• Contribute to AI model training initiatives by curating code examples, offering precise solutions, and providing meticulous corrections in specialized programming languages. • Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. • Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.

• Develop modern frontend applications using TypeScript and React. • Design and implement backend services in Python and Go. • Build clean, well-tested APIs that power complex engineering workflows. • Engage directly with product managers, designers, and occasionally customers to understand real-world workflows. • Build internal and customer-facing developer tools, SDKs, and workflow automation systems. • Build systems that function reliably in secure, regulated, or air-gapped settings.

• Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure. • Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations). • Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling. • Lead API design and implementation with a focus on usability, performance, and long-term maintainability. • Architect and evolve microservices using domain-driven design principles. • Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities. • Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities. • Provide technical leadership, mentorship, and architectural guidance to engineers. • Establish and elevate engineering best practices across design, development, testing, and operations.

• Leading or significantly contributing to medium-to-large feature releases; usually multi-person projects that cross engineering team boundaries • Acting as a clear expert in one or more technical areas • Contributing high quality, impactful technical contributions • Participating in the design review process, seeking and providing constructive criticism • Demonstrating ability to succeed in a wide range of complex situations across multiple axes: e.g. scale, uncertainty, interconnectedness • Monitoring and adjusting team pace to instill urgency for success but protect from burnout • Estimating and managing project timelines and risk • Crossing team and service boundaries to solve problems • Building relationships with stakeholders including customers, product managers, cross-functional partners, and external partners • Contributing to defining strategic direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success • Ensuring that knowledge is shared amongst the team and does not position themselves or others as a single point of failure • Mentoring multiple engineers, primarily Level 1 engineers through Level 3 engineers • Working through others, lifting the skills and expertise of those around them • Advising manager with insights and recommendations to improve the team • Participating in the hiring process, as needed (by submitting referrals, meeting candidates, attending recruiting events, or presenting externally) • Participating in engineering interviews, as needed • Completing thoughtful and constructive code reviews in a timely manner • Meeting and maintains 6 month performance milestones provided by their manager • Responsible for one or more product areas or other IC leadership role (Product Lead, Scrum Master, etc)