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Aeris Communications

Global IoT network operator for M2M

Product Information Lead - Technical Publications

Technical WritingUpdated on Nov 14
Full-timeBucharest, Romania

About the Job

Requirements

  • Senior experience in technical writing, information development or technical content, including at least 2 years leading or mentoring writers.
  • Demonstrated production use of AI tools for documentation work, with solid prompt and context engineering skills.
  • Good judgment about AI output, including identifying hallucinations, determining which content is too risky to automate, and justifying human review decisions.
  • Genuine curiosity about customers and their businesses, with a track record of writing from real use cases rather than feature lists.
  • Comfort working in a source-controlled publishing workflow using Git and Markdown, and ability to read specifications and code well enough to document APIs accurately.
  • Experience with localization or multi-language content, including managing quality across languages the candidate does not personally speak.
  • Excellent written English and editorial discipline to set a standard and hold both a team and a model to it.
  • A collaborative, tool-agnostic way of working; comfort working within a UX organization and with ambiguity.

Responsibilities

  • Lead, coach, and grow a small team of information developers, and plan their work against release dates and customer commitments.
  • Write and edit alongside the team, run reviews, and stay close to content quality.
  • Help the team shift from writing every sentence to directing AI, reviewing with expertise, and taking responsibility for correctness.
  • Learn customers' businesses and what they are trying to accomplish on the platform.
  • Work from product requirements and real-world use cases so content answers customer needs, not only what a feature does.
  • Use support tickets, customer conversations, and field feedback to decide what to write next and what to retire.
  • Bring customer learnings to Product and UX, and raise product signals when documentation must explain a workaround.
  • Operate an AI-first documentation pipeline day to day, using AI as a primary working tool.
  • Build and maintain prompt libraries, machine-readable style and terminology rules, structured source content, and grounded context drawn from specifications, code, OpenAPI definitions, and the product.
  • Work in the publishing pipeline on Google Cloud Platform and partner with engineering to maintain automated build, test, and publishing workflows.
  • Keep content usable by AI assistants and support automation through structure, metadata, and factual precision.
  • With the manager, set rules for which content can be AI-generated and published, which needs expert review, and which needs named human sign-off.
  • Review AI output for factual drift from the source of truth, incorrect technical details, omissions, version mismatches, and false consistency across languages.
  • Sign off on published output and measure accuracy through regular scoring and sampling, reported by content type and language.
  • Deliver documentation across languages using AI-driven localization, measuring quality by how well content works for local readers rather than word-for-word English correspondence.
  • Adapt terminology, examples, regulatory references, formats, and tone to local market expectations, working with in-region reviewers and field teams.
  • Maintain the terminology and glossary system used for AI generation and localization, and run sampling to provide confidence without a full human review of every language.
  • Shorten the time from feature-complete to published documentation in all languages.
  • Reach verified accuracy of at least 90 percent on AI-generated content before human review, and reduce support tickets, integration time, and time to first successful API call.
  • Lower cost per language while expanding coverage, and report results in actionable business terms.

Desired Qualifications

  • Hands-on Google Cloud Platform experience with hosting and storage, CI/CD and build automation, environments and access, logging, and operating costs.
  • Experience building content that powers an AI assistant, chatbot, or retrieval system.
  • Experience with structured content, content modeling, or single sourcing applied to a modern toolchain.
  • Background in telecommunications, IoT, connectivity, or enterprise SaaS platforms.
  • Accessibility and plain-language practice, and Agile delivery within engineering sprint cycles.

About the Company

Aeris Communications

Global IoT network operator for M2M

Aeris Communications provides wireless connectivity services for machine-to-machine (M2M) and Internet of Things (IoT) devices. It runs a software-defined IoT network that manages and secures device communications, enabling devices to stay connected across borders and networks. The platform supports a global footprint, with devices deployed in many countries, and is designed for reliability in mission-critical applications. Compared to competitors, Aeris expanded rapidly by acquiring Ericsson’s IoT Accelerator and Connected Vehicle Cloud, boosting its device base from about 15 million to over 100 million across 190 countries and giving it a larger, more integrated IoT ecosystem. The company’s goal is to enable scalable, secure, and globally available IoT connectivity for customers in sectors like automotive telematics, fleet management, and utilities, helping them deploy and manage devices and data at scale.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Santa Clara, CA
Founded
1992

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