Marketing Productivity Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$130K-$165K not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

27% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

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

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.