Technical Project Manager

The Company
SuperAnnotate is a fast-growing, Series B startup revolutionizing the field of AI-data Infrastructure. We specialize in providing cutting-edge data pipeline solutions for Machine Learning, LLM, and GenAI solutions to large enterprise clients, helping them leverage the power of AI to transform their businesses. SuperAnnotate has a fully customizable platform for building annotation tools and workflows that AI projects demand—while unifying the management of all teams, vendors, and data in one place. We’re very proud to have products that are loved by our customers, resulting in us being listed as the highest-ranked platform on G2.

The Role

We are seeking an experienced Technical Project Manager to oversee and drive the execution of AI data projects. In this role, you will manage the entire lifecycle of data creation projects for enterprise clients, from initial client consultation through final delivery. This position combines technical expertise, meticulous attention to detail, client-facing skills, and superior project management capabilities.

You will act as the central point of contact for clients and internal teams, ensuring projects are well-defined, resources are optimized, and outputs meet the highest standards. The ideal candidate brings a solid technical background to effectively assess project needs, ensuring the right level of expertise is allocated while maintaining a deep focus on quality and deadlines.

Key Responsibilities:

Project Leadership:

• Lead and manage AI data creation projects day-to-day, ensuring timely and successful delivery for enterprise clients
• Develop detailed project plans, including workflows, timelines, milestones, and resource allocation
• Monitor project scope, communicate changes, and ensure alignment with client expectations
  
  
  
  
  

Client Collaboration:

• Act as the primary point of contact for clients, maintaining strong relationships and providing regular updates
• Work with clients to define project requirements, expectations, and success metrics
  
  
  
  
  

Team Coordination:

• Collaborate with the hiring team to hire, onboard, and manage annotators to ensure they meet project-specific requirements
• Guide teams to ensure proper technical setup and workflow execution
• Communicate technical requirements and challenges effectively between annotators, clients, and internal teams
  
  
  
  
  

Quality Assurance:

• Conduct regular spot checks and quality reviews of output to ensure data meets client standards
• Implement processes to track and improve quality metrics
  
  
  
  
  

Technical Expertise:

• Understand project technical needs, leveraging knowledge of coding and querying languages (e.g., Python, SQL)
• Assess and recommend the level of expertise required for specific tasks
  
  
  
  
  

Process Optimization:

• Continuously refine workflows and tools to enhance efficiency and deliver optimal outcomes
  
  
  
  
  

Experience:

• 3-5 years in project management, preferably in AI, data annotation, or related fields
• Proven track record managing complex, client-facing projects in a fast-paced environment
• Preferred 2+ years of experience as a technical solutions or sales engineer in a tech environment or a customer-facing role within a Professional Services/Systems Engineering team
  
  
  
  
  

Technical Skills:

• Direct experience with coding and querying languages to conceptualize project requirements (e.g., Python, SQL)
• Experience working with AI/ML workflows or data annotation platforms
  
  
  
  
  

Soft Skills:

• Exceptional organizational and detail-oriented mindset
• Strong analytical and problem-solving abilities
• Outstanding communication and interpersonal skills to manage client relationships and internal teams
  
  
  
  
  

Education:

• Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Data Science) or equivalent experience
• Preferred Qualifications
• Experience managing large-scale AI/ML data creation projects
• Familiarity with data quality metrics and processes for AI training datasets
• Knowledge of large language models (LLMs) or other advanced AI technologies
  
  
  
  
  

Only shortlisted candidates will be contacted for an interview!
What You'll Have With Us

• Attractive base salary with significant stock options offering an ownership stake in the company’s success
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement plan
• Flexible paid time off, holidays, and parental leave policies
• Opportunity to shape the future of a cutting-edge technology company
• Access to ongoing training and professional development opportunities
• Referral Program
  
  
  
  
  

EqualOpportunity
We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.