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Kiteworks

Cloud platform for secure content governance

GTM Engineer - AI-Native Web

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA$150k - $190k /yrHybrid

About the Job

Requirements

  • At least 6 years of software engineering experience, including significant experience shipping production web applications.
  • Hands-on experience building production LLM-powered systems, including agents, tool use, retrieval pipelines, prompt and evaluation frameworks, and orchestration.
  • Strong front-end and full-stack skills, such as TypeScript, React or a modern framework, Node or Python, and a headless content management system or static site architecture.
  • Experience with vector search, embeddings, and data pipelines, including keeping retrieved knowledge current and accurate.
  • Experience integrating with go-to-market systems such as HubSpot, Salesforce, analytics tools, and enrichment and intent APIs.
  • A pragmatic approach to AI quality, including testing, measurement, and adding guardrails.
  • Clear written communication and ability to work across engineering and marketing.

Responsibilities

  • Architect and build an AI-native web platform where content, pages, and experiences are produced and maintained by agent and LLM workflows with human review.
  • Design retrieval-augmented generation systems grounded in product, compliance, and positioning knowledge to ensure generated claims are accurate and on-message.
  • Build evaluation and guardrail layers, including fact checks, brand and copy rules, and regression tests for prompts and pipelines.
  • Ship landing pages, microsites, and campaign experiences using templates, component libraries, and automation to reduce cycle time.
  • Connect the web layer to the go-to-market stack, including customer relationship management, marketing automation, analytics, enrichment, and intent data, so visitor behavior informs routed and prioritized pipeline.
  • Build personalization and conversational experiences for different buyer personas, industries, and compliance frameworks.
  • Own site performance, accessibility, search engine optimization, and AI search visibility so content is easy for answer engines and large language models to find and cite.
  • Instrument systems, define metrics, run experiments, and report on effects on conversion and pipeline.
  • Partner with marketing, sales, product, and security to turn manual go-to-market workflows into reliable, observable systems.
  • Set engineering standards and mentor others on practical AI engineering as the team grows.

Desired Qualifications

  • Prior experience as a go-to-market engineer, marketing engineer, growth engineer, or in a similar hybrid role.
  • Background in business-to-business software as a service, cybersecurity, or compliance-driven markets.
  • Experience with answer engine optimization, generative engine optimization, and structured data to improve visibility in AI-generated answers.
  • A portfolio, repository, or shipped project demonstrating AI-native web work.

About the Company

Kiteworks

Cloud platform for secure content governance

Kiteworks is a cloud-based platform for managing and securing sensitive content communications. It centralizes data from multiple channels—such as email, file sharing, and web forms—into one system so organizations can apply uniform security policies and maintain regulatory compliance across all communications. The product works by aggregating sensitive content into a single platform, allowing policy-driven data protection, governance, and secure sharing across users and devices, with pricing based on subscriptions and features. The company differentiates itself by offering a unified view and centralized governance for sensitive data across diverse channels, targeting government agencies and large enterprises that require strict data protection, privacy, and compliance controls. Its goal is to help organizations protect sensitive information, meet regulatory requirements, and securely manage communications across their ecosystems.

Company size
201-500
Company stage
Late Stage VC
Total funding
$591.4M
Headquarters
San Mateo, CA
Founded
1999

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