AI Specialist Revenue Operations (Philippines Remote)

Turnitin

6d•Remote

About The Position

The AI Specialist, Revenue Operations is responsible for building and running the AI workloads that support the global revenue organization. Revenue Operations is establishing an AI orchestration platform alongside a set of AI agents and automations that change how commercial teams work, and this role is the first dedicated build resource within it. The primary focus is twofold. The role develops automations and agent features against a defined specification, and it owns the operational work that keeps live AI systems healthy and measurably effective: evaluation, knowledge curation, monitoring and first-line diagnosis. Technical direction and platform architecture are set by the Senior Director, Revenue Enablement & AI Transformation. This role also assists in establishing the working practices that Revenue Operations will follow. The standards this role helps set around documentation, evaluation and production readiness will determine how quickly our AI platforms can scale, and how much of the technical work can be safely devolved over time. Core areas of impact include: Workload Development: Building AI agents, automations and integrations against a defined specification. Quality Evaluation: Establishing and running the evaluation that evidences AI agent performance. Knowledge Curation: Maintaining the knowledge bases and data that grounded AI agents depend on. Operational Support: Monitoring live AI workloads and owning first-line diagnosis of failures. Production Readiness: Supporting the movement of AI workloads through technical and security review into production.

Requirements

Demonstrated ability to build working software with AI tooling, evidenced by delivered work rather than formal training alone.
Strong diagnostic instinct and the persistence to establish why a system behaved as it did.
Comfortable working to a defined technical direction while taking full ownership of implementation.
Surfaces ambiguity in a specification rather than proceeding on assumption.
Data-driven approach to quality, focused on measurement rather than assertion.
Disciplined about documentation, with an understanding of why it matters to a small technical team.
Highly organized with an action-oriented mindset and strong written communication skills.
Hands-on experience building with large language model APIs, including prompt engineering and retrieval or knowledge base systems. Self-directed and personal project work is considered.
Working knowledge of Python or JavaScript, sufficient to read, modify and extend an existing codebase confidently.
Practical experience integrating with REST APIs, including authentication and handling failure conditions in systems outside the developer's control.
Working knowledge of SQL and relational data structures.
Excellent written communication, particularly in documenting technical findings for a mixed audience.
Legal eligibility for authorized employment within the Philippines (PH) region.
Fluent in verbal and written English.
Educated to degree level in a technical discipline or equivalent demonstrable experience.

Nice To Haves

Experience with a workflow automation or orchestration platform such as n8n, Make or Zapier.
Technical exposure to a CRM or sales engagement platform, such as Salesforce or HubSpot.
Experience in software testing, quality assurance or the 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 the EdTech sector.
Candidates with a portfolio of self-taught, built work are encouraged to apply.

Responsibilities

Builds automations and AI agent features against a written specification and within the platform's established patterns, including prompt development, retrieval and knowledge grounding.
Authors and runs evaluation test cases for AI workloads, extends coverage as those workloads change, and produces the reporting that evidences whether agent performance is improving.
Curates and maintains the knowledge bases, content and data that grounded AI agents depend on, and prepares and transforms data for agent consumption.
Monitors live AI workloads, owns first-line investigation of failures, resolves issues within scope, and escalates the remainder with a clear technical diagnosis.
Builds and maintains integrations with Revenue Operations systems through APIs and workflow orchestration tooling, with due attention to authentication, error handling and access control.
Supports the movement of AI workloads into production by assembling technical documentation, completing security and access reviews, and preparing release and rollback notes.
Maintains accurate documentation for all AI workloads, and documents reusable patterns so that each successive build is faster to deliver than the last.
Contributes to the ongoing development of an AI orchestration platform under the technical direction of the Senior Director, Revenue Enablement & AI Transformation.
Explains the behavior and limitations of AI workloads clearly to non-technical colleagues across Revenue Operations, Sales Enablement and the wider revenue organization.
Gathers feedback from users of live AI workloads and applies it to improve agent quality and reliability.

Benefits

Remote First Culture
Health Care Coverage
Education Reimbursement
Competitive Paid Time Off
Self-Care Days
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