Ema 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.
We 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.
Company: Ema Unlimited Inc.
Location: London
Employment Type: Full-time/Remote
Ema is building the world’s first Universal AI Employee — a production-grade agentic AI platform that automates real enterprise workflows across HR, IT, Finance, and Operations.
Ema’s customers do not run demos. They replace mission-critical, manual business processes with agentic AI systems that operate across multiple SaaS tools, APIs, and human-in-the-loop workflows.
In this world, support is not reactive. Support is production reliability, trust preservation, and system learning. At Ema, Senior Technical Support Specialists are operators of live AI systems, not ticket handlers.
The Senior Support Engineer owns the health, reliability, and trustworthiness of Ema’s deployed agentic AI systems in production. This role sits at the intersection of:
AI behavior
Workflow orchestration
Enterprise integrations
Customer trust
Engineering feedback loops
This is: ❌ Not L1 / call-center support, ❌ Not a “just escalate to engineering” role, ❌ Not reactive firefighting only
This is: A senior technical escalation role, A production debugging and RCA role, A partner to Engineering, Product, and Implementation, A role with real authority during incidents
You are the last line of defense between a production issue and customer trust erosion
You prevent small failures from turning into account-level crises
You ensure learnings from incidents improve the product and delivery systemically
Customers trust Ema because issues are handled competently and transparently
AI failures are explained, mitigated, and prevented — not hand-waved
Production stability improves over time, not degrades
You gain rare experience operating agentic AI systems in production
You build deep expertise across AI, integrations, and workflows
You can grow into Reliability Engineering, Implementation Leadership, or Product-facing roles
Diagnosing failures in multi-agent AI workflows
Deeply understanding Ema’s platform and providing workarounds/alternate approaches to customers facing issues
Debugging issues spanning:
AI behavior (false positives / negatives)
Workflow logic
Integrations (HRIS, ITSM, IAM, Finance)
Data quality
Platform configuration
Handling Sev-1 / Sev-2 customer specific incidents calmly under customer pressure
Help Engineering & Product teams Prevent repeated incidents through disciplined RCA
Converting noisy customer complaints into high-signal engineering feedback
Own customer-reported issues from intake to resolution adhering strictly to SLAs
Take responsibility for diagnosis, coordination, and closure; Importantly, provide workarounds to customers to unblock them while engineering fix is made
Ensure no issue is “lost” between teams
Act as technical owner even when multiple teams are involved
Debug agentic workflows end-to-end
Trace failures across agents, tools, integrations, and humans-in-the-loop
Identify whether issues are caused by:
Model behavior
Prompt / policy logic
Workflow orchestration
Integration constraints
Customer configuration
Provide clear, actionable root cause summaries
Resolve Sev 1 / Sev 2 Client issues; Escalate to the right team to help solve and close the issue. Keep customer communication calm, factual, and confidence-building
Communicate during incidents without speculation or panic
Explain AI failures in a way customers can understand
Set realistic recovery timelines
Rebuild trust post-incident through transparency and follow-through
Write high-signal bug reports and incident summaries
Advocate for fixes based on customer impact, not noise
Help Product understand real production behavior
Ensure support insights influence roadmap and quality improvement
Improve runbooks, playbooks, and diagnostics
Improve on-call hygiene and escalation clarity
Mentor junior support engineers
Raise the overall support bar at Ema
Excellent debugging instincts
Comfortable operating in ambiguous systems
Able to isolate root cause across layers
Issues do not bounce — they get owned
Calm during incidents
Bias toward permanent fixes
Knows when to escalate and when not to
Can say “we don’t know yet” credibly
Communicates clearly with both engineers and customers
Low ego, high accountability
Truth-seeking over blame
Respects both customer urgency and engineering quality
6–9+ years in senior technical support, reliability, or production engineering roles
Experience supporting enterprise SaaS platforms in production
Strong understanding of:
APIs and integrations
Distributed systems
Logs, traces, and diagnostics
Experience handling escalations and incidents
Customer-facing experience with senior stakeholders
Support or reliability roles in AI / automation platforms
Experience with workflow orchestration or agentic systems
Familiarity with AWS / GCP / Azure
Background in high-availability, 24×7 systems
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.