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Fireworks AI

AI inference platform for model deployment

Third-Party Risk Management Analyst

Security Governance, Risk & ComplianceConfirmed live in the last 24 hours
Full-time$150k - $170k /yrHybrid

About the Job

Requirements

  • 3-5 years of experience in third-party or vendor risk management, GRC, IT audit, or information security.
  • Hands-on experience running vendor security assessments, reviewing questionnaires, SOC 2 and ISO reports, and security documentation, and turning findings into a clear risk rating.
  • Familiarity with the third-party risk management lifecycle, including intake, risk tiering, exceptions and risk acceptance, remediation tracking, and periodic reassessment.
  • Working knowledge of SOC 2, ISO 27001/27701/42001, HIPAA, GDPR, NIST Cybersecurity Framework, or similar frameworks, and common control domains such as access control, encryption, incident response, and business continuity/disaster recovery.
  • Experience with a GRC or third-party risk management platform such as Anecdotes, Vanta, Drata, Secureframe, OneTrust, or Whistic.
  • Comfort with cloud environments such as AWS, GCP, or Azure, and with how SaaS and AI products are built and operated, sufficient to assess vendors that host or process company data.
  • Ability to explain vendor risk clearly to engineers, Legal, Procurement, and non-technical employees without overstating or hand-waving.
  • Ability to manage many reviews and deadlines while maintaining rigor.

Responsibilities

  • Triage inbound vendor requests from Engineering, IT, GTM, and Legal; classify each vendor by data sensitivity and criticality; and scale review depth to the risk tier.
  • Review SOC 2 Type II reports, ISO 27001/27701/42001 certificates, HIPAA and GDPR documentation, penetration test summaries, and security questionnaires, then produce a clear, defensible risk rating.
  • Distinguish actual control gaps from acceptable compensating controls, document findings and exceptions, and drive risk acceptance decisions with the appropriate risk owners.
  • Work with Legal and Procurement on DPAs, BAAs, subprocessor terms, and security addenda so risk findings are reflected before contracts are signed.
  • Run tiered vendor reassessments, track SOC 2 and ISO report expirations and bridge letters, monitor vendor incidents and breaches, and review subprocessor changes.
  • Follow up with vendors and internal owners to close remediation items, and maintain an accurate vendor inventory and risk register in the GRC platform.
  • Track review cycle times, backlog, open exceptions, reassessment coverage, and concentration risk, and turn the data into insights for security leadership.
  • Refine questionnaires, tiering criteria, intake workflows, and templates, and use automation and AI-assisted workflows to review more vendors without lowering standards.
  • Work with Engineering, IT, HR, Legal, and GTM, and explain vendor risk in plain language.
  • Take ownership of the full third-party risk management workstream from intake through offboarding, including policy, standards, and tiering criteria as the role grows.
  • Help design assessment methods, risk models, and automation to improve speed and consistency as vendor volume grows.
  • Connect third-party findings to the enterprise risk register and represent GRC in cross-functional projects such as AI/ML vendor adoption and infrastructure provider selection.

About the Company

Fireworks AI

AI inference platform for model deployment

Fireworks AI provides an AI inference platform that helps organizations run, customize, and deploy machine learning models. It supports deployment, fine-tuning, and inference workflows, with access to open-source models and on-demand deployment options through a subscription model. The platform enables users to configure and optimize models for production environments, manage variants, and scale AI workloads while controlling costs. Unlike some competitors, the emphasis is on end-to-end production-grade inference and fine-tuning across a range of clients, from tech firms to research institutions and enterprises, with tools tailored for rapid deployment and cost efficiency. The long-term goal is to expand the use of AI in production by building compound AI systems, growing the team, and delivering broader platform capabilities that accelerate AI adoption in real-world settings.

Company size
201-500
Company stage
Series D
Total funding
$1.8B
Headquarters
Redwood City, CA
Founded
2022

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