Lead Program Manager (AI)

TL;DR

Lead Program Manager (AI): Leading a program of AI training data projects at scale, owning program-level strategy and delivery, and managing a cross-functional team with an accent on AI model training and data quality. Focus on client relationship management, ensuring policy adherence for data handling, and driving continuous improvement across high-volume operations.

Location: Remote (United States)

Salary: $150K to $160K

Company

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.

What you will do

• Define program goals, roadmap, milestones, and operating model across multiple projects and vendors.
• Lead a delivery team (PMs, Coordinators) with clear goals, capacity plans, coaching, and performance feedback.
• Act as the day-to-day executive contact; run governance, planning, and QBR-style reviews; align scope, priorities, and change.
• Co-own quality outcomes with the Manager of Quality; align on guidelines, audits, acceptance criteria, and corrective actions.
• Build and manage budgets, margins, and change orders; ensure commercial and delivery commitments stay aligned.
• Coordinate with Sales/Account, Quality, Operations, and Vendor Management to meet client and business goals.

Requirements

• Bachelor’s degree or equivalent experience in business, operations, data/engineering, or a related field.
• Program planning and portfolio governance across multiple projects.
• Team leadership: goal setting, coaching, delegation, and performance feedback.
• Strong communication with senior client stakeholders and internal leaders.
• Solid use of spreadsheets, PM/task boards, and BI dashboards; familiarity with SQL/ETL concepts is a plus.
• Comfortable working with global, distributed teams (English: advanced).

Culture & Benefits

• Practical, applied AI expertise to projects.
• Strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices.