--- title: 'Engineering Leader at Ema' canonical: 'https://feeny.ai/job/engineering-leader-ema-united-kingdom-0pkrba3j842v' type: 'job' last_seen: '2026-09-16' --- # Engineering Leader at Ema - **Company:** Ema - **Location:** United Kingdom - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.ashbyhq.com/ema/6debf9aa-ad1c-4fa8-878f-df222bc789b8 ## Job description ## About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. ## The Role We are looking for an Engineering Leader to manage and scale multiple product lines in the Voice, BPO, and Workforce Management space. This is a high-impact leadership role that sits at the intersection of real-time voice systems, operations research, and data-intensive platform engineering. You will report directly to the Head of Engineering and own the engineering organization that builds the infrastructure powering Ema’s Voice AI Employees, Agent QA, auto-learning pipelines, rich analytics, and workforce optimization capabilities — all operating as scalable, multi-tenant systems deployed across global geographies. You will collaborate with Product, ML/AI, and Go-to-Market teams to translate customer needs into production systems that handle high volumes of voice data, deliver real-time insights, and continuously improve through automated learning loops. As the owner of multiple product lines, you will balance roadmap priorities across Voice, BPO operations, and WFM (work force management) — ensuring each product evolves cohesively while meeting distinct customer needs. ## What You Will Do Scalable Multi-Tenant Systems - Architect and build multi-tenant systems that serve enterprise customers across geographies with strict data residency, isolation, and compliance requirements. - Design high-throughput ingestion systems capable of processing large volumes of voice data, call metadata, and operational telemetry in near real-time. - Make foundational architectural decisions on data stores, stream processing, and storage tiers — balancing query performance, cost, and operational simplicity. - Champion SOLID principles, clean architecture, and engineering rigor across all codebases — ensuring systems are testable, extensible, and maintainable at scale. ## Team Building & Engineering Culture - Recruit, hire, and develop senior engineers across a multi-disciplinary function spanning voice engineering, backend systems, data engineering, and applied operations research. - Establish engineering standards, code review culture, and a strong bias toward shipping — with equal commitment to system reliability and customer experience. - Coach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales. - Drive cross-functional alignment with Product, ML/AI, and Go-to-Market teams to ensure the platform evolves in lockstep with customer needs and market feedback. Voice Platform & Agent QA - Own the end-to-end engineering for Ema’s AgentQA capabilities — real-time voice pipelines, telephony integrations, and voice-to-action workflows. - Build and scale the Agent QA platform: automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops. - Design auto-learning systems that continuously improve voice agents from production interactions — closed-loop feedback, model retraining triggers, and quality regression detection. - Deliver rich voice analytics: call volume trends, handle time distributions, first-call resolution metrics, agent performance dashboards, and anomaly detection. - Build scalable voice pipeline across geographies – keeping in mind PII, security and compliance requirements. Workforce Management & Operations Research - Build WFM capabilities including demand forecasting, shift scheduling, real-time adherence monitoring, and capacity planning — applying operations research techniques to optimize workforce utilization. - Design and implement optimization algorithms for headcount modeling, skill-based routing, and workload balancing across multi-site, multi-timezone contact center operations. - Partner with ML/AI teams to integrate predictive models for call volume forecasting, attrition risk, and staffing efficiency. ## What We Look For Required - 12+ years of software engineering experience, with 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: relational databases, time-series stores, columnar analytics engines, and caching layers — with the judgment to choose the right tool for