Mutinyposted 30 days ago
$180,000 - $225,000/Yr
Full-time • Mid Level
New York City, NY
Publishing Industries

About the position

Mutiny helps B2B companies generate pipeline and revenue from their target accounts through AI-powered personalized experiences, 1:1 microsites, and account intelligence. We are looking for a high-impact software engineer who enjoys working at the intersection of applied AI and product experiences to drive key customer outcomes. This role will focus on our Data Layer - owning high scale data ingestion and analytics pipelines, LLM research processes that search public and private data sources for unique signals on target accounts, and our synthesis layer that helps marketing and sales teams understand what's most important to their prospects. This is a unique opportunity to join a well-funded company, work on critical new projects using the latest and greatest in AI, and own products that drive real enterprise value. You will report directly to the CTO, lead projects and technical implementation for new product initiatives, and be a leader in our newly opened office in NYC as we expand our team.

Responsibilities

  • Build across the stack to help best-in-class B2B companies scale their growth.
  • Collaborate with design and product to build AI-powered features that drive real customer value.
  • Build scalable and resilient systems on top of the inherently non-deterministic nature of LLMs.
  • Build a world class team of AI engineers to tackle a huge opportunity.
  • Help set direction for Mutiny's data and AI strategy.

Requirements

  • 5+ years of experience in software engineering
  • Proficiency in a backend language like Python, TypeScript, Kotlin, or Ruby.
  • Understanding of Data Science and comfortable with manipulating/cleaning/normalizing data.
  • Full-stack mindset - autonomous in implementing features end-to-end.
  • Ability to communicate nuanced ideas clearly, both in writing and in real-time discussions.
  • Enjoy collaboration with engineers across various seniority levels.
  • Energized by ambiguity and capable of creating structure in a dynamic environment.

Nice-to-haves

  • Familiarity with LLM techniques (RAG, vector databases, LangChain, agent frameworks) is a plus.

Benefits

  • Offsites in fun cities like Mexico City, Brooklyn & Denver
  • Flexible paid time off and generous parental leave
  • 100% medical, dental, and vision coverage
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