$180,000 – $200,000
Fully Remote (US East Coast preferred)
Full-Time / Permanent
A fast-growing AI language technology company is looking for a Senior Technical Program Manager to join their Applied AI team. They work with some of the world's largest organisations (including major government agencies and global enterprises) helping them translate and localise content at scale using cutting-edge AI.
This is a hands-on programme management role. You will be overseeing the delivery of large datasets and custom engineering projects that are used directly to train and improve frontier AI models.
Why Join
- Small, cross-functional teams where senior hires have real ownership over programmes end-to-end
- Backed by top-tier investors, this is a well-funded company with strong commercial traction
- Competitive base, equity, and benefits
- Work that sits at the frontier of AI development, your programmes directly influence the next generation of large language models
The Role
- You will lead the delivery of complex technical programmes for major AI research partners. In practice, this means managing the pipelines that produce large volumes of high-quality training data - across text, audio, video, and image - and making sure that data reaches research teams accurately and on time.
- You will also oversee bespoke engineering workstreams, things like: retrieval-augmented generation (RAG) improvements, model evaluation projects, and synthetic data generation. You are the main point of contact for the AI researchers and engineers you work with, and you will translate their research needs into clear delivery plans.
- This is not a scrum master role. You need to understand what engineers are building and why, well enough to spot problems, ask the right questions, and earn the trust of technical teams on both sides.
What We're Looking For
- Experience managing large-scale data delivery programmes, ideally for AI or machine learning teams
- A technical background. You don't need to write production code daily, but you should be comfortable reading it, reviewing it, and discussing it with engineers
- Hands-on knowledge of modern AI concepts: training data pipelines, model evaluation, retrieval systems (RAG), and human feedback loops (RLHF)
- Experience working with multiple data types - not just text, but also audio, video, or image datasets
- Strong stakeholder management skills at a senior level
- Ability to operate in a fast-moving environment where priorities can shift with the latest research developments
Useful but not essential:
- Proficiency in Python
- Familiarity with vector databases or agentic AI workflows
- Experience working directly with AI research labs or frontier model teams
- Multilingual background
What Success Looks Like
- Programmes delivered on time with clean, well-validated data
- Research partners feel well-supported and clearly communicated with
- Engineering workstreams run efficiently with minimal bottlenecks
- You spot quality issues before they reach the model
Tech / Domain Context
Data pipelines · Multimodal datasets · RAG architectures · RLHF/RLAIF · Vector databases · Cloud infrastructure · RESTful APIs · Model evaluation
