Senior Associate Project Manager

Job Requirements

• 3–5 years managing technical projects or operations in data, AI, or software domains
• Hands-on experience with Agile/Scrum or Kanban workflows (JIRA, Asana, Linear, or similar)
• Proven record delivering projects with distributed or remote‑first teams
• Comfort translating between technical and non‑technical stakeholders
• Project‑management excellence: scoping, scheduling, risk management, and stakeholder communication
• Lightweight scripting: Python or similar for automation, data manipulation, and report generation
• SQL & dashboards: query data warehouses and build KPI views
• Tool savvy: familiarity with annotation platforms (Label Studio, Labelbox) and cloud services (AWS/GCP/Azure)

Responsibilities

• Own end‑to‑end execution—from scoping and task‑template creation through annotation, model‑pipeline setup, QA, and deployment hand‑off
• Coordinate cross‑functional teams: engineers, annotators, data scientists, GTM leads, and client stakeholders
• Build & automate workflows: create Asana projects; script Python / SQL jobs for metrics and QC checks
• Track & report KPIs: timelines, throughput, quality, margin, and resource utilization—dashboards in Looker, Power BI, or Streamlit
• Drive continuous improvement: identify bottlenecks, run retros, and implement SOP updates that scale to the next project
• Maintain artifacts: SOWs, RACI charts, risk registers, and knowledge‑base pages that keep the team aligned
• Front‑row seat: Work with cutting‑edge AI teams solving safety challenges most companies haven’t faced yet
• Variety & velocity: Juggle multiple high‑impact projects, each with unique data and model workflows
• Growth runway: Define best‑practice operations for a scaling business and step into senior‑program‑manager or operations‑lead roles
• Mission first: Help ensure AI systems are safe, fair, and effective—in partnership with world‑class researchers and engineers