Turnitin

About the Company

Turnitin is a global company dedicated to ensuring the integrity of education and meaningfully improving learning outcomes. For 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Turnitin products are used by educational institutions and certification and licensing programs to uphold integrity and increase learning performance, and by students and professionals to do their best, original work.

Turnitin has offices in Australia, Germany, India, Japan, South Korea, Mexico, the Netherlands, Sweden, The United Arab Emirates, the United Kingdom, and the United States. Over 16,000 academic institutions, publishers, and corporations use Turnitin services: Gradescope by Turnitin, iThenticate, Turnitin Feedback Studio, Turnitin Originality, Turnitin Similarity, ExamSoft by Turnitin, ProctorExam, and Ouriginal.

Listed Jobs

Company Name

Turnitin

Job Title

Product Manager (UK Remote)

Job Description

**Product Manager** **Role Summary** Integral to the product development lifecycle for Integrity products, requiring collaboration with engineering, operations, and marketing teams across a shared services model to ensure interoperability and alignment. **Expectations** Balance cost and impact during feature planning; manage cross-functional dependencies, stakeholders, and technical priorities to deliver strategic product roadmaps. **Key Responsibilities** Partner with engineering to define product requirements; lead implementation and stakeholder communication. Manage backlogs, epics, and user stories through business analysis. Mitigate risks, resolve obstacles, and align teams with product vision. Translate high-level strategy into actionable deliverables. **Required Skills** 3+ years in product management or similar roles (Business Analyst/Product Owner). Demonstrated technical understanding, analytical/quantitative skills, data-driven decision-making. Proven Agile product ownership, JIRA/backlog management, communication, and cross-team collaboration capabilities. **Required Education & Certifications** No specific education requirements. Preferred: CSPO or equivalent certification (not mandatory).

United kingdom

Remote

Junior

16-12-2025

Company Name

Turnitin

Job Title

Regional Marketing Specialist (UK Remote)

Job Description

**Job title** Regional Marketing Specialist **Role Summary** Execute integrated marketing initiatives that drive customer engagement, retention, and revenue growth across the United Kingdom, Ireland, Australia, New Zealand, and Hong Kong for a portfolio of higher‑education integrity and assessment solutions. **Expactations** - Deliver measurable MQL, conversion and engagement KPIs aligned with regional and global objectives. - Maintain high‑quality, brand‑consistent campaign execution across two culturally distinct regions while collaborating across time zones. - Build effective sales‑marketing lead hand‑off processes and provide tactical support to sales teams. - Produce regular performance dashboards and actionable insights for senior leadership. - Ensure vendor and budget compliance for all regional marketing activities. **Key Responsibilities** - Conduct market intelligence, competitive analysis, and customer feedback collection to inform campaign strategies. - Create localized campaign briefs, quarterly and annual marketing plans tied to global priorities. - Activate demand‑generation campaigns (digital and offline) using global toolkits and marketing automation platforms. - Coordinate webinars, in‑person events, and third‑party sponsorships, managing content, localization, and logistics. - Localize emails, landing pages, and other campaign assets for linguistic and cultural relevance. - Collaborate with UK/I and ANZHK sales teams to tailor campaigns, maintain lead hand‑off, and support timely follow‑up. - Manage vendor relationships for content creation, research, and design; track expenses and process invoices. - Track and report on MQLs, lead conversion, engagement metrics, and overall campaign performance. - Identify and elevate customer success stories and advocacy opportunities; support case study development. **Required Skills** - Strong hands‑on marketing execution in B2B higher‑education sectors. - Proficiency with marketing automation (e.g., HubSpot, Pardot), digital analytics, and campaign management tools. - Excellent written and oral communication, content localization, and copy‑editing abilities. - Event coordination and project management skills. - Analytical mindset for KPI tracking, reporting, and data‑driven optimization. - Ability to manage multiple priorities across UK and Australian time zones, requiring flexibility and disciplined time management. **Required Education & Certifications** - Bachelor’s degree in Marketing, Business, Communications, or related field. - Minimum 3 years of integrated marketing experience, preferably in higher‑education or SaaS B2B environment. - Marketing certifications (e.g., HubSpot Marketing, Google Analytics, or equivalent) are highly desirable.

Birmingham, United kingdom

Remote

09-01-2026

Company Name

Turnitin

Job Title

Sr. AI Data Engineer (UK Remote)

Job Description

Job Title: Sr. AI Data Engineer Role Summary Design, build, and operate scalable, real‑time data pipelines that feed Applied AI model training and deployment cycles. Own the AI data infrastructure, from ingestion and normalisation to storage and retrieval, ensuring high‑quality datasets for LLM fine‑tuning, RAG systems, and other AI workloads. Collaborate with AI R&D, product, and data platform teams to align data strategy with business goals and continuously improve tooling, automation, and performance. Expactations * Minimum 4 years’ experience in data engineering focused on AI/ML pipeline development. * Proficient in Python, SQL, Infrastructure as Code (Terraform / CloudFormation), and orchestration tools (Airflow, Prefect, or dbt). * Hands‑on with cloud data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, Chroma). * Experience with MLOps stacks (SageMaker, Vertex AI, HuggingFace), experiment tracking (MLflow, Weights & Biases), and model deployment pipelines. * Working knowledge of Large‑Language‑Model workflows: embedding generation, retrieval‑augmented generation, and LLM orchestration frameworks (LangChain, LangFuse, LiteLLM, LlamaIndex). * Strong analytical, problem‑solving, and communication skills, with the ability to translate technical concepts to cross‑functional stakeholders. Desired (not required) * 6+ years data‑engineering experience in AI/ML contexts, including technical leadership or mentorship. * Background in education or EdTech sectors. * Familiarity with AI coding assistants (GitHub Copilot, Claude) and data visualisation tools (Streamlit). * Additional knowledge in NLP, CV, multimodal AI, or advanced analytics. Key Responsibilities * Architect and maintain scalable real‑time data pipelines for AI model training and inference. * Collect, normalise, and persist data from diverse sources, including external LLM providers. * Deploy and manage robust data infrastructure, ensuring reliability, security, and cost efficiency. * Partner with AI R&D, Applied AI, and Data Platform teams to ensure data quality, accessibility, and compliance with standards. * Support exploratory data initiatives that uncover insights to improve AI algorithms and business outcomes. * Communicate architecture decisions, status updates, and innovation opportunities across teams. * Evaluate emerging tools and methodologies; recommend improvements to AI data workflows and stack. Required Skills * Python, SQL, IaC (Terraform, CloudFormation). * Orchestration: Airflow, Prefect, or dbt. * Cloud platforms: AWS, Azure, GCP. * Vector database systems: Pinecone, Weaviate, Qdrant, Chroma. * MLOps: SageMaker, Vertex AI, HuggingFace, MLflow, Weights & Biases. * LLM technologies: embedding generation, RAG, LangChain, LiteLLM, LangFuse, LlamaIndex. * Strong problem‑solving, analytical, and written/written communication. Required Education & Certifications * Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (preferred). * Optional certifications: AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, Azure Data Engineer Associate, or relevant MLOps certifications.

Newcastle upon tyne, United kingdom

Remote

Mid level

30-01-2026