{"id":620424,"url":"https://alion.io/job/ema-engineering-leader-2","title":"Engineering Leader","company":{"id":26744,"name":"Ema","domain":"ema.ai","url":"https://alion.io/company/ema","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":79,"open_postings":37,"ghost_share":0.27,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":142,"computed_at":"2026-10-14T06:34:16Z"}},"role":"HR","role_family":"HR","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Flink","optional":false},{"name":"GDPR","optional":false},{"name":"HIPAA","optional":false},{"name":"Okta","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"SOC 2","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Voice Agents","optional":false},{"name":"Erlang","optional":true},{"name":"LLM","optional":true},{"name":"WebRTC","optional":true}],"status":"live","first_seen_at":"2026-04-30T11:10:58Z","employer_posted_date":"2026-04-30","last_verified_at":"2026-10-14T22:32:13Z","board_verified":true,"closed_at":null,"days_open":167,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":166},"description":"About Ema\nEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. 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.\nWe are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, 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.\nThe Role\nWe 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.\nYou 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.\nYou 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.\nWhat You Will Do\nScalable Multi-Tenant Systems\nArchitect and build multi-tenant systems that serve enterprise customers across geographies with strict data residency, isolation, and compliance requirements.\n\nDesign high-throughput ingestion systems capable of processing large volumes of voice data, call metadata, and operational telemetry in near real-time.\n\nMake foundational architectural decisions on data stores, stream processing, and storage tiers - balancing query performance, cost, and operational simplicity.\n\nChampion SOLID principles, clean architecture, and engineering rigor across all codebases - ensuring systems are testable, extensible, and maintainable at scale.\n\nTeam Building & Engineering Culture\nRecruit, hire, and develop senior engineers across a multi-disciplinary function spanning voice engineering, backend systems, data engineering, and applied operations research.\n\nEstablish engineering standards, code review culture, and a strong bias toward shipping - with equal commitment to system reliability and customer experience.\n\nCoach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales.\n\nDrive 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.\n\nVoice Platform & Agent QA\nOwn the end-to-end engineering for Ema’s AgentQA capabilities - real-time voice pipelines, telephony integrations, and voice-to-action workflows.\n\nBuild and scale the Agent QA platform: automated call scoring, compliance monitoring, sentiment analysis, and coaching feedback loops.\n\nDesign auto-learning systems that continuously improve voice agents from production interactions - closed-loop feedback, model retraining triggers, and quality regression detection.\n\nDeliver rich voice analytics: call volume trends, handle time distributions, first-call resolution metrics, agent performance dashboards, and anomaly detection.\n\nBuild scalable voice pipeline across geographies - keeping in mind PII, security and compliance requirements.\n\nWorkforce Management & Operations Research\nBuild WFM capabilities including demand forecasting, shift scheduling, real-time adherence monitoring, and capacity planning - applying operations research techniques to optimize workforce utilization.\n\nDesign and implement optimization algorithms for headcount modeling, skill-based routing, and workload balancing across multi-site, multi-timezone contact center operations.\n\nPartner with ML/AI teams to integrate predictive models for call volume forecasting, attrition risk, and staffing efficiency.\n\nWhat We Look For\nRequired\n12+ years of software engineering experience, with 4+ years leading engineering teams of 8+ engineers at high-growth startups or top-tier tech companies.\n\nDeep expertise in building real-time, data-intensive systems.\n\nStrong 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.\n\nExperience building quality software using AI-driven tools and workflows.\n\nTrack record of taking products from 0→1 and iterating rapidly based on customer feedback.\n\nHands-on proficiency with SOLID principles, clean architecture, and design patterns - you write and review production code and lead by example on system design.\n\nExperience building scalable multi-tenant SaaS platforms with data isolation, geo-distributed deployments, and compliance requirements (SOC 2, GDPR, HIPAA).\n\nTrack 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.\n\nStrong product sense: ability to deeply understand customer problems in contact center, voice, and workforce domains and translate them into clean technical solutions.\n\nProven ability to hire, develop, and retain high-caliber engineers across multiple disciplines in competitive markets.\n\nGood to have\nExperience in voice/telephony systems: WebRTC, SIP, voice-over-IP infrastructure, or contact center platforms.\n\nBackground in operations research or optimization: scheduling algorithms, linear/integer programming, constraint satisfaction, or demand forecasting models.\n\nExperience building analytics platforms: OLAP systems, real-time dashboards, metric computation engines, or BI infrastructure.\n\nPrior work on auto-learning or continuous improvement systems: feedback loops from production data, automated retraining pipelines, or quality monitoring systems.\n\nExperience with AI/ML-powered products in enterprise settings - agentic automation, LLM orchestration, or AI-driven UX.\n\nFamiliarity with WFM or contact center operations - staffing models, Erlang-based capacity planning, or real-time adherence systems.\n\nWhy Ema\nBuild at the intersection of Voice AI, operations research, and enterprise-scale systems - a rare combination of deeply technical challenges with direct customer impact.\n\nShape 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.\n\nHigh-impact, high-visibility role with direct access to the Head of Engineering, co-founders, and enterprise customers.\n\nA team of exceptional engineers from Google, Meta, Microsoft Research, and top CS programs worldwide.\n\nCompetitive compensation, meaningful equity, and the opportunity to build something that matters.\n\nCompensation 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.\nEma 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.","description_format":"text","description_chars":7997,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-10T18:43:48Z"}],"visa":[],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.792,"p_room":0.44,"age_days":166,"expected_fill_days":142,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/ema-engineering-leader-2","json_url":"https://alion.io/job/ema-engineering-leader-2.json","meta":{"generated_at":"2026-10-14T23:57:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":419,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":26744},"rest":"https://alion.io/mcp/rest/get_company?id=26744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fema-engineering-leader-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fema-engineering-leader-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fema-engineering-leader-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ema-engineering-leader-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fema-engineering-leader-2"}]}