Job Description
Senior Product Content Engineer
Department: Product & Strategy
Reports to: Director, Product Content & Digital Adoption
Location: Austin, TX (Hybrid 2-3 days/week required)
Candidates must be authorized to work in the United States for the duration of employment without requiring current or future employer sponsorship of any kind, including but not limited to OPT, STEM OPT, H-1B, or any other visa classification.
Overview
At Togetherwork, we set a high bar for clarity, collaboration, and execution. While our Product & Strategy leaders own portfolio outcomes, our individual contributors are equally essential, bringing curiosity, precision, and a commitment to excellence to every initiative. We work in deep partnership with Engineering, Revenue, CX, Operations, and Support, sharing accountability for delivering stable, modern, insight-driven products that help our customers thrive.
This team operates differently. We are building an AI-first content and digital adoption function where AI is the primary production method, not an accelerator, but the engine. Every workflow, artifact, and deliverable is expected to be designed around AI-powered pipelines, with human expertise applied to strategy, editorial judgment, quality assurance, and continuous improvement.
We expect team members to bring strong analytical thinking, operational rigor, and deep fluency with generative AI, content automation, and modern tooling. Hard work is the norm, not for recognition, but for the greater good of our customers and the long-term health of our company.
This role reflects those expectations: AI-native, data-informed, customer-centered, and grounded in professionalism and positive intent.
Role Summary
The Senior Product Content Engineer is a senior individual contributor responsible for producing high-quality technical content across Togetherwork’s product portfolio using AI-first workflows. This role owns the most complex content deliverables, including API documentation, release notes, in-app contextual help, and internal enablement materials, and serves as the primary architect of the AI content pipelines that power the team’s output.
This is not a traditional technical writing role. The Senior Product Content Engineer designs prompt systems, builds automated content workflows, and applies deep editorial judgment to AI-generated output. The expectation is that AI produces the first draft of everything, and this role ensures accuracy, clarity, brand consistency, and technical correctness at scale.
This role partners closely with Product Managers, Product Owners, Engineering, and Design to embed content production into the delivery lifecycle, ensuring documentation and in-app help are ready at launch, not weeks after. The Senior Product Content Engineer also coaches the Product Content Engineer on pipeline usage, editorial standards, and technical writing craft.
This role works under the direction of the Director, Product Content & Digital Adoption, who owns the overall content strategy, team operating model, and AI pipeline architecture. The Senior Content Engineer translates that strategy into production-quality output and helps refine the systems that make it possible.
Key Responsibilities
AI-First Content Production & Pipeline Development
Design and maintain AI content pipelines that generate release notes, API documentation, in-app help, and enablement materials from Jira tickets, PRDs, and design specs.
Build and refine prompt libraries, templates, and structured workflows that produce consistent, high-quality output across products.
Apply editorial expertise to review, refine, and approve AI-generated content for accuracy, voice, and completeness.
Continuously improve pipeline quality by analyzing output patterns, identifying failure modes, and refining prompts.
Evaluate new AI tools, models, and capabilities and recommend integration into existing workflows.
Partner with the Director to expand AI pipeline coverage to new content types and product areas.
Technical Documentation & API Content
Own API documentation, developer guides, and technical reference materials across assigned products.
Partner with Engineering to ensure API docs are accurate, complete, and aligned with current endpoints and schemas.
Create and maintain structured documentation frameworks that can be templated and scaled across the portfolio.
Produce clear, developer-friendly content that reduces integration friction and support escalations.
Release Notes, In-App Help & Enablement
Produce release notes and changelogs aligned to product launch cycles across multiple products.
Create in-app contextual help content that guides users through features, workflows, and common tasks.
Develop internal enablement materials for Sales, CX, and Support teams tied to product releases and updates.
Ensure all content is consistent in voice, structure, and quality across the portfolio, following standards set by the Director.
Cross-Functional Partnership & Delivery Integration
Embed into product delivery workflows to capture content requirements early in the development lifecycle.
Partner with Product Owners to extract story-level detail for documentation and help content.
Collaborate with the Digital Adoption Specialist to ensure written content and in-app guides are complementary and consistent.
Work with the Director to define and refine content standards, style guides, and quality benchmarks.
Coach and support the Product Content Engineer on pipeline usage, editorial standards, and technical writing craft.
Qualifications
Required Qualifications
5 to 7+ years of technical writing, content engineering, or product documentation experience in SaaS or software environments.
Demonstrated experience building AI-powered content workflows using LLMs, prompt engineering, and automation tools.
Strong technical writing skills with experience producing API documentation, developer guides, and reference materials.
Experience writing release notes, in-app help, and enablement content for multi-product portfolios.
Proficiency with documentation tools and platforms (Confluence, Jira, Swagger/OpenAPI, ReadMe, or similar).
Analytical mindset with experience measuring content effectiveness and iterating based on data.
Excellent editorial judgment, able to assess AI-generated output for accuracy, clarity, and tone.
Collaborative and comfortable working across Product, Engineering, CX, and Revenue teams.
Must be located in Austin, TX; hybrid work required.
Preferred Qualifications
Experience in multi-product B2B SaaS environments, especially PE-backed or high-growth companies.
Familiarity with Pendo, WalkMe, or other digital adoption platforms.
Experience supporting platform migrations or large-scale customer transitions.
Background in developer relations, developer experience, or API-first product teams.
Experience mentoring junior writers or content team members.
Interview Integrity & Use of AI
We value authenticity, expertise, and real-time problem solving during our interview process. Candidates are expected to represent their own knowledge, experience, and thinking without the use of AI-assisted tools during interviews.
The use of any AI tools during interviews, including but not limited to real-time scripting, recording, transcription, response generation, or coaching tools, is strictly prohibited. This applies to phone, video, in-person, and technical or case-based interviews.
While we strongly value candidates who understand how to use AI tools effectively and responsibly, and this role specifically requires deep AI fluency, interviews must reflect the candidate’s own abilities and perspectives. Any candidate found to be using AI-assisted tools during the interview process will be immediately disqualified from consideration.
Why This Role Matters
The Senior Product Content Engineer is the production backbone of Togetherwork’s AI-first content function. Across 15+ products, this role ensures that every feature launch, migration, and product update is supported by clear, accurate, consistent content, generated at scale through AI pipelines and refined by human expertise. This role directly reduces support burden, accelerates customer onboarding, and improves the quality of every customer touchpoint that involves written or in-app content.
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