the workload. - 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 — you write and review production code and lead by example on system design. - Experience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA). - Track record of building ingestion systems for high volumes of load — event-driven architectures, stream processing (Kafka, Flink, or equivalent), and batch/real-time hybrid pipelines. - Strong product sense: ability to deeply understand customer problems in contact center, voice, and workforce domains and translate them into clean technical solutions. - Proven ability to hire, develop, and retain high-caliber engineers across multiple disciplines in competitive markets. Good to have - Experience in voice/telephony systems: WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms. - Background in operations research or optimization: scheduling algorithms, linear/integer programming, constraint satisfaction, or demand forecasting models. - Experience building analytics platforms: OLAP systems, real-time dashboards, metric computation engines, or BI infrastructure. - Prior work on auto-learning or continuous improvement systems: feedback loops from production data, automated retraining pipelines, or quality monitoring systems. - Experience with AI/ML-powered products in enterprise settings — agentic automation, LLM orchestration, or AI-driven UX. - Familiarity with WFM or contact center operations — staffing models, Erlang-based capacity planning, or real-time adherence systems. ## Why Ema - Build at the intersection of Voice AI, operations research, and enterprise-scale systems — a rare combination of deeply technical challenges with direct customer impact. - Shape the engineering foundation of a category-defining AI platform — your architectural decisions will power how the world’s largest enterprises run their voice and workforce operations. - High-impact, high-visibility role with direct access to the Head of Engineering, co-founders, and enterprise customers. - A team of exceptional engineers from Google, Meta, Microsoft Research, and top CS programs worldwide. - Competitive compensation, meaningful equity, and the opportunity to build something that matters. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. ## About Ema ## Company Overview - **One-liner**: Ema provides a universal agentic control plane that enables enterprises to build, deploy, and scale autonomous AI agents to automate complex workflows across every business function. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: March 2023 - **Founders**: Surojit Chatterjee (Co-Founder & CEO), Souvik Sen (Co-Founder & CTO) ## Core Business - **Primary industry**: Enterprise AI Software / Generative AI / Agentic AI - **Target customers**: Large enterprises across healthcare, financial services, legal, and technology sectors (B2B, Enterprise) - **Mission or purpose statement**: To give business and IT leaders one place to build, deploy, and scale AI Agents across every function—HR, Finance, Sales, Customer Support, Legal, and beyond. The company believes the future of work is "humans multiplied by AI Employees," not humans replaced by AI. ## Products & Services - **Ema Universal Agentic Control Plane**: A platform for building, deploying, and scaling AI Agents across all enterprise functions. - **EmaFusion™**: A patented AI fusion layer that blends 100+ LLMs to optimize for accuracy, cost, and latency on every query, without vendor lock-in. - **GWE™ (Generative Workflow Engine)**: The orchestration core that breaks complex enterprise workflows into multi-agent steps, with built-in human-in-the-loop, audit trails, and async operations. - **Enterprise Context Graph**: Deep, permissioned memory across an organization's data, systems, and processes so every AI Employee knows the business from Day One. