Manager I, Engineering - Core Analytics

You will lead a small, hands‑on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates the company’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self‑serve production‑ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day‑to‑day engineering leadership with long‑term platform planning. What You’ll Do: Lead a Hands‑On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, internal product analytics teams, product managers and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring and compliance guardrails to support safe model training and repeatable analytics workflows. Plan and Scale the Platform: Evolve storage, processing frameworks, API patterns and operational practices to enable broader adoption and prepare the platform for increased scope and usage. Who You Are: Hands‑On Engineering Manager: who enjoys managing a small team while remaining an active contributor to design and code. Experienced in Data Pipelines and At‑Scale Data Engineering: with practical experience building ETL/ELT, streaming and/or batch workflows, and production data servicing layers. Practical Knowledge of Our Core Stack: production experience with AWS, Spark, and Iceberg (or equivalent table formats and compute frameworks). Collaborative Partner to Data Scientists and Analysts: track record working with applied ML teams, data scientists and analytics consumers to operationalize data for model training and analysis. Operationally Strong: experience defining SLAs, building observability, running incident response and enforcing data governance in production systems. Pragmatic Architect and Deliverer: able to balance short‑term delivery with long‑term architecture and make tradeoffs that advance product and platform goals. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in‑house networking An inclusive company culture, ability to join community guilds Access to inclusion talks, internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with the company. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within the company; some roles may require candidates to be eligible for any required authorizations from the US government. Salary range: $187,000–$240,000 USD for this role. Equal Opportunity and Legal Notices: The company is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. The company endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete the form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. #J-18808-Ljbffr United States Digital Space LLC