Marketing Operations and AI Specialist
Chainguard · United States
- Hybrid
- Full-time
- $130,000 / year
- United States
Job highlights
- Build marketing analytics infrastructure and AI agents.
- Develop automation solutions for marketing processes.
- Manage core marketing tech stack and integrations.
- Provide AI enablement and coaching to team.
- Requires 3-5 years in B2B SaaS marketing operations.
About the role
Marketing Operations and AI Specialist
Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk.
Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake.
Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital.
Chainguard is looking for a marketing operation AI superstar who can build the analytics infrastructure, AI agents, and the tech stack that power our marketing team and help teammates actually use AI well. You're comfortable working independently, have 3–5 years under your belt, and are ready to go from day one.
What You'll Do
Analytics & Data
- Build and maintain marketing dashboards and pipelines, covering pipeline pacing, attribution, and segment and channel level performance across MQL, SAL, SQL, and pipeline $
- Partner with Sales Ops on goal tracking, lead flow, and segmentation
- Define attribution frameworks and data models that make marketing performance clear and defensible
AI Build & Automate
- Identify high-friction, repetitive processes across the marketing team and design agentic solutions that reduce manual effort and speed up execution
- Partner with marketers to understand their workflows, then build tools and automations they'll actually use
- Create and document reusable agent templates and playbooks so the team can spin up new automations independently over time
Tech Stack & Enablement
- Assist with core marketing tools Hubspot, CRM integrations, intent tools, and lead routing
- Run AI enablement for the marketing team: workshops, playbooks, and hands-on coaching
What We're Looking For
- 3–5 years in Marketing Operations or a GTM engineer role at a B2B SaaS company
- Solid SQL skills and experience with a data warehouse (BigQuery, Snowflake, or similar)
- Experience building automations and integrations (APIs, webhooks, workflow tools)
- Experience with Salesforce, LeanData and Hubspot is a must and HockeyStack, Seam, Unify, and Qualified is a nice to have
- Already using AI tools in your workflow and have a point of view on what works
- Organized, self-directed, and builds with documentation and scale in mind
Key skills/competency
- Marketing Operations
- AI Specialists
- Analytics
- Data Pipelines
- SQL
- B2B SaaS
- Automation
- CRM Integrations
- Hubspot
- Salesforce
Skills & topics
- Marketing Operations
- AI Specialist
- Marketing Analytics
- Data Engineering
- B2B SaaS
- Automation
- CRM
- SQL
- Hubspot
- Salesforce
How to get hired
- Research Chainguard's culture: Understand their values, customer focus, and remote-first approach.
- Tailor your resume: Highlight your SQL, AI, automation, and B2B SaaS marketing operations experience.
- Showcase your AI point of view: Emphasize your experience with AI tools and ability to build scalable solutions.
- Prepare for technical questions: Be ready to discuss your experience with data warehousing, APIs, and CRM integrations.
- Express your self-direction: Demonstrate your ability to work independently and document your work effectively.
Technical preparation
Practice SQL queries for data analysis.,Build sample marketing dashboards.,Create basic automation workflows.,Familiarize with AI agent concepts.
Behavioral questions
Describe a time you improved a process.,How do you handle working independently?,Explain a complex technical concept simply.,How do you prioritize multiple tasks?
Frequently asked questions
- What is the primary focus of the Marketing Operations and AI Specialist role at Chainguard?
- The primary focus is to build and maintain the analytics infrastructure, AI agents, and tech stack that empower Chainguard's marketing team and enable effective AI adoption.
- What are the key technical skills required for this Marketing Operations and AI Specialist position?
- Key technical skills include strong SQL, experience with data warehouses (like BigQuery or Snowflake), building automations and integrations (APIs, webhooks), and proficiency with Salesforce, LeanData, and Hubspot.
- What experience level is Chainguard looking for in a Marketing Operations and AI Specialist candidate?
- Chainguard is looking for candidates with 3-5 years of experience in Marketing Operations or a GTM engineer role, preferably within a B2B SaaS company.
- How does Chainguard support its remote-first culture for this role?
- Chainguard supports its remote-first culture with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone, and internet costs.
- What is the base salary range for the Marketing Operations and AI Specialist at Chainguard?
- The base salary range for this position is $111,000 to $130,000 USD annually.
- Does Chainguard offer benefits beyond salary for the Marketing Operations and AI Specialist?
- Yes, Chainguard offers comprehensive benefits including stock options, 100% covered health insurance for employees and dependents, flexible time off, and 18/12 weeks paid parental leave.
- What does 'AI enablement' entail for the marketing team at Chainguard?
- AI enablement involves running workshops, creating playbooks, and providing hands-on coaching to the marketing team to help them effectively use AI tools and automations.
- What is considered a 'nice to have' in terms of tech stack experience for this role?
- Nice to have tech stack experience includes tools like HockeyStack, Seam, Unify, and Qualified, in addition to the required experience with Salesforce, LeanData, and Hubspot.