Technical Project Manager

Posted Yesterday
Hiring Remotely in Redmond, WA, USA
In-Office or Remote
100K-110K Annually
Senior level
Artificial Intelligence
The Role
Lead end-to-end execution of onsite AI/ML and data collection projects. Define scope, plan resources, run Agile ceremonies, drive E2E QA, manage risks, and communicate status to stakeholders while ensuring data security and quality compliance.
Summary Generated by Built In

About Centific

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.

Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

About Job

Technical Project Manager – Centific Data Collections 

Role Summary: 

Centific is seeking a Technical Project Manager (TPM) to lead the execution of onsite data collection projects within the Quality & Engineering team. This role requires a strong technical foundation, excellent organizational skills, and the ability to manage cross-functional teams in a fast-paced, client-facing environment. The TPM will design and implement project data pipelines with quality embedded at every step. 

Key Responsibilities: 

  • Lead the full project lifecycle from initiation to closure for AI/ML, data collection, and software development projects. 
  • Define project scope, objectives, and deliverables in collaboration with internal stakeholders and clients. 
  • Develop and maintain detailed project plans, timelines, and resource allocations. 
  • Drive E2E QA plans, coordinating with engineering, data science, QAs, and operations teams to ensure timely and high-quality delivery. 
  • Identify and mitigate project risks and issues proactively. 
  • Facilitate Agile ceremonies (daily stand-ups, sprint planning, retrospectives) and ensure adherence to Agile best practices. 
  • Communicate project status, milestones, and risks to internal leadership and external clients. 
  • Ensure compliance with Centific’s data security, privacy, and quality standards. 

Required Qualifications: 

  • Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field. Master’s degree preferred. 
  • Experience: Minimum 6 years of experience in technical project management, with at least 3 years in AI, data, or software development environments. 
  • Strong understanding of Agile/Scrum methodologies and project management frameworks (PMBOK, PRINCE2). 
  • Proficiency with project management tools such as Jira, Confluence, MS Project, or Asana. 
  • Excellent communication, stakeholder management, and problem-solving skills. 
  • PMP, CSM, or equivalent certification is a strong plus. 

Salary: $100k - $110k

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field
  • Master's degree
  • Minimum 6 years of technical project management experience with at least 3 years in AI, data, or software development environments
  • Strong understanding of Agile/Scrum methodologies and project management frameworks (PMBOK, PRINCE2)
  • Proficiency with project management tools such as Jira, Confluence, MS Project, or Asana
  • Excellent communication, stakeholder management, and problem-solving skills
  • PMP, CSM, or equivalent certification

Centific Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Centific and has not been reviewed or approved by Centific.

  • Healthcare Strength Feedback suggests core medical, dental, and vision coverage is comprehensive, with mental‑health support included. U.S. offerings also include HSA/FSA and are described as solid insurance options.
  • Flexible Benefits Feedback suggests flexible hours and work‑from‑anywhere options are widely promoted, with flexible PTO available in some contexts. Learning stipends and development programs add adaptable elements to the package.
  • Parental & Family Support Feedback suggests paid parental leave is explicitly available to all parents. This positions family leave as an accessible component of the overall package.

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The Company
HQ: Redmond, WA
2,900 Employees

What We Do

Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.

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