Build and evolve full-stack systems powering causal inference marketing experiments. Own features across Python/Flask APIs, React frontends, and data integrations with ad platforms.
200k – 220k
Hybrid5+ YOEFullstack Engineering
About the role
What you’ll do
Own features end-to-end: from API design and database migrations through React UI and data visualization, all the way to monitoring and on-call support
Build and harden integrations with third-party ad platforms (Meta, Google, TikTok) — design for reliability across APIs you don’t control
Evolve and modernize a production Flask + React application that serves hundreds of customers — improve architecture incrementally while shipping continuously
Design and build data-rich UIs: charts, dashboards, and interactive tools that help marketers understand complex experimental results
Collaborate closely with scientists and data engineers to translate statistical outputs into product experiences customers can act on
Use AI development tools as part of your daily workflow to accelerate delivery, explore solutions, and raise the ceiling on what you can ship
Participate in on-call rotation and own the operational health of the systems you build
Review code across the team and help set the bar for quality, clarity, and maintainability
Qualifications
5–10+ years of experience building and shipping production web applications and APIs
Strong across the full stack: you can build a well-structured API endpoint, write a database migration, and implement the frontend that consumes it
Proficiency in Python and React (or strong equivalents with willingness to ramp); experience with Flask, SQLAlchemy, or similar frameworks is a plus
Experience working in and improving large, established codebases — you’ve navigated legacy systems, made pragmatic tradeoffs between refactoring and shipping, and left things better than you found them
Comfort with cloud-native environments (GCP preferred): you understand how to deploy, monitor, and operate services in production
Experience with relational databases (MySQL/PostgreSQL) and data-heavy applications
Track record of working effectively with AI development tools (Claude, Cursor, Copilot, or similar) — you’ve integrated them into your workflow and can articulate how they change the way you build software
Strong product sense: you think about what customers need, not just what the ticket says
Excellent communication skills — you can explain technical tradeoffs clearly and work effectively with scientists, product managers, and other engineers
For Staff level
Demonstrated ability to lead technical direction for a system or product area, making architectural decisions that hold up as the team and product scale
Experience driving cross-team or cross-system initiatives — you’ve coordinated changes across multiple services or repositories and managed the sequencing
A track record of mentoring other engineers and raising the technical bar of the team through code review, design guidance, and leading by example
Comfort operating with ambiguity: you can take a loosely defined problem, break it down, build the plan, and drive it to completion without heavy oversight
Bonus Points
Earlier stage startup experience
Experience with ad platform APIs (Meta Marketing API, Google Ads API)
Experience with data visualization or experimentation platforms
Experience with third-party data integrations and ETL workflows
What We Offer
Flexible PTO
Equity
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