Marketing AI Solutions Manager

Asurion
Nashville, TN, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Computer Vision Cursor (Graphical User Interface Elements) Python (Programming Language) Machine Learning Marketing Information Systems Natural Language Processing SQL Databases Systems Integration GitHub Copilot
+8 more
Large Language Models Multi-Agent Systems Prompt Engineering Technical Debt Adobe Dall-E Low-code Figma

Job description

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.

What You’ll Do

  1. Build AI Solutions * 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.

  2. Collaborate & Advise * 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.

  3. Grow AI Capability * 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., * Impact: New AI-powered capabilities launched that expand what Marketing can accomplish, with production-ready solutions actively adopted across core Marketing teams. * Culture: Widespread adoption of established AI frameworks, enabling Marketing teams to autonomously build and maintain simple automations. * Reputation: Trusted across Marketing to turn “can we?” into “we did.” * Metrics: Measurable reductions in manual effort, faster delivery of marketing solutions, and improved operational efficiency.

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 Have

  • 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).

Who Thrives Here

You value momentum over over-engineering. You enjoy solving messy, ambiguous problems and using your development skills to turn ideas into practical solutions quickly, without adding unnecessary technical debt.

You’re an empathetic mentor. You’re equally comfortable diving into technical details and collaborating with non-technical teammates. You naturally explain complex technical tradeoffs in everyday language and take pride in helping teammates overcome hurdles.

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Prepare application

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