AI Operations Associate
Accordion
| Company | Accordion |
| Category | Data & Analytics |
| Location | Atlanta; Boston; Charlotte; Chicago; Dallas; Los Angeles; New York; San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 29 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Please note: This position is not eligible for immigration sponsorship.
Company Overview
We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.
If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.
Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.
AI Operations Associate
The AI Operations Associate monitors AI-driven workflows in production, reviews output-quality incidents, supports fallback and human-review decisions, and partners on trust-sensitive escalations. This role helps ensure AI-enabled workflows remain reliable, supportable, and safe in live finance-oriented environments.
This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).
This position is not eligible for immigration sponsorship.
What You'll Do:
AI Workflow Monitoring
Monitor AI-driven workflows in production for abnormal behavior, trust issues, degraded outputs
Review signals related to output quality, fallback use, low-confidence patterns
Escalate issues affecting live user trust, business quality, or finance-sensitive outcomes
Track adoption rates, usage frequency, and tool traction
Incident Investigation
Investigate output-quality incidents, orchestration failures, prompt/workflow regressions
Distinguish true software defects from model behavior, data-quality, or process issues
Partner with Engineering, QA, and business stakeholders on judgment-heavy incidents
Operational Controls
Support human-review patterns, fallback routes, and safe-operating responses
Define and apply production review practices for higher-risk workflows
Document evidence and issue patterns for repeatability and release decisions
Cover vendor-deployed solutions with same rigor as internally built workflows: managing vendor SLAs, update cycles, and incident patterns
Measurement Contribution
Identify recurring issues and recommend improvements to monitoring and quality feedback loops
Feed production learnings back into QA, Product, and Engineering
Feed structured, reportable data into the measurement platform including performance metrics, incident patterns, adoption signals for portfolio-level visibility
Act as product owner for AI usage and adoption dashboards
You Have:
4+ years experience in production support, AI operations, business process ops, analytics, or QA
Strong analytical skills evaluating nuanced workflow/output issues with focus on safe operations
High attention to detail; proven experience spotting subtle trust or quality issues
Ability to work across engineering and business teams in ambiguous situations
Comfort balancing evidence, judgment, and business impact under pressure
Experience with AI-enabled workflows, operational analytics, or workflow-heavy systems
Strong written communication and documentation discipline
Python proficiency required
Experience utilizing APIs
Bachelor's degree preferred
You Are:
Excited to be part of a growing team, with a focus on driving future growth
Passionate about delivering exceptional client service
Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
Willing to get your hands dirty in the details of a project while simultaneously seeing the whole pic
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