Senior Staff Technical Program Manager
ServiceNowSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Annotation, Software DevelopmentIndustries
Requirements
Candidates should possess a bachelor's degree or higher in computer science, engineering, or a related STEM field. Proficiency in SQL and Python is required, along with familiarity with BI tools such as Looker and project management tools like JIRA, Asana, or Notion. The ideal candidate thrives in high-stakes, fast-paced environments and demonstrates proactive ownership and a commitment to moving quickly.
Responsibilities
The Technical Program Manager will lead high-impact AI initiatives, managing and executing complex AI data projects with technical and operational excellence. This role involves partnering with AI labs to define project requirements and success metrics, translating strategic goals into actionable plans, and building new solutions as needed. The individual will proactively identify and resolve dependencies, unblocking teams with their technical expertise, and communicating precise, actionable updates to stakeholders and leadership to ensure alignment and mitigate risks.
Skills
Technical Program Management
AI
Data
Project Management
Cross-functional collaboration
Agile methodologies
Product development lifecycle
Stakeholder management
Risk assessment
Problem-solving
Labelbox
Provides data labeling solutions for AI
About Labelbox
Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$183.7MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees
Benefits
Competitive remuneration
Flexible vacation policy (we don't count PTO Days)
401k Program
College savings account
HSA
Daily lunches paid for by the company (especially convenient while working from home)
Virtual wellness and guided meditation programs
Dog-friendly office
Regular company social events (happy hours, off-sites)
Professional development benefits and resources
Remote friendly (we hire in-office and remote employees)
Risks
Competition from Google's Gemini platform may attract potential Labelbox clients.
Rapid AI advancements by tech giants could outpace Labelbox's current offerings.
Reliance on partnerships like Google Cloud poses risks if these change or dissolve.
Differentiation
Labelbox offers advanced data labeling solutions for AI applications across multiple industries.
The platform supports complex NLP use cases, attracting tech and communication sectors.
Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.
Upsides
Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.
Auto-computed metrics reduce error correction time and improve model performance.
Opening a London office facilitates European market expansion and better client service.
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