• Manage the full monthly partner billing cycle — collect partner-specific data, generate reports using existing tools, and coordinate internal review and approvals through to close • Handle communications with partners, including reviewing and sending billing emails and responding to partner inquiries • Analyze and investigate data discrepancies, resolve issues within your scope, and escalate pipeline problems with clear documentation • Create, issue, and follow up on partner invoices in NetSuite, match purchase orders to invoices, and confirm receipt and application of discounts • Complete vendor and customer setup during onboarding of new partners, including collecting required documents, tax forms, and banking details • Support month-end close with account reconciliations and preparation of journal entries • Maintain process documentation and assist with external audit requests as needed • Own ad hoc accounting and finance operations projects as needed.

• Execute team direction in partnership with the Senior Director of DBQ Operations across Generation, Quality Control, and Quality Assurance teams • Manage goals, metrics, and day-to-day team operations for a large operational team across all three departments, working through supervisors and team leads • Lead, align, and develop supervisors to ensure department-wide consistency and accountability • Coach, mentor, and track team performance against departmental and company goals • Execute the full performance management cycle: coaching conversations, performance reviews, development plans, and performance concerns • Track team goals and progress, support each supervisor's professional development and overall DBQ skill growth • Act as lead in interview and onboarding processes for all new team members, including GoTeam members • Own supervisors' timecards and PTO approvals - serve as backup when supervisors are unavailable • Hold supervisors accountable to their team 1:1s and serve as backup when needed • Own weekly department meetings and bi-weekly staff check-ins • Build and maintain performance dashboards and accountability systems to ensure visibility into team output, error trends, and individual performance • Eliminate roadblocks across teams and escalate systemic issues proactively • Serve as the primary DBQ Subject Matter Expert for Generation, Quality Control, and Quality Assurance teams • Apply medical/clinical knowledge to ensure DBQ content accuracy, appropriate medical terminology, and alignment with VA rating criteria • Review VA template, rating schedule, and policy changes to identify what has changed and update DBQ training materials accordingly • Ensure all DBQ-specific training content reflects current VA rating criteria, accurate medical terminology, and REE Medical's internal processes • Maintain and update process documentation, SOPs, and quick-reference guides as workflows evolve or are revised • Conduct quarterly reviews of all DBQ training materials to confirm accuracy and flag outdated content for revision • Identify content gaps through QA feedback, error trends, and supervisor input, then draft updated training content for Director review and approval • Ensure updated training content is published within 30 days of any major process change or VA update, following Director sign-off • Serve as the content accuracy resource for supervisors and team members who have questions about DBQ-related training materials • Ensure DBQ-related process updates are implemented and communicated effectively across departments • Ensure all teams follow processes and procedures related to Operational Programs and PII/PHI safeguarding • Manage and report on team compliance within REE Medical's policies and procedures • Work in tandem with the Senior Director of DBQ Operations and supervisors to ensure complete alignment across teams • Implement and sustain process improvements that enhance efficiency, reduce errors, and improve knowledge accessibility

• Serve as the central point of contact for inbound RFx requests (RFPs, RFIs, RFQs, security questionnaires), logging, tracking, and triaging submissions in the intake system. • Apply qualification criteria to assess fit, resource requirements, and deadlines, and route opportunities to the right owners with clear context. • Coordinate contributions from sales, subject-matter experts, legal, finance, and leadership to keep proposal timelines on track. • Draft, edit, and assemble proposal content, ensuring a consistent voice, factual accuracy, and compliance with submission requirements. • Manage reviews, approvals, and version control through to final submission. • Support a team of RFx contractors on quality assurance, serving as a first point of contact for questions, blockers, and at-risk deadlines. • Contribute to the content repository following internal content management processes.

