Engineering Leader

The role

You will manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. You will own the engineering organization building infrastructure for Voice AI Employees, Agent QA, auto-learning pipelines, and workforce optimization.

What you will do

• Architect and build multi-tenant systems for enterprise customers.
• Design high-throughput ingestion systems for voice data and operational telemetry.
• Make foundational architectural decisions on data stores and stream processing.
• Recruit, hire, and develop senior engineers.
• Establish engineering standards and code review culture.
• Coach and grow senior/staff engineers and engineering managers.
• Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams.
• Own end-to-end engineering for AgentQA capabilities.
• Build and scale the Agent QA platform.
• Build WFM capabilities including demand forecasting and shift scheduling.

Required qualifications

• 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 data stores and storage systems
• Experience building quality software using AI-driven tools and workflows
• Track record of taking products from 0 to 1 and iterating rapidly
• Hands-on proficiency with SOLID principles, clean architecture, and design patterns
• Experience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements
• Track record of building ingestion systems for high volumes of load
• Strong product sense in contact center, voice, and workforce domains
• Proven ability to hire, develop, and retain high-caliber engineers

Nice to have

• Experience in voice/telephony systems: WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms
• Background in operations research or optimization
• Experience building analytics platforms
• Prior work on auto-learning or continuous improvement systems
• Experience with AI/ML-powered products in enterprise settings
• Familiarity with WFM or contact center operations

Benefits

• Competitive compensation
• Meaningful equity

About the company

Ema builds AI Employees for HR, IT and Finance. The company is headquartered in Silicon Valley with offices in London, Bangalore and Vancouver.