The current ad market sucks. At Polynomic, we’re reimagining performance marketing from the ground up. We believe that ads, in various new forms, will continue to be the primary business model of the internet and the backbone of growth in commerce. Yet performance marketing today is heavily dependent on outdated playbooks, guesswork, manual effort. We believe that brands shouldn’t have to throw spaghetti at the wall and hope to get lucky to find growth. We are at an inflection point with AI and have a unique opportunity to make ads more efficient and profitable for brands through our agentic platform.
We are building autonomous, intelligent systems where brands can plug in and find the most profitable ways to grow their revenue through ads, instead of having to hire expensive agencies or spend countless hours optimizing ad campaigns.
Polynomic was founded by Madhav (ex Google Ads, Citadel, HBS, Harvard) and Nathan (ex Google Research, HBS, Stanford CS). Madhav launched a new AI ads product (0 -> $675M ARR) at Google, and Nathan launched Google’s first transformer model in production and launched key AI models powering Google Search Ads. Our team comes from Google, Jane Street, Citadel, Apple, and Amazon. We’re a well-funded seed stage startup backed by top VCs and angel investors and already have multiple high-growth consumer brands as paying customers.
Role:
As Founding Deployment Strategist, you act as the bridge between a customer's biggest performance marketing challenges and Polynomic’s technical solution. You will own the entire lifecycle of our engagement with customers.
What you'll do:
Lead customer success and deployments: oversee onboarding, implementation, and account health for key clients, stepping in directly when needed to ensure white-glove service
Advise customers on their ads and performance marketing strategy, help set them up for success before key brand moments, and give them context on how our AI systems are optimizing their ad accounts
Lean heavily on AI to automate and replace manual workflows wherever they slow you down
Champion a culture of customer obsession and operational excellence across the team
Fill gaps - do whatever it takes to help our customers succeed, even when it doesn't fit neatly into a job description
Preferred Experience:
Exceptional talent shows up in a lot of forms. You've demonstrated unusually strong ability and pace through your previous experience
You've worked in management consulting or in a high performance environment for at least 4 years. You have hands-on experience in ads and/or performance marketing
You are extremely organized, have a bias to action, and thrive in ambiguity
You are a great communicator, and show up as warm and competent in both writing and verbally
You have a quantitative aptitude, are very comfortable with SQL and analyzing data
You are AI-native, use AI to create leverage in your own workflows, and are very comfortable with data
You obsess over the details and care deeply about delivering value to customers
You care about the problem of running efficient digital ads and recognize their impact on global commerce
This is an in-person opportunity in New York.
Compensation:
$180k-$250k + above-market equity
401k with match, fully funded medical, dental, and vision insurance, comped office lunches
Relocation support to move to NYC
Skills Required
- At least 4 years of experience in management consulting or another high-performance environment
- Hands-on experience with advertising and/or performance marketing
- Exceptional ability and pace demonstrated through prior experience
- Highly organized with a bias to action and ability to thrive in ambiguity
- Strong written and verbal communication skills
- Quantitative aptitude and strong comfort with SQL and data analysis
- AI-native approach and ability to use AI to create workflow leverage
- Strong attention to detail and commitment to delivering customer value
- Interest in efficient digital advertising and its impact on global commerce
What We Do
We’re specialists in pre-seed and seed. The startups we back go far. Best-in-class founders do not come around every day. When they do, we jump at the opportunity to work together. Our approach is to work with just a small number of best-in-class founders so we can dig in and go deep.
