Overview
Turnitin is a global education technology company focused on integrity, learning outcomes, and fairness. We partner with educational institutions to promote honesty, consistency, and fairness across subject areas and assessment types. We offer a remote-centric culture and a comprehensive package prioritizing well-being. Turnitin operates with teams in over 35 countries.
Job Description
AI and data science are integral to our success and ambitious product roadmap. Joining us as an AI Data Engineering Manager means becoming part of a global team committed to delivering sophisticated, well-structured AI and data systems. You will help pioneer our next generation data and AI pipelines to scale our impact, collaborating with various teams to integrate AI and data science across products that enhance learning, teaching, and academic integrity.
Responsibilities
- Leadership: Build and grow a team of AI data engineers, ensuring their growth and high performance.
- Strategy: Advise senior leadership on leveraging AI-driven data engineering to create future-ready data and AI strategies.
- Communication: Ensure clarity of the company vision and mission across the team and foster excellent internal communication.
- AI Data Engineering: Design, build, operate and deploy real-time data pipelines at scale using AI methods and best practices. Apply cutting-edge data warehousing, data science and data engineering technologies to accelerate Turnitin\'s AI R&D efforts. Identify strategic unlocks such as LLM agents to enable faster time-to-market and better reusability of AI initiatives.
- Collaboration: Partner cross-functionally with AI R&D, Applied AI, Data Platform teams to collect, create, curate and catalog high-quality AI datasets. Align data architecture and models across products and platforms.
- Hands-on Involvement: Engage in data engineering and data science tasks as required to support the team. Lead external data collection efforts, including advanced prompt engineering techniques, to support state-of-the-art AI models.
- Innovation: Drive data innovation through research and development to extract insights from Turnitin\'s data resources.
- Continuous Learning: Stay updated on new tools and development strategies and bring innovation recommendations to leadership.
Qualifications
Required Qualifications:
- At least 5 years of experience in data engineering and data science, ideally focused on enabling and accelerating AI R&D.
- At least 2 years in a managerial or technical leadership role, overseeing large cross-functional projects.
- Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation), with experience in modern orchestration (Airflow, Prefect, or dbt).
- Proficiency with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, or Chroma).
- Experience with MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines.
- Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and frameworks for orchestrating LLM interaction (LiteLLM, LangFuse, LangChain, LlamaIndex).
- Strong problem-solving, analytical, and communication skills, with the ability to design scalable AI data systems and collaborate effectively in cross-functional teams.
Desired Qualifications:
- 7+ years of experience in data engineering and data science, focusing on AI and machine learning projects.
- 2+ years in a managerial or technical leadership role.
- Experience in education, EdTech, or academic integrity sectors.
- Experience using AI coding tools (Cursor, Claude Code, GitHub Copilot) for accelerated development.
- Familiarity with natural language processing, computer vision, or multimodal AI applications.
- Experience with data visualization (Streamlit) and data reporting.
Characteristics for Success
- A passion for creatively solving complex data problems.
- Ability to work collaboratively and cross-functionally with strong leadership skills.
- A growth mindset and commitment to continual learning.
- Proven track record of delivering results with high quality.
- Desire to mentor and grow high-potential contributors.
- Excellent written and verbal communication skills.
- Curiosity about problems, the field, and solutions.
- Strong system-level problem-solving skills.
Additional Information
Total Rewards @ Turnitin
Turnitin offers a Total Rewards package competitive within the local market, including flexible, remote-centric work and a comprehensive benefits program designed to support well-being and work-life balance.
Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.
Our Values underpin everything we do.
- Customer Centric - We place educators and learners at the center of our mission.
- Passion for Learning - We support ongoing learning and growth.
- Integrity - The heartbeat of Turnitin in all we do.
- Action & Ownership - A bias toward action and accountability.
- One Team - Collaboration across silos and celebrate successes.
- Global Mindset - Respect for local cultures and diverse perspectives.
Global Benefits
- Remote First Culture
- Health Care Coverage*
- Education Reimbursement*
- Competitive Paid Time Off
- 4 Self-Care Days per year
- National Holidays*
- 2 Founder Days + Juneteenth Observed
- Paid Volunteer Time*
- Charitable contribution match*
- Monthly Wellness or Home Office Reimbursement*
- Access to Modern Health (mental health platform)
- Parental Leave*
- Retirement Plan with match/contribution*
* varies by country
EEO Notice
Turnitin, LLC is committed to equal access to its programs, facilities and employment. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
