Founding Full Stack Engineer, Creator Services

The Opportunity

This position where we will develop and launch a new product within Adobe working within an exciting org that is incubating next-generation ideas. Build the next generation agentic AI platform working with a research scientist, designers, and a venture lead to bring the new product to life. This role is an outstanding opportunity to operate like a startup founding engineer while having the resources of an innovative, large Technology company. Join us for an opportunity to invent new technologies and power a brand-new product that serves emerging creators. The Challenge

We are looking for a Founding Full Stack Engineer to build Creator Services from the ground up. Creator Services is building AI-powered audience intelligence: given a content idea and creator context, predict whether it will resonate and surface the insights that help creators make smarter decisions. As Creator Services expands into brand deal discovery, negotiation, storefront management, and affiliate programs, the research agenda grows with it. A core part of the platform will be agentic AI systems that automate the complex tasks creators face running their businesses. You will build and operate multi-agent pipelines. You will transform model outputs into interactive creator workflows. This will connect Creator Services to creator platforms and data sources that make the intelligence real. Collaborate closely with the Research Lead and Product & UX Lead as a peer collaborator. Responsibilities

Product Build (Front-to-Back): Build the mobile-first creator app and micro-studio (front-end) and the services behind it (back-end/APIs), turning research and product vision into a live product creators use daily. Stack: React / React Native or Flutter on the front-end; Python and/or Node/TypeScript on the back-end. Develop and manage multi-agent pipelines and prediction serving. This includes cost-efficient inference, caching, and graceful degradation when model providers falter. Also, include eval instrumentation to catch regressions in production. Model Productionization: Collaborate closely alongside the lead researcher to transform model outputs into responsive, low-latency creator workflows. Support deployment of trainable model components alongside base model APIs (Azure OpenAI) on Colligo (Adobe's ML platform). Integrations: Build integrations with external creator platforms (YouTube, Instagram, TikTok via creator-authorized OAuth), Adobe's wider suite of creative tools (Express, Firefly, Adobe Creative Suite, IMS), Semrush, and internal Adobe services. Data Pipelines: Build the data pipelines that feed the audience intelligence, insight, and prediction engines — including the outcome-feedback loop that lets the system learn from real creator results. Architecture Ownership: Own architecture decisions as an early hire — from framework choices to data models to deployment pipelines Observability & Reliability: Contribute to monitoring, observability, and evaluation frameworks that ensure AI-driven features behave reliably and transparently for creators. What is needed to succeed

5+ years shipping full-stack products end-to-end (front-end + back-end + APIs) — startup or 0→1 experience strongly preferred. Proficiency in a modern back-end environment like Python or Node with TypeScript is required. Experience with a contemporary app/front-end stack such as React, React Native, or Flutter is also necessary. Mobile-first experience is a strong plus. Hands-on experience building with LLM APIs and agent frameworks; solid grasp of latency, cost, evals, and fallbacks in production — not just prototypes. Experience designing and building scalable APIs, backend services, and data pipelines from scratch. Comfort with cloud infra (Azure/AWS/GCP) and standing up services in a resource-constrained startup environment. Ability to move fast under ambiguity, own outcomes end-to-end, and work effectively in a small, flat team. A genuine interest in the creator economy and the tools creators use to build their businesses. Bonus

Experience with third-party social/platform APIs (YouTube Data API, Instagram Graph API, TikTok for Developers). Familiarity with the Adobe ecosystem — Firefly APIs, Adobe IMS, Creative Cloud integrations. Experience with recommender or ML-serving systems; Colligo or similar ML infrastructure. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

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Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email

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. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about

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. Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 - $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $208,300 - $301,600 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California

: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.