Senior Software Engineer, Product

Build customer-facing systems that help teams configure, train, test, and monitor sophisticated AI agents in production.

Responsibilities

• Reduce manual effort by delivering self-serve functionality for agent configuration, training, and deployment
• Create configuration abstractions that support both enterprise use cases and non-technical usability
• Develop AI-powered tooling enabling CX and ops teams to create and manage complex agent workflows without writing code
• Implement monitoring, tracing, and analytics that highlight actionable failure signals, including where an agent fails and why
• Work on agentic systems at scale, contributing to critical production flows for Fortune 100 companies
• Run evaluations on new text and voice models, then integrate winning candidates into production traffic

Requirements

• 4+ years building software products with strong product thinking
• Proficiency in Python and comfort working across the entire stack
• Ability to turn complex technical capabilities into simple, usable interfaces
• Complex systems instincts, including asynchronous programming and understanding failure modes that show up at scale
• Strong debugging skills for system failures in deep technology stacks, using the right tools to reach the answer
• Skill in translating customer requests into clear, well-scoped product and technical specifications
• Good judgment on when to ship quickly versus when to slow down and build correctly

Technologies

• Python

Benefits

• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g., 401K, pension)
• Parental Leave
• Fertility and family building benefits through Carrot
• Monthly stipend to support your wellness, lifestyle, and work-life balance
• Daily lunches and snacks in the office
• Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

Compensation

• $200,000 - $400,000 per year + offers equity
• Compensation range depends on experience, skills, and scope of responsibilities
• Final compensation may vary based on location within the United States

Additional background (Even Better)

• Experience with LLMs, prompt engineering, evals, or AI agent systems
• Experience building developer tools, APIs, platforms, or internal tools that became customer-facing
• Experience with observability, data visualization, or analytics products
• Experience building security-sensitive systems such as authentication and data access controls
• Experience working with multi-modal or voice models

Location: New York, NY (onsite)