• Develop and design new and innovative solutions to scaling Reddit • Build platform API projects that scale to the rest of the organization • Mentor and coach more junior engineers on your direct team to achieve our mission • Build, deliver, and operate services that scale to hundreds of thousands of transactions per second at 5+ 9’s of availability • Help us to optimize Reddit’s media experience for hundreds of millions of users across the world.

• Own and drive the technical roadmap for collision-free motion planning across whole-body motion, manipulation, grasping, and loco-manipulation • Design, implement, test, and deploy motion planning and trajectory optimization algorithms for humanoid robots • Architect motion planning systems for modularity, observability, and clean integration with perception, state estimation, and control • Develop algorithms robust to environmental uncertainty and imperfect state estimation • Lead cross-team architectural decisions and collaborate with autonomy, controls, and behaviors teams to solve complex system-level problems

• Set technical direction across multiple domains of Pathstream's platform and shape architecture decisions that span service and team boundaries. Produce the technical documentation that lets your team learn from and execute. • Own the most complex, ambiguous, and consequential technical work in your domain end-to-end: greenfield service design, large refactors, new platform capabilities, and unprecedented problems with no clear playbook. • Anticipate systemic risks across the platform before they surface, scalability ceilings, data-flow brittleness, security posture, cross-service contracts and drive resolution. • Operate as a credible voice at the engineering org level. Lead roadmap conversations that cross team boundaries, identify and drive resolution of org-level technical risks, and influence how Pathstream's engineering teams build collective technical capability. • Set and evolve the bar for quality versus speed in your domain, ensuring alignment with strategic goals and coaching others on making pragmatic trade-offs. Fostering a culture that values effective execution without unnecessary complexity. • Act as a senior technical authority for security and compliance in your domain. Partner with engineering leadership on SOC2, vulnerability management, threat modeling, and the controls that protect Pathstream's enterprise customers and learners. • Be deeply involved in code reviews of significant scope and impact. Provide thorough, constructive feedback that raises the quality bar and that helps less experienced engineers grow. • Be willing and able to jump into incidents well outside your normal scope of work in an emergency. Translate on-call insights and operational pain into new technical priorities and architectural opportunities. • Be a hands-on practitioner and force-multiplier for AI-native engineering at Pathstream. You are not just adopting AI-enabled development tools (Claude Code) you are pushing the frontier of how Pathstream uses them. • Lead the design and adoption of agentic engineering workflows in your domain where AI systems assist with or automate multi-step engineering tasks. Build internal frameworks, skills, MCP servers, evaluation harnesses, and reusable patterns that let engineers leverage AI safely and effectively. • Partner with engineering leadership to shape Pathstream's evolving AI engineering strategy: evaluate emerging tools, define where AI creates the most leverage, and ensure responsible adoption aligned with internal AI guardrails. • Coach engineers across the organization on how to collaborate effectively with AI systems. Define what good context engineering looks like, when to use which tool, how to evaluate AI-generated output, and how to know when not to trust it. • Directly manage two mid-level engineers. Own their growth and performance end-to-end, regular 1:1s, growth plans, performance reviews, compensation recommendations, and timely candid feedback. • Your 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.

Role Description The GAIL (Get AI Live) program deploys engineers directly into strategic customer engagements to drive real AI adoption and measurable value realization. The GAIL Core Team is the permanent engine behind that program — the stable foundation of institutional knowledge, tooling ownership, and senior expertise that makes every engagement, and every rotating engineer, better than the last. As a Staff Software Engineer on the GAIL Core Team, you will own the hardest engagements, set the quality standard for the entire practice, and build the infrastructure that scales it. This is hands-on, customer-facing work — not theoretical process — and it compounds in impact with every engagement you lead, and every engineer you bring up behind you. What you get to do in this role: - Lead the most complex GAIL and Go-Live Support engagements — large-scale enterprise deployments, escalations, and high-stakes go-lives where depth and experience matter most. - Own and evolve the GAIL playbook — keeping deployment standards, required gates, and prescribed sequences current, accurate, and actionable across the program. - Build, maintain, and push shared GAIL tooling across all engagements — reducing reinvention and raising the floor for every engineer in the rotation. - Mentor and ramp incoming GAIL engineers through structured onboarding, shadowing, and coaching on first customer interactions. - Capture patterns from complex deployments and feed them into the team's knowledge base — turning hard-won lessons into reusable assets that proactively uplift the whole team. - Drive quality standards across the GAIL practice — defining what great looks like and holding the line on it. - Partner with product and engineering to surface field signal from customer engagements and close the feedback loop. Qualifications - 6+ years of software engineering experience, ideally with a mix of enterprise product work and hands-on customer or field delivery. - Strong coding ability in JavaScript and one or more additional languages (Java, Python, or equivalent), with a track record of building and shipping production-quality solutions. - Experience deploying or integrating AI features and GenAI models — including Now Assist, AI Agents, or equivalent platforms — in real customer environments. - Familiarity with prompt engineering and the judgment to tune non-deterministic outputs for reliability and production-grade clarity. - A bias for standards over shortcuts — you know when a playbook gate applies, when it doesn't, and you own that call with clear reasoning. - A builder's instinct for shared tooling and reusable patterns — you don't reinvent the wheel when you can build something the whole program can use. - The ability to mentor effectively — you raise the level of the engineers around you through direct coaching, not just example. - Strong communication skills across technical and non-technical audiences, including customer-facing executive stakeholders. Requirements - For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits. - Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. - Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. - We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Benefits - Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information - Work Personas: We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. - Equal Opportunity Employer: ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. - Accommodations: We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. - Export Control Regulations: For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals.