Engineering Leader

Ema Unlimited
London
Workplace: RemoteFull timeFunction: Administration & Executive AssistanceSkills: ["Leadership","Engineering rigor","Cross-functional collaboration","Product sense","Systems thinking"]

Own and scale the engineering organization behind an agentic voice AI platform, building multi-tenant infrastructure that runs real-time voice pipelines, Agent QA, analytics, and automated learning loops. Lead a multi-disciplinary team across voice systems, backend and data engineering, and operations research to deliver high-throughput ingestion, compliance-ready data isolation, and optimization for workforce management. Partner closely with Product, ML/AI, and go-to-market teams to translate customer needs into production systems across geographies.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Ema Unlimited
Ema Unlimited
4 days ago

Engineering Leader

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Own and scale the engineering organization behind an agentic voice AI platform, building multi-tenant infrastructure that runs real-time voice pipelines, Agent QA, analytics, and automated learning loops. Lead a multi-disciplinary team across voice systems, backend and data engineering, and operations research to deliver high-throughput ingestion, compliance-ready data isolation, and optimization for workforce management. Partner closely with Product, ML/AI, and go-to-market teams to translate customer needs into production systems across geographies.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Manage and scale multiple product lines in Voice, BPO, and Workforce Management, aligning roadmap priorities while evolving products cohesively.
  • •Architect and build scalable multi-tenant systems for enterprise customers across geographies with strict data residency, isolation, and compliance.
  • •Own end-to-end engineering for Agent QA, including real-time voice pipelines, telephony integrations, automated call scoring, compliance monitoring, sentiment analysis, and feedback loops.
  • •Design auto-learning systems for continuous improvement of voice agents via closed-loop feedback, retraining triggers, and quality regression detection.
  • •Build workforce management capabilities using operations research techniques for forecasting, shift scheduling, adherence monitoring, capacity planning, and optimization algorithms.

Pay and Benefits

Equity and Bonus:Equity

Key Requirements

  • •12+ years of software engineering experience, including 4+ years leading engineering teams of 8+ engineers at high-growth startups or top-tier tech companies.
  • •Deep expertise building real-time, data-intensive systems and making foundational architectural decisions for data stores, stream processing, and storage tiers.
  • •Experience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA).
  • •Hands-on proficiency writing and reviewing production code using SOLID principles, clean architecture, and design patterns.
  • •Track record taking products from 0→1 and iterating rapidly based on customer feedback, while hiring, developing, and retaining high-caliber engineers.
Experience:SaaSReal-time systemsEnterprise AIVoice/telephonyData-intensive systemsMulti-tenant platformsOperations research
Skills:LeadershipEngineering rigorCross-functional collaborationProduct senseSystems thinking
Tech Stack:KafkaFlinkRelational databasesTime-series storesColumnar analytics enginesCaching layersSOLIDClean architectureDesign patternsEvent-driven architecturesStream processingBatch/real-time hybrid pipelinesWebRTCSIPVoice-over-IP infrastructureOLAPReal-time dashboardsBI infrastructureErlang-based capacity planningLinear/integer programming

Company Brief

Ema Unlimited
Builds an enterprise agentic AI platform (Ema) that creates AI employees to automate complex workflows across customer support, HR, finance and other functions, with a focus on security, compliance, and model fusion for high accuracy.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 1.5
WebsiteLinkedInGlassdoor