Job Description

Product Instructor - Agentic AI Builder

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

Location:

Bangalore (Hybrid)

About Ema

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Ema is redefining how work gets done by building the next generation of

agentic AI technology

that empowers every employee to be their most creative and productive. Our Universal AI Employee automates repetitive tasks, enabling enterprises to focus on strategic initiatives.


Founded by ex-Google, Coinbase, and Okta executives and backed by the world's top investors and angels, Ema is well-positioned to revolutionize enterprise productivity. We are headquartered in Silicon Valley, with a rapidly growing team in Bangalore. Our hybrid work environment encourages innovation and collaboration across geographies.

Role Overview

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


As a

Senior Technical Trainer / Developer Educator (Product Instructor)

for Ema's

Agentic AI Builder

, you will lead the design and delivery of a world-class enablement program that helps customer engineering teams

learn, build, deploy, and operate

AI agents independently.


This is not a traditional training role. You'll blend

strong technical depth

(APIs, integrations, cloud, debugging, production operations) with

instructional excellence

to create structured training, hands-on labs, and certification frameworks that accelerate customer adoption and reduce long-term dependency on Ema.


You will partner closely with Product Engineering, AI Application Engineering, Solution Architects, and SRE/DevOps to ensure enablement is

accurate, practical, enterprise-ready, and continuously evolving

with the Agentic AI Builder roadmap.

Key Responsibilities

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

1. Training Enablement Program (Core Ownership)

Own and evolve the

role-based enablement curriculum

for the Agentic AI Builder (Developer, Admin/Ops, Security/Compliance). Deliver instructor-led training (virtual/on-site), interactive workshops, and structured office hours. Create progressive learning paths that cover:

+ Agentic AI Builder fundamentals and mental model (agents, tools, workflows, policies/guardrails)
+ Builder UX + developer workflows (templates, debugging, testing)
+ Integrations and enterprise connectivity (APIs, events, webhooks, connectors)
+ Observability and quality (logs, traces, evaluation, prompt/agent debugging)
+ Release lifecycle (environments, versioning, change management)
+ Production readiness (reliability, scaling, incident response)

2. Hands-On Labs, Capstones, and Sample Assets

Build and maintain hands-on labs, sample agent projects, reference implementations, and quickstart guides. Create capstone exercises that reflect real enterprise use cases (e.g., ticket triage, HR ops, finance approvals, IT automation). Maintain "golden paths":

+ Starter templates (agent patterns, tool usage patterns)
+ Integration examples (auth, secrets, external APIs, eventing)
+ Debugging and evaluation workflows
Ensure labs are runnable across customer environments with minimal friction.

3. Certification & Skill Milestones

Define skill milestones and certification criteria aligned to the engagement phases:

+

Training Certified (Build-ready)

+

Guided Build Certified (Co-build capable)

+

Production Certified (Operate-ready)

Build assessments: knowledge checks, hands-on practical tests, and rubric-based evaluations. Partner with Customer Success / Enablement leads to track certification progress and intervene when teams fall behind.

4. Guided Build Reinforcement (Coaching in Real Implementations)

Reinforce training concepts during Guided Build by pairing with customer developers and teams. Help customers adopt best practices for:

+ agent design and decomposition
+ tool creation and integration reliability
+ prompt / policy / safety guardrails
+ testing, evaluation, and regression control
+ release and rollout strategies
Identify recurring customer pitfalls and convert them into improved training modules and reusable assets.

5. Production Enablement & Operational Readiness (Assisted Production)

Collaborate with SRE/DevOps to create production enablement content:

+ operational runbooks and SOPs
+ monitoring and alerting checklists
+ incident simulations, escalation playbooks
Teach customers to run the Agentic AI Builder at enterprise scale:

+ handling failures, timeouts, retries
+ managing secrets, permissions, and audit logs
+ performance and throughput considerations
+ governance: review gates, standards, and approvals

6. Feedback Loop Into Product & DX Improvements

Act as a "field signal amplifier" for the Agentic AI Builder:

+ synthesize feedback from training, labs, and office hours
+ highlight product gaps, UX friction, documentation needs
+ propose improvements to reduce onboarding time and support tickets
Partner with engineering to ensure enablement content stays current with releases.

Required Skills & Qualifications

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

8-12+ years

of experience as a software engineer, solutions engineer, product engineer, solution architect, or developer advocate--plus

3-5+ years

in technical training, enablement, or mentoring roles. Strong experience building and operating

enterprise SaaS products

, APIs, and integrations. Proven ability to translate complex systems into clear learning paths and hands-on labs. Comfortable teaching both:

+ builder-driven workflows (templates, config, guardrails), and
+ engineering workflows (APIs, debugging, CI/CD, testing).
Strong understanding of cloud systems (AWS/GCP/Azure), auth (OAuth/JWT), observability, and production operations. Excellent communication and facilitation skills with enterprise engineering audiences.

Nice to Have

Experience with agentic systems, orchestration frameworks, or AI automation products. Familiarity with LLM evaluation, regression testing, prompt/agent debugging methodologies. Prior experience enabling external enterprise customers at scale.

What Success Looks Like (Outcomes & Metrics)

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Customer teams reach "Build-Ready" certification faster (reduced time-to-proficiency). Higher % of customer-led build tasks (reduced dependency during Guided Build). Higher "first-time-right" production readiness (fewer go-live escalations). Fewer repeat support questions due to better labs/docs/self-serve paths. Improved adoption and expansion due to confident internal champions.

Why Join Ema

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Shape how enterprises adopt and scale agentic AI--directly influencing customer outcomes. Work at the intersection of

AI product engineering, developer experience, and education

. High ownership: build the enablement engine for a rapidly evolving product. Partner closely with world-class engineers, applied AI teams, and product leaders. Competitive compensation, meaningful ownership, and rapid career growth.

Ema's Culture & Values

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High Bar on Quality

- We value excellent, production-grade thinking.

Ownership & Accountability

- You own results, not just training sessions.

Impact-Driven Approach

- Enablement success is measured by customer independence.

Team Collaboration & Growth

- We learn fast and teach each other. *

No Hierarchy, Just Execution

- We move quickly, stay humble, and deliver.