Product Engineer

Location: San Francisco, CA
Company Stage of Funding: Series A (venture-backed, $30M raised)
Office Type: Full-Time, In-Office
Salary: $200,000 – $350,000 USD
Visa Sponsorship: Available

1. Company Description

We’re representing a venture-backed AI infrastructure startup building agent behavior monitoring (ABM) platforms that help companies deploy reliable, correct, and continuously improving AI agents in production. The company is tackling one of the most critical challenges in modern AI: ensuring agents behave safely, learn from real-world interactions, and scale without breaking customer trust.

Backed by top-tier investors and operating out of San Francisco, the team is composed of exceptional engineers and researchers with deep backgrounds in AI, systems, and infrastructure. This is a high-agency environment where engineers work closely with customers, influence product direction, and see their work deployed directly into real production systems.

The culture emphasizes craftsmanship, speed, and taste — building products that are not only powerful, but genuinely enjoyable to use.

2. What You Will Do

As a Product Engineer, you’ll focus on building high-quality, full-stack product experiences for self-learning AI agents. This role blends engineering, product thinking, and customer collaboration, with a strong emphasis on user experience and rapid iteration.

You will:

• Design and build thoughtful, high-taste user experiences across the product.

• Develop core full-stack features using TypeScript, including frontend, backend, and database work.

• Collaborate closely with designers to refine user flows based on customer feedback.

• Work directly with customers to understand their needs, gather feedback, and pitch new product ideas.

• Experiment with new features and technologies, rapidly prototyping and demoing ideas to the team.

• Contribute to product design reviews, ensuring usability, clarity, and polish.

• Ship features end-to-end that make a direct impact on how AI agents behave in production.

3. Ideal Background

The ideal candidate is a product-minded engineer with strong execution skills and a genuine interest in AI agents and product quality.

• 2 years of experience in product or full-stack engineering at tech startups (Seed to Series E).

• Strong proficiency across the stack, particularly with TypeScript.

• Experience building product-facing features with attention to usability and design quality.

• Comfortable working closely with designers and customers.

• High agency — able to identify problems, propose solutions, and ship independently.

• Passion for AI agents, agent reliability, or applied AI systems.

• Technical undergraduate degree or equivalent experience.

4. Preferred

• Experience at a product-first or AI/agent-native company.

• Frontend-leaning full-stack experience.

• Prior work at fast-moving startups known for product quality.

• Familiarity with AI, ML systems, or agent-based products (not required, but a plus).

5. Compensation and Benefits

• Salary: $200,000 – $350,000 USD base, depending on experience.

• Equity: Competitive equity package.

• Work Model: Full-time, in-office role based in San Francisco.

• Visa Sponsorship: Available.

• Growth: Opportunity to work directly with founders, influence product direction, and gain deep exposure to AI systems in production.

• Impact: Build foundational infrastructure that improves the reliability and performance of AI agents used by real customers.

• Team: Tight-knit, collaborative environment with high trust and ownership.

Equal Opportunity:
The company is committed to creating an inclusive workplace. Employment decisions are based on qualifications and business needs without regard to protected characteristics. Discrimination and harassment of any kind are prohibited.