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Technical Program Manager, Security & Privacy

Label Your Data·$150,000 – $350,000

Primary stack

ComplianceAqua Security

Nice to have's

SDLCMachine Learning

Job description

About the Position

Technical Program Manager, Security & Privacy

San Jose, CA

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We are looking for a Security TPM to join the Security & Privacy team at Figure, focusing on governance and compliance workflows, and development of our overall security program.

Responsibilities

  • Support a team of highly talented security and privacy engineers, fostering growth, innovation, and collaboration
  • Set the vision for data and access governance, ensuring alignment with Figure’s business objectives
  • Develop the security & privacy program at Figure, and work with teams across the company to implement necessary controls
  • Ensure that security, privacy, and data protection principles are seamlessly integrated into Figure’s products, services, and operations, while aligning with organizational goals and regulatory requirements
  • Establish and enforce data governance policies and frameworks to ensure data integrity, security, and compliance
  • Review security & privacy requirements for relevant industry standards and support certification efforts, including SOC, NIST, ISO, and more

Requirements

  • Ability to build and drive programs affecting all parts of a business
  • Ability to effectively advocate for and influence strategic initiatives at the company level
  • Experience collaborating with internal and external senior stakeholders at the company
  • Strong technical grasp of security & privacy fundamentals, including enterprise controls, SDLC, machine learning, cryptography, data protection, network security, and more
  • Experience navigating global privacy compliance programs (GDPR, CCPA, DSA, etc.)
  • Experience navigating industry certification, such as SOC-2, NIST, ISO 27001, ISO/TR 22100-4, IEC/TR 63074
  • Bachelor’s in a technical field such as Computer Science or equivalent experience
  • 8+ years of experience leading teams and large-scale programs

We Offer

The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

About the Company

Figure is an AI Robotics company developing a general-purpose humanoid. Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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