SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Turnitin is seeking an AI Specialist for Revenue Operations to build and operate AI workloads that support the global revenue organization. This is the first dedicated build resource within a newly established AI orchestration platform that will transform how commercial teams work.
The role has two primary focuses: (1) developing automations and AI agent features against defined specifications, and (2) owning operational work to keep live AI systems healthy and measurably effective through evaluation, knowledge curation, monitoring, and diagnosis.
Key responsibilities include:
- Building AI agents, automations, and integrations against written specifications, including prompt development and knowledge grounding
- Authoring and running evaluation test cases for AI workloads, extending coverage as workloads evolve, and producing performance reporting
- Curating and maintaining knowledge bases, content, and data that ground AI agents; preparing and transforming data for agent consumption
- Monitoring live AI workloads, investigating failures, resolving issues within scope, and escalating with clear technical diagnosis
- Building and maintaining integrations with Revenue Operations systems through APIs and workflow orchestration tooling
- Supporting movement of AI workloads into production through technical documentation, security reviews, and release preparation
- Maintaining accurate documentation for all AI workloads and documenting reusable patterns
- Contributing to ongoing development of the AI orchestration platform under the technical direction of the Senior Director, Revenue Enablement & AI Transformation
- Communicating AI workload behavior and limitations clearly to non-technical colleagues across the revenue organization
- Gathering user feedback and applying it to improve agent quality and reliability
Turnitin is a 25+ year-old EdTech leader serving over 16,000 academic institutions globally with learning integrity solutions. The company operates a remote-first culture across 35+ countries and is committed to education, integrity, and collaborative teamwork.
REQUIREMENTS:
Essential:
- Hands-on experience building with large language model APIs, including prompt engineering and retrieval or knowledge base systems (self-directed and personal project work counts)
- Working knowledge of Python or JavaScript, sufficient to read, modify, and extend existing codebases confidently
- Practical experience integrating with REST APIs, including authentication and handling failure conditions in external systems
- Working knowledge of SQL and relational data structures
- Excellent written communication, particularly in documenting technical findings for mixed audiences
- Legal eligibility for authorized employment within India
- Fluent in verbal and written English
- Degree-level education in a technical discipline or equivalent demonstrable experience (portfolio of self-taught, built work encouraged)
Preferred:
- Experience with workflow automation or orchestration platforms (n8n, Make, Zapier)
- Technical exposure to CRM or sales engagement platforms (Salesforce, HubSpot)
- Experience in software testing, quality assurance, or evaluation of AI systems
- Experience in technical support, troubleshooting, or incident diagnosis
- Experience with knowledge management, content curation, or technical documentation
- Familiarity with cloud infrastructure, particularly AWS
- Experience with conversational or voice AI platforms
- Knowledge and experience working within EdTech sector
Proven characteristics for success:
- Demonstrated ability to build working software with AI tooling, evidenced by delivered work
- Strong diagnostic instinct and persistence in establishing why systems behaved as they did
- Comfortable working to defined technical direction while taking full ownership of implementation
- Surfaces ambiguity in specifications rather than proceeding on assumption
- Data-driven approach to quality, focused on measurement
- Disciplined about documentation with understanding of its importance to small technical teams
- Highly organized with action-oriented mindset and strong written communication
