Senior AI Engineer, Marketing
New
J
JobgetherMarketing technology
Based in United KingdomFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Excellent written and spoken English
- Experience
- At least 6 years of experience building and operating production backend systems, including 3 or more years of professional Python development.
- Required Skills
- AWSPostgreSQLPythonAzureRESTful APIsHubSpot
Requirements
- Hold a bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
- Have at least 6 years of experience building and operating production backend systems.
- Have 3 or more years of professional Python development experience.
- Have recent hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot agent mode, or Codex, and be able to demonstrate development, review, and testing workflows.
- Have production experience supporting marketing automation platform integrations; HubSpot is preferred, with Marketo or Pardot also considered.
- Understand marketing automation APIs, data models, and synchronization with CRM systems.
- Have experience with event-driven architectures and durable execution patterns, including message queues, outboxes, idempotency keys, and replay mechanisms.
- Have practical integration engineering experience with REST APIs, webhooks, OAuth 2.0, rate limits, retries, and vendor-specific services.
- Have advanced PostgreSQL skills, including schema design, JSONB, partitioning, Alembic migrations, and query performance optimization.
- Have experience deploying cloud applications on Azure or AWS, including containers, Terraform or Bicep, GitHub Actions CI/CD, secrets management, and observability.
- Have experience delivering LLM-powered product features, including structured outputs, evaluation, confidence thresholds, fallback mechanisms, and safeguards.
- Have excellent written and spoken English and be able to explain technical decisions and trade-offs clearly to non-technical stakeholders.
Responsibilities
- Develop a unified lead intake platform with validation, deduplication, consent management, and enrichment.
- Build AI-powered lead qualification and scoring using product usage, learning activity, website behavior, intent data, and company information.
- Create lead routing systems that assign prospects based on territory, team capacity, availability, and priority, with transparent decision records.
- Track lead hand-offs through the first sales interaction and identify delays in follow-up.
- Develop self-service campaign management capabilities for Marketing Operations to configure routing, prioritization, and nurturing rules.
- Design AI-native capabilities accessible through an MCP server for internal agents and assistants to retrieve lead information, explain decisions, and trigger campaign actions.
- Establish centralized consent and suppression controls and integrate with CRM, email service providers, visitor identification, enrichment tools, and internal data platforms.
- Maintain marketing automation integrations and investigate incidents, resolve root causes, and document technical changes.
- Develop an interim forms gateway and enrollment connector, and reconcile data across existing and new systems during migration.
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