דרושים » חומרה » Knowledge Base & Content AI Specialis

As a Technical Writer at our company, youll play a critical role in bridging our engineering and customer-facing teams by creating clear, accurate, and comprehensive content aimed mainly at platform engineers. Your work will directly impact customers who rely on our platform by empowering them to maximize their productivity and improve their workflows.
Youll take part in the creation, maintenance, and evolution of our companys documentation and knowledge base, shaping one of the first experiences users meet when they deploy and use the product.
What Youll Do
Document New Features and Updates: Partner with engineering and product teams to craft high-quality technical documentation for new and existing features. Youll help translate complex technical information into clear, developer-friendly documentation.
Add and Maintain API Documentation: Take part in maintaining the API documentation to ensure its comprehensive, up-to-date, and accessible, providing essential support for developers who integrate with our platform.
Lead wide-scale initiatives to improve internal & external processes, with or without agentic/AI-based workflows.
Write Guides and Tutorials: Write tutorials, how-to guides, and user manuals that support developers in effectively leveraging our companys capabilities.
Write User-Centered Documentation: Work with other teams to gather insights directly from users and developers to understand their needs and pain points, ensuring that the documentation meets real-world use cases and aids in seamless onboarding and usage.
Collaborate Across Teams: Work closely with product managers, designers, developers, and customer support to ensure the accuracy and quality of all documentation, while identifying opportunities to enhance clarity and usability.
Communicate the company brand: ensure consistency and accuracy across all product documentation.
Who Youll Work With
As a technical writer, you will work closely with developers, product managers, and designers to ensure our company is accessible and user-friendly for customers worldwide. you will also engage with customer support and sales teams to better understand user needs and incorporate their feedback.

We are looking for a highly motivated Senior Technical Writer to join the Research and Development Content team, primarily supporting our cloud security product portfolio. This position requires someone who is self-motivated, has strong leadership instincts, and can translate complex cloud security concepts into clear, accessible documentation for a technical audience. The ability to work effectively with remote and cross-functional teams is essential.

Your Opportunity:
Cultivate a culture of continuous improvement and technical learning by establishing scalable documentation methodologies and mentoring peers on emerging industry trends.
Collaborate with subject matter experts and key stakeholders (e.g., developers, product managers, customer support) to gather and translate complex technical information into clear, customer-facing documentation.
Plan and manage documentation projects, including scope, timelines, and resource allocation.
Take end-to-end responsibility for specific cloud security domains by identifying feature changes and independently validating workflows in dev/staging environments.
Write, edit, and review technical documentation, ensuring accuracy, clarity, and consistency.
Develop and enforce documentation standards and style guides across the organization.
Analyze documentation engagement metrics and stakeholder feedback to identify friction points, driving iterative improvements that enhance end-user content.
Manage documentation releases for high-frequency, weekly product releases, in accordance with the SDLC, and communicate updates to internal and external audiences.
Stay current on industry trends and best practices, including AI-assisted documentation tools and workflows.

You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities:
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current

we are looking for a Junior Knowledge Base Writer.
In your day-to-day, you will:
Work closely with Product Team to learn about new features and create supporting content, including writing and updating feature overview pages, how-to articles, as well as producing the accompanying FAQs, images, graphics, GIFs, tables, and charts.
Design the Help Center and maintain its organization and layout.
Work alongside the Support Team and Customer Success Team to understand gaps in user knowledge and areas of product confusion to define content that is needed.
Serve as the knowledge expert internally at the company, especially to our Go to Market team, answering product related questions on our internal channels.
Use tools like Figma, Zendesk, Canva, and Jira.

The Documentation Team is seeking a Senior Technical Writer to own the end-to-end documentation strategy across multiple platform domains. You will act as a strategic partner to Product and R&D, translating complex engineering concepts into intuitive user guides and high-impact microcopy. Operating in a high-velocity Agile environment with weekly releases, you will drive content excellence while leveraging AI-driven workflows to scale our global documentation footprint.

Responsibilities
Direct the documentation lifecycle for complex platform features, adapters, and weekly release notes across three distinct product squads.
Collaborate with Product Managers and R&D to translate high-velocity technical updates into clear, actionable documentation for enterprise users.
Design and edit intuitive UI copy to guide users through complex cybersecurity workflows and platform interfaces.
Manage high-volume content switching between Platform, Cyber-Physical Assets, and Asset Management domains with timely delivery.

As a senior technical writer in the company Technical Writing guild, you will lead complex developer documentation projects in a fast-paced, dynamic environment. You will be responsible for pushing the boundaries of AI to generate, maintain, and ensure high-quality documentation for developers building on the company platform, with a focus on optimizing content for AI agents and LLM-based tools.
Architect end-to-end documentation strategies for our company and Base44 development products
Utilize cutting-edge AI technologies and agents to automate and optimize the documentation lifecycle
Research, define, and create content standards for documentation consumption by LLMs and AI agents
Collaborate with engineers to document and test complex dev features, APIs, and CLI tools
Lead documentation projects which include supervision of technical writers and coordination with multiple stakeholders to bring projects to completion
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications? Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Key Responsibilities
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.

We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.
This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.
You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).
This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.
What youll do:
Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
Own workflow performance, review success metrics, iterate and demonstrate business impact.
Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
Drive adoption through enablement: documentation, training, and ongoing feedback loops
Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability.

We're looking for an AI and Automation Engineer to join our Automation team and help build the internal tools, AI agents and automation systems that power how we operate.
This role combines hands-on engineering with impactful product development. The work is split between writing code (TypeScript, React, Python) and designing and implementing automation workflows using low-code platforms.
You'll take part in building intuitive internal web applications that teams enjoy using, developing AI-driven solutions that streamline repetitive processes, creating insightful dashboards to support decision-making, and integrating systems that help the business run smoothly and efficiently.
You'll work alongside our Tech Lead and a US-based IT Automation Engineer, contributing across the full spectrum from designing React-based internal tools to building RAG pipelines to orchestrating multi-step business workflows.
What You'll Do
Design and build internal web applications using TypeScript and React that serve teams across the organization.
Create intuitive interfaces that make AI capabilities and automation outputs accessible to non-technical users.
Build and maintain RAG pipelines - including document processing, embedding, vector storage, retrieval, and evaluation.
Work with LLM APIs (Claude API, OpenAI API, AWS Bedrock, Vertex) and implement prompt engineering patterns (tool/function calling, structured outputs, few-shot) with proBuild connectors, APIs, and data flows that keep systems in sync and processes running smoothly.
Work with data from across the business to support decision-making.
Design and maintain automation workflows using low-code/no-code platforms (Workato).
Integrate AI solutions into core business tools - Slack, Jira, Salesforce etc.

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.