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

• Summary: Mutiny is a complete AI revenue engine that helps sales and marketing teams close their most important customers. It synthesizes data from across tools, generates personalized buyer experiences, and automates actions, all at 1000x the efficiency of manual processes. What once took months and millions now happens in hours, enabling enterprise teams to focus on strategy - not grunt work. 
• Number of Employees: ~45 today, growing to ~75 by EOY
• Investors: Sequoia Capital, Cowboy Ventures, Insight Partners, Tiger Global Management, Uncork Capital, Y Combinator
• Funding: $71M total, untouched $40m Series B

About the role

• Mutiny is seeking a Head of Product to partner with the founders in building a company set to dominate GTM.
• You'll own strategy, lead and continue to build a high-performing PM & Design team, and shape a platform that could hit $1b ARR.
• This is the most important hire and partner to the founders in the entire company. 
• They need a hungry, hands-on partner in crime who is relentless and wants to win.

Why now

• Built from the ground up with LLMs to transform how companies win accounts. No competitor has the data moat nor distribution to win in this space. 
• Opportunity to lead product at a company set to dominate GTM. Tackling a $100b market. 
• Sequoia-backed. Have untouched $40m Series B to continue innovating.
• New product launched March 2025 will go $1-6m ARR this year and reach $20-30m ARR next year. 
• Customers include Figma, Snowflake, Uber Amplitude, and more.

What you bring

• Domain/Product Expertise
  • Experience building and taking a product 0-1 either as a founder or at a large company working directly with the founder. 
  • Has built products at a b2b SaaS company that went from early through high growth stage (Series C-E) and can bring relevant best practices.
  • Some experience with business models/GTM side. 
  • Views design as critical and has a strong POV.
• Leadership
  • Experience leading teams of at least 3 PMs. 
  • Can push velocity and drive the team toward diligent, hard work. 
  • Simplifier - can get to the crux of customer value and prioritize to win. 
  • Great “sense maker” and decision maker in high ambiguity situations. 
  • Has the confidence and POV to speak up and engage with founders as equals.
• Culture
  • Phenomenal work ethic and passion to solve Mutiny’s problem space. 
  • Has a nose for value. Thinks big. 
  • Highly ambitious.

The problem

• B2B companies live or die by large accounts, yet the GTM motion is completely old school and remains a mess.
• This has been unsolved problem for 2 decades, because the only thing that works is extremely customized, tailored 1:1 attention, content creation, and hands on, which companies cannot afford. 
• Manual 1:1 efforts cost $100K/account, while generic outreach (e.g., Salesforce, Outreach) yields low conversion rates and buyer fatigue (89% now use AI to self-research).
• AI has made it worse. Outbound performance is down 71% as buyers drown in spam, yet enterprises spend trillions on GTM, desperate for a scalable, buyer-centric fix.
• Mutiny’s wedge: 30K Salesforce-using companies need 1:1 GTM for large accounts. Long-term, every B2B account deserves it, unlocking a $130B market cap potential.

The solution

• Mutiny is built from the ground up with LLMs to own a whole new category.
• With LLMs you can scale everything: account research, the back and forth meetings between sales and marketing to get the context from past customer calls, creating 1:1 website/ads, handing everything off to sales when it’s time to meet them.
• Forget spammy MarTech noise (Salesforce, generic AI startups churning out outreach).
• Mutiny has created a unique experience-data flywheel: plugs into the company’s CRM, website, internal tools and uses AI agents to uncover everything about an account, then turns that data into 1:1 marketing and sales prep.  
• Mutiny slashes GTM costs 1000x and replaces BDR-driven grunt work with buyer-driven insights. 
• Buyers get a ChatGPT-like experience. Expert, hallucination-free, and rep-free.
• Sales and marketing get a unified platform to win revenue, not just pipeline.

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 $230,000-$300,000. Equity is determined based on level of experience.

These ranges may be modified in the future.

Contact

Theresa Skelly | 480.338.8284

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.