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Staff Software Engineer – Product
LawnStarter. Serve as the engineering anchor of a product initiative .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-native technologies and architecture decision-making, with a strong focus on outcome-driven metrics and collaboration with cross-functional teams. Capable of creating reusable artifacts and ensuring production quality through effective oversight of AI coding agents.
Highest-signal resume keywords
AI-Native TechnologiesArchitecture Decision-MakingOutcome-Driven MetricsCollaboration with Product ManagersReusable Artifacts Creation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Claude CodeCursorCodexPHP/LaravelTypeScriptReactReact NativeRedshiftDbtAirflow
Soft Skills
Strong PartnershipCustomer-Minded ApproachDecision-Making
Tools & Technologies
AWSDatadogSentryGitHub ActionsConfluenceJira
Industry Keywords
ObservabilityIntegrationRollout PlansPost-Launch ReviewAgent Workflows
Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSLaravelPHPReactReact NativeTypeScript
About the role
Key responsibilities & impact- Serve as the engineering anchor of a product initiative
- Shape problems and decide the technical approach
- Own architecture, data model, integrations, rollout plans, observability, and rollback strategies
- Direct AI agents to implement code and ensure production-ready quality
- Establish prompts, guardrails, evals, tests, and review loops
- Ship initiatives from problem framing through production and post-launch review
- Partner daily with the PM on scope and tradeoffs and with the designer on UX decisions and prototyping
- Collaborate with engineering peers and meet weekly with the Engineering Manager
- Own initiative metrics and present results 2–4 weeks after launch
- Ensure production correctness, security, performance, observability, and customer/pro experience
- Ship 3–4 initiatives in the first year and help at least two move their metrics
- Create reusable runbooks, evals, agent workflows, and post-launch write-ups
Requirements
What you’ll need- AI-native: Claude Code, Cursor, Codex, or equivalent used daily on production work
- Real opinions and experience with prompts, evals, agent loops, and review workflows
- Experience building a workflow where agents write code while you steer, review, and verify
- Operating at a lead level: making decisions, shipping difficult work, and owning outcomes
- Outcome-driven and experienced reading post-launch dashboards and measuring metrics
- Strong partnership with product managers, designers, and engineering peers
- Ability to make and document architecture, data-model, and rollout decisions
- Experience creating reusable artifacts such as agent workflows, evals, runbooks, and post-launch reviews
- Customer- and pro-minded approach
- Deep skill in at least one listed technology stack
- Credible production experience with AI coding agents
- Experience with one or more of: Claude Code, Cursor, Codex, MCP servers, evals tooling, PHP/Laravel, TypeScript, React, React Native, Redshift, dbt, Segment, Airflow, AWS, Datadog, Sentry, GitHub Actions, Brain, Confluence, Jira
Benefits
Comp & perks- Competitive salary of USD $85,000–$125,000 annual base
- Work from anywhere
- High ownership and autonomy
- Fast-moving team that loves to build, learn, and grow