Senior Software Engineer - Growth

Read AI, Inc.•Seattle, WA

2d•$180,000 - $210,000

About The Position

As a Senior Software Engineer on the Growth team, you'll own a critical piece of how Read AI tests, measures, and learns. This isn't a maintenance role — you'll be building and hardening the experimentation infrastructure that the whole company depends on to ship with confidence, while also raising the bar for data governance and metric trust across Engineering and Product. You'll work closely with Product, Data Science, and Design to turn growth hypotheses into shipped, measurable experiments — you'll have real influence over the technical standards and tools the team adopts. This role also comes with a mentorship component: you'll actively invest in the growth of junior and mid-level engineers on the team.

Requirements

5+ years of full-stack software engineering experience
Strong experience with TypeScript/React and Python/FastAPI (or comparable stacks)
Hands-on experience designing or running A/B tests / experimentation systems
Comfort with SQL and working directly with product/analytics data
A track record of taking ownership of systems end-to-end — not just writing code to spec
Experience mentoring other engineers

Nice To Haves

Experience building experimentation or feature-flagging infrastructure from scratch
Background in growth engineering or product analytics
Familiarity with data governance practices and metric definition frameworks
Experience operating in a high-growth startup environment

Responsibilities

Own experimentation infrastructure
Build, scale, and harden the systems that power A/B testing and experimentation across the company
Improve experiment trust and throughput — faster cycle times, cleaner instrumentation, fewer invalid tests
Identify and personally resolve high-impact issues in the experimentation stack
Drive technical direction
Evaluate new tools and approaches relevant to experimentation and data governance
Build team consensus around what's worth adopting — and what isn't
Set technical standards that other engineers in the Growth domain look to
Partner cross-functionally
Work with Product and Data Science to translate hypotheses into shippable, measurable experiments
Help instrument features cleanly so metrics can be trusted downstream
Mentor and grow the team
Invest meaningfully in the skill and judgment growth of junior and mid-level engineers
Model the engineering craft and rigor you want the team to operate at