1 day ago
Base Salary
$244k - $254k/yr
Responsibilities
- Define the architecture and technical direction for AI-native developer tooling, including context aggregation, MCPs, CLIs, skills, sub-agents, and integrations.
- Guide delivery of autonomous development agents and cloud-agent solutions with appropriate access controls and guardrails.
- Establish standards and strategies for AI-assisted code generation, review, testing, documentation, refactoring, and incident-management workflows.
- Design pre-review and triage tooling that automates mechanical and policy issues and define standards for reviewing AI-generated code.
- Architect systems that optimize AI costs, abstract model selection, route tasks to appropriate models, and measure developer velocity and outcomes.
- Coordinate technical outcomes across platform, infrastructure, application, and engineering teams, including build-versus-buy, cost, and risk decisions.
- Write strategy documents, specifications, and documentation; communicate technical tradeoffs across departments and leadership levels.
- Mentor senior engineers in building durable and auditable AI-assisted engineering practices.
Requirements
- Bachelor’s or master’s degree in computer science or a related field, or equivalent practical experience.
- 10+ years of professional software engineering experience, including recent hands-on work with LLM-based tooling such as agents, MCP servers, or coding assistants.
- Direct experience integrating AI tools into real development workflows such as code review, testing, code generation, or documentation, ideally at organizational scale.
- Strong system design skills and experience owning tools or platforms end-to-end from design through adoption across multiple teams.
- Experience designing and consuming APIs, webhooks, or other integration and message-based systems.
- Experience building developer tooling, internal platforms, CI/CD systems, or other software primarily used by engineers.
- Experience with Java/JVM and/or Python is a plus.
- Pragmatic problem-solving skills and the ability to troubleshoot complex technical obstacles.
- Excellent communication and interpersonal skills, including the ability to lead technical discussions with engineers and leaders through the senior-director level.
Benefits
- Competitive compensation package with equity and a 401(k).
- Medical, dental, and vision plan options, plus company-paid short- and long-term disability coverage.
- Paid time off, including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave as required by law.
- Paid parental leave, discounted meals, and exclusive perks across Wonder’s brands.
- Benefits eligibility, effective dates, and plan options vary by employment classification and location.
Categories
About Wonder
Wonder builds a mealtime platform that lets customers mix dishes from multiple restaurant brands in a single order, with options for dine-in, delivery, pickup, and meal kits. The New York-based, privately held company owns and operates its kitchens and technology and also develops robotic cooking systems used with enterprise B2B clients. Wonder expanded its portfolio by acquiring meal-kit pioneer Blue Apron in 2023.