Compliance Manager, Contextual AI
+ Equity
Office located in Mountain view, CA
Contextual language models for enterprise
Open for applications
Contextual language models for enterprise
21-100 employees
Open for applications
+ Equity
Office located in Mountain view, CA
21-100 employees
Company mission
To change the way the world works through AI.
Role
Who you are
- 7+ years of progressive experience in Information Security Governance, Risk and Compliance (GRC) or equivalent Compliance roles within the tech sector; Big 4 consulting and auditing experience is advantageous
- Minimum 3 years hands-on experience auditing cloud environments (AWS, Azure, GCP), performing compliance assessments, and driving audits (SOX, ISO, SOC, PCI DSS)
- Demonstrated knowledge of AI-specific regulatory landscapes and governance frameworks
- Exceptional multitasking abilities with a track record of managing concurrent high-stakes projects
- Demonstrated capacity to independently lead meetings, drive outcomes, and deliver superior stakeholder engagement in a fast-paced, innovative environment
- Superior analytical, communication, and project management skills
- Agility in adapting to and working with emerging technologies, methodologies, and solutions in the Cloud/IT/AI landscape
- Professional certifications such as CISA, CISSP, CISM, or cloud platform certifications (AWS, Azure, GCP) are highly valued; AI ethics or governance certifications are a plus
- If you are passionate about complex challenges at the intersection of AI, security, and governance, we’d love to have you on our team
What the job involves
- As the Compliance Manager at Contextual AI, you'll spearhead our efforts to ensure the security, compliance, and integrity of our cutting-edge AI systems and platforms
- This pivotal role bridges our engineering and product teams, driving the design, implementation, and maintenance of robust security measures that protect our systems, data, and infrastructure
- You'll also be at the forefront of AI governance, navigating the complex landscape of emerging AI-specific regulations and compliance requirements
- Architect and execute a comprehensive data governance strategy, instilling confidence in our customers regarding our data security practices
- Lead and oversee compliance certifications (SOC2, HIPAA), ensuring our adherence to industry standards
- Orchestrate audit support, collaborating with engineering teams on readiness assessments, testing, and control reviews for ongoing compliance audits (SOX, ISO, SOC)
- Champion compliance programs including access reviews, third-party risk management, and sales support
- Foster a strategic partnership with engineering, educating on compliance priorities while balancing risk-appropriate control implementation with business objectives
- Develop and maintain a robust strategy and documentation suite aligning business goals with pre- and post-sales IT & Security support
- Conduct due diligence for high-value potential customers, including reputational checks and breach history analysis
- Leverage and optimize compliance automation tools to scale operations and generate consistent audit artifacts
- Craft and refine compliance documentation, policies, and processes to ensure effective control implementation
- Lead AI governance initiatives, ensuring adherence to evolving AI-specific regulations and ethical guidelines, such as the EU AI Act, NIST AI Risk Management Framework, and industry-specific AI compliance requirements
- Stay abreast of emerging AI regulations and proactively adapt our compliance strategies to meet new requirements
Our take
Founded by former Facebook research scientists, Contextual AI is building customisable, scalable and trustworthy Large Language Models for use by enterprises. Its main product is a tool to improve model performance so that users can build production-grade AI systems.
The backbone of this product is a technology that feeds curated information into AI models so that the LLM can have more context and up-to-date information. This helps to minimise AI “hallucinations”, an increasingly common problem for models like ChatGPT.
Contextual AI is currently working with companies in the finance, technology and media sectors. Since its impressive 2024 funding, it will no doubt seek growth, perhaps into other sectors. Either way, as AI models become more and more common in enterprise use, the future looks bright for Contextual AI.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Aug 2024
$80m
SERIES A
Jun 2023
$20m
SEED
Total funding: $100m
Company benefits
- Nnovative Environment: Be part of a forward-thinking company that values creativity and innovation
- Career Growth: Opportunities for professional development and career advancement
- Collaborative Culture: Work with a talented and supportive team dedicated to excellence
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Douwe Kiela
(CEO)Previously Adjunct Professor at Stanford University, Head of Research at Hugging Face and Research Scientist at Facebook. Was also the CEO and Founder of Brainstorm IT.
Amanpreet Singh
(CTO)Previously Research Team Lead at Hugging Face, Research Engineer at Facebook AI, and Mobile Maintainer at jQuery Foundation. Was also a Software Engineering Intern at Amazon.
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