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AI Data Operations Analyst

CompanyMomos
TypeOnsite

Description


About the Role:


As an AI Data Operations Analyst , you will be a pivotal team member in ensuring the highest levels of service for our users. You’ll be involved in the day-to-day operations of the Customer Operations team, managing our AI agent + Human in the loop processes, and working with the product & data team to train our agents in a timely & efficient manner . You’ll also play a critical role in managing AI assisted reviews for our customers on a daily basis and ensure timely resolution of the reviews while also working on automations to improve AI agentic behaviour

Key Responsibilities:


AI Data Operations Analyst

  • Execute and manage human + AI review moderation workflows for major brand partners, ensuring high quality, compliance with brand guidelines, and timely turnaround.
  • Managing AI assisted reviews for our customers on a daily basis and ensure timely resolution of the reviews
  • Validate and refine AI-generated data such as:
  • Issue classification
  • Output verification for agentic training
  • Perform data training, labeling, and validation tasks to support agent model retraining and brand-specific behavior tuning.
  • Develop, maintain, and document processes for gathering, managing, and applying brand guidelines into Momo’s AI system.
  • Support manual SFTP uploads of reviews and CDP data, pulling from FDP and other internal/external sources.

Data Automation & Advanced Operations

  • Build out processes and operate automations and scripts to streamline onboarding workflows, reducing reliance on engineering teams.
  • Map out SFTP and other data integration touchpoints, both internally and externally; recommend improvements for seamless data flow into Momo’s ecosystem.
  • Support partnerships-related onboarding/offboarding owning the operational processes end to end.
  • Provide analytics support for Strategic Ops, Customer Success, and Customer Operations teams. Examples:
  • Account health reporting
  • Operational insights dashboards
  • Data pulls and SQL query support
  • Collaborate with engineering and data teams to identify opportunities to optimize data pipelines, automate manual tasks, and improve operational efficiency.

Key Performance Indicators (KPIs):


  • Maintain best in class service quality for our agentic review system
  • Meet or exceed First Response Time targets.
  • Meet or exceed Resolution Times
  • Bring down AI assisted reviews error rate to <0.1%

Requirements


  • 1 to 2 years of overall experience in data operations/ customer support
  • Working knowledge of Excel, reporting tools or SQL or a bachelor's degree in data related fields
  • Strong operator mindset and a track record of tackling challenging scenarios ensuring the customer operations function works like a clockwork.
  • Proactive mindset, eager to learn, and committed to continuous professional development.
  • Excellent interpersonal skills, maintaining a positive demeanor and outstanding communication abilities.
  • Willing to work in US hours & APAC hours as needed
  • Passionate about working with customers and dedicated to exceeding their goals.

Benefits


  • Competitive salary and bonus scheme 
  • Private medical insurance 
  • Paid time off and flexible working culture 
  • Opportunities for rapid career advancement 
  • A dynamic and inclusive company culture 
  • Access to the latest technology and tools for personal development
  • Comprehensive onboarding program for new employees
  • Employee recognition programs for outstanding performance
  • Participation in industry conferences and events 
  • A supportive environment that encourages innovation and creativity

Cultural Values 


  • Mission-driven and fast-paced, entrepreneurial environment 
  • A collaborative and flat company culture 
  • Comprehensive private health insurance 
  • Discretionary trips to our offices across the globe, with global travel medical insurance (when it's safe to travel!) 
  • Cross-cultural team bonding/networking 
  • Love Food? Join our Team!

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