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AI Ops Engineer (Marketing)

Lovable· EPD
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StockholmFull-timePosted 2w ago

About the role

Senior engineer to join Applied AI, embedded with Marketing, building AI systems, data, and agents for Lovable’s Marketing teams; ships production software on Lovable.

Responsibilities

  • Run a listening tour with Marketing to map current work, systems, data sources, owners, and expert-judgment points.
  • Agree each project with Marketing leadership up front: define problem, metric, owner, and definition of done.
  • Connect context a launch depends on across tickets, docs, Slack, competitive intel, and usage data; propagate changes across assets.
  • Build agents and workflows for Performance and Social: create creative variants, campaign setup, and quality checks against brand guidance with human review where necessary.
  • Encode Brand and Product Marketing judgment into systems: positioning, messaging, and voice guidance for other teams and agents.
  • Connect Marketing's systems to the shared company data layer so agents can act on trusted data.
  • Build on the shared Applied AI foundation; reuse data contracts, permissions, and agent patterns; extract Marketing needs into reusable pieces.
  • Launch each system with a named owner, runbook, access rules, and a review cadence; teach Marketing to operate it independently.
  • Measure results with Marketing and use insights to improve, extend, or retire systems.
  • Bring concrete product gaps from internal use to Lovable's product teams.

Qualifications

  • 6+ years building and shipping production software or data systems that people depend on.
  • Recent hands-on work in TypeScript, Python, or SQL.
  • Deep marketing knowledge from a marketing organization, a MarTech company, or a product or data role serving marketing teams.
  • Experience integrating marketing systems: ad platforms, analytics, CRM or CDP, and content tools; understanding APIs and data.
  • Experience building with LLMs: agents, evaluation, and judgment on when a rule-based system is preferable; ability to test and make model output reliable for daily use.
  • Strong product judgment; ability to prioritize with stakeholders and iterate based on usage and feedback.
  • Senior stakeholder skills; ability to work with CMO and Marketing leads and articulate a clear path in writing.
  • Care for permissions and data handling; treat access control as a design requirement from day one.
  • Comfort building on a high-level platform and willingness to avoid bespoke infrastructure without a written justification.

Skills

Required:Production software / data systemsTypeScriptPythonSQLMarketing systems integrationLLMs / AI agentsProduct judgmentStakeholder managementData governance / permissions
Last updated Oct 7, 2026. Interested? Apply on the company site.
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