Staff Software Engineer
Pathstream · Remote
About this role
**Staff Software Engineer** **Role / Department Overview** Pathstream is seeking a **Staff Software Engineer** to lead large, cross-team technical work on our platform. This is a **senior individual contributor** role on one of our engineering pods. Pods are small, fast-moving teams that own their area end to end and ship to production often. You’ll report to your pod’s engineering lead and **have no direct reports**. You’ll be an expert in the systems your team owns, understand how data moves through the rest of Pathstream’s platform, and lead multi-person projects from design to production—setting the technical bar for your pod and helping engineers around you grow. A core expectation is advancing Pathstream’s **AI-native engineering practices**—building, evaluating, and deploying **AI-enabled development tools** and **agentic engineering workflows** as both a hands-on practitioner and a force-multiplier. --- **What We Do** Pathstream helps frontline organizations unlock unrealized economic and human potential. We transform frontline teams from transactional to relational, and from task-oriented to strategic—improving productivity, retention, and customer experience while supporting employee career growth. --- **The Role** **AI-Native Engineering** - Own how your team delivers with AI, reshaping how projects are scoped, sequenced, and staffed. - Own the team’s shared AI patterns (context files, skills, conventions, workflows), including those written by others—maintain and retire what no longer helps. - Lead adoption of new AI tools and methods (e.g., **Claude Code**, **Claude skills**, **MCP servers**, **AI code review**). - Keep verification practices aligned with how fast code is produced; drive fixes end to end (test strategy, staged rollout, observability). - Create space for safe experimentation—encourage learning when something doesn’t work. **Technical Ownership & Delivery** - Lead large feature releases end to end (often multi-person and cross-team). - Take on significant, unique problems where data is incomplete and trade-offs include intangibles—diagnose root causes quickly and guide others through trade-offs. - Break complex initiatives into clear, maintainable pieces others can own. - Balance stability/quality with speed to ship and iterate. - Write architecture documents, identify weaknesses, and provide clear, timely feedback on other teams’ technical docs. **Quality, Security & Operations** - Reinforce systems/workflows to protect quality; drive solutions end to end. - Apply strong security practices in your domain; partner on **SOC2**, vulnerability management, and enterprise/customer protections. - Provide code review that’s thorough, helpful, and kind. - Step into incidents outside your normal scope in emergencies; improve detection, prevention, and response. **Collaboration & Mentorship** - Grow other engineers over time; tailor feedback to each person. - Build strong relationships with product, design, and cross-functional partners; represent your team’s technical view in planning and trade-offs. - Write clear narratives to drive understanding and decisions; adapt communication to your audience. - Influence hiring and help develop strong engineering talent. --- **About You** **AI Practice** - AI is core to how you work; you can explain with examples how it changed scoping, building, and reviewing. - You’ve built AI tooling (skills, MCP servers, context files, evaluation harnesses, or agentic workflow
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