Sr. Staff Software Engineer

Job Summary

Required Qualifications

• •10+ years of professional software engineering experience
• •strong track record at the senior IC level
• •typically 3+ years as a Staff or equivalent senior IC
• •or a Senior IC ready to step into broader scope
• •built and shipped systems that other engineers depend on at scale
• •been the technical owner for a major service, platform area, or greenfield initiative end-to-end
• •proven track record of driving multi-team technical initiatives
• •Setting architectural direction
• •unblocking cross-team dependencies
• •influencing decisions beyond your immediate team
• •deep familiarity with modern web application stacks similar to ours: Ruby on Rails, React, JavaScript/TypeScript, Python, Docker, PostgreSQL, and AWS
• •practical experience with security and compliance work in a SaaS environment including SOC2, vulnerability management, authentication systems, and the day-to-day discipline of operating production systems that hold customer data
• •experience mentoring or leading engineers as a tech lead, a senior IC running a working group, or in a formal management capacity
• •genuine interest in growing engineers
• •maturity to take on direct reports with thoughtful coaching support from your manager
• •genuinely hands-on with modern AI-enabled development tools and agentic engineering approaches
• •already integrated AI deeply into their engineering workflow
• •can speak from practical experience about what works, what doesn't, and why
• •built or meaningfully contributed to agentic workflows: MCP servers, skills, evaluation harnesses, multi-step automations, or AI-assisted development pipelines where AI orchestrates work rather than just assisting with individual tasks
• •can architect and ship AI features in production systems, designing systems where AI is a first-class component (LLM orchestration, evaluation, observability, cost management)
• •strong understanding of scalability and system design
• •experience building or guiding systems through significant growth in scale, complexity, or scope of ownership
• •lead through influence rather than authority
• •communicate complex technical ideas in ways that are accessible to a wide range of stakeholders
• •write crisp narratives that create understanding, influence decisions, and unblock teams
• •comfortable operating in environments with ambiguity and shifting priorities
• •bring a proactive, data-informed approach to decision-making even when perfect information is unavailable
• •bring curiosity, humanity, and generosity to your work
• •invest deeply in the engineers around you
• •celebrate the wins of others
• •treat disagreement as a collaboration tool rather than a contest to win
• •excited by the hybrid nature of this role
• •want to stay deep in the technical work while taking on direct people responsibility
• •see managing two engineers as a way to multiply your impact
• •authorized to work for any employer in the U.S.
• •not sponsored or take over sponsorship of an employment Visa

Desired Qualifications

• •Direct people-management experience
• •Direct reports should grow faster because they work with you
• •through pairing, design feedback, code review, and exposure to the technical decisions you are leading
• •People management is a force-multiplier on your technical leadership, not a separate track
• •Develop engineers beyond your direct reports
• •Invest in coaching teammates across the engineering org
• •through pairing, code review, design feedback, and thoughtful technical critique
• •Build strong relationships with product managers, designers, and cross-functional partners
• •Represent your team's and your domain's technical perspective clearly in conversations about scope, sequencing, and trade-offs
• •You are genuinely hands-on with modern AI-enabled development tools and agentic engineering approaches
• •We are looking for someone who has already integrated AI deeply into their engineering workflow and can speak from practical experience about what works, what doesn't, and why
• •You have built or meaningfully contributed to agentic workflows: MCP servers, skills, evaluation harnesses, multi-step automations, or AI-assisted development pipelines where AI orchestrates work rather than just assisting with individual tasks
• •You can architect and ship AI features in production systems, designing systems where AI is a first-class component (LLM orchestration, evaluation, observability, cost management)
• •You have a strong understanding of scalability and system design, with experience building or guiding systems through significant growth in scale, complexity, or scope of ownership
• •You lead through influence rather than authority
• •You are sought out for technical feedback because of your thorough, helpful advice and your kind, respectful communication
• •You communicate complex technical ideas in ways that are accessible to a wide range of stakeholders
• •You write crisp narratives that create understanding, influence decisions, and unblock teams
• •You are comfortable operating in environments with ambiguity and shifting priorities
• •You bring a proactive, data-informed approach to decision-making even when perfect information is unavailable
• •You bring curiosity, humanity, and generosity to your work
• •You invest deeply in the engineers around you
• •You celebrate the wins of others
• •You treat disagreement as a collaboration tool rather than a contest to win
• •You are excited by the hybrid nature of this role
• •You want to stay deep in the technical work while taking on direct people responsibility
• •You see managing two engineers as a way to multiply your impact