Principal AI Go-to-Market Operations Engineer
REDZONE5+ yrsPuneHybridDirect career pageEst. 30–55 LPA
Posted on 8 Sept
Reach people at REDZONE
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at REDZONE you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Architect and deploy custom AI integrations connecting CRM, Sales Engagement platforms, and other GTM tech stack components to augment revenue workflows.
- Optimize the revenue ecosystem by auditing tech stack, reducing vendor spend, and implementing predictive AI models for pipeline and next-best-action recommendations.
- Collaborate cross-functionally with Customer Success, Marketing, and RevOps to automate administrative tasks and improve sales velocity and retention through AI-driven workflows.
Minimum Requirements
- 5+ years experience in Marketing/Revenue Operations or GTM Engineering with deep knowledge of SaaS leads-to-revenue funnels.
- Proficiency in coding production integrations using Python, JavaScript, HTML or equivalent to connect AI agents via APIs to CRM (Salesforce) and other GTM tools.
- Strong working knowledge of B2B GTM stack including Salesforce CRM, Clay, Claude, Outreach, Gong or Chorus.
- Work Experience Required: 5+ years in relevant domain. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and maintaining AI agent orchestration across multiple GTM functions with focus on data integrity and conflict resolution.
- Able to translate revenue targets into funnel metrics and identify AI interventions that compress sales pipelines effectively.
- Skilled in creating and refining AI prompt libraries and training datasets, with discernment on balancing AI automation versus human augmentation in revenue operations.