Marketing AI Engineer

• As Sonar’s Marketing AI Engineer, you design, build, and maintain the AI agents and automated workflows that multiply the impact of the marketing function
• You spend time with marketing stakeholders to understand their work in depth, identify where automation creates real leverage, and then build and iterate until it works well
• You produce clear reporting on efficiency and impact, keeping marketing leadership informed on what the automations are actually delivering
• Map and prioritize automation opportunities: Work closely with marketing teams to develop a deep understanding of their day-to-day processes — identifying where AI agents and automated workflows can eliminate manual work, reduce errors, or unlock capabilities that weren’t previously possible
• Design and build AI agents: Develop AI agents and automated workflows that streamline marketing processes — from content production and campaign operations to reporting, lead routing, and personalization at scale
• Deploy and maintain automations: Own the full lifecycle of deployed agents — from initial release through ongoing monitoring, debugging, and iteration — ensuring reliability and performance as usage grows
• Produce efficiency and impact reporting: Track and report on workflow automation metrics — time saved, error rates, throughput, and business impact — delivering regular dashboards and summaries to marketing leadership
• Stay current on AI tooling: Continuously evaluate new AI models, agent frameworks, and automation platforms — bringing a clear point of view on what Sonar marketing should adopt, experiment with, or build on next
• Partner with Marketing Tooling & AI Operations: Collaborate closely with the Marketing Tooling & AI Operations Manager to understand the existing tool stack, ensure automations integrate reliably with it, and drive adoption of new AI-powered capabilities
• Ensure data quality and governance: Design automations that handle marketing data responsibly — with attention to data quality, privacy, and auditability across all deployed workflows
• Document and enable: Produce clear documentation for all deployed agents and workflows, and run internal enablement sessions to help the marketing team understand and effectively use what you have built

Benefits

• 401K Plan: Sonar US matches up to 4% of gross salary
• 90% healthcare premium coverage for employees, 60% for dependents
• EAP (Employee Assistance Program) Health Savings Accounts (HSA, FSA, DCFSA). Supplemental coverage is offered by EE’s expense
• Life and disability insurances fully paid by Sonar. Sonar covers 100% of Telemedicine for FTE whom are covered by Sonar medical
• Pet Insurance
• Hospital Indemnity, Accident, Critical Illness
• Time Off: 25 PTO days plus additional days based on seniority and circumstances
• Commuting: Public transport reimbursement of 60% for annual subscription
• Free parking space
• Pension: Sonar UK contributes 50% of the total costs, which amounts to 5% of your gross salary for saving. Employees contribute the other 5%
• Flexibility to work from home 2 days a week on Wednesdays and Fridays
• Time Off: 28 PTO days, plus additional days based on seniority and circumstances
• Health Insurance: Sonar covers 100% of the employee premiums for medical, dental, and EAP (Employee Assistance Program) plans through BUPA
• Commuting: we will reimburse 60% towards the cost of an annual public transport pass

• The best person for this role might be a marketing ops veteran who has taught themselves to build with AI, or an automation engineer who has gone deep on how marketing actually works
• Either way, what matters is the combination: you understand marketing processes from the inside, and you can build reliable automations that make those processes faster, smarter, and more scalable
• Be experienced with no-code/low-code automation platforms (e.g., Make, Zapier, n8n) and comfortable extending them with scripting when needed (Python and/or JavaScript)
• Have strong analytical skills and experience building performance dashboards and reporting for deployed automations
• Have working familiarity with AI agent frameworks (e.g., LangChain, Claude Agent SDK, OpenAI Assistants) or a demonstrated ability and appetite to ramp quickly
• Have 3+ years of experience in marketing operations, automation engineering, or a closely related role — with a track record of building workflows or automations that measurably improved team efficiency
• Be a clear communicator who can explain what an automation does — and why it matters — to non-technical stakeholders, and translate their requirements into precise technical specifications
• Bring intellectual curiosity and a bias to build — you stay current on the fast-moving AI landscape and bring that knowledge into your everyday work
• Have deep, hands-on knowledge of marketing processes and tools — including CRM (Salesforce), marketing automation, campaign ops, analytics, and content workflows. A marketing ops practitioner who has grown into building automations is a strong fit
• Be experienced integrating with third-party APIs and working with marketing data structures (e.g., Salesforce, HubSpot, GA, Marketo)
• Hold a Bachelor’s degree in Marketing, Business, Computer Science, or a related field