BitSight Technologies

AI Marketing Systems Engineer

BitSight Technologies$91K — $114K *
US-Anywhere
+ 3 other locationsRemote
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5–8 years of experience in marketing operations, technology, or automation engineering.
  • Experience with AI-powered marketing technologies in live settings.
  • Hands-on HubSpot administration with workflows and lead management.
  • Proven ability to manage and optimize CRM and marketing automation.
  • Solid understanding of APIs, system integrations, and data architecture.
  • Familiarity with AI tools like ChatGPT or similar.
  • Proficient in at least one scripting or programming language.

Responsibilities

  • Design and maintain workflows and automations for marketing and lead management.
  • Connect marketing platforms through APIs and integrations.
  • Identify and streamline campaign execution processes.
  • Experiment while ensuring scalability and governance for systems.
  • Administer HubSpot, optimizing workflows and reporting.
  • Implement high-impact AI use cases in marketing operations.
  • Ensure compliance with GDPR and maintain data governance standards.

Benefits

  • Opportunity to work with advanced marketing technologies and AI.
  • Collaborative work environment with cross-functional teams.
  • Focus on building scalable systems that drive business impact.
  • Hands-on role with significant impact on marketing execution.
  • Access to continuous learning and development in marketing automation.
Full Job Description

BitSight is seeking an AI Marketing Systems Engineer to build, administer, and scale the systems that power modern marketing execution. This role sits within the Marketing organization and combines expertise in marketing technology, automation, AI, and HubSpot administration to improve how campaigns are launched, personalized, measured, and optimized.
You will work hands-on across our marketing technology stack to automate workflows, connect systems, improve data quality, and embed AI into everyday marketing operations. This is a builder role for someone who enjoys solving operational problems, and turning ideas into scalable systems that drive measurable business impact.

What You'll Do
Build and Scale Marketing Systems

  • Design, build, and maintain workflows, automations, and internal tools that support marketing execution and lead management.

  • Connect marketing platforms across the GTM ecosystem using APIs, integrations, middleware, and scripting.

  • Identify opportunities to streamline campaign execution and eliminate manual processes.

  • Balance rapid experimentation with long-term scalability, reliability, and governance.

Administer and Optimize HubSpot

  • Serve as a primary administrator for HubSpot, including workflows, lifecycle stages, lead scoring, custom properties, reporting, integrations, and data governance.

  • Maintain data quality standards, field mappings, attribution models, and campaign tracking frameworks.

  • Troubleshoot system issues and optimize platform performance to support business objectives.

Embed AI Into Marketing Operations

  • Identify and implement high-impact AI use cases across the marketing team.

  • Build AI-powered workflows that support:

    • Content and creative generation

    • Campaign testing and optimization

    • Audience segmentation and personalization

    • Lead routing and qualification

  • Evaluate emerging AI technologies and recommend practical applications that improve marketing efficiency and performance.

  • Generate analysis that provides visibility into campaign performance and funnel effectiveness.

Marketing Data and Performance

  • Ensure marketing technologies and data workflows comply with GDPR and other applicable privacy regulations by maintaining consent management processes, data governance standards, preference management, and customer data handling controls

  • Translate campaign strategies into repeatable workflows, automations, and operational systems.

  • Build audience segmentation frameworks aligned to BitSight's Ideal Customer Profile, including security leaders, risk and compliance teams, and procurement stakeholders.

  • Ensure clean, reliable data flows from marketing channels into CRM and analytics systems (Salesforce, HubSpot, Looker etc.)



Qualifications
Required

  • 5–8 years of experience in marketing operations, marketing technology, revenue operations, automation engineering, or related technical roles.

  • Experience evaluating and deploying AI-powered marketing technologies in production environments.

  • Hands-on HubSpot administration experience, including workflows, lifecycle management, lead scoring, custom objects/properties, reporting, and integrations.

  • Experience managing and optimizing CRM and marketing automation ecosystems.

  • Strong understanding of workflow automation, APIs, system integrations, and data architecture.

  • Experience with AI platforms and tools such as ChatGPT, Claude, Gemini, Cursor, or similar technologies.

  • Proficiency in at least one scripting or programming language such as Python, JavaScript, or SQL.

  • Strong analytical and problem-solving skills with the ability to translate business requirements into scalable technical solutions.

  • Excellent communication skills and the ability to collaborate across Marketing, Revenue Operations, Sales, and Technical teams.

Preferred

  • HubSpot certifications and advanced platform administration experience.

  • Experience integrating HubSpot with Salesforce and other GTM platforms.

  • Familiarity with automation platforms such as Workato, Zapier, Make, , or similar technologies.

  • Experience supporting ABM, demand generation, and lifecycle marketing programs.

About BitSight Technologies

BitSight Technologies is a cybersecurity ratings company that provides cybersecurity risk management solutions to organizations. The company's platform uses a data-driven approach to assess the security posture of organizations and their vendors. BitSight's platform is used by companies to manage third-party risk, benchmark performance against industry peers, and improve their overall cybersecurity posture. The company was founded in 2011 and is headquartered in Boston, Massachusetts.
Learn more about BitSight Technologies
Size
500 employees
Industry
Founded
2011

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