Head of Engineering-Founding Team Member
Lead engineering for early-stage commerce video platform, owning Shopify app development, AI-driven video workflows with Mux, and ensuring scalability across messy storefronts. Requires AI-native building, TypeScript proficiency, and end-to-end ownership.
About the job
Responsibilities
- Own the codebase and technical direction: architecture, quality bar, shipping cadence, production reliability.
- Own and evolve a live Shopify app and storefront integration, hardening it across OS 2.0 and legacy theme realities with safe rollouts and easy rollback.
- Extend the mobile web creator upload flow with Mux: QR → prompt → record/upload → consent → submit.
- Turn content readiness from manual workflows into product: review/approve/publish, SKU mapping, internal tooling to automation.
What Success Looks Like
- Onboarding new customers becomes boring and repeatable.
- Founder minutes per merchant drops materially because workflows are productized.
- Scale customers without bespoke engineering per store.
Required Qualifications
- End-to-end production owner: design, ship, operate, and debug; close loops fast.
- Strong fundamentals: performance, reliability, security, and product/UX judgment (especially on conversion-sensitive surfaces).
- AI-native builder: ship production code with agentic tools (Cursor, Claude Code, Codex CLI, similar); use AI for speed, keep quality high with tests/CI/observability, debug AI output errors.
- Thrive in ambiguity and very small-team environment.
- Ship primarily in TypeScript today, but prioritize fundamentals and AI-native approaches.
Nice to Haves
- Shopify apps/theme integration experience, or embedded widget/SDK experience in hostile third-party environments.
- Video pipeline familiarity (Mux or similar).
- Experimentation/analytics rigor: clean event design, integrity checks, debugging.
Skills
TypeScript, Shopify, Mux, AI Tools, Cursor, Claude Code, CI/CD, Observability, Mobile Web, Embedded Widgets
Similar jobs
Engineering Management jobs
Snowflake
Bellevue, WA
Leads the product and engineering strategy for AI-native enterprise applications across Finance, HR, and Legal, partnering with executives to transform workflows into intelligent products. Requires 15+ years in enterprise technology, product management, or software engineering and substantial multidisciplinary leadership experience.
Shield AI
Washington, DC
Leads the organization responsible for deploying, sustaining, supporting, and improving integrated Hivemind software and hardware products in customer environments. Requires 15 years of technical operations or lifecycle leadership experience, systems engineering expertise, and experience building operational organizations.
ZoomInfo
Bethesda, MD
Leads senior engineering teams responsible for ZoomInfo’s operational and analytical data platforms, including Bigtable, BigQuery, ingestion pipelines, CDC, reliability, and compliant data deletion. Requires 8+ years of software, platform, or data engineering experience and direct leadership of senior technical talent.
Northwood Space
Torrance, CA
Leads the quality and reliability organization for mission-critical aerospace communication systems, establishing the QMS, driving AS9100 certification, and embedding quality and reliability across product development and production. Requires 8+ years in quality or reliability engineering and experience in high-reliability industries.
Bilt Rewards
New York, NY
Own and improve technical integrations between Bilt and property partners, translating operational needs into requirements, configurations, testing, and scalable workflows. The role requires integration troubleshooting, cross-functional issue resolution, and clear communication of technical concepts to nontechnical stakeholders.