• Design and develop flight-critical software using Simulink, Stateflow, and related MathWorks tools for model-based design. • Define software architecture, modeling standards, and development workflows aligned with DO-178C and DO-331. • Create, maintain and review software requirements, models and auto-generated code. • Ensure robustness and traceability through requirements-based design, verification, and certification artifact production. • Collaborate with engineers from cross functional groups such as systems, safety, hardware, flight controls and test to ensure product and program level needs are met. • Support integration into CI pipelines, including model checks, code generation, static analysis, and automated verification. • Contribute to planning and execution of SOI audits and certification reviews. • Create and maintain comprehensive documentation for software requirements, architecture and design decisions • Support hardware-in-the-loop (HIL), processor-in-the-loop (PIL), and flight testing activities.

• Architect, maintain, and evolve the core API platform infrastructure used by all product teams • Define and enforce API governance standards, including request/response schemas, naming conventions, error envelopes, authentication patterns, and security guidelines • Own API lifecycle management: versioning, migration, deprecation, and compatibility guarantees. • Lead the creation of tooling for SDK generation, documentation automation (OpenAPI), contract validation, and developer onboarding workflows • Design and scale multi-tenant, high-traffic API systems handling millions of requests/day • Build frameworks for API reliability: rate limiting, circuit breaking, retry semantics, idempotency, and data consistency patterns • Architect secure and resilient integration pipelines: webhooks, events, streaming services, and async workflows • Build an exceptional API developer experience through consistent design, intuitive onboarding, powerful debugging tools, and clear documentation • Shape and maintain an internal API catalog/schema registry used across teams • Improve API observability via structured logging, telemetry standards, SLO-driven dashboards, and API analytics. • Work with product managers to shape platform strategy around extensibility and ecosystem growth • Partner with engineering teams to guide API modeling, breaking-change mitigation, and backwards-compatible evolution

• Build automated outbound engines that scale targeted outreach across ICPs and target personas across Enterprise and Mid-Market segments • Turn signals (site activity, content consumption, intent) into automated actions • Own nurture tracks across early interest, evaluation, rollout, and expansion • Lead CRO across key touchpoints using structured experiments • Own demand capture: SEO, paid search, targeted social, retargeting • Build inbound routing, scoring, and follow-up systems • Create ADR-ready systems: cadences, messaging, triggers, follow-up logic • Build partner-driven demand loops • Build full-funnel reporting exposing friction and opportunity • Test new channels and double down on what drives pipeline

• Architecture Leadership Guide the architecture vision for D2C platforms with a mobile-first and AI-native mindset • Define roadmaps across mobile and web with emphasis on scalability, maintainability, and rapid experimentation • Champion modern patterns including micro frontends, server-driven UI (SDUI), BFF, and serverless systems • Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals • Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams • Integrate AI into every layer of architecture to support thoughtful, agentic system design. • Platform and Technical Leadership Lead technical design across consumer products and internal platforms • Shape cohesive end-to-end architecture spanning APIs, services, and frontends • Guide strategic areas such as identity, content delivery, personalization, and A/B testing • Support agent-based automation and apply MCP to enable scalable AI workflows • Ensure security, observability, and operational excellence across systems • Collaboration and Influence Be a technical partner across product, data, cybersecurity, and platform teams • Mentor engineers and architects across domains • Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows • Advance system-level thinking and reusability through shared scaffolds and frameworks • Innovation and Organizational Impact Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms • Promote agent-based design, prompt abstraction, and developer enablement across teams • Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.