Associate Product Manager - AI First
Eulerity
| Company | Eulerity |
| Category | Uncategorised |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 4 Jun 2026 |
| Last verified | 5 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Why This Role Exists
Eulerity is an AI-native marketing automation platform — not a legacy tool with AI bolted on. We serve enterprise brands like Mastercard, UPS Store, Uber Eats, and European Wax Center, automating digital advertising across thousands of franchise locations. We've crossed $10M ARR, largely bootstrapped, and we're accelerating.
We're not looking for someone who "uses AI tools." We're looking for someone who thinks in systems, ships fast, and treats AI as the primary interface between product ideas and execution. You'll be the closest intellectual partner to our Head of Product — expected to challenge, synthesize, and build, not just take notes.
If you've built projects from scratch, obsessed over product decisions at 2 AM, and know the difference between a great prompt and a great system — read on.
The Fast Facts
Salary: $100,000 – $130,000
Location: NYC Midtown — 3–4 days/week in office
AI Tools Budget: Unlimited. Use what makes you sharp.
What You'll Actually Do
This is a high-ownership role. You'll be in the room where product decisions get made, and your voice will matter from day one.
Partner directly with the Head of Product on roadmap definition, feature prioritization, and strategic positioning — acting as a real thought partner, not a note-taker
Use AI tools to 10x your throughput: generate user stories, synthesize customer feedback, draft specs, prototype concepts, and accelerate research that would otherwise take days
Own a product area end-to-end, including an embedded/SDK surface, from discovery through engineering handoff to post-launch measurement and developer adoption
Run structured experiments: define hypotheses, instrument analytics, read results, and make recommendations
Translate complex technical discussions into clear requirements that engineers actually want to build from
Conduct sharp competitive analysis and market research — and bring the so-what, not just the what
Lead sprint ceremonies (standups, planning, retros) with the energy of someone who genuinely cares about shipping
Stay fluent in what's happening in AI and marketing tech — and actively bring new ideas into the team's thinking
Who You Are
We're looking for a rare combination: technically solid, creatively ambitious, and energized by moving fast in a small team.
Non-Negotiables
You are genuinely AI-native — you build with AI, you reason with AI, and all your workflows are built around it
You've shipped something real: a side project, a capstone, an app, a tool — something you took from idea to existence
You're a fast, clear communicator — written, verbal, and in a whiteboard session
You are based in NYC (or the tri-state area) and can commit to 3–4 days in Midtown
Bachelor's degree in Computer Science, Engineering, Product Design, or a related technical field
Big Differentiators
Experience with LLMs, AI agent frameworks, or AI-assisted product development (you've actually used these, not just read about them)
Comfort reading code, querying data, and debugging — you don't need to write production code, but you can hold your own and then some in a technical conversation
Background in SaaS business models
You've worked in a startup or high-velocity environment where ambiguity was the norm and you thrived
Strong product intuition — you can identify when something feels off before the data confirms it
Experience shipping or working on an SDK or developer-facing product is a plus
What Makes Eulerity Different
We are not a company that talks about AI. We are a company that runs on it.
Our platform uses cross-learning AI agents that optimize across thousands of advertiser accounts simultaneously — not just one
We have deep integration moats built over years with Google, Meta, Apple, and Microsoft — a barrier competitors can't replicate