Senior Software Engineer - Growth (Fullstack)

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.

What You’ll Do:

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

• 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 Have:

• 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

Experimentation is only as valuable as the trust people place in it. This role exists because Read AI is at the stage where the right engineer can make that trust real - and the effects won’t stay contained to one team. Get this right, and “data-driven” stops being a value statement and starts being how the company actually operates.

Why Read AI?

• Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective.
• Massive Impact: AI’s greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action.
• Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the Top AI Companies in Demand by Startups, according to a16z.
• Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile and listen to him share his vision for AI Agents, Digital Twins and the Future of Work. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI. For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.
• Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.