Agentic Marketing Engineer

Marketing Productivity Engineer

San Francisco, CA

Sigma is hiring a Marketing Engineer to grow the pipeline through the website and scale how marketing ships. This is a hybrid role that combines performance marketing, web development, and applied AI. You'll write code, run experiments, and build the systems that let marketing and sales move faster.

You'll be measured on website conversion (especially S2 quantified deal SQL generation), free trial activation, and how much of marketing's recurring work you can automate. This is a new role with wide latitude on tooling and process, working closely with Product Marketing, Sales, and the data team.

What You'll Do

1. Build the Data-to-Web Automation Pipeline

• Sales-to-Web Workflow: Build the pipeline that takes data analyzed in Sigma, drafts content with Claude, and publishes to the site through Sanity. Cut the cycle from weeks to hours.
• Content Operations: Automate the production of customer stories, pricing pages, and feature pages so updates land on the site the same day they land in the data.
• AI Tooling: Build the prompts, Claude Skills, and integrations that make this pipeline reliable and easy for non-engineers to run.

2. Optimize Website Performance

• Conversion Analysis: Diagnose site performance in Sigma. Identify the highest-leverage page changes for SQL generation and trial conversion.
• Experimentation: Run A/B tests and ship code-level changes. Measure outcomes against pipeline impact, not just clicks.
• Free Trial Experience: Rebuild the trial flow to increase the conversion rate from trials to qualified opportunities.

3. Ship Web Pages with Product Marketing

• Page Production: Partner with Product Marketing to design, build, and launch pages without a separate dev cycle.
• Component Library: Build and maintain reusable components that enable PMM to ship pages faster.
• Site Quality: Own performance, accessibility, and SEO for the marketing site.

4. Enable Sales with AI

• GTM Resource Library: Use AI to build a portfolio of battlecards, customer one-pagers, microsites, and sales tools at a pace and cost that wasn't possible before.
• Claude for Sales: Build the prompts, workflows, and Skills that let an AE generate the right document at the right moment without filing a marketing ticket.
• Adoption Tracking: Document which AI workflows actually pay off. Retire the ones that don't.

Qualifications

• Experience: 4+ years in performance marketing, growth engineering, marketing operations, or a related role at a B2B SaaS company.
• Technical Skills: Ability to ship production-quality code for a marketing site. Comfortable with TypeScript and React, REST APIs, and a headless CMS like Sanity, Contentful, or Webflow.
• Data Skills: Can analyze conversion data in SQL and a BI tool. Understands the basics of A/B testing and statistical significance.
• AI Fluency: Has built something real with Claude, GPT, or another LLM. Can speak honestly about where AI helps and where it gets in the way.
• Marketing Instinct: Thinks in funnels and pipeline metrics, not impressions and brand awareness. Can write a clean page without an agency.
• Bias to Ship: Prefers a 75% solution this week to a 100% solution next quarter.

Bonus Points

• Hands-on experience with Sigma, Sanity, or both.
• Has built MCP servers, Claude Skills, or other agentic AI integrations.
• CRO experience on a B2B marketing site, with stories about what worked and what didn't.
• Has worked closely with a sales team and understands how AEs actually use the tools marketing builds.

Additional Job Details

The base salary range for this position is $130k - $165k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

About Us:

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

Benefits For Our Full-Time Employees:

• Equity
• Generous health benefits
• Flexible time off policy. Take the time off you need!
• Paid bonding time for all new parents
• Traditional and Roth 401k
• Commuter and FSA benefits
• Lunch Program
• Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney.

Our Privacy Practices

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Sigma's Use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.