Technical Project Manager

LILT AI
United States
Workplace: RemoteFull timeFunction: Program & Project Management (PMO)Experience: 3+ yearsSkills: ["Communication","Stakeholder management","Root-cause analysis","Project planning","Risk management"]

Lead large-scale multilingual data collection and human-in-the-loop evaluation initiatives for Applied AI. Translate technical AI requirements into structured data specifications, evaluation plans, and acceptance criteria, coordinating timelines, risks, and blockers across AI specialists, engineering, SMEs, and operations. Partner on data workflows and hybrid evaluation pipelines, using SQL and business intelligence to monitor quality, throughput, and unit economics, while driving stakeholder alignment and delivery validation.

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FursaFursa
LILT AI
LILT AI
1 day ago

Technical Project Manager

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Last checked: 3 hours agoStatus: Live

Job Summary

Lead large-scale multilingual data collection and human-in-the-loop evaluation initiatives for Applied AI. Translate technical AI requirements into structured data specifications, evaluation plans, and acceptance criteria, coordinating timelines, risks, and blockers across AI specialists, engineering, SMEs, and operations. Partner on data workflows and hybrid evaluation pipelines, using SQL and business intelligence to monitor quality, throughput, and unit economics, while driving stakeholder alignment and delivery validation.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Mid level

Key Responsibilities

  • •Manage Applied AI data collection and evaluation projects from technical scoping through validation, delivery, and retrospective review.
  • •Translate technical AI requirements into structured data specifications, annotation requirements, evaluation plans, and acceptance criteria.
  • •Manage timelines, throughput velocity, dependencies, delivery risks, and technical blockers across Applied AI, engineering, and operations stakeholders.
  • •Partner with engineering to define and validate data workflows, including ingestion, annotation tooling, systems integrations, quality checks, and delivery.
  • •Operationalize hybrid evaluation methodologies combining human review with automated evaluation tooling and LLM-as-a-judge frameworks.

Key Requirements

  • •3–5+ years of technical project management experience in AI/ML, data platforms, or technical data operations.
  • •Strong understanding of LLM training and evaluation, including SFT, RLHF, human evaluation, automated evaluations, LLM-as-a-judge, and red teaming.
  • •Proficiency in SQL for analyzing delivery velocity, data quality metrics, and cost structures.
  • •Working knowledge of data pipelines, structured data formats, APIs, and validation processes.
  • •Experience using Agile, Scrum, or Kanban to manage complex workflows.
Experience:3+ yearsAI/MLData platformsTechnical data operationsLLM evaluation
Skills:CommunicationStakeholder managementRoot-cause analysisProject planningRisk management
Tech Stack:SQLPythonJiraAgileScrumKanbanLLM-as-a-judgeRLHFSFTRed teaming

Company Brief

LILT AI
Provides an AI-powered enterprise translation and localization platform combining machine translation, adaptive learning, automation workflows, and human verification to help organizations create and manage multilingual content at scale.
Industry: SaaS
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 3.9
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