Company:
DataBeat
Location:
Hyderabad.
Experience:
5+ Years
Employment Type:
Full-time
Timings: US shift.
About the Role
At DataBeat, we help publishers, media companies, and AdTech platforms drive revenue and operational efficiency through data, analytics, and automation. We are now expanding into
AI-led workflow automation
and are looking for seasoned
AdOps or Customer Success Subject Matter Experts (SMEs)
who are ready to move beyond execution into
designing intelligence that scales
.
In this role, you will transform your deep operational expertise into
AI-powered agent workflows
. Rather than running day-to-day operations, you will define the logic, decision-making, and playbooks that enable AI agents to execute AdOps or Customer Success processes accurately and at scale.
This is a high-impact role at the intersection of
Media Operations, Process Design, and Applied AI
.
Key Responsibilities
1. Workflow & Process Decomposition
Deeply analyze end-to-end
AdOps or Customer Success workflows
across digital advertising, programmatic, or publisher operations.
Break down workflows into discrete steps, decision points, inputs, outputs, and exception scenarios.
2. AI Agent Logic & Playbook Design
Design the operational “brain” of AI agents by defining:
Task sequences
Decision rules and logic
Variations and edge cases
Convert real-world operational judgment into structured, executable logic.
3. Encode Domain Expertise
Use DataBeat’s platforms tools, including
low-code/no-code workflow interfaces
, to configure AI agents.
Translate manual processes into scalable, repeatable AI-driven workflows.
4. LLM Prompting & Instruction Design
Craft clear, precise, and consistent
LLM instructions and playbooks
that guide agent behavior, reasoning, and communication.
Define tone, response structure, escalation logic, and error handling.
5. Data & Integration Definition
Identify required
data points, reports, logs, and system inputs
needed for agents to operate effectively.
Collaborate with Data Engineers, Solution Engineers, and platform teams on integrations (GAM, SSPs, CRM, ticketing tools, etc.).
6. Agent Testing & Continuous Improvement
Participate in testing, validation, and refinement of AI agents.
Provide domain-driven feedback to improve accuracy, efficiency, and handling of complex scenarios.
7. Cross-Functional Collaboration
Work closely with:
Solution Engineers (technical build & debugging)
AI/ML teams (model behavior and constraints)
Client-facing teams (alignment with real-world operations)
8. Knowledge & Documentation
Create detailed documentation covering:
Agent scope and capabilities
Workflow logic and assumptions
Operational boundaries and escalation paths
Core Requirements
5+ years of hands-on experience
in:
Digital Advertising Operations (AdOps, Programmatic, Yield, Traffic, SSP/GAM),
OR
Customer Success Operations in SaaS, AdTech, Media, or Tech platforms
Deep understanding of
real-world operational workflows
, not just theory.
Strong
process-oriented mindset
with experience documenting SOPs, workflows, or playbooks.
Ability to break complex operations into
clear, logical, step-by-step instructions
suitable for automation.
Excellent logical reasoning and problem-solving skills, including anticipation of edge cases.
Strong communication skills to explain domain knowledge to technical and non-technical teams.
