AI Product Engineer

Software Engineer

Location: New York City
Employment Type: Full-time
Experience: 2 years
Focus: AI-Native Engineering GTM Automation Revenue Technology Full-Stack Product Engineering

About Our Client

Our client is building an AI-powered platform that helps go-to-market teams turn customer interactions into structured data insights and intelligent action.

Their AI agents help sales and revenue organizations execute faster learn continuously and make every deal cycle more efficient and predictable. The company is building at the intersection of AI automation conversational intelligence and the modern revenue stack.

This is an opportunity to join a fast-growing venture-backed startup with strong product-market fit a sharp technical team and a mission to redefine how revenue teams work.

About the Role

Our client is hiring a Software Engineer to help design build and scale core product features across the platform.

This is a high-ownership engineering role for someone who can take ambiguous product requirements break them down design a clean solution ship production-quality code and own the feature through launch monitoring and iteration.

The team works AI-first. Engineers are expected to use LLMs coding agents and AI-assisted workflows to move quickly without sacrificing quality reliability or long-term maintainability.

What Youll Do

• Own product features end-to-end from problem definition through design development testing launch monitoring and support

• Break down product requirements into clear technical plans and shipped outcomes

• Build simple elegant systems and write high-quality code that other engineers can easily understand and extend

• Collaborate closely with product design and engineering to turn ideas into production features

• Influence product direction with your own ideas and identify ways to improve user workflows and business processes

• Balance immediate business needs with long-term architecture and platform quality

• Build across backend frontend infrastructure and AI systems depending on the problem

• Use AI tools LLMs and agents as part of the software development lifecycle

• Build testing monitoring and reliability into the way features are shipped

• Help scale a platform used by modern go-to-market teams to improve sales execution and customer intelligence

What Were Looking For

• 2 years of professional software engineering experience

• Fluency with AI-forward software development workflows using LLMs agents or AI coding tools

• Experience building production-grade software without sacrificing quality for speed

• Strong fundamentals in software design and knowing when to apply patterns like SOLID or similar principles

• Ability to take ambiguous problems and turn them into well-reasoned designs and shipped solutions

• Comfort owning features end-to-end across frontend and backend systems

• Strong autonomy ownership and bias toward action

• Experience building launching and maintaining products in fast-paced environments

• Strong collaboration skills across product design engineering and customer-facing stakeholders

• Grit adaptability and comfort navigating ambiguity in an early-stage environment

Technical Experience

Our client is especially interested in engineers with experience in one or more of the following areas:

• Go or another strongly typed backend language

• Distributed systems infrastructure or scaling

• LLM harnesses or agentic systems

• Concurrent or asynchronous processing

• Testing monitoring observability and reliability

• Full-stack product engineering

Technical Environment

Relevant technologies include: Go PostgreSQL Kubernetes AWS Kafka Redit Temporal Workflows React Tailwind GraphQL LLMs and AI Agents.

Experience with every tool is not required. Strong engineering fundamentals product ownership and AI-native development ability matter more than exact stack match.

Why This Opportunity

• Join a fast-growing AI startup with strong product-market fit

• Build at the intersection of AI automation conversational intelligence and revenue technology

• Work on products that help sales and go-to-market teams operate faster and smarter

• Own meaningful features from concept through production

• Use AI-native engineering workflows as a core part of daily development

• Work with a sharp collaborative team of repeat founders and experienced engineers

• Help shape the future of how revenue teams turn conversations into action

Benefits

• Competitive salary and equity

• Choice of new equipment and software

• Health dental and vision insurance

• High autonomy and ownership at work

  
  

Required Experience:

IC