← Back to results

Sr. Enterprise Risk Operations Specialist

Join Reflection AI as a Sr. Enterprise Risk Operations Specialist to build and manage operational risk programs in a high-impact role.

Location
New York, NY, United States
Compensation
Not disclosed
Level
senior
Type
full time

Posted by employer 16 hours ago

First seen on Joblaze 7 hours ago

Last verified on the company career page 7 hours ago

Apply at Reflection AI → Save job Scanned from reflection.ai

What you'll build

  • Drive risk assessments and certifications
  • Conduct due-diligence assessments of third parties
  • Validate policies and controls related to risk management
  • Manage risk issue inventory and remediation
  • Report on open issues and risk trends

Must have

  • 7+ years of experience in risk operations
  • Experience in compliance and internal audit
  • Hands-on experience with risk assessments
  • Experience in regulated environments

Nice to have

  • Experience in technology risk operations
  • Knowledge of AI system risk evaluation
  • Strong analytical and investigative skills

AI in the day-to-day

null

Requirements

Experience
7+ years
Visa
Sponsorship available

Not disclosed in this posting: compensation, work arrangement.

Benefits

Unlimited PTO Equity/Stock Options Team Building Health Insurance Parental Leave

Joblaze summary

The Sr. Enterprise Risk Operations Specialist at Reflection AI is responsible for implementing and managing risk governance frameworks, ensuring compliance across various business functions. This role requires expertise in risk assessments, third-party risk management, and controls assurance, with a strong emphasis on operational discipline and analytical skills. Ideal candidates will have over seven years of experience in risk operations or compliance, particularly in technology environments, and should be adept at building collaborative relationships across teams. Reflection AI emphasizes a culture of operational excellence and continuous improvement in risk management.

Joblaze insights

Quick facts

How much experience is required?
At least 7 years of relevant experience for this Sr. Enterprise Risk Operations Specialist role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI Safety, Compliance, Information Security, Internal Audit, Risk Management.
Does Reflection AI sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Reflection AI targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Sr. Enterprise Risk Operations Specialist role at Reflection AI.

From the original posting

Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

Role Overview

The Sr. Enterprise Risk Operations Specialist position is a senior role within Enterprise Risk & Trust, reporting to the Head of Enterprise Risk & Trust. This is the hands-on expert who translates the organization’s risk governance frameworks and policies into operational reality — personally operating the machinery that validates adherence, surfaces issues, and drives resolution. The result is a continuously evidenced, audit-ready risk posture that can be confidently represented to customers, regulators, and leadership.

Spanning commercial risk support, third-party risk management, controls assurance, and risk issue management, this role serves as an operational center of gravity for the Enterprise Risk & Trust function — coordinating across product, engineering, legal, and compliance teams to ensure risk obligations are not just understood, but actively evidenced and remediated where gaps exist.

This is a high-visibility, high-impact individual-contributor role that operates across all business functions. Success requires the ability to translate complex risk concepts into verifiable risk management, influence without direct authority, and build trusted relationships internally and externally.

What You'll Do

Commercial Risk & Go-to-Market Support

  • Drive the end-to-end lifecycle for risk assessments and certifications supporting the deals pipeline and go-to-market efforts, ensuring risk reviews are completed with the speed and rigor the business requires.

  • Partner closely with sales, legal, and product teams to scope and deliver risk assessments tailored to customer requirements, industry verticals, and deal-specific obligations.

  • Develop and maintain a library of reusable risk assessment artifacts, certifications, and evidence packages that accelerate commercial cycles without compromising quality.

  • Serve as a risk subject-matter expert in customer-facing conversations, due diligence requests, and RFP responses involving risk, compliance, and AI safety topics.

Third-Party & Vendor Risk Management

  • Conduct upfront due-diligence assessments, ongoing risk monitoring, and on-demand risk reviews of third parties and vendors supporting organizational operations.

  • Design and operate a scalable third-party risk management program that reflects the organization’s risk appetite, vendor criticality tiers, and evolving regulatory expectations.

  • Define and maintain clear criteria for vendor risk tiering, onboarding requirements, and ongoing monitoring cadences — ensuring continuous visibility into the risk profile of the extended enterprise.

