Full Stack Engineer
Product and platform engineering at a fast-growing creative intelligence company that helps consumer brands scale paid advertising. You own projects from code through infrastructure and work directly with leadership to define the roadmap. There are no product managers and no tickets handed down, and you sit close enough to the operators using what you build to decide yourself whether the answer is a platform feature or a one-off automation.
The company is building the creative intelligence layer for paid advertising, pairing an in-house creative pod with a proprietary statistical testing engine that instruments every ad it ships. That engine builds a living map of what works for each brand, why it works, and how to make more of it. It is first and foremost a tech-enabled service, deploying proprietary technology and service in tandem to drive client outcomes, in a market where audience-focused marketing analytics products are going obsolete as platforms move to a content-first philosophy. The product surface spans three things: the statistical testing engine, which tests creative roughly 30 percent more efficiently than manual testing; an AI-powered Slack assistant that keeps teams connected to their marketing metrics in real time; and custom reporting, dashboards, and media buying automation built for specific client workflows. The platform began as an AI agent for querying ad accounts and grew into a full creative operating system. Agents are built throughout it and it is accessible via MCP. This is an AI-native product, not a product with AI bolted on. Roughly 80 percent of the role is product and platform development, and the remaining 20 percent is custom tooling for specific customers. The two feed each other: the bespoke thing you build for one client often becomes the next generalized platform feature, and the patterns you notice across accounts become the roadmap. Strategists, creators, media buyers, and growth leads are your internal customers, and you will be in the room when one of them hits a workflow ceiling.
What you'll own
- Core platform and product features end to end, from the data layer through the interface
- The technical lifecycle for client deployments: onboarding, ad account integrations across Meta, TikTok, and Google, data reconciliation, custom dashboards, and the tooling that closes the gap between platform APIs and how operators actually want to work
- The call on whether a problem is structural and belongs in the platform, or is one client's problem and should be solved bespoke
- Agent-based workflows and LLM-powered tooling across the product
- Working directly with the internal team and with clients to understand what needs building, rather than waiting for a spec
- Your own sequence against the direction leadership sets, with the judgment to defend why the thing you shipped this week mattered more than the thing you did not
What we're looking for
Someone who has shipped something real, operates autonomously, and can talk to non-technical operators without losing precision.
- 3+ years building software, though what you have built matters considerably more than the number
- A product with actual users or clients behind it, not just side projects seen by friends. You know the software patterns and you know what breaks in production
- Strong fundamentals, whether picked up through formal education or by building with them in mind from the start. What matters is understanding how and why things break
- Fluent in TypeScript and Node, comfortable building complex backends and modern React and Next.js frontends that handle dense data visualization
- Hands-on with LLM APIs such as OpenAI, Anthropic, or Gemini at the application layer, including chat interfaces and classifiers
- High ownership. You have set up production systems before and are comfortable building and deploying from scratch
- An entrepreneurial streak: prior founding experience, meaningful side projects, or technical leadership somewhere. You have done things outside a job description
- Comfortable with ambiguity. Client environments differ, specs are incomplete, and you move forward anyway
Also valuable
- Experience in paid social, advertising technology, ecommerce, or creative tooling. Familiarity with the problem space matters because engineering here carries high ownership over what gets built
- Background at an ad tech or ecommerce SaaS company building adjacent tools
- Experience building agents or AI-native products rather than consuming AI features
Logistics
- New York City, in office four days per week
- Travel is light and mostly NYC local, with occasional visits to client offices
- Candidates must be authorized to work in the United States without employer sponsorship, now or in the future. Visa sponsorship is not available for this role
Compensation
Competitive base salary plus meaningful equity, commensurate with level, on a four year vest with a one year cliff. Company paid health, dental, and vision insurance, commuter benefit, and annual team offsites.