Principal Growth Marketing Engineer

Jobtailor

San Francisco (CA)

On-site

USD 180,000 - 230,000

Full time

3 days ago

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Job summary

Jobtailor in San Francisco seeks a Senior Marketing Operations & Technical SEO leader to own technical health, analytics stack, and AI-driven workflows. You’ll drive organic growth through on-page and information architecture and manage HubSpot-based marketing automation.

You’ll also build AI agents for ads and data pipelines across platforms. Ideal candidates have 10+ years in B2B digital marketing, hands-on SEO, web development, and analytics with experience in AI-driven marketing tooling and

Qualifications

10+ years in web development, marketing operations, growth marketing, or a technical digital marketing role in B2B.
Deep marketing automation experience with HubSpot, including workflows, lead scoring, lifecycle management, attribution, and reporting.
Hands‑on paid B2B channel experience with LinkedIn and Google, including targeting, pacing, creative testing, and performance analysis.
Hands‑on web development experience, including shipping production code, owning deployments, and optimizing performance.
Experience building or working with AI agents or automation frameworks.
Comfortable with APIs, prompt engineering, or orchestration tools.

Responsibilities

Own the website’s technical health including Core Web Vitals, speed, accessibility, crawlability, redirects, and agency standards.
Run technical SEO audits and resolve crawl and indexation issues.
Build templates, modules, and tracking components for marketing teams to ship without developers.
Own the analytics stack (GA4, GTM, Search Console) and the measurement plan.
Drive organic strategy via keyword and topic strategy, on-page optimization, and information architecture.
Lead AI Engine Optimization so Laurel surfaces in large language models.
Build structured data and content architecture for LLM retrieval.
Track AI-assisted visibility and resulting organic pipeline.

Skills

Technical SEO

HubSpot Marketing Automation

Google Ads Management

AI Agent Development

Data Attribution Modeling

SQL Fluency

Python Fluency

Web Development

Campaign Automation

Analytics Stack Management

Tools

HubSpot

Google Ads

GA4

GTM

LinkedIn Ads

Search Console

N8n

Make

Zapier

LangChain

Job description

Own the website’s technical health, including Core Web Vitals, speed, accessibility, crawlability, redirects, and agency standards
Run technical SEO audits and resolve crawl and indexation issues
Build templates, modules, and tracking components that enable marketing teams to ship without developers
Own the analytics stack, including GA4, GTM, and Search Console, and the measurement plan
Drive organic strategy for the ideal customer profile through keyword and topic strategy, on-page optimization, information architecture, and content briefs
Lead AI Engine Optimization so Laurel surfaces in large language models
Build structured data and content architecture that makes Laurel citable to LLM retrieval
Track AI-assisted visibility and resulting organic pipeline
Own the HubSpot instance, including workflows, lifecycle stages, lead scoring, list management, and campaign tracking infrastructure
Maintain contact database hygiene, segmentation logic, attribution, UTM structures, form tracking, and pipeline reporting
Ensure accurate and reliable data flow between HubSpot and CRM
Execute and optimize paid LinkedIn campaigns through audience targeting, budget pacing, creative trafficking, and A/B testing
Build reporting connecting LinkedIn spend to pipeline contribution
Optimize audiences, bids, and creative based on performance data
Build and maintain an AI agent for Google Ads keyword management, bid strategy, budget allocation, and anomaly detection
Orchestrate the agent across search, display, and retargeting campaigns
Define agent logic, guardrails, and escalation rules
Improve agent performance using better signals, tighter rules, and accurate data
Collaborate with AI Engineering on AI-powered marketing workflows
Drive adoption, measurement, and continuous improvement of these workflows
Build unified pipeline-contribution dashboards across HubSpot, LinkedIn, and Google Ads
Own paid-channel attribution modeling, including last-touch, multi-touch, and assist credit
Surface insights that drive budget allocation, campaign optimization, growth strategy, and buyer-journey conversion rates

Requirements

10+ years in web development, marketing operations, growth marketing, or a technical digital marketing role in B2B
Deep marketing automation experience with HubSpot, including workflows, lead scoring, lifecycle management, attribution, and reporting
Hands‑on paid B2B channel experience with LinkedIn and Google, including targeting, pacing, creative testing, and performance analysis
Hands‑on web development experience, including shipping production code, owning deployments, 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, including technical audits, information architecture, content strategy, and measurable organic growth
Strong data instincts and ability to build clean tracking, trust attribution, and make decisions from data
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 such as n8n, Make, Zapier, or LangChain
Legally authorized to work in the United States
Must not require current or future visa sponsorship in the United States

Core Competencies

Demonstrates expertise in technical SEO, marketing automation, and data-driven decision-making, with a strong focus on optimizing digital marketing strategies across various platforms. Proficient in managing analytics stacks and building AI-driven marketing workflows to enhance campaign performance and attribution.

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