The ad says“You have an understanding of Data Science and comfortable with manipulating/cleaning/normalizing data”
The ad says“You have an understanding of Data Science and comfortable with manipulating/cleaning/normalizing data”
The ad says“Proficiency in a backend language like Python, TypeScript, Kotlin, or Ruby”
The ad says“Proficiency in a backend language like Python, TypeScript, Kotlin, or Ruby”
The ad says“Proficiency in a backend language like Python, TypeScript, Kotlin, or Ruby”
The ad says“Proficiency in a backend language like Python, TypeScript, Kotlin, or Ruby”
Values
The ad says“Familiarity with LLM techniques (RAG, vector databases, LangChain, agent frameworks) is a plus”
The ad says“Familiarity with LLM techniques (RAG, vector databases, LangChain, agent frameworks) is a plus”
The ad says“Familiarity with LLM techniques (RAG, vector databases, LangChain, agent frameworks) is a plus”
The ad says“Familiarity with LLM techniques (RAG, vector databases, LangChain, agent frameworks) is a plus”
We’re looking for a Senior Software Engineer to join our engineering team in New York
You’ll architect, build, and own key functionality of our Campaign Builder and AI Agent experiences—core surfaces that let marketers and sellers generate, edit, and launch personalized campaigns across accounts
This role is central to how Mutiny brings our agentic vision to life: helping enterprise teams go from idea to personalized assets with speed, trust, and quality
You’ll partner closely with PM and Design to define the end-to-end experience—from conversational AI collaboration to guardrails for brand consistency
Build all across the stack to deliver a world class AI agent that helps sales and marketing teams create breakthrough experiences
Work with top notch AI tooling from cloud based coding agents, agent networks
Collaborate closely 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
Help grow our engineering team to tackle a huge opportunity
Contribute to our culture of engineering excellence and work at the bleeding edge of AI development
Benefits
You will have fun, plain and simple. There is a reason our first company value is that work should feel like play.
You will experience a new way of working. Our team is fully distributed across the US and EU. But we come together as a company for quarterly offsites (usually in super fun places). This combination of experience-based working is a competitive advantage we plan on leaning into.
You will get exposure to real business problems every company faces (growth) that you can take with you to start your own company (or to help scale another).
You will create a name for yourself by bringing a level of design polish never before seen in this category while developing a spicy brand (in an otherwise boring space).
Preferred experience
Proficiency in a backend language like Python, TypeScript, Kotlin, or Ruby
You have a “full-stack” mindset — you can be autonomous in implementing features e2e which helps you design features that deliver customer value
Someone who is energized by ambiguity and can create structure in a dynamic, fast-paced environment
You communicate nuanced ideas clearly, whether you’re explaining technical decisions in writing or brainstorming in real time
Familiarity with LLM techniques (RAG, vector databases, LangChain, agent frameworks) is a plus
5+ years of experience in software engineering
You have an understanding of Data Science and comfortable with manipulating/cleaning/normalizing data
You love to collaborate with engineers across the spectrum of seniority and experiences
Recruitment process
Hiring Manager Phone Screen (45 minutes): you’ll meet with our CTO to discuss your experience in engineering AI or data powered systems and how this role aligns with your career goals
Virtual Onsite (two 90 minute technical interviews, one 60 minute culture interview): you’ll meet with more members of the team to dive deeper into your experience and see if there’s potential for a great fit at Mutiny