Product Content Engineer

Reports to: Director, Product Content & Digital Adoption Location: Austin, TX (Hybrid Required) 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 Product Content Engineer is an individual contributor responsible for producing technical content across Togetherwork's product portfolio using AI-first workflows. This role operates within established AI content pipelines, running prompts, refining output, ensuring accuracy, and maintaining content across assigned products. This is not a traditional technical writing role. The Product Content Engineer is expected to use AI as the primary drafting tool for all content, applying editorial judgment, product knowledge, and quality standards to ensure output is accurate, clear, and on-brand. Over time, this role will develop deeper pipeline skills and take on more complex content areas. This role works closely with Product Owners, the Senior Product Content Engineer, and the Digital Adoption Specialist to ensure content is delivered on time, aligned with releases, and consistent across products. This role operates under the direction of the Director, Product Content & Digital Adoption, and receives day-to-day coaching from the Senior Product Content Engineer on pipeline execution, editorial standards, and content quality. Key Responsibilities AI-First Content Production Use established AI content pipelines to generate release notes, in-app help, enablement materials, and documentation drafts. Apply editorial review to all AI-generated output, checking for accuracy, clarity, voice consistency, and technical correctness. Follow content templates, style guides, and taxonomy standards defined by the Director and Senior Content Engineer. Continuously flag pipeline issues, suggest prompt improvements, and contribute to workflow refinement. Track content production metrics including coverage, cadence, and quality scores. Release Notes & In-App Help Content Produce release notes and changelogs for assigned products aligned to sprint and quarterly release cycles. Create and maintain in-app contextual help content that guides users through features and workflows. Ensure release communications are delivered on time and coordinated with Product and GTM teams. Maintain content freshness by updating documentation as features evolve or are deprecated. Internal Enablement Content Develop enablement materials for Sales, CX, and Support teams tied to feature releases and product updates. Translate technical product changes into clear, audience-appropriate content for non-technical stakeholders. Support the creation of training guides, FAQ documents, and quick-reference materials. Collaborate with CX and Revenue teams to understand content gaps and prioritize enablement needs. Cross-Functional Collaboration & Delivery Alignment Work closely with Product Owners to capture feature details and requirements for content production. Coordinate with the Digital Adoption Specialist to ensure written and in-app content are complementary. Participate in sprint reviews, launch readiness meetings, and cross-functional planning sessions. Escalate content risks, blockers, or quality concerns to the Senior Content Engineer or Director promptly. Qualifications Required Qualifications 3 to 5+ years of technical writing, content production, or product documentation experience in SaaS or software environments. Demonstrated ability to use AI/LLM tools for content generation and workflow automation. Strong writing and editing skills with a focus on clarity, accuracy, and consistency. Experience producing release notes, help documentation, or enablement content. Familiarity with documentation tools and platforms (Confluence, Jira, or similar). Ability to learn new products quickly and translate technical concepts into clear, user-friendly content. Collaborative mindset with comfort working across Product, Engineering, and customer-facing teams. Must be located in Austin, TX; hybrid work required. Preferred Qualifications Experience in multi-product B2B SaaS environments. Familiarity with Pendo or other digital adoption platforms. Experience supporting platform migrations or customer transitions. Background in product marketing, customer education, or UX writing. Experience working within AI-powered content pipelines or prompt-based workflows. 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 Product Content Engineer ensures that Togetherwork's customers and internal teams have the clear, accurate content they need to succeed. Across 15+ products, this role keeps release communications flowing, help content current, and enablement materials aligned with what is actually shipping. By operating within AI-first pipelines, this role delivers content at a pace and consistency that traditional approaches cannot match, directly supporting customer satisfaction, support deflection, and product adoption. #J-18808-Ljbffr Togetherwork Holdings, LLC