Autonomous Marketing Operations Engineer
Build AI-driven marketing automation systems that acquire, engage, and convert users with minimal human intervention.
Role Overview & Operational Scope
You will design and deploy autonomous marketing systems powered by AI that handle lead acquisition, nurturing, personalization, and conversion at scale. Your work bridges engineering rigor with growth marketing strategy, ensuring every campaign, workflow, and funnel operates with minimal manual oversight while delivering measurable ROI.
Key Responsibilities & Production Deliverables
- Design and implement end-to-end autonomous marketing workflows using AI agents, including lead scoring, drip campaigns, and dynamic content personalization.
- Build and maintain integrations between CRM, CDP, ad platforms, and marketing automation tools via APIs, webhooks, and middleware.
- Develop real-time analytics dashboards and attribution models to track campaign performance, CAC, LTV, and conversion funnels.
- Create AI-driven content generation pipelines for email, social, and landing pages using LLMs with guardrailed prompt engineering.
- Implement automated A/B/n testing frameworks with statistical significance evaluation and continuous optimization loops.
- Monitor system reliability, data quality, and compliance (DPDP Act, GDPR) across all autonomous marketing touchpoints.
Mandatory Foundational Knowledge
- Fundamentals of growth marketing funnels, attribution modeling, and customer journey mapping.
- Core AI/ML concepts: supervised learning for lead scoring, NLP basics, and reinforcement learning for campaign optimization.
- Data privacy and compliance frameworks, especially India's DPDP Act 2023 and GDPR requirements for automated decision-making.
Mandatory Practical Skills & Architecture
- HubSpot / Marketo / Braze or equivalent marketing automation platforms.
- Python (Pandas, LangChain, CrewAI) and Node.js for workflow automation.
- REST API design, webhook handling, and middleware orchestration (Zapier, Make, or custom).
- SQL and BI tools (Metabase, Looker, or Tableau) for marketing analytics.
- AWS Lambda / GCP Cloud Functions for serverless marketing automation triggers.
Problem Solving, Execution Rigor & Curiosity
- Obsessed with reducing manual marketing toil — actively seeks to replace human-operated workflows with intelligent automation.
- Experimentally minded: loves running unconventional A/B tests and extracting signals from noisy campaign data.
- Keenly follows the intersection of generative AI and marketing — eager to prototype with new LLM capabilities weekly.
5-day live technical evaluation milestone
Over 5 working days, build an end-to-end autonomous marketing pilot: (Day 1-2) integrate a CRM with a lead-scoring pipeline using a small ML model or heuristic rules; (Day 3) create an AI-driven personalized email nurture sequence triggered by lead behavior; (Day 4) set up real-time dashboard tracking CTR, open rate, and conversion; (Day 5) document the architecture, present results, and propose one optimization iteration. Evaluation focuses on clean code, functional integration, data accuracy, and clear documentation.
Institutional hiring protocol: candidates who clear resume screening take a live practical milestone of strictly 5 working days. Verifiable completion and code audit by your assigned engineering mentor is the sole prerequisite for the official offer letter.
Compensation, Total Rewards & Advancement
- Competitive annual compensation with performance-linked bonuses.
- Fully remote setup with a annual home-office stipend.
- Monthly GPU compute credits for experimenting with LLM-based marketing prototypes.
- Dedicated mentorship from senior AI engineers and growth leaders.
- Annual learning budget for conferences, certifications, and courses.
Dedicated inbox for this role
Questions, private repository links or portfolio references for this opening route straight to the engineering leads reviewing it.
autonomous-marketing-operations-engineer-careers@cehpoint.co.in
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