Bachelor's degree or equivalent professional experience required.
10+ years of diverse content writing experience.
Proficient in integrating GenAI/LLM tools into workflows.
Experience defining or contributing to voice and tone standards.
Background in writing for AI-powered products like chat interfaces.
Ability to translate voice principles into actionable writing rules.
Experience collaborating with ML or engineering teams on content quality.
Responsibilities
Audit existing product content and identify inconsistencies.
Develop a comprehensive content style guide aligned with product personas.
Define a precise voice specification for AI integration.
Write and manage day-to-day product content across interfaces.
Establish content governance and approval processes.
Collaborate cross-functionally with UX, product, and engineering teams.
Raise content quality standards and document patterns for the team.
Benefits
Flexible work environment with remote options.
Opportunities for professional development and training.
Collaborative work culture with cross-functional teams.
Access to the latest AI tools and technology.
Support for a healthy work-life balance.
Full Job Description
We are looking for a Senior Lead AI Content Strategist who is two things at once: a skilled, versatile writer who takes pride in the craft, and a strategic thinker who defines the standards that govern how an entire product communicates. You will be hands on every day, writing UI copy, conversation scripts, in-product guidance, and creating standards for AI-generated content flows. You will also decide what good looks like, get the team behind it, and own those standards going forward.
There is no inherited styleguide to execute against. You will audit what exists, then build the voice specification the entire team aligns behind, then govern it and continue contributing to it as a writer.
A meaningful part of the job is defining how the AI itself sounds, partnering with ML and engineering to translate voice standards into specifications they can integrate into prompts, evaluating AI-generated content against those standards, and maintaining a living library of on-brand and off-brand examples the team will use as artifacts in their work.
What you'll do:
Audit and inventory the product's existing content: UI copy, conversation scripts, error messages, onboarding flows, FAQ content, and AI-generated outputs. Map what exists, identify inconsistencies, and use this as the foundation for the voice and tone standard and basis of a short term backlog to improve consistency throughout the current experience.
Develop a comprehensive content style guide: voice, tone, vocabulary, grammar and syntax conventions, with documented examples specific to the product and the various user personas. You will also get technology and business leadership and the broader product and engineering teams aligned and bought into the standard.
Define a precise voice specification to operationalize in the AI system: translate voice and tone principles into concrete rules and examples the ML team can use to shape model output. Evaluate AI-generated content against those standards and iterate with the team to close the gap.
Write and own content across the product day-to-day: UI labels and microcopy, conversational flows and chat scripts, in-product guidance, notifications, error states, onboarding conversations, in-product marketing, and purchase flow content.
Establish and maintain content governance: define the review and approval process for new content, track content debt, and ensure standards are applied consistently as the product scales.
Partner cross-functionally with UX design, product, engineering, ML, and UXR teams. Collaborate with marketing and GTM partners when the product voice extends into external-facing domains (open web, campaigns, and so on).
Contribute to raising the quality and execution bar across the team: share content critique, document patterns, QA prior to production releases, and bring content design further upstream in the SDLC.
Requirements:
Bachelor's degree or equivalent professional experience required.
10+ years of content writing experience across disciplines: UX writing, copywriting, technical writing, and narrative writing. You have range and a portfolio that proves it.
You have successfully, productively integrated GenAI / LLM tooling into your professional workflows and are on top of the latest developments in the space.
You have direct experience defining or significantly contributing to a product voice and tone standard, not just following one. You know how to drive adoption of content standards among a team, and have the scars to prove it.
You have written for conversational or AI-powered products: chat interfaces, virtual assistants, LLM-generated flows, or similar. You understand the content design challenges that are unique to these kinds of features/products.
You can translate voice principles into concrete, actionable writing rules and examples.
You have experience partnering with ML or engineering teams on AI output quality: reviewing model-generated content, giving structured feedback, contributing to prompt-level content specifications.
You are a strong communicator and a persistent advocate for content quality.
You thrive in ambiguous, early-stage environments. You are comfortable building from scratch, without a playbook, in a team that is still figuring things out.
Bonus for experience writing sales, marketing, or purchase-flow content.
Bonus for experience in regulated domains: payroll, tax, HR, fintech, healthcare, where accuracy, compliance language, and user trust are table stakes.
