, GDPR, and HIPAA compliance • Experience building high-volume ingestion systems using event-driven architectures, stream processing such as Kafka or Flink, and batch/real-time hybrid pipelines • Strong product sense in contact center, voice, and workforce domains • Proven ability to hire, develop, and retain high-caliber engineers across multiple disciplines • Experience in voice/telephony systems, WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms is a plus • Background in operations research or optimization is a plus • Experience building analytics platforms is a plus • Prior work on auto-learning or continuous improvement systems is a plus • Experience with AI/ML-powered enterprise products is a plus • Familiarity with WFM or contact center operations is a plus

🏖️ Benefits

• Competitive compensation • Meaningful equity • Certain roles may be eligible for variable compensation and benefits • Equal employment opportunity commitment