Software Engineer / Developer
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Role details
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Job description
- Work across a modern stack (e.g., React, TypeScript, Node.js, Python, Go) depending on role and experience.
- Build high-scale backend services, AI-native frontend’s, or own features across the entire stack.
- Architect systems that process and model large datasets, power interactive UIs, or enable new AI-driven user experiences.
- Own projects end-to-end - from ideation and design through implementation, deployment, and iteration.
- Ship quickly, measure impact, and continuously refine the product experience.
This posting covers multiple roles - whether you’re frontend-leaning, backend-heavy, or an experienced full-stack engineer, there’s a place for you. What You’ll Do (Depending on Role) Backend / Data / Platform Engineering
- Design and deliver large-scale, distributed backend systems.
- Build data pipelines, ETL/ELT flows, and high-volume event-driven architectures.
- Profile, optimize, and tune systems for performance, cost, and reliability.
- Build internal platforms, APIs, and developer tooling used by other teams.
- Work with large datasets (billions of rows) to produce insights and support ML/statistical modeling.
- Collaborate cross-functionally to translate real customer use cases into robust systems.
Frontend / Full-Stack Engineering
- Own end-to-end development of high-performance, elegant UI/UX experiences.
- Translate ambiguous ideas into polished, intuitive interfaces.
- Integrate AI capabilities into human-centered interactions (e.g., inline agent suggestions, real-time feedback loops).
- Build and maintain scalable design systems and component libraries.
- Deliver features rapidly while balancing polish, performance, and technical soundness.
- Implement analytics and experimentation to guide iteration.
Requirements
We are hiring exceptional engineers across frontend, backend, full-stack, and platform/data to help build high-performance, intelligent products used by global customers. If you thrive in fast-moving environments, enjoy solving complex problems end-to-end, and want to work on cutting-edge systems at scale, we’d love to hear from you., * Frontend: React, TypeScript, Next.js, Tailwind, performance optimization, accessibility, responsive design.
- Backend: Python, Go, TypeScript/Node.js, distributed systems, event-driven architectures, API design.
- Data/Platform: Pipelines, ETL/ELT, schema design, ClickHouse/Postgres/Redis/DynamoDB, large-scale data modeling.
- Full-Stack: Comfort working across both frontend and backend systems.
General Qualifications
- 4-7+ years of experience writing production-level software.
- A systems mindset - ability to design components that scale and evolve.
- Strong debugging, profiling, and optimization skills.
- Ability to balance rapid iteration with long-term maintainability.
- Clear, concise communication - written and async collaboration is key.
- High ownership: thrives in ambiguity, takes initiative, and raises the bar for quality.
Bonus Points
- Experience building platforms others rely on.
- Familiarity with AI/ML, statistical modeling, or real-time data environments.
- Prior startup experience: comfortable moving fast, iterating, and wearing multiple hats.
Benefits & conditions
| Remote or Hybrid | Full-Time Employee | Competitive Compensation + Benefits + Equity |
| Locations: Fully Remote in United States | Hybrid in Mountain View, CA | Hybrid in Toronto, Ontario, Canada, * High impact: Everything you build directly shapes the user experience and core product. |
- Small, senior team: Work alongside exceptional engineers and domain experts.
- Ownership & autonomy: You’ll have significant responsibility and room to innovate.
- Cutting-edge tech: Work with modern frameworks, large-scale data, and AI-powered systems.
- Competitive compensation: Salary, equity, and full benefits.
About the company
We build modern, AI-powered products and large-scale data systems that help businesses operate smarter, faster, and more efficiently. Our teams ship quickly, iterate often, and value craftsmanship, ownership, and intellectual honesty. We believe in prototyping early, embracing ambiguity, and continuously learning - individually and as a team.
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