Lead end-to-end development of user-facing, full-stack product features for SkyPilot's open-source and commercial offerings. Scope, implement, deploy, and iterate on frontend and backend integrations to drive growth and delightful UX.
SkyPilot is building the future of multicloud AI infra. We are the Berkeley founding team commercializing SkyPilot (9.5K+ GitHub stars, 200+contributors), to enable AI to run on different cloud infrastructures in a portable, cost-optimizing, and highly available way.
SkyPilot is deployed at 100s of companies, including Fortune 500s and top AI-natives (Shopify, Redis, Abridge, Hippocratic, Applied Compute, etc.). In 2025, adoption grew >600%, now launching more GPUs per month than the biggest neocloud’s fleet. Currently in stealth, SkyPilot is founded in 2024 by UC Berkeley PhDs and professors (incl. Databricks cofounders). We’re building a top-tier engineering team, with current talent from Databricks, Google, Crusoe, ByteDance, and PingCap.
As a Software Engineer in Product, you’ll lead full-stack, user-facing features and products in SkyPilot’s open-source and commercial offerings:
- Own user-facing features end-to-end: From ideation, to scoping, to implementation, deployment, and refinement based on user signals
- Drive growth and delightful UX: Understand what makes features delightful, useful, and sticky; ship new features geared towards growth, owning everything from frontend design to backend integration
Ideal Candidates
You are a seasoned engineer with experience building SaaS/cloud platforms from zero to one.
- 3+ years of experience in full-stack product development at startups
- Familiar with best-in-class tooling in the ecosystem: e.g., NextJS, TypeScript, FastAPI, Python development, SQLAlchemy, Postgres, and more
- Great product taste: You have an unusually great taste in delightful products and measure your work to that standard; you understand what makes great UX/UI great
What We Offer
- Competitive equity, compensation, and health benefits.
- Chance to work with some of the best minds in cloud, distributed, and AI systems, with significant autonomy and ownership.
- Front-row seat at the latest open-source infra startup from Berkeley.
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design and build platform systems that enhance software shipping speed and confidence, collaborating across engineering teams to improve existing infrastructures and workflows.
Top Skills:
AICi/CdDatabasesEvent StreamingGoJavaKafkaKubernetesObservabilityRuby
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Senior Software Engineer, you will design and operate platform systems, improve engineering workflows, and utilize AI tools to enhance development processes across teams.
Top Skills:
Ai-Assisted Engineering ToolsCi/Cd SystemsDatabasesEvent StreamingGoJavaKafkaKubernetesRuby
Artificial Intelligence • Software • PropTech • Automation
Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.
Top Skills:
C++23Cad/BimGCPPostgresPythonSvelteTypescriptWebassembly
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
