second-nature - Staff Software Engineer, Engineering AI Team
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Responsibilities
• Build Core Platform Infrastructure: Design, develop, and ship core platform components, including workflow orchestration, third-party integrations, and sandboxed execution environments for AI agents. • Drive End-to-End Experimentation: Own the full lifecycle of rapid experiments (hypothesis → build → measure → iterate) to discover what meaningfully improves engineering velocity. • Maintain High-Quality AI Dev Loops: Leverage AI coding agents to write, refactor, and review code, maintaining the strong abstractions and opinionated architecture required for AI to be effective. • Ground AI in Reality: Act as the technical bridge between experimental AI capabilities and real-world engineering workflows, ensuring our tools solve actual pain points. • Full-Loop Ownership: Operate autonomously to take concepts from 0 to 1, delivering tangible improvements and clear signals on AI workflow efficacy without over-engineering the solution. • Key Outcomes (first 90 days) • Master our AI workflow: Integrate our AI tooling while rigorously auditing and refining AI-generated code and tests to meet our quality bar. • Ship rapidly and reliably: Consistently deliver high-impact PRs with minimal rework by ensuring thorough local testing and CI/CD readiness before review. • Plan with pragmatism: Adopt our norm of writing lightweight plans (outlining phases, trade-offs, and "good enough" criteria) for non-trivial work before coding. • Own a full experiment: Drive at least one rapid learning loop completely from hypothesis and implementation to measurement and conclusion. • Operate with high agency: Drive progress autonomously, raise blockers proactively in real-time, and maintain momentum without step-by-step direction. • Key Outcomes (90+ days) • Drive continuous experimentation: Run rapid learning loops that clearly connect your daily engineering output to measurable improvements in developer velocity. • Own complex platform architecture: Autonomously take ambiguous problem spaces from concept to shipped product without over-engineering the solution. • Set the quality standard: Cultivate an opinionated codebase with solid abstractions and high-value integration tests, actively filtering out low-value AI boilerplate. • Optimize for speed: Consistently break down complex, multi-layered initiatives into manageable, high-velocity deliverables. • Act as a force multiplier: Elevate the broader team's velocity through reliable execution, seamless end-to-end ownership, and transparent technical planning.
Benefits
• $150K – $180K • Offers Equity • Please note: to ensure that candidates select the most relevant jobs for their skills, we have set up limits to the number of times candidates can apply. The following limits apply to all roles at Second Nature: • Candidates may not apply more than 3 times in any 60 day span for any job. • Candidates may not re-apply to the same role within 60 days if not presented with an offer. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Be present and engaged during your scheduled working hours. Your specific work schedule will be based on your role and team, but you must be able to start your day at 10am or 10:30am ET at least one day per week. • Work from a quiet, professional, and distraction-free space. • Have a dependable high-speed internet connection that supports video calls, as we operate with cameras on by default. • Attend our bi-annual company-wide in-person meetings, with all business travel costs reimbursed according to company policy. • Less than one year • None; want to learn • Less than one year • None; want to learn • Less than one year • None; want to learn • Less than one year • None; want to learn • Less than one year • Less than one year • None; want to learn • Less than one year • Neutral to working at a startup or corporate organization • Love fast-paced startup • None; want to learn • Less than one year • AI is a powerful productivity tool that makes me faster and more effective — I actively look for ways to integrate it into my workflow. • AI is useful for some tasks but I'm selective about when I use it — I still rely heavily on my own expertise and judgment. • I'm cautious about AI tools — I worry about over-reliance, code quality, or security risks and prefer to use them sparingly. • I'm concerned that AI will eventually replace many engineering roles, including mine, and I'm still figuring out how to position myself.
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