Sr. Content Designer

Bengaluru, Karnataka · Bangalore · 1-2 years experience · Posted Sep 30, 2026

At a glance

Shape how people experience our product through words across screens, flows, and conversations with AI.
Partner closely with Product, Design, Research, and AI/ML teams to craft content that is clear, useful, and on-brand.

Own content design end-to-end for a product area: from early flow sketches through shipped, measured experiences.
Design conversational flows for chat-based and voice interfaces, including multi-turn dialogue, disambiguation, error recovery, and graceful fallback.
Write, test, and iterate on prompts and system instructions that shape AI-generated content surfaced to users.
Partner with ML/AI engineers to evaluate model outputs for voice, clarity, bias, and hallucination risk, and build feedback loops to improve them over time.
Build and maintain content patterns, voice & tone guidelines, and a scalable content design system that covers both static UI and dynamic/AI-generated content.
Collaborate with PMs, designers, and researchers from discovery through delivery.
Use qualitative research and quantitative metrics to inform and defend content decisions.
Review and elevate the work of other writers and designers, and mentor junior content designers.
Advocate for accessible, inclusive, plain-language content across the product.

5+ years of experience in content design, UX writing, or a closely related field, with at least 1-2 years working on conversational or AI-driven surfaces.
Conversational design experience designing chatbot, voice assistant, or AI-agent flows.
Hands-on prompting / prompt engineering experience writing and refining prompts or system instructions for LLM-powered features.
A portfolio that demonstrates strong craft in traditional UX writing and at least one project involving conversational or generative AI content.
Comfort working directly with AI/ML teams.
Strong systems thinking.
Excellent editing skills and an ear for voice, tone, and plain language.
Experience partnering cross-functionally in a fast-moving, ambiguous product environment.
Familiarity with accessibility standards (WCAG) and inclusive writing practices.
Experience with tools like Figma, Ditto or a similar content design/collaboration platform, a content-ops/localization platform, and an LLM playground or console.

Experience building a conversational design system or an AI content style guide from scratch.
Familiarity with agentic or RAG-based product patterns, multi-modal AI experiences, or evaluation frameworks for generative content.
Background in linguistics, taxonomy, or information architecture.
Prior experience shipping AI features at a B2B SaaS or Martech/AI company.