Note: The job is a remote job and is open to candidates in USA. Jobber helps small home service businesses succeed by transforming service delivery through technology. The AI Marketing Enablement Manager will own and expand Jobber’s AI enablement program, building reliable AI tools, integrations, and workflows while driving adoption across Demand Generation and marketing teams. The role also involves coaching marketers, identifying new AI capabilities, and operating AI solutions responsibly.
Responsibilities
- Take ownership of the assets built during our external engagement: tools, agents, MCP servers, prompts, evals, and documentation, and make sure they remain reliable, understood, and extensible after the vendor rolls off
- Own and advance the AI maturity model already in motion, moving marketers from first useful wins to regular integration to self-sufficiency, and reporting progress to leadership
- Own the marketing AI roadmap: prioritize what to build next, decide what to sunset, and set the standards and patterns the team builds against
- Build AI-powered tools, agents, automations, and skills tailored to real marketing workflows - e.g. campaign planning, audience research, content development, channel execution, reporting, experimentation, and optimization
- Build and maintain integrations that connect AI to live data - e.g., MCP servers linking ad platforms, analytics, and CRM. This is so marketers can work against real data in natural language instead of exporting and reconciling by hand
- Establish quality and reliability practices: evals, regression tests, and human-in-the-loop review so tools can be trusted against real campaigns and real data, and so they don’t silently break when models or platforms change
- Use AI to uncover opportunities the team can’t currently see: patterns across campaigns, audiences, creative, channels, and content that would be impractical to surface by hand
- Take on analysis at a scale humans can’t - e.g. evaluating hundreds of creative variants, ad transcripts, landing pages, or search terms at once to extract what’s working and why, then feeding that back into strategy
- Prototype net-new capabilities, not just faster versions of existing work: doing things we couldn’t do before, testing whether they hold, and turning the ones that prove valuable into durable, repeatable tools
- Embed with marketers to deeply understand their workflows, goals, deliverables, tools, and pain points, and identify the highest-leverage places AI creates real leverage
- Coach marketers through a practical adoption journey, from first win to regular use to building their own workflows
- Recognize patterns across individual use cases and turn one-offs into reusable playbooks, templates, and tools, documented in version control so any marketer can read, run, and extend them
- Share wins and examples to build momentum, confidence, and excitement around AI-enabled marketing work
- Extend the model beyond Demand Gen into the broader marketing organization as the capability matures
- Partner with Data, Security, and IT to keep solutions scalable, reliable, and responsible with approved AI providers, sound data handling, appropriate human review, and clear accountability for AI outputs and actions
- Track impact with the number of workflows transformed, time saved (measured before/after), adoption, maturity progression, and library reuse
Skills
- Hands-on experience using AI to materially improve marketing workflows or business processes, with experience on a working prototype on a real workflow
- Experience building AI-powered tools, agents, automations, custom assistants, integrations, or agent workflows, and connecting them to real data sources
- Strong understanding of marketing work, ideally across demand generation, lifecycle, paid acquisition, SEO/GEO/AEO, content, marketing operations, analytics, or growth
- The ability to quickly learn how marketers work today and identify where AI creates meaningful leverage, and the judgment to know what should and shouldn't be automated
- A frontier mindset with the curiosity to spot where AI can do something genuinely new, not just faster, and the drive to prototype it, test it, and prove whether it holds
- A quality mindset: comfort defining evals, testing outputs, and designing the human-in-the-loop checkpoints that make AI trustworthy in production
- Strong coaching and enablement skills, with the ability to teach technical concepts to non-technical audiences and adapt to different levels of AI fluency
- Strong systems thinking with turning one-off improvements into scalable, documented patterns
- Comfort operating in ambiguity in a fast-moving field, and a habit of keeping current as models, tools, and best practices change
- Experience managing multiple stakeholders, workstreams, and priorities at once
- Excellent written and verbal communication skills
- Location: ------------- We believe great collaboration is intentional, and sometimes that means coming together in person to build, brainstorm, and connect. To support this, the role is open to candidates based in one of our hub cities: Edmonton, Toronto, Vancouver, or Kitchener-Waterloo
- Direct experience on a Demand Generation, Growth, Marketing Operations, Lifecycle, or Performance Marketing team
- Familiarity with modern marketing and data tooling such as HubSpot, Salesforce, Google Ads, Meta Ads, Campaign Manager 360, GA4, Google Tag Manager, AppsFlyer, Firebase, Tableau, Looker, Metabase, Cube, Webflow, or Contentful
- Familiarity with current AI development and automation tooling - the specifics change quickly, but today that includes assistants and models (Claude, ChatGPT), agentic and dev tools (Claude Code, OpenAI Codex, agent SDKs), the Model Context Protocol (MCP) for connecting agents to data and systems, orchestration and automation tools (LangGraph, n8n, Zapier, Make), eval/observability tooling, and version control (GitHub)
- Experience building internal marketing tools, templates, workflows, or playbooks that were adopted by others
- Familiarity with campaign measurement, funnel analysis, experimentation, attribution, segmentation, or personalization
- Experience in change management, enablement, consulting, solutions engineering, or technical program management
Benefits
- Equity rewards
- Annual stipends for health and wellness
- Retirement savings matching
- An extended health package with fully paid premiums for body and mind
- A dedicated talent development program that includes career coaching and opportunities for career development
- An extended health benefits package with fully paid premiums for both body and mind
- Matching in RRSP, TFSA or FHSA
- Stock options
- Access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential
Company Overview
Company H1B Sponsorship