Senior AI Engineer, Marketing

Accountabilities

You will design, build, and operate the next generation of marketing technology while ensuring existing systems remain reliable throughout the transition. Your responsibilities will include:

• Develop a unified lead intake platform that captures leads from websites, portals, webinars, events, partners, and imported lists, ensuring validation, deduplication, consent management, and enrichment.

• Build AI-powered lead qualification and scoring capabilities using signals such as product usage, learning activity, website behavior, intent data, and company information.

• Create intelligent lead routing systems that assign prospects based on territory, team capacity, availability, and priority, with transparent decision records.

• Improve lead hand-offs by tracking each prospect from initial capture to first sales interaction, identifying delays, and ensuring timely follow-up.

• Develop a self-service campaign management layer that allows Marketing Operations to configure routing, prioritization, and nurturing rules without creating additional workflows.

• Design AI-native capabilities that can be accessed through an MCP server, enabling internal agents and assistants to retrieve lead information, explain decisions, and trigger campaign actions.

• Establish centralized consent and suppression controls, ensuring compliance and consistent data governance across systems.

• Integrate the platform with CRM, email service providers, visitor identification, enrichment tools, and internal data platforms, ensuring reliable synchronization and recovery mechanisms.

• Use an agentic software development platform to accelerate delivery while maintaining high standards of code quality, security, testing, and documentation.

• Maintain existing marketing automation integrations, including CRM synchronization, sales engagement tools, portal and Academy feeds, enrichment services, web forms, and APIs.

• Investigate and resolve integration incidents, identify root causes, implement lasting fixes, and document technical changes.

• Manage essential configuration changes in the existing marketing automation platform while avoiding unnecessary complexity during migration.

• Develop an interim forms gateway and enrollment connector to support the transition away from legacy integrations.

• Reconcile data across existing and new systems throughout the migration to identify inconsistencies before each cutover milestone.

Requirements:

The ideal candidate combines strong backend engineering expertise with hands-on experience operating marketing technology integrations and delivering AI-powered product capabilities. You should bring:

• A bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.

• At least 6 years of experience building and operating production backend systems, including 3 or more years of professional Python development.

• Recent, hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot agent mode, or Codex, with the ability to demonstrate your development, review, and testing workflow.

• Production experience supporting marketing automation platform integrations, preferably HubSpot, with Marketo or Pardot also considered.

• Strong understanding of marketing automation APIs, data models, and synchronization with CRM systems.

• Experience with event-driven architectures and durable execution patterns, including message queues, outboxes, idempotency keys, and replay mechanisms. Experience with Temporal or a comparable workflow engine is highly desirable.

• Practical integration engineering experience with REST APIs, webhooks, OAuth 2.0, rate limits, retries, and vendor-specific services.

• Advanced PostgreSQL skills, including schema design, JSONB, partitioning, Alembic migrations, and query performance optimization.

• Experience deploying cloud-based applications on Azure or AWS, including containers, infrastructure as code using Terraform or Bicep, GitHub Actions CI/CD, secrets management, and observability.

• Experience delivering LLM-powered product features, including structured outputs, evaluation processes, confidence thresholds, fallback mechanisms, and safeguards.

• Excellent written and spoken English, with the ability to explain technical decisions and trade-offs clearly to non-technical stakeholders, particularly Marketing Operations teams.

Additional experience that would be valuable:

• Familiarity with SugarCRM logic hooks and REST APIs, or server-side CRM extensions such as Salesforce Apex and triggers.

• Knowledge of marketing technology concepts, including lead scoring and routing, consent and suppression management, email deliverability, sender warm-up, and campaign attribution.

Benefits:

• Opportunity to build and influence an AI-native marketing technology platform.

• Exposure to large-scale marketing operations, with an existing ecosystem of more than 1.1 million contacts and hundreds of active workflows.

• Opportunity to work with modern AI development tools, agentic coding platforms, and LLM-powered product capabilities.

• Cross-functional collaboration with engineering, product, and Marketing Operations teams.

• Opportunity to contribute to the modernization of enterprise marketing infrastructure and data governance.