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $75 million (across multiple rounds) - **Seed Round** (March 2024): $25M led by Prosus Ventures and S32 - **Series A** (July 2024): $36M led by Accel and S32 - **Additional Series A** (March 2026): $14M from 9 investors - **Notable Investors/Partners**: Accel, S32 (Section 32), Prosus Ventures, Hitachi Ventures, KPMG (strategic investment) - **Growth Signals**: - Employee headcount grew 89.2% year-over-year to 155 people. - Operates in 6 countries (US, India, UK, Canada, UAE, Germany). - Trusted by global enterprises across highly regulated industries. - Holds certifications including ISO 42001 (world's first AI management standard), SOC 2 Type II, ISO 27001, and HIPAA. - Supports on-premises and air-gapped deployment, a significant differentiator for security-conscious enterprises. ## Competitive Advantages - **EmaFusion™ Technology**: A proprietary multi-model approach that blends over 100 LLMs, optimizing for accuracy, cost, and latency while avoiding vendor lock-in. - **Enterprise-Grade Security & Compliance**: One of the few agentic AI platforms that supports on-premises and air-gapped deployment, with certifications like ISO 42001, SOC 2 Type II, ISO 27001, and HIPAA. - **Deep Enterprise Integration**: Pre-integrated with 200+ enterprise systems, with a permissioned "Enterprise Context Graph" that provides deep, institutional memory. - **Strong Strategic Backing**: Backed by top-tier VCs (Accel, S32) and a strategic investment from KPMG, signaling strong enterprise credibility. ## Strategic Focus - **Product Expansion**: Continuing to build out the agentic AI platform to cover more enterprise functions and workflows. - **Enterprise Adoption**: Deepening relationships with large, regulated enterprises (healthcare, financial services, legal). - **Global Scale**: Expanding operations across key markets (US, India, UK, Canada, UAE, Germany) to support a global customer base. - **Trust & Compliance**: Maintaining and expanding certifications (ISO, SOC 2, HIPAA) to meet the highest enterprise security standards. ## Why Work Here - **Culture**: Ema describes itself as an "AI-first" company that hires "fewer people with a hunger and growth mindset" and augments the human workforce with AI employees. Core values include being innovative, trusted, relentlessly driven, and bold. - **Engineering Philosophy**: The company has a published "Engineering Manifesto" and emphasizes hiring "builders and creators." They believe a "10x team is better than a 10x individual" and operate with a "no wait, no boundaries" approach. - **Work Environment**: "Everyone builds" is a key principle—employees are expected to write software, create original content, and build new processes regardless of their formal role. - **Remote/Hybrid Policy**: Not explicitly stated, but offices are located in the SF Bay Area (US), India, UK, and Canada, suggesting a global, likely hybrid-friendly setup. - **Talent Pool**: The company attracts talent from top tech companies (Google, Meta, Amazon, Coinbase, Databricks) and top universities (IIT Delhi), indicating a high-caliber peer group. - **Open Roles (as of mid-2026)**: 32 active job postings, including roles in ML Engineering, Backend Engineering, DevOps, Product Management, Security & Compliance, and Marketing. ## Sources 1. [ema.ai/careers](https://www.ema.ai/careers) 2. [jobs.ashbyhq.com/ema](https://jobs.ashbyhq.com/ema) 3. [Crunchbase - Ema](https://www.crunchbase.com/organization/ema-8724) 4. [LinkedIn - Ema](https://www.linkedin.com/company/ema-unlimited) 5. [Tracxn - Ema](https://tracxn.com/d/companies/ema/__ksb3jUKrtsxUjw6V-pJ_Daac843jAQUG62LqeRWEGJ0) ## Other roles at Ema - [IT Engineer](https://feeny.ai/job/it-engineer-ema-bengaluru-as35e1896yzq) — Bengaluru, India - [Head of Customer Engagement](https://feeny.ai/job/head-of-customer-engagement-ema-san-francisco-pqc150cce1p8) — San Francisco, CA - [Revenue Operations Lead](https://feeny.ai/job/revenue-operations-lead-ema-united-states-2g847c4jvf54) — United States - [Partner Manager - UK](https://feeny.ai/job/partner-manager-uk-ema-united-kingdom-wjefgt06nw9f) — United Kingdom - [Product Manager, UK](https://feeny.ai/job/product-manager-uk-ema-united-kingdom-c5rn0ymc65x6) — United Kingdom - [Product Manager](https://feeny.ai/job/product-manager-ema-united-kingdom-c92vm7dwg3xh) — United Kingdom - [AI/Data Resident](https://feeny.ai/job/ai-data-resident-ema-india-b0n50fg8697n) — India - [Head of Partnerships & Alliances, North America](https://feeny.ai/job/head-of-partnerships-alliances-north-america-ema-united-states-es1ew2we43qx) — United States - [Senior Support Specialist- UK](https://feeny.ai/job/senior-support-specialist-uk-ema-united-kingdom-h366sdasgw6h) — United Kingdom - [AI Application Engineer (Contractor role)](https://feeny.ai/job/ai-application-engineer-contractor-role-ema-san-francisco-b186ea5rxq17) — San Francisco, CA