Project Technical Project Manager

mpathic•Seattle preferred, WA

About The Position

mpathic is seeking a detail-oriented Technical Project Manager to support high-velocity AI safety, human data, and evaluation projects with leading AI companies. This role will help ensure that expert-led work is delivered on time, with strong quality controls, clear documentation, and consistent cross-functional communication. You will support clinical experts, red teamers, annotators, and reviewers working on sensitive AI safety initiatives, including roleplay campaigns, model behavior evaluation, policy testing, rubric-based review, and human data workflows. You will help onboard and support experts, manage assignments and timelines, monitor throughput, coordinate QA processes, and surface risks early so projects stay on track. This role is ideal for someone who enjoys connecting people, processes, and technology in a fast-moving AI safety environment. Strong candidates are proactive, reliable, highly organized, and comfortable balancing autonomy with timely escalation. You do not need to be a clinician or machine learning expert, but you should be comfortable working closely with clinical, research, operations, product, and technical teams. This job requires flexible hours to manage client project velocity. We highly value work/life balance and encourage all team members to work reasonable hours, but want to be up-front that the working hours can ebb and flow depending on active campaigns. You will support confidential initiatives involving AI safety protocols, mental health policy, red teaming, and large language model evaluation. Work may include coordinating roleplay design and review, supporting expert training, tracking project deliverables, helping implement QA workflows, identifying operational gaps, and contributing to documentation, rubrics, escalation processes, and final reporting. A strong commitment to safety, ethics, confidentiality, and execution quality is essential. This role sits on the Science team and partners closely with Human Data leadership, clinical experts, red team leadership, product, engineering, research, and operations.

Requirements

3 Years of Experience with Any of the Following: Project management, operations, program coordination, or delivery operations
Managing timelines, trackers, assignments, handoffs, and cross-functional communication
Supporting expert, contractor, reviewer, annotator, or vendor-based workflows
Coordinating human review, QA, annotation, trust and safety, research, or evaluation projects
Working in fast-moving environments where priorities shift and clear communication matters
Experience or interest in: AI safety, LLM evaluation, red teaming, human data operations, or trust and safety
Supporting structured workflows that require clear instructions, quality controls, and documentation
Working with clinical experts, researchers, policy teams, product teams, engineers, or QA reviewers
Helping teams balance speed, quality, cost, and client expectations
Reviewing sensitive or high-stakes content with professionalism and confidentiality
Using project management and collaboration tools such as Asana, Airtable, Notion, Trello, Slack, Google Workspace, Microsoft 365, or similar tools
Keeping complex work organized without needing every step spelled out
Turning ambiguous project needs into clear trackers, timelines, tasks, and next steps
Communicating clearly with both technical and non-technical stakeholders
Noticing when instructions are unclear, quality is drifting, or blockers need escalation
Staying calm, reliable, and detail-oriented in high-pressure delivery environments
Following through consistently and making sure nothing falls through the cracks

Responsibilities

Support Human Data Project Execution: This role operates in a fast-moving environment with overlapping client projects and tight delivery timelines. The ideal candidate is organized, proactive, and comfortable supporting execution across multiple workstreams while maintaining quality and clear communication.
Support AI safety and human data projects across roleplay, red teaming, annotation, evaluation, QA, and reporting workflows
Maintain project trackers, assignment boards, timelines, documentation, and status updates
Coordinate task assignments, deadlines, expert availability, and handoffs across project contributors
Monitor throughput and progress against delivery timelines
Surface blockers, risks, ambiguity, and quality concerns early
Help ensure that project instructions, SOPs, and expectations are clear and up to date
Support Quality & Reliability: Help implement QA workflows, sampling plans, calibration processes, and review checklists
Review project outputs for completeness, consistency, formatting, and adherence to instructions
Partner with clinical, QA, policy, or research leads when outputs require specialized judgment
Track recurring quality issues, reviewer questions, and workflow gaps
Help translate quality findings into clearer documentation, training examples, and process improvements
Support organized recordkeeping so project outputs are easy to review, audit, and report on
Coordinate Cross-Functional Work: Partner with the Senior TPM and peer Project TPMs on project execution, timelines, risks, and team coordination
Work closely with clinical experts, red teamers, reviewers, annotators, QA leads, product, engineering, and delivery teams
Help prepare project updates, QA summaries, client-facing inputs, and internal roll-ups
Support handoffs between Human Data, Clinical AI, Product, Engineering, Research, and Customer Delivery
Keep communication clear, timely, and appropriately detailed across fast-moving workstreams