AI & Marketing Automation Manager

Manychat•Austin, TX

13h•Hybrid

About The Position

This role is for an AI & Marketing Automation Manager who will be responsible for bringing AI to life across the entire Marketing organization. The individual will embed within the Marketing team, reporting to the Head of Marketing Operations and partnering with the CMO. The primary goal is to identify opportunities where AI and automation can create value, build the necessary systems, and develop team capabilities to leverage these technologies. This involves deciding what to automate, designing the processes, and enabling marketers to use AI by default. It's described as a builder's role with an enabler's heart, involving prototyping AI workflows and addressing team pain points with AI solutions. The job description emphasizes making the marketing organization AI-first.

Requirements

5-8+ years in marketing with deep, hands-on knowledge of the modern marketing tool stack
Proven track record of building working automations (e.g., n8n, MCPs, GitHub repos, Claude.md)
Experience with lightweight scripts or API integrations
Strong understanding of customer data, including Braze's consumer event structure, customer journey mapping, event-field mapping, and cross-tool field mapping
Ability to validate conversion events across Google, Meta, and TikTok
Natural ability to enable others and teach technical concepts clearly
Strong product sense and a bias towards shipping solutions
Proven ability to operate cross-functionally and build trust
Adaptive, fast-learning mindset and coachability

Nice To Haves

Direct experience at a PLG company
Python or JavaScript for lightweight scripts and custom integrations
Prior growth or lifecycle marketing experience

Responsibilities

Lead AI enablement across Marketing
Become the go-to person for AI-related inquiries and implementation within the team
Coach and upskill marketers on AI and automation usage
Run working sessions to identify and prioritize high-value AI use cases
Champion an experiment-first culture for AI-driven approaches
Design and ship AI-powered and automated workflows, including MCPs, GitHub repos, and Claude.md configurations
Map customer data across the marketing stack (Braze, data warehouse, ad platforms) for clean information flow
Set up, QA, and validate conversion events and tracking across Google, Meta, and TikTok
Build integrations between marketing tools to improve team speed
Define success metrics tied to PLG outcomes (acquisition, conversion, time-to-value)
Report efficiency gains and funnel improvements to marketing leadership
Build feedback loops connecting product usage data to campaign targeting
Partner with Product, Data, and Growth teams
Translate business problems into scalable AI solutions
Share learnings to foster AI capability growth across the organization