  • Coordinate with procurement, legal, and technology teams to ensure vendor risk findings are reflected in contracting, remediation timelines, and relationship management decisions.

Controls Assurance & Obligation Validation

  • Validate and evidence the design and operational efficacy of policies, standards, controls, and guardrails related to risk management — translating governance intent into demonstrable operational outcomes.

  • Design and execute controls testing programs that provide reliable, audit-quality evidence of control effectiveness across the organization’s obligation landscape.

  • Develop and maintain structured assurance documentation that enables confident representation of risk posture to regulators, auditors, and enterprise customers.

  • Identify and escalate control design or operational gaps, working cross-functionally to drive timely and durable remediation.

Risk Issue Management & Remediation

  • Operate the organization’s risk issue management lifecycle, including maintenance of the risk issue inventory, escalation protocols, remediation prioritization frameworks, and exception management.

  • Define and apply clear standards for issue documentation, severity classification, ownership assignment, and remediation timelines — ensuring accountability and visibility at all levels.

  • Drive prioritization of remediation efforts in alignment with the organization’s risk appetite, ensuring that the most consequential exposures receive appropriate urgency and resources.

  • Manage the exception management process, including evaluation, approval, compensating control requirements, and time-bound tracking of all active exceptions.

  • Provide regular reporting to leadership on open issues, remediation velocity, exception inventory, and systemic risk trends, enabling informed decisions on risk tolerance and resource allocation.

What We're Looking For

Experience & Background

  • 7+ years of progressive experience in risk operations, compliance, internal audit, information security, or a closely related discipline, with a demonstrated track record as a hands-on practitioner and builder of operational risk programs.

  • Demonstrated track record of building and operating scalable risk operational programs: controls assurance, third-party risk management, issue management, or incident response.

  • Hands-on experience with commercial risk support functions, including the delivery of risk assessments, certifications, or security questionnaires in a go-to-market or enterprise sales context.

  • Prior experience in technology risk operations — with working knowledge of AI system risk evaluation, safety testing methodologies, and the operational lifecycle of AI models.

  • Experience operating in regulated environments and interacting directly with auditors, regulators, or enterprise customers on risk, compliance, or security topics.

Skills & Capabilities

  • Exceptional operational discipline — proven ability to design, document, and run repeatable, audit-quality risk management processes at scale.

  • Strong analytical and investigative skills, with the ability to triage complex risk issues, synthesize large volumes of evidence, and distinguish signal from noise.

  • Demonstrated ability to manage and report on multi-workstream operational programs, balancing competing priorities, tight timelines, and cross-functional dependencies.

  • Excellent written and verbal communication skills, including the ability to document risk findings clearly and represent the organization’s risk posture credibly in customer-facing and regulatory settings.

  • Proficiency in risk management tools and GRC platforms; familiarity with evidence management, controls testing workflows, and incident tracking systems.

Mindset & Approach

  • An operational risk practitioner who takes pride in building evidence-based, audit-ready risk programs — and understands that credibility is earned through the quality and consistency of execution, not just the elegance of frameworks.

  • Deeply collaborative and cross-functionally astute, with the ability to engage engineering, legal, product, and compliance stakeholders as a trusted partner rather than a compliance gatekeeper.

  • Calm and structured under pressure, with the judgment to triage and respond to fast-moving risk events — from safety incidents to regulatory inquiries — without sacrificing rigor.

  • Genuinely curious about AI and technology risk, and motivated to develop and maintain meaningful operational expertise in a domain that is evolving rapidly.

  • A builder at heart — energized by creating programs and processes where structure is still emerging, and committed to leaving operational infrastructure better than they found it.

What We Offer:

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

  • Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.

  • Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.

  • Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.

  • Meals: Lunch and dinner are provided in the office daily.

  • Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.

  • Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.

  • Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.

  • Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Similar positions

Reflection AI
Sr. Enterprise Risk Governance Specialist
Reflection AI · New York, NY, United States
Reflection AI
Sovereign Deal Lead
Reflection AI · San Francisco, CA
Reflection AI
Engagement Manager
Reflection AI · San Francisco, CA
Reflection AI
Data Partnerships & Initiatives Manager
Reflection AI · New York, NY