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Supports oversight of financial risk management by monitoring risk tolerances, assessing framework effectiveness, producing management and board reporting, tracking audit and exam issues, and supporting default management and recovery planning. The role maintains risk inventories, develops monitoring tools, reviews reporting accuracy, assists with enterprise risk assessments, and contributes to policies, procedures, controls, and special projects in a highly regulated securities environment.

Leads Territory Managers across Arkansas, coaching them in the field, driving regional revenue, supporting sales and account expansion, maintaining Salesforce pipeline and forecasting discipline, and translating national strategy into regional execution. The role also involves recruiting and developing talent, surfacing customer and product insights, and collaborating with cross-functional leadership. Approximately 60% travel is required.

Provide first-line IT support across hardware, software, and networking; manage help desk tickets and onboarding; configure devices, perform routine maintenance, document systems, assist vendors, and support compliance initiatives (CMMC Level 2, ITAR).

Leads drafting, negotiation, execution, and lifecycle administration of commercial and government contracts, NDAs, teaming agreements, and MOUs. Analyzes solicitations, prepares compliance matrices, evaluates contractual and financial risks, negotiates terms, maintains contract records, and ensures compliance with company policies, FAR, DFARS, and applicable agency requirements. Collaborates with legal, procurement, and project management stakeholders to achieve favorable outcomes and improve contracting processes.

Own complex technical support issues from reproduction through resolution, troubleshooting APIs, webhooks, workflows, integrations, and AI agent behavior. Escalate well-documented issues to Engineering, identify recurring patterns, and partner on product improvements. Create runbooks and troubleshooting guides, coach Tier 1/2 and BPO teams, support critical incidents and premier accounts, participate in on-call rotation, and handle sensitive customer data appropriately.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.

Build and own full-stack, AI-native products, including multi-agent LLM orchestration, scalable FastAPI services, high-throughput pipelines, and React interfaces. Develop experimentation, evaluation, observability, safety, and rollout systems for AI agents. Optimize performance, reliability, and infrastructure while partnering with Product, Design, Customer Success, and customers. Lead incident response, on-call operations, testing, deployments, and architectural decisions in a high-ownership NYC engineering team.

Drafts, edits, and coordinates external communications across press, executive, blog, social, and briefing materials. Translates complex business, product, policy, and industry topics for varied audiences; manages content calendars, monitors news, supports rapid-response communications, and improves digital content performance through audience insights.

Own the full sales cycle for travel-sector businesses, from prospecting through close. Build pipeline through targeted outreach, events, networking, and industry relationships; develop partnerships across travel sub-verticals; and collaborate with Legal, Finance, and Strategy. Help customers address cross-border payments, foreign exchange exposure, reconciliation, and fragmented payment flows using Airwallex solutions.

Early-career software engineer joining Morningstar’s Central Technology AI team through its development program. Responsibilities include contributing to Agile projects, researching and solving business problems, building AI-enabled solutions with Python and modern AI tools, collaborating with engineers and business stakeholders, presenting outcomes, and participating in structured training and mentorship. The role is based in Chicago with four days per week in the office.