Senior Fullstack Engineer

Job Title

Internal Analytics And Model Operations Platform Lead

Job Description

About the Role

We are building an internal analytics and model operations platform that lets business and analytics users configure machine learning pipelines, trigger long-running data jobs, monitor execution, and explore results in rich visual reports. The stack pairs a modern web front end with a Python API service, a relational database, and cloud data platforms where models and pipelines run. This role leads delivery across the entire stack: user-facing flows, API contracts, job and report state management, and production hardening. You will work closely with data science, data engineering, and product to turn machine learning capabilities into reliable, intuitive experience.

Team Culture & Collaboration

You will build the application where analysts, business users and clients interact with and leverage machine learning models to drive real value and revenue. The work is full-stack, visible, and tied directly to client deliverables. The team brings together decades of experience in marketing and AdTech and are all motivated to develop the best platform to drive client growth and innovation. The group is genuinely excited to work on this platform, and there is a real opportunity to own the work and learn from other disciplines like data science, generative AI, marketing intelligence, audience intelligence, machine learning engineering, and more.

Responsibilities

User Interface & Experience

• Design and build modern web applications for model configuration, job submission, and report exploration
• Translate data science and analytics pipelines into clear, validated user flows (builders, wizards, configuration panels)
• Implement dashboards, selection forms, and report visualizations (charts, flow diagrams, maps, comparison views)
• Own form validation, cascading field behavior, and error states so users cannot submit jobs that will predictably fail
• Ensure usability, responsiveness, and consistent patterns across different model and report types

Backend APIs & Data Contracts

• Extend Python API services with REST endpoints that expose curated data to the UI (dimension tables, report payloads, run configuration, exports)
• Design JSON APIs that support efficient front-end consumption (filter metadata, report access by run identifier, enriched job status)
• Collaborate on job orchestration flows: submission, execution logging, polling, callbacks, and navigation from run to report

Application State, Performance and Reliability

• Manage client-side state and server synchronization for long-running jobs (in-progress reports, polling, retry, empty-data cases)
• Establish and extend patterns for data fetching and caching to eliminate duplicate API calls and improve perceived performance
• Harden edge cases: handles cases for no-data reports, manage parent/child job relationships, encoded path parameters, multi-audience exports, production release stability

Platform Integration

• Integrate UI and APIs with orchestration layers, job metadata, ingested dimension tables, and report export pipelines
• Support agent or tool facing workflows where platform capabilities are exposed to downstream consumers via APIs
• Lead CI/CD for the application and support release cadence for front-end and back-end services

Cross-functional Collaboration

• Partner with data scientists to understand model parameters, defaults, and validation rules
• Partner with data engineering on pipeline contracts, preflight checks, and data sync behavior
• Break work into incremental deliverables (API first, then UI) and ship against product epics

Qualifications

• 6-8 years of building production internal or enterprise web applications
• Strong front-end skills: React, TypeScript, modern component patterns (e.g. Next.js App Router, utility-first CSS, accessible component libraries)
• Demonstrated back-end/API experience: Python and an async web framework (i.e. FastAPI or equivalent)
• Solid understanding of REST APIs, JSON contracts, and client/server error handling
• Experience integrating UIs with backend job systems or long-running workflows (polling, status transitions, callbacks)
• Comfort reading SQL-shaped data models and collaborating on relational-database-backed APIs
• Ability to own features vertically (API + UI + release)
• Clear written and oral communication; experience working in Agile with data and engineering partners

Preferred Qualifications

• Experience with cloud data platforms: job APIs, SQL warehouses, catalog-backed dimension and report tables (i.e. AWS, Google Cloud, etc.)
• Familiarity with ML/analytics product surfaces: model cards, run configuration, report types, export/download flows
• Deep experience with server-state management, caching, and polling
• Data visualization: charting libraries, maps, or custom tooltip and axis work for analytics UIs
• Exposure to agent or tool API patterns on internal platforms
• Experience with cloud-hosted deploys (containers, load balancers, secrets management) and CI/CD
• Multi-tenant or client-context routing (e.g. request context → schema or catalog selection)
• Experience with Databricks (jobs, deployment, UC, Genie, etc.)

Additional Information

Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact View email address on click.appcast.io.

All your information will be kept confidential according to EEO guidelines.

Compensation Range: USD $112,290.00 - USD $179,712.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/12/2026.