About position

We’re seeking a AI Data Project Manager who will join our Delivery team and will build, drive and maintain our client’s solutions. Joining us in this role means you will lead a virtual cross-functional team managing successful project implementation. This involves both client communication and internal coordination.

The team consists of talented engineers of different kinds, supply managers and other departments on an ‘as needed’ basis. This is a key role for us to ensure we deliver the best possible experience for our clients and enable us to constantly grow our business.

Example Projects

• SFT (supervised fine tuning) data generation pipeline producing thousands of prompts and completions weekly across several languages and domains of knowledge;

• Evaluation pipeline helping to estimate LLMs’ responses quality and reaching a throughput of hundred thousands weekly;

• A red-teaming project helping to collect malicious prompts of different kinds to ensure models’ safety.

Key Responsibilities

• Take ultimate ownership for all delivery team projects, including data quality, delivery timelines, unit economics and overall transparency for stakeholders;

• Lead a cross-functional delivery team ensuring projects are on track, any issues and risks are highlighted and resolved proactively;

• Own operations of the delivery team: including internal and external communication, activities planning, posting summaries and status updates, conducting retros etc.;

• Drive and motivate the team, seek out change to increase the organization’s efficiency;

• Help roll out improvements to the delivery team focusing on increased adoption and providing feedback for further improvements.

Qualifications

• Experience leading technical cross-functional teams;

• Experience managing complex projects including discovery, decomposition, scope planning, implementation and adoption;

• Client facing experience;

• Being generally agile, able to switch quickly to new domains and subjects;

• Consulting, Tech, Military, Competitors background is a big plus;

• Good understanding of LLMs and their life cycle in particular;

• Experience in data generation;

• Experience and proactiveness in suggesting process changes is appreciated;

• Proven experience in the AI space, including working with clients and managing teams or projects at scale;

• PhD in a technical field is a strong plus.