Role Description We are seeking a Director, Enterprise AI Operations to lead the design and execution of AI operations across Forbes. This is an internal-facing role focused on transforming how teams operate, not building external AI products. This is not a traditional product role, and it is not an AI experimentation role. We are looking to operationalize AI across the company. This role is for a leader who has successfully driven operational transformation at scale and knows how to move organizations from ideas to adoption, and from tools to sustained behavioral change. Working closely with executive leadership, this person will help execute Forbes’s enterprise AI enablement & operational strategy by embedding AI into the core workflows that power Editorial, Audience, Revenue, and internal operations. You will be responsible for operationalizing a focused set of high-impact initiatives that integrate AI into day-to-day workflows and drive measurable business outcomes. Success in this role is defined by: - Adoption - Operational efficiency - Improved decision-making - Measurable organizational impact This role will partner cross-functionally across Product, Technology, Editorial, Revenue, Audience, Legal, HR, and Operations to ensure AI becomes a sustainable operating layer across the business. This is a high-impact leadership role focused on execution, enablement, governance, and organizational transformation. Responsibilities - AI Operations & Execution - Execute and operationalize Forbes’s internal AI roadmap in partnership with executive leadership. - Drive implementation of a focused set of high-impact AI initiatives that materially improve workflows and business outcomes. - Translate strategic priorities into scalable operational programs, processes, and execution plans. - Ensure AI capabilities are embedded into existing workflows and systems rather than operating as parallel or optional tools. - Partner closely with Product and Engineering teams to support the successful deployment and integration of AI capabilities across the organization. - Cross-Functional Enablement & Change Management - Lead enterprise-wide AI adoption efforts across Editorial, Audience Development, Consumer Revenue, Advertising, and corporate functions. - Build and scale repeatable enablement systems, training programs, and operational playbooks that drive sustained behavioral change. - Own change management processes end-to-end, proactively identifying resistance points, gathering feedback, and partnering with department leaders to improve adoption. - Build and manage an internal AI community of practice to share knowledge, best practices, and workflow innovations across teams. - Partner with HR and organizational leadership to support workforce readiness and AI literacy initiatives. - Governance & Operational Discipline - Support AI governance efforts in partnership with Product, Legal, Editorial Standards, Security, and Privacy teams. - Help establish operational standards and processes for responsible AI usage, including sourcing, attribution, disclosure, and approved use cases. - Assist in rationalizing Forbes’s AI tooling ecosystem by evaluating usage, overlap, adoption, and business value. - Partner with leadership on vendor evaluations, implementation planning, and operational rollout of AI tools and platforms. - Monitor operational and reputational risks associated with AI adoption and escalate concerns proactively. - Measurement & Business Impact - Build and maintain operational reporting frameworks and dashboards that track AI adoption, workflow efficiency, time savings, output quality, and business impact. - Define and measure success based on organizational adoption and measurable operational outcomes. - Partner with leadership to assess ROI and effectiveness of AI initiatives across teams and workflows. - Support budget and vendor management processes with a focus on operational efficiency and measurable value creation. - Communication & Leadership - Communicate clearly and effectively with senior leadership and cross-functional stakeholders regarding initiative progress, adoption metrics, operational challenges, and business impact. - Serve as the operational lead for enterprise AI transformation initiatives across the company. - Lead and develop a high-performing team focused on execution, enablement, and operational excellence. - Foster strong cross-functional alignment while maintaining focus on organizational outcomes and execution discipline. Qualifications - 8–12+ years of experience in transformation, operations, product, platform, or program leadership roles. - Proven track record in building and scaling AI operations functions or enterprise operational programs that changed how teams work. - Strong change management experience, including driving adoption across large, diverse, and sometimes resistant organizations. - Experience defining and managing operational standards, workflows, and governance frameworks at scale. - Experience executing complex cross-functional initiatives with multiple stakeholders and competing priorities. - Comfortable operating in ambiguous, high-visibility environments with evolving priorities. - Strong operational and execution instincts, with the ability to translate strategic direction into scalable implementation plans. - Experience building or scaling internal systems, workflows, enablement programs, or operational platforms. - Exceptional organizational and stakeholder management skills. - Hands-on experience applying AI/LLMs to operational workflows, with sharp instincts for where they create value and where they don't. - Data-driven mindset with experience measuring operational impact and adoption outcomes. - Fluency in translating complex initiatives into clear operational direction and organizational alignment. - Comfortable serving as a force multiplier for executive leadership by helping operationalize and scale strategic initiatives across the organization. Nice to Have - Background in consulting, internal strategy, change management, or operational excellence functions within scaled organizations. - Experience in digital media, publishing, or content-driven businesses. - Experience leading enterprise workflow or large-scale operational transformation initiatives. - Familiarity with personalization systems, content operations, or audience growth mechanics. - Experience operationalizing AI platforms such as OpenAI, Vertex AI, or similar. - Experience partnering with Legal, Privacy, Security, or Compliance teams on technology initiatives. - Experience managing or rationalizing complex SaaS or AI tooling environments. Compensation The annual base salary range for this role is $180,000 - $195,000. Forbes has estimated the compensation range set forth above in good faith. The compensation range is what we believe we will offer, and ultimately pay, a successful candidate. In determining this range, we consider the experience, level of education (if applicable to the role), knowledge, skills, and abilities required to be had by a successful candidate as well as the budget and the company’s pay rates, generally. This role may evolve over time. While this job description outlines the primary responsibilities, additional duties may be assigned as business needs change. Forbes aims to offer employees the flexibility they need in order to be successful. Some positions may require candidates to be based in a specific location for consideration while some roles may be fully remote (within the U.S.) if it aligns with the needs of the position. This position is only open to candidates residing in California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Maine, Maryland, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, & Washington. Due to business operations and compliance requirements, we are unable to consider applicants based outside these states at this time. Forbes is an equal opportunity employer.