About The Position

As Manager, Marketing AI Solutions, you will build AI capabilities that expand Marketing’s reach and become part of how we do our jobs every day. Working cross-functionally across Creative, Web, Paid, Growth, Analytics, and Research, you’ll combine hands-on development with practical problem-solving to take high-impact AI solutions from idea to production.

Requirements

  • 3+ years in solutions development, MarTech, DevEx, or technical automation.
  • Experience with ML, computer vision, NLP, and predictive modeling.
  • Proven track record building production-ready AI agents, workflows, and LLM apps with human-in-the-loop review.
  • Launching self-hosted and 3rd-party AI solutions using modern, AI-native developer workflows (e.g., Cursor, Claude Code, GitHub Copilot), Python strongly preferred.
  • Model/voice customization using prompt engineering and RAG.
  • API proficiency with REST, modern auth, and protocols like MCP.
  • Integrating marketing platforms (Adobe, Figma) with generative tools (DALL-E 3, Imagen, Veo3) and workplace apps (Slack).
  • Evaluating and testing AI solutions for reliability, security, and responsible use.
  • Managing multiple cross-functional projects in a fast-paced, evolving AI landscape.
  • Strong written, verbal, and interpersonal communication skills.

Nice To Haves

  • Certification in AI, machine learning, or data science.
  • Building agentic workflows across core marketing domains (Creative, Digital, Analytics, Web, Paid, Email, Ops).
  • Experience with SQL, vector databases, and marketing data pipelines.
  • Fine-tuning foundation models (via LoRA, SFT, or provider APIs).
  • Familiarity with additional generative media APIs (image, video, audio).

Responsibilities

  • Design, build, and deploy flagship AI agents, automations, and integrations for Marketing.
  • Rapidly prototype AI tools, validate with users, and scale successful concepts to production.
  • Connect marketing platforms to enterprise AI environments via APIs, MCP, and agent frameworks.
  • Prioritize pragmatic architecture—using low-code/out-of-the-box tools over custom code when faster and easier to maintain.
  • Continuously refine AI solutions based on user feedback, evolving tech, and business needs.
  • Develop reusable code modules, APIs, and implementation patterns for internal builders.
  • Partner with Marketing teams to evaluate high-value AI use cases and technical requirements.
  • Guide non-technical teams in turning one-off prompts into shared, reusable workflows.
  • Evaluate feature requests to balance business impact, cost, and technical feasibility.
  • Help teams resolve technical roadblocks, review designs, and secure production implementations.
  • Translate complex technical tradeoffs into clear language for non-technical stakeholders.
  • Partner with Security and Tech teams to ensure solutions meet governance and compliance standards.
  • Evaluate emerging AI tools, models, and practices to expand Marketing capabilities.
  • Foster an internal builder culture through documentation, workshops, and best practices.
  • Evolve AI development standards and guardrails alongside changing enterprise policies.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service