Role: Technical Program Manager

Role Overview

We are hiring a Technical Program Manager focused on AI data platforms, speech workflows, and scalable dataset production systems.

This role drives cross-functional execution across engineering, product, and data operations teams.

You will manage delivery of voice data pipelines, annotation systems, and QA automation programs

Key Responsibilities

• Design, implement and manage annotation/response‑generation pipelines for Speech/Voice systems & tooling.
• Human‑in‑the‑loop (HITL) annotation: object detection, localisation, transcription, prompt and response generation.
• Set and track KPIs for pipeline performance: throughput, cost per unit, annotation accuracy, inter‑annotator agreement, revision rates, turnaround time, multilingual coverage.
• Scale operations: build out annotator networks (in‑house + global contractors), vendor relationships, training programmes for annotators, monitoring and escalation mechanisms
• Collaborate with engineering and data science teams to integrate annotation tools, APIs, dashboards, and automation into pipelines
• Drive process improvement and workflow automation for efficiency and cost optimization across domains
• Ensure data governance, quality, and compliance: maintain annotation standards, audit trails, and data security
• Manage stakeholder relationships with business/product leads and model teams to prioritise and deliver high‑impact annotation projects

Requirements

• Bachelor’s/Master’s degree in engineering or a related field.
• 2–7 years of experience in AI/Data annotation/training pipelines, with at least 2 years focused on GenAI operations.
• Strong understanding of GenAI ecosystems: large‑language models, multimodal data pipelines, annotation and model evaluation workflows
• Experience scaling annotation and evaluation operations: managing global annotator networks, setting metrics, optimising cost, quality, and throughput
• Excellent stakeholder management skills: collaboration with product, engineering, and data science teams
• Strong analytical and process improvement mindset; comfort with KPIs and data‑driven decision making.
• Experience in workflow automation and tooling integration (dashboards, APIs, annotation tools)
• Excellent communication skills; ability to train, mentor, and manage global teams
• Exposure to regulated domains (healthcare, legal) or multilingual/multicultural annotator networks is a plus

What We Offer

• Opportunity to work at the cutting‑edge of GenAI training and evaluation for multimodal AI systems.
• Opportunity to directly work with global AI clients and related travel.
• Competitive salary + performance incentives.
• Fast tracked career growth in a rapidly expanding business within KGeN.