Senior Staff Software Engineer

The role

This remote role sits within Webflow's Convert product line, which helps marketing and growth teams run experiments, personalize pages, and grow revenue from their sites. The engineer defines long-term backend architecture and leads multi-quarter platform efforts that span several teams. Reporting to the Director of Engineering, the position blends hands-on systems design with mentoring and engineering standards.

What you would do

• Define the long-range technical direction and system design for backend services behind testing, tailoring, and conversion tooling.
• Design and grow distributed, high-volume APIs that take in and serve large streams of visitor activity with quick response times and dependable uptime.
• Drive foundational infrastructure and data platform work that will enable new capabilities over multiple years.
• Work alongside analysts, modeling specialists, and product builders to move statistical and machine-learning features into dependable live services.
• Own large cross-team efforts spanning several quarters, from scoping the problem through delivery and ongoing operation of the system.
• Shape the roadmap across the Convert area and adjacent groups, pinpointing high-payoff bets and getting teams aligned behind them.
• Elevate engineering standards through design reviews, shared guidelines, monitoring practices, and tooling that protects quality.
• Coach senior and staff engineers so their growth multiplies the output of the broader team.
• Track developments in distributed computing, experimentation systems, live data, and ML infrastructure and bring useful ideas into the org.
• Translate product goals into well-defined engineering problems and actionable execution plans.

What they asked for

• Undergraduate degree or equivalent practical experience.
• Over twelve years building software, with substantial hands-on work designing and running large backend and distributed platforms.
• Working command of several languages such as Python, Java, or Go, plus a solid grasp of current frameworks, distributed design patterns, and large-scale architecture.
• Track record shipping and operating data-heavy distributed systems, weighing scalability, resilience, consistency trade-offs, monitoring, and performance tuning.
• Proven leadership on ambiguous, multi-group initiatives, steering design and strategy well beyond your own team.
• Able to work with product, design, analytics, and ML colleagues and convert changing business goals into scalable engineering choices.
• Sound judgment, clear communication with both technical and senior leadership, and pragmatic decisions under time pressure.
• Eagerness to adopt AI tools and keep learning emerging technology to speed up delivery and broaden team impact.