Senior Support Specialist

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, Section
32, 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 elevate 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…