Staff Backend Engineer (Typescript / Node.js)

Staff Backend Engineer (Typescript / Node.js)

San Francisco, CA (On-site)

About the Company

We’re an early-stage AI infrastructure company building the data foundation for the next generation of intelligent systems.

Our team approaches data with the same level of rigor that research labs apply to model development. We focus on turning complex real-world signals, particularly human speech and audio, into high-quality training datasets used by leading AI organizations.

Founded by operators and engineers who previously built large-scale data platforms for major AI companies, the business has grown quickly and already supports several top technology companies and frontier AI labs. The company recently raised a large growth round from well-known venture firms and strategic technology investors.

The team is small, fast-moving, and deeply technical. We value ownership, strong engineering taste, and people who enjoy solving hard problems close to the frontier of AI.

About the Engineering Team

Engineers here build the infrastructure and product systems that convert raw multimodal data into usable, high-signal datasets for advanced AI training.

This includes:

• real-time pipelines processing very large audio datasets
• tooling that enables data collection, evaluation, and analysis
• production systems supporting research iteration

The team ships frequently, owns projects end-to-end, and collaborates closely with research, product, and operations.

About the Role

We’re looking for a
Staff Backend Engineer
to help lead development of the company’s product and data platform.

You’ll work on systems that help customers explore, evaluate, and operationalize the datasets used to train their AI models, while partnering closely with researchers building the underlying data pipelines.

This role combines
product engineering, backend systems, and applied ML infrastructure
.

What You’ll Do

• Design and build backend systems that process large-scale audio datasets and power internal and customer-facing products
• Lead development of new features across the product stack and ship quickly to production
• Build data pipelines that transform raw signals into structured datasets and insights
• Integrate and evaluate LLM-based and signal-processing systems where useful
• Partner with research and operations teams to improve data collection and iteration loops
• Mentor engineers and help establish technical standards as the engineering team grows
• Stay current with emerging frameworks across backend engineering, data infrastructure, and applied ML

What We’re Looking For

• 6+ years of software engineering experience
• Strong backend or full-stack development fundamentals
• Experience building scalable systems and production APIs
• Track record of shipping products that deliver real customer value
• Comfortable working in fast-moving startup environments
• Strong attention to detail and product quality
• Experience leading projects or mentoring engineers

Experience in ML or audio is
not required
, but curiosity about learning new domains is important.

Nice to Have

• Experience with machine learning systems in production
• Familiarity with signal processing or speech technologies
• Experience leading engineering teams or technical initiatives in high-growth startups

Example Technologies

• TypeScript / Node.js
• Modern web frameworks
• PostgreSQL
• Cloud infrastructure (AWS or similar)
• Real-time media and data processing tools

If you enjoy building
high-scale infrastructure at the intersection of data and AI
, this role offers the chance to shape the data layer powering the next wave of intelligent systems.