Today companies spend over $1T to bring customers to the door, but $19 of every $20 they spend does not convert to revenue. Companies have no choice other than to dedicate large engineering and data science teams to manually build more relevant, higher converting experiences for different customer segments.

Mutiny is a no-code AI platform that helps marketers convert their top of funnel demand into revenue, without engineers. Mutiny gives marketers everything they need to drive revenue and prove it — from data and analytics to AI-powered recommendations and content writing. We are backed by Sequoia Capital, Tiger Global, Insight Partners, Y Combinator and CMOs from some of today’s fastest-growing tech companies including AngelList, Carta, Gong, Hopin, Salesforce and Snowflake.

Company Overview

Most marketing teams can’t play a meaningful role in breaking through to target accounts because the 1:1 marketing strategies that work don’t scale, and what scales doesn’t work.

Mutiny helps B2B companies generate pipeline and revenue from their target accounts through AI-powered personalized experiences, 1:1 microsites, and account intelligence.

Our customers are some of the fastest growing companies in the B2B space including Snowflake, 6sense, Writer, Segment, and Qualtrics. We are backed by Sequoia Capital, Tiger Global, Insight Partners, and Y Combinator.

About the role:

We’re looking for a high-impact software engineer who enjoys working at the intersection of applied AI and Data Science to drive important product initiatives.

What you’ll do:

• Build across the stack to help best-in-class B2B companies scale their growth.
• Collaborate with design and product to build SOA AI-powered features.
• Build scalable and resilient systems on top of the inherently non-deterministic nature of LLMs.
• Design and build data and AI powered services to be consumed by other engineering teams.
• Help set direction for Mutiny’s data and AI strategy.

What you bring:

• 5+ years of experience in software engineering
• Proficiency in Python.
• You have an understanding of Data Science and comfortable with manipulating/cleaning/normalizing data.
• You have a “full-stack” mindset — you can be autonomous in implementing features e2e which helps you design useful AI services to be consumed by other teams.
• You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time.
• You love to collaborate with engineers across the spectrum of seniority and experiences.
• Someone who is energized by ambiguity and can create structure in a dynamic, fast-paced environment.
• Familiarity with LLM techniques (RAG, vector databases, langchain, agent frameworks) is a plus.

What you’ll get out of it:

• You will create a name for yourself by getting to work with and support some of the fastest-growing companies in B2B SaaS.
• 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 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 North America and the EU. But we come together as a company for quarterly offsites (most recently in fun cities like Denver, Miami, and Santa Monica). This combination of experience-based work is a competitive advantage we continue to invest in.

Hiring process for this role:

The hiring process for this role looks like this:

• Hiring Manager Phone Screen (30 minutes): you’ll meet with the hiring manager to discuss your experience in engineering AI or data powered systems and how this role aligns with your career goals.
• Technical Challenge (60 minutes): you’ll meet with one of our engineers to dive deeper into your technical skills.
• Virtual Onsite (three back to back interviews): you’ll meet with more members of the Guidance and leadership team to dive deeper into your experience and see if you have potential to be a great fit for Mutiny.

Our values:

These values define how we approach our work every single day:

😜 Work should feel like play 

🏃 Faster always wins

🍯 Stir the pot, regularly

👀 Do the right thing when no one’s watching

🛥️ All hands on deck

🌎 Live in the world you want to change

At Mutiny, we are committed to empowering individuals of all backgrounds, experiences, and identities to reach their potential. We believe in balanced teams, which is why we have maintained a 50% male-to-female ratio in our investors and are committed to maintaining diversity of gender, lifestyle, ethnicity, and thinking in our team as we scale.

Compensation:

Mutiny is proud to offer a competitive compensation package to all full-time employees, including base salary, equity, and comprehensive benefits. The estimated salary range for this role for US-based employees is $170,000-210,000.

These ranges may be modified in the future.

Additional benefits:

• Live and work from anywhere
• Quarterly offsites in fun cities like Denver, Miami and Santa Monica
• Flexible paid time off and generous parental leave
• 100% medical, dental, and vision coverage
• $1,500 WFH stipend

We are fully remote and offer H1-B Sponsorship.

Mutiny does not accept agency submitted candidates for this posting.

Our stack consists of React, TypeScript, Ruby, and Rails. as well as Redis, Postgres, and Elasticsearch for data storage. Our CTO comes from a product and infrastructure background, bringing an engineering first approach to growth technology.

Some of our challenges include:

• Building a privacy-first data store that never shares PII or customer data. We leverage data store policies to ensure there are walled gardens between customers and privacy is respected.
• Architecting low latency data infrastructure that processes millions of events from various data sources to create a unified data layer. We keep latency to a ridiculously low number using a combination of CDN edge caching with Fastly, efficient event processing pipelines, and data store optimizations.
• Building products that expose machine learning infrastructure for automated segmentation, with an incredibly simple to use interface.
• Building efficient content delivery libraries for use in the browser, enabling non-technical team members to easily personalize their website. We make use of native browser APIs for efficient DOM rendering using features like MutationObservers, WebWorkers, and hooks for browser layouts.