Senior Software Engineer
$165k - $247k • Remote • San Francisco • FullTime
Posted 1mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. This role is akin to a Forward Deployed Engineering team, working extremely close to customers and tackling their most critical technical problems. Unlike traditional FDE roles, Enterprise Engineering is responsible for a customer's technical success throughout their entire journey, from initial questions and investigations to shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop, ideal for a pragmatic generalist with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact.
Responsibilities
- Serve on the engineering front line for key customer accounts, addressing technical issues within the Slack aggregation and workflow layer.
- Answer technical questions by analyzing code, tracing behavior, inspecting production signals, and providing clear explanations.
- Diagnose and fix bugs, validating outcomes with customers.
- Design and implement product or platform features to solve customer problems efficiently.
- Act as the engineering point of contact for urgent issues in key customer accounts, coordinating responses while maintaining technical ownership.
- Represent engineering in customer office hours and recurring meetings.
- Partner with customer-facing and product teams, ensuring clear ownership, communication, and escalation paths.
- Identify recurring customer issues and drive improvements in tooling, documentation, observability, APIs, and product surfaces.
- Help define the operating model, technical standards, and culture for a new Enterprise Engineering team.
Requirements
- Strong software engineering experience with the ability to contribute production-quality code in a large, evolving codebase.
- Generalist mindset with significant depth in backend, distributed systems, infrastructure, data systems, or developer platforms.
- Excellent debugging instincts, capable of moving from imprecise reports to reproducible problems, root causes, and robust fixes.
- Comfort operating in production environments, using logs, traces, metrics, and code to understand system behavior.
- Bias toward action without sacrificing engineering quality, knowing when to make contained fixes, invest in broader solutions, or escalate.
- Clear, empathetic communication skills for both technical and non-technical stakeholders.
- Composure and sound judgment in urgent situations.
- Low ego and high ownership, willing to cross team and system boundaries for optimal outcomes.
- Ability to quickly learn broad codebases and become effective in unfamiliar systems.
- Enjoy customer proximity to become a sharper engineer with a shorter path to impact.
- Enjoy the mix of debugging, systems thinking, product judgment, and hands-on implementation.
- Energized by building a new team and defining excellent enterprise engineering practices.
Benefits
- Competitive pay and benefits packages