Conversational AI Marketing Strategist
Drive go-to-market for enterprise conversational AI by designing product-led growth strategies, LLM-powered campaigns, and adoption playbooks.
Role Overview & Operational Scope
You will translate Cehpoint’s conversational AI capabilities into clear market narratives, repeatable adoption journeys, and measurable demand. By partnering with engineering and sales, you’ll shape positioning, launch workflows, and usage playbooks that turn pilots into enterprise scale.
Key Responsibilities & Production Deliverables
- Define positioning, personas, and messaging frameworks for conversational AI solutions across enterprise segments.
- Design and operate product-led growth loops, including onboarding flows, in-app prompts, and usage nudges powered by LLM agents.
- Build evaluation-ready proof assets: benchmark reports, ROI models, security/compliance one-pagers, and reference architectures.
- Orchestrate launch campaigns across webinars, technical blogs, demos, and partner enablement while tracking funnel-to-revenue metrics.
- Partner with AI engineering to embed analytics, event taxonomy, and feedback capture into conversational endpoints.
- Maintain a living knowledge base of competitor offerings, model capabilities, and enterprise procurement requirements.
Mandatory Foundational Knowledge
- Foundations of large language models, RAG patterns, and agent architectures
- Enterprise buyer journeys and security/compliance considerations for AI adoption
- Growth experimentation methods, attribution models, and SaaS adoption metrics
Mandatory Practical Skills & Architecture
- Prompt engineering and conversational flow design using agents such as LangChain or similar frameworks
- Data analysis and visualization with Python/pandas or SQL plus BI tools
- Campaign and CRM automation using HubSpot, Salesforce, or equivalent platforms
- Technical writing and documentation with Markdown, LaTeX, or Confluence
- Experimentation and analytics using tools like GA4, PostHog, or A/B testing stacks
Problem Solving, Execution Rigor & Curiosity
- Continuously stress-tests AI claims with reproducible evaluations and edge-case scenarios
- Maps enterprise buyer objections to concrete engineering evidence and security artifacts
- Explores emerging conversational interfaces, multimodal agents, and decentralized AI infra
5-day live technical evaluation milestone
Over five working days, design a go-to-market and adoption playbook for an enterprise conversational AI product. Deliver: persona and positioning brief, prompt/flow designs for onboarding and activation, an experiment plan with success metrics, a technical one-pager covering security and compliance, and a launch asset set including a demo script and customer handoff guide. Evaluation will verify practical strategy, LLM fluency, and cross-functional communication before offer issuance.
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-based incentives
- Remote-first setup with flexible working hours and home office support
- Access to GPU credits and hands-on time with Cehpoint’s AI research stacks
- Dedicated mentorship from senior AI engineers and security architects
- Conference budget and certification support for AI, marketing, and compliance
Dedicated inbox for this role
Questions, private repository links or portfolio references for this opening route straight to the engineering leads reviewing it.
conversational-ai-marketing-strategist-careers@cehpoint.co.in
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