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Ema is building an Agentic AI platform to transform enterprise productivity by enabling organizations to delegate repetitive tasks to AI employees. Founded by former executives from Google, Coinbase, Flipkart, and Okta, the company is backed by Accel, Naspers/Prosus, Section32, and angels including Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley with offices in London, Bangalore, and Vancouver, Ema operates at the frontier of production-grade Agentic AI.
You will lead multiple product lines in Voice, BPO, and Workforce Management, reporting directly to the Head of Engineering. You own the engineering organization building infrastructure for Voice AI Employees, Agent QA, auto-learning pipelines, analytics, and workforce optimization—all as scalable, multi-tenant systems deployed globally.
Key responsibilities include architecting multi-tenant systems with strict data residency and compliance requirements; designing high-throughput ingestion systems for voice data and operational telemetry; building voice platform capabilities including real-time pipelines, telephony integrations, and Agent QA (automated call scoring, compliance monitoring, sentiment analysis); implementing auto-learning systems that improve agents from production interactions; delivering rich voice analytics (call volume, handle time, first-call resolution, agent performance, anomaly detection); and building workforce management capabilities including demand forecasting, shift scheduling, adherence monitoring, and optimization algorithms for headcount modeling and skill-based routing.
You will recruit and develop senior engineers across voice engineering, backend systems, data engineering, and operations research; establish engineering standards and code review culture; coach senior/staff engineers into technical leaders; and drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams.
Required: 12+ years software engineering experience with 4+ years leading teams of 8+ engineers at high-growth startups or top-tier tech companies. Deep expertise in real-time, data-intensive systems; strong foundation in data stores (relational, time-series, columnar, caching); experience building scalable multi-tenant SaaS with data isolation and compliance (SOC 2, GDPR, HIPAA); track record building ingestion systems for high volumes using event-driven architectures and stream processing (Kafka, Flink); strong product sense in contact center and voice domains; proven ability to hire, develop, and retain talent.
