GTM Automation Engineer
GTM Automation Engineer at Anakin — Bengaluru, KA, IN
- Company: Anakin
- Location: Bengaluru, KA, IN
- Employment type: FULL_TIME
- Salary: USD 800000–1200000 / year
- Posted: 2026-07-17
About this role
GTM Automation Engineer
Why this role exists
We are building a revenue engine that scales through systems, not headcount.
This role exists to design and harden the automation layer across the GTM stack — inbound, outbound, routing, enrichment, lifecycle transitions, alerts, dashboards, and workflow health. The goal is simple: GTM processes should run fast, correctly, and reliably, without silent failures, duplicate actions, or brittle logic.
This is not a classic RevOps admin role.
This is a builder role for someone who wants to own the automation infrastructure behind revenue execution — the layer that turns messy GTM intent into clean, auditable, scalable systems.
If you enjoy translating ambiguity into logic, preventing operational drift, and building workflows that survive real-world edge cases, this role is for you.
What you’ll own
You will own the systems and automation layer across the GTM lifecycle.
Core stack
You should expect to work across:
Workflow / orchestration: n8n, Make, Zapier, Workato, Tray.io, Retool
CRM / GTM systems: HubSpot, Close, Apollo, Clay, Airtable
Comms / collaboration: Slack, Gmail, Google Sheets, Notion
APIs / integration layer: REST APIs, webhooks, auth flows, OAuth
LLM / AI tooling: OpenAI, Claude, Gemini APIs
Scripting / validation: JavaScript / Python / SQL where needed
We do not expect you to blindly connect tools. We expect you to understand where automation ends and engineering judgment begins.
What the role actually involves
1) Architect and harden GTM automations
Build and maintain reliable workflows across marketing, sales, recruiting, and customer success functions.
This includes:
triggers
branching logic
routing
retries
fallback paths
failure alerts
manual review logic
auditability
You should think like a systems engineer, not just a workflow builder.
2) Own inbound automation
Design flows that capture, qualify, enrich, route, and follow up on inbound demand.
Examples:
form submissions
lead capture
meeting-booking triggers
enrichment flows
dedupe-safe lead creation
territory / segment based routing
SLA-sensitive follow-up
alerts only after successful downstream writes
Fast is not enough. Routing needs to be fast and correct.
3) Build outbound enablement workflows
Support SDRs and AEs with systems that reduce manual work and improve consistency.
Examples:
sequencing triggers
task creation
account research pipelines
personalization support flows
field completeness checks
stage-based nudges
leadership alerts
hygiene enforcement
The goal is not more workflow for the sake of workflow. The goal is cleaner execution with fewer misses.
4) Own data hygiene and governance
You will be the quality gate across GTM systems.
This includes:
deduplication logic
lifecycle stage definitions
property governance
naming conventions
ownership rules
access controls
audit checks
data quality reviews
You should care deeply about correctness. Silent data drift is a bug.
5) Build integrations with observability
Maintain integrations across internal and external systems using a mix of iPaaS, APIs, webhooks, and code where necessary.
You will also implement monitoring such as:
run failures
timeout alerts
duplicate-action checks
workflow uptime
broken data-flow detection
incident runbooks
A workflow that “usually works” is not production-grade.
6) Build the GTM truth layer
Create and maintain dashboards and operational reporting across the funnel.
Examples:
inbound volume
MQLs / SQLs
routing SLAs
pipeline creation
speed-to-lead
stage conversion
workflow failure rates
funnel leakage
enrichment quality
manual-review load
You should be comfortable building systems that are not only automated, but measurable.
7) Document systems that survive scale
Document:
workflow maps
integration dependencies
business rules
fallback logic
owner-routing logic
failure conditions
governance rules
change history
Good documentation should make the system easier to audit, extend, and debug.
What success looks like
In this role, success looks like:
GTM workflows run reliably without silent failure
duplicate actions are prevented
unclear GTM requests are converted into structured logic
routing is correct, fast, and auditable
manual work reduces without increasing operational risk
failures are visible early
the team trusts the systems you build
dashboards reflect reality, not guesswork
What we’re looking for
Must-have
Hands-on ownership of GTM automations across workflows, routing, lifecycle stages, enrichment, scoring, lists, dashboards, or system hygiene
Strong working experience with at least one orchestration / automation tool such as n8n, Make, Zapier, Workato, or Tray.io
Comfort with APIs, webhooks, and auth flows — not just tool-to-tool connections
Strong systems thinking and attention to detail; you think about edge cases, retries, validation, and failure paths before launch
Ability to convert messy GTM asks into structured logic and scalable workflows
Clear judgment on what should stay in low-code vs what needs custom logic or code
Reliability mindset — you do not ship workflows that “look right”; you ship workflows that hold up under real usage
Nice-to-have
Ability to script in JavaScript, Python, or TypeScript
Ability to use SQL for debugging, validation, or reporting
Experience building observability for automations — health checks, run alerts, diagnostics, dead-letter handling
Experience with AI-assisted GTM systems, agentic workflows, or LLM-based decision layers
Prior exposure to CRM hygiene, lifecycle governance, or GTM data-model design
Who will do well here
You will likely do well if you:
enjoy messy problems and ambiguous requirements
care about operational correctness
naturally think in failure modes and edge cases
like designing systems that other teams rely on
can move between GTM context and technical implementation
are comfortable being the person who says “this workflow is not safe to ship yet”
Who may not enjoy this role
This role may not be a fit if you prefer:
purely admin-style RevOps work
surface-level automation without debugging depth
tool operation without systems thinking
roles where requirements are always perfectly defined
shipping fast without pressure-testing logic
Why this role is exciting
Most GTM teams talk about efficiency. Very few build the systems layer that actually enables it.
In this role, you are not a downstream operator. You are building the automation and control plane that GTM execution runs on. You will shape how leads move, how handoffs happen, how failures surface, how data stays clean, and how the revenue engine scales.
This is a strong role for someone who wants to sit at the intersection of:
systems
automation
APIs
GTM logic
reliability
scale