Six Figure Work

Software Engineer (Infra)

Conversion

Company websiteconversion.ai (Conversion, opens in new tab)

Base salary $175K  to $250K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (18 min ago) · observed since

About this job

About Us

Conversion is the agentic marketing automation platform for modern enterprises such as Plaid, ClickHouse, Webflow, and Productboard. Our platform lets growth teams run their entire go-to-market motion in one place, from acquisition through retention, with AI agents doing the work that legacy tools like Marketo, HubSpot, and Pardot can't.

We've raised $28M+ from Abstract Ventures, True Ventures, and HOF Capital. The team is based in San Francisco and includes engineers, designers, and operators from Airbnb, Palantir, Pinterest, IMC, Shopify, LinkedIn, and Microsoft.

About the Role

Hey there! James here 👋, co-founder and CTO at Conversion. Just wanted to share my thoughts on the perfect candidate we're looking to join our engineering team.

First off, I want to stress the technical difficulty and scale of what we're building here at Conversion. The reason marketing automation platforms haven't seen a new player in decades is because building one is hard. Our platform needs to handle terabytes of data syncs per customer with the utmost reliability, coordinate complex workflows that automate mission critical go-to-market processes, handle form submissions that directly generate revenue for customers, and serve high delivering emails to millions of our customer's recipients.

Here's what we're looking for in an infrastructure engineer to join our core team:

  • Engineer multiplier: Your customers are all other engineers. The goal is to unlock and empower them to ship features faster and more reliably for our customers. The best infra work here is measured in how much leverage you give the rest of the team.

  • Pragmatic optimizer: Over-optimizing is a real thing. As a startup, our goal is to grow and build an amazing product that delivers value, not to needlessly upgrade our tech stack for the sake of it. Your job is to strike the line between the cost of infrastructure changes and the potential benefits. Everything's a tradeoff and we want to take the worthwhile ones.

  • Intellectually curious: Conversion engineers are the kind of people who get excited about a weird edge case and end up sending five Slack messages about it before lunch.

This role is in-person 5 days/week in San Francisco.

You Might Be a Good Fit If You

  • Have 3+ years of experience building cloud infrastructure, dev tooling, and platform systems at fast-growing companies

  • Have shipped and operated systems that other engineers depend on, including CI/CD, observability, deploy tooling, or internal platforms

  • Have a startup mindset and want early ownership in a fast-paced environment

  • Have experience with our tech stack:

    • Go for backend services

    • Kafka, Temporal, PostgreSQL, Clickhouse, Terraform as foundational technologies

    • Kubernetes as the compute platform

      • ArgoCD, Grafana, VictoriaStack for logging and management

    • GCP for cloud hosting

You Might Be a Great Fit If You

  • Have built internal developer tools or platforms that meaningfully changed how a team shipped

  • Believe keeping things in good shape is paramount (security, reliability, organization)

  • Have worked at a Series A to C startup that scaled quickly

  • Have a strong track record of side projects, apps, or hackathons. Our engineers have built a live-streaming security system for their parents' new house, a database from scratch, a better Splitwise app, and hosted our Minecraft server, all while at Conversion

Useful links

  • Website: https://conversion.ai/

  • Careers: https://conversion.ai/careers

  • Next Play article on our team: https://nextplayso.substack.com/p/how-a-big-pivot-helped-this-company

  • Engineering blog: https://conversion.ai/blog

Source: Conversion on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($175,000) is above 47% of the 5,064 Software Engineering roles in California listed on this site; 66 others list the same floor. Their median floor is $176,800; the middle half runs from $149,391 to $204,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Conversion roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Conversion roles with the nearest advertised base floor
RolePublished base
Software Engineer (Infra) (this listing)$175K - $250K
Founding Product Manager$175K - $250K
Design Engineer$175K - $250K
Forward Deployed Engineer$175K - $250K
Product Engineer$175K - $250K
Content Marketer$150K - $200K
Growth Marketer$150K - $200K

Same $100K to $400K scale as every card. All Conversion roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-26
Where this pay comes from

Location as the employer wrote it: San Francisco Office

USD 175,000 – 250,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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