Software EngineerLocation: New York City
Employment Type: Full-time
Experience: 2+ years
Focus: AI-Native Engineering, GTM Automation, Revenue Technology, Full-Stack Product Engineering
About Our ClientOur 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 RoleOur 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 You'll 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 We're 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 ExperienceOur 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 EnvironmentRelevant technologies include: Go, PostgreSQL, Kubernetes, AWS, Kafka, Redit, Temporal Workflows, React, Tailwind, Next.js, 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
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