Intelliswift - An LTTS Company
Product Operations Specialist (Technical + LLM)
Unknownunknown
About the role
**Job Title:**
Product Operations Specialist (Technical \+ LLM)
**Location:**
Remote
**Duration:**
6 Months Contract on W2
We are seeking a Technical Product Operations Specialist to drive high\-impact initiatives at the intersection of AI, data, and product operations. This role offers the opportunity to work on cutting\-edge workflows involving
**LLM training, data quality, and AI\-driven automation**
, while partnering closely with product, engineering, and operations teams.
The ideal candidate brings a strong mix of
**technical depth and program management**
capability, with the ability to work independently and drive results with minimal supervision. You are a self\-starter and effective communicator, comfortable collaborating across global teams and navigating ambiguity. You thrive in fast\-paced environments and consistently deliver data\-driven, high\-quality outcomes
You will play a key role in influencing product outcomes through data\-driven insights, scalable solutions, and cross\-functional collaboration, while managing multiple initiatives in a fast\-paced, evolving environment.
**Required Qualifications:**
* 8\+ years of experience in program management, product operations, consulting, or strategy
* Expertise in
**SQL (CTEs, joins, aggregations, transformations)**
* Hands\-on experience with
**AI tools, AI\-assisted workflows, or prompt\-based systems**
* Advanced proficiency in Google Sheets / Excel (automation, complex analysis)
* Strong analytical thinking with ability to translate data into actionable insights
* Proven ability to manage multiple priorities in fast\-paced environments
* Excellent communication and stakeholder management skills
* Experience with data annotation/labeling or LLM\-related workflows
**Preferred Qualifications:**
* Experience with data visualization tools (Tableau, Looker, etc.)
* Familiarity with data pipelines, ETL, or data infrastructure concepts
* Exposure to low\-code/no\-code or AI\-assisted prototyping
* Experience working with engineering teams on technical requirements
* Background in QA, testing, or ML/AI validation workflows
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