Job Description

Who are we?

Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We're well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore.

Who are you?

You are a

Senior Support Engineer

who delivers world-class

post-deployment support

for product and solution deployments. You are highly customer-oriented, calm under pressure, and excellent at

triaging complex issues

,

reproducing problems

, and

driving cross-functional resolution

with Implementation and Engineering teams.


You act as the customer's advocate while ensuring issues are tracked, prioritized, and resolved with clarity, urgency, and high quality.

Roles and Responsibilities

------------------------------

Own customer-facing

incident management and escalations

for post-deployment enterprise accounts Triage incoming issues by gathering context, logs, steps-to-reproduce, and customer impact Create clear, actionable bug reports and support tickets with detailed reproduction steps and diagnostics Coordinate closely with

Implementation and Engineering teams

to drive timely issue resolution Track and manage SLAs and key support metrics including

FRT, TAT, AHT, and CSAT

Provide proactive, regular status updates to customers and internal stakeholders Communicate effectively with both technical and non-technical customer teams during incidents and escalations Identify recurring issues and contribute to improvements in documentation, runbooks, and support processes Maintain and enhance internal knowledge bases, troubleshooting guides, and escalation playbooks Validate fixes, coordinate customer confirmation, and support post-resolution follow-ups Participate in escalation and on-call rotations as required

Ideally, you'd have

-----------------------

Experience

4+ years of experience in

Support Engineering, Software Engineering, or Technical Customer Support

Hands-on experience supporting

AI/LLM-based applications

in production environments Experience configuring, deploying, or supporting

AI agents, workflows, or ML systems

Exposure to

prompt engineering

and iterative improvement of LLM outputs Experience running UATs or customer-facing evaluations for AI systems Proven ability to manage

complex enterprise customer issues independently

Familiarity with support metrics such as

FRT, AHT, TAT, CSAT

Strong production troubleshooting skills, including diagnosing AI performance and recommending improvements to accuracy and business KPIs

Technical Skills

Strong understanding of

LLM application architecture

, including:

+ Prompting patterns (system/instructions, few-shot, structured outputs, function/tool calling)
+ Agentic workflows and orchestration concepts

RAG fundamentals (chunking, embeddings, retrieval, reranking, context windows)
+ Evaluation concepts (golden datasets, offline/online evals, quality metrics, regression testing)
Ability to diagnose ML/LLM performance issues and recommend next-step experiments or mitigations (guardrails, routing, prompt adjustments, data fixes) Proficiency with

APIs and integrations

: JSON, REST (and SOAP where relevant), auth basics (tokens, OAuth), and troubleshooting payload/schema issues Good understanding of backend concepts that affect AI systems: latency, retries, timeouts, queues, rate limits, and distributed system failure modes Ability to read logs and understand API request/response flows Experience with ticketing, incident management, and customer communication tools

Soft Skills

Excellent communication skills

, both written and verbal Ability to work effectively with technical and non-technical stakeholders High ownership and accountability for customer outcomes Strong analytical and problem-solving mindset, especially under production pressure Curiosity and willingness to continuously learn new GenAI and automation techniques Collaborative team player who works seamlessly across Support, Engineering, Product, and Customer Success Deep

customer empathy

, always prioritizing real business impact

Equal Opportunity

Ema Unlimited Inc. is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.