Superblocks - AI Company

Position Overview

Superblocks is reimagining software development for a billion builders. Our mission is to help every team build, deploy, and manage AI-powered software with full control and flexibility.

Why Join Us?

• We’re one of the fastest-growing AI startups, backed by top-tier investors.
• Widely adopted by companies like Instacart, Sofi, Betterment, and Carrier.
• Our team comprises experienced professionals from Uber, Stripe, Datadog, Confluent, Elastic, and Google, with contributions to systems like Kafka, Kibana, Debezium, and Datadog APM.
• Strong enterprise adoption of our AI builder, Clark.
• Fully in-person at our NYC HQ near Union Square.
• We are looking for exceptional engineers passionate about creating great products.

The Role

You’ll play a key role in designing and developing the core systems that build and manage hundreds of thousands of AI applications. You’ll thrive here if you’re low-ego, hands-on, and energized by building fast, learning constantly, and solving real-world problems with smart teammates.

Responsibilities

• Design and develop the core control plane for AI agents that supports custom RBAC, auth, AI guardrails, auditing, and observability.
• Develop systems that support multiple tenants and run across cloud and on-prem setups.
• Build, deploy, and optimize AI agent performance, alignment, and evals.
• Work closely with customers to ship high-impact features driven by real-world use.
• Partner with product to define the roadmap and bring new AI tooling to life.

Requirements

Must Haves:

• 3+ years of experience in full-stack or backend engineering.
• Expertise in scalable system design and architecture.
• Strong product sense focused on great user experiences.
• Strategic thinking to meet market and customer needs.
• Commitment to building a generational AI company, beyond a 9 to 5 job.

Nice to Haves:

• Experience building and operating production AI systems.
• Familiarity with AI inference techniques.
• Experience optimizing language runtimes and enabling cross-language integration (e.g., Go, Python, C), including customizing or building WASM compilers and runtimes.
• Experience with machine learning algorithms, platforms, and frameworks like PyTorch and Tensorflow.

Compensation

• Base Salary: $175,000–$225,000+ USD
• Equity: Generous equity package
• Final compensation will be based on experience and skills.

Application Instructions

If you’re excited to build the experience that can enable the next billion builders and AI-powered apps, let’s talk.