About the Role Reporting to the VP, Growth Marketing & Operations, you are the operational and technical engine behind our marketing data infrastructure, paid programs, and AI-powered campaign tooling. You build systems that make campaigns measurable, automations that make the team faster, and agents that make spend smarter. You own the website - the technical foundation and the instrumentation that make it fast, findable, and measurable.
This is a hands-on technical role. You build, maintain, and optimize, and you own the numbers on everything you touch.
What You'll Do - Web Infrastructure & Optimization - Technical Foundation & Growth Layer
- Own site technical health - Core Web Vitals, speed, accessibility, crawlability, redirects - and the standards agencies build against
- Run technical SEO audits and resolve crawl and indexation issues as the site grows
- Build the templates, modules, and tracking components that let the team ship without a developer
- Own the analytics stack - GA4, GTM, Search Console - and the measurement plan behind it
- Drive organic strategy for ICP - keyword and topic strategy, on-page, IA, and content briefs
- Lead AI Engine Optimization (AEO) so Laurel surfaces in LLMs
SEO & AEO - Organic and AI-Assisted Discovery- Drive organic strategy for ICP - technical SEO, on-page, IA, and content briefs
- Run technical audits and resolve crawl and indexation issues as the site grows
- Build the structured data and content architecture that makes Laurel citable to LLM retrieval
- Track AI-assisted visibility and the organic pipeline that follows
HubSpot Operations - Own the HubSpot instance: workflows, lifecycle stages, lead scoring, list management, and campaign tracking infrastructure
- Build and maintain contact database hygiene, segmentation logic, and attribution across all touchpoints
- Configure UTM structures, form tracking, and pipeline reporting so every campaign ties back to revenue
- Ensure data flow between HubSpot and CRM is accurate, reliable, and audit-ready
Paid LinkedIn - Data, Analytics & Execution - Execute and optimize paid LinkedIn campaigns: audience targeting, budget pacing, creative trafficking, and A/B testing
- Build reporting frameworks that connect LinkedIn spend to pipeline contribution, not just clicks
- Identify performance patterns in the data and act on them - audience refinement, bid adjustments, creative rotation
- Establish and maintain campaign architecture so performance data is always trustworthy
Google Ads AI Agent & Marketing Automation - Build & Orchestrate - Build and maintain an AI agent that manages Google Ads operations: keyword management, bid strategy, budget allocation, and anomaly detection
- Orchestrate the agent across campaign types - search, display, retargeting - using performance signals to drive autonomous optimization decisions
- Define the logic, guardrails, and escalation rules so the agent operates reliably without constant supervision
- Continuously improve agent performance by feeding it better signals, tighter rules, and accurate data
- Collaborate with the AI Engineering team to identify and implement AI-powered marketing workflows beyond Google Ads
- Drive adoption of these workflows, ensuring solutions are effectively implemented, measured, and continuously improved
Reporting & Analytics - Build and maintain dashboards across HubSpot, LinkedIn, and Google Ads that provide unified view of pipeline contribution by channel
- Own attribution modeling for paid channels - last touch, multi-touch, and assist credit
- Surface actionable insights that drive budget allocation, campaign optimization, and growth strategy, and improve conversion rates across the buyer journey
What You'll Own - The website's technical foundation - performance, crawlability, tracking integrity, and the standards everything on the site is built against
- HubSpot marketing automation, workflows, and database integrity
- Paid LinkedIn execution, optimization, and pipeline reporting
- Google Ads AI agent - build, orchestration, and ongoing performance
- AI-powered marketing workflows in partnership with the AI Engineering team
- Marketing attribution infrastructure across paid channels
- Channel performance dashboards and reporting
What You Bring - 10+ years in web development, marketing operations, growth marketing, or a technical digital marketing role in B2B
- Deep marketing automation experience (HubSpot): workflows, lead scoring, lifecycle management, attribution, and reporting
- Hands-on paid B2B channels (LinkedIn, Google): targeting, pacing, creative testing, and performance analysis
- Hands-on web development: shipping production code, owning the deploy, and optimizing performance.
- Experience building or working with AI agents or automation frameworks - comfortable with APIs, prompt engineering, or orchestration tools
- Demonstrated SEO/AEO ownership - technical audits, IA and content strategy, and organic growth you can point to with numbers
- Strong data instincts - you build clean tracking, trust the attribution, and make decisions from numbers
Nice to Have - Experience marketing to professional services, legal, or financial enterprise buyers
- SQL or Python fluency for self-serve data work
- Experience with Google Ads Scripts, Performance Max, or campaign automation tools
- Prior work with LLM-based agents or workflow orchestration platforms (n8n, Make, Zapier, LangChain)
