AI Marketing Engineer

Assured

Completely RemoteFull TimeEngineering & Architecture
Posted Today

Job description

Responsibilities

  • Build and design agentic workflows and internal agents on Claude for research, account briefs, and content drafting
  • Stand up a warehouse-backed marketing data model (e.g., Snowflake) to create a single source of truth
  • Ship and maintain weekly GTM and marketing dashboards for executive leadership
  • Integrate the intelligence stack by wiring product marketing, campaigns, and GTM strategy to pipeline execution
  • Act as a force multiplier by providing data, tooling, and automation to the product marketing and growth teams
  • Ensure system compliance and maintain high observability of the marketing pipeline

Requirements

  • 6+ years in AI operations, revenue/growth engineering, data engineering, or a related technical marketing role
  • Demonstrated experience building and shipping real-world automations with LLMs and agentic workflows
  • Proven experience integrating intelligence and data tools into a coherent technology stack
  • Strong expertise in data quality, observability, and translating complex systems for non-technical leaders
  • Ability to take full ownership of systems in a fast-moving, remote environment

Benefits

  • Competitive salary ($180K – $280K) and flexible equity packages
  • Platinum medical, dental, and vision insurance
  • 401(k) with a guaranteed 3% company contribution
  • Unlimited PTO and paid holidays
  • Family leave (maternity and paternity)
  • Remote work perks including monthly phone stipends and home office support
  • Regular team events and offsites

About the Company

Assured is on a mission to modernize the insurance industry. We provide large insurers with the software solutions they need to win in a modern, technology-driven world, ranging from self-service claim-filing software to backend fraud detection. We are the engine that powers claims processing for some of the largest insurers in the world.

Skills & tools

LLMData EngineeringAI

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016+ years in AI operations or data engineering
  2. 02Experience building with LLMs and agentic workflows
  3. 03Experience integrating intelligence and data tools
  4. 04Strong data quality and observability skills