Product Operations Associate Jobs
Product Operations Associate jobs are open from entry-level to senior across SaaS, fintech, healthtech, and e-commerce, with specializations in tooling and systems, go-to-market operations, and cross-functional program coordination. Scan the live roles below and apply to whichever ones fit.
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(Tier 1) Analyst in the US-region is part of the front-line market data quality team responsible for monitoring, validating and onboarding cross asset derivatives and listed market pricing into ICE Data Services systems and downstream products.
The role owns the US leg of the global 24/5 follow-the-sun coverage model, taking handover from EMEA and handing over to APAC. The analyst is accountable for the integrity of real-time and end-of-day data during Americas market hours.
Responsibilities
-
Data Quality Ownership
- Accountable for monitoring and validation of cross asset raw and derived market data across all in-house analytical and monitoring tools.
- Own alerts quality and throughput: staleness and obsolescence breaches, threshold breaches, data jumps, source connectivity failures, scheduler and importer failures, and validation-cache rejections.
- Govern manual interventions such as manual fixings and uploads, assistance or manual flow entry, price modifications and suspect clearing, with documented reason codes and a four-eyes check on material overrides.
- Own the accuracy of reference and configuration data in scope of T1: trading hours and cut-off windows, holiday calendars, staleness thresholds, and source mappings.
- Drive root cause analysis on recurring data defects and convert findings into permanent fixes, threshold changes or automation rather than repeated manual correction.
-
Client Query and Incident Management
- Own the US queue of client and internal data queries end to end, including provider challenges and formal dispute resolution.
- Ensure accurate real-time and historical responses to data-related queries, with traceable evidence attached to every response.
- Declare, document and drive incidents to closure; produce post-incident reviews with concrete corrective actions and named owners.
- Manage communication with stakeholders during outages and degraded data conditions using approved templates.
-
AI-Enabled Analytics and Automation
- Set and execute the automation roadmap for the team: identify the highest-toil manual tasks each quarter and deliver measurable reductions.
Knowledge and Experience
- BA / BSc in Finance, Economics, Business, Statistics, Financial Engineering, Mathematics or a related quantitative discipline.
- 2+ years in market data operations, trade or data support, or financial data quality.
- Experience owning an incident or escalation process in a production environment.
- Working knowledge of cross asset instruments: interest rate swaps and options, OIS and SOFR-based curves, FX spot, forwards, swaps and options, listed equities and options, commodity futures, bonds and credit derivatives.
- Understanding of the US market structure the team supports: NYSE, Nasdaq and regional venues, OPRA and listed options, CME and ICE futures, US Treasury and SOFR benchmarks, and composite construction.
- Familiarity with end-of-day processing, settlement and official closing prices, the impact of corporate actions on pricing, and security identifiers (ISIN, SEDOL, CUSIP, RIC, MIC).
- Calm and decisive under production pressure; makes a defensible call with incomplete information and documents the reasoning.
- Clear written communication: can explain a data defect to a trader, a developer and an auditor in the language each one needs.
- Organized and detail oriented, with the discipline to keep documentation and evidence current.
- Collaborative across regions and time zones; treats the handover partner as a peer, not a queue.
#LI-MK2
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.(Tier 1) Analyst in the US-region is part of the front-line market data quality team responsible for monitoring, validating and onboarding cross asset derivatives and listed market pricing into ICE Data Services systems and downstream products.
The role owns the US leg of the global 24/5 follow-the-sun coverage model, taking handover from EMEA and handing over to APAC. The analyst is accountable for the integrity of real-time and end-of-day data during Americas market hours.
Responsibilities
-
Data Quality Ownership
- Accountable for monitoring and validation of cross asset raw and derived market data across all in-house analytical and monitoring tools.
- Own alerts quality and throughput: staleness and obsolescence breaches, threshold breaches, data jumps, source connectivity failures, scheduler and importer failures, and validation-cache rejections.
- Govern manual interventions such as manual fixings and uploads, assistance or manual flow entry, price modifications and suspect clearing, with documented reason codes and a four-eyes check on material overrides.
- Own the accuracy of reference and configuration data in scope of T1: trading hours and cut-off windows, holiday calendars, staleness thresholds, and source mappings.
- Drive root cause analysis on recurring data defects and convert findings into permanent fixes, threshold changes or automation rather than repeated manual correction.
-
Client Query and Incident Management
- Own the US queue of client and internal data queries end to end, including provider challenges and formal dispute resolution.
- Ensure accurate real-time and historical responses to data-related queries, with traceable evidence attached to every response.
- Declare, document and drive incidents to closure; produce post-incident reviews with concrete corrective actions and named owners.
- Manage communication with stakeholders during outages and degraded data conditions using approved templates.
-
AI-Enabled Analytics and Automation
- Set and execute the automation roadmap for the team: identify the highest-toil manual tasks each quarter and deliver measurable reductions.
Knowledge and Experience
- BA / BSc in Finance, Economics, Business, Statistics, Financial Engineering, Mathematics or a related quantitative discipline.
- 2+ years in market data operations, trade or data support, or financial data quality.
- Experience owning an incident or escalation process in a production environment.
- Working knowledge of cross asset instruments: interest rate swaps and options, OIS and SOFR-based curves, FX spot, forwards, swaps and options, listed equities and options, commodity futures, bonds and credit derivatives.
- Understanding of the US market structure the team supports: NYSE, Nasdaq and regional venues, OPRA and listed options, CME and ICE futures, US Treasury and SOFR benchmarks, and composite construction.
- Familiarity with end-of-day processing, settlement and official closing prices, the impact of corporate actions on pricing, and security identifiers (ISIN, SEDOL, CUSIP, RIC, MIC).
- Calm and decisive under production pressure; makes a defensible call with incomplete information and documents the reasoning.
- Clear written communication: can explain a data defect to a trader, a developer and an auditor in the language each one needs.
- Organized and detail oriented, with the discipline to keep documentation and evidence current.
- Collaborative across regions and time zones; treats the handover partner as a peer, not a queue.
#LI-MK2
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Product Operations Associate Jobs by Experience Level
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Find JobsProduct Operations Associate Job Market
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Investment & Asset Management
- Fintech
- Technology & Software
What Employers Look For
The qualifications that appear most often in product operations associate jobs.
- Experience with project management or workflow tools such as Jira, Confluence, or Notion
- Ability to analyze data and build reports using SQL, Looker, or similar BI tools
- Track of coordinating cross-functional initiatives across product, engineering, and design teams
- Strong written communication skills for documentation, process guides, and stakeholder updates
- Bachelor's degree in business, operations management, information systems, or a related field
- Familiarity with CRM or customer support platforms used in product feedback workflows
Tips for Your Product Operations Associate Job Search
Tailor your resume to ops metrics
Product operations roles reward quantifiable process improvements. Rewrite your bullet points to show cycle time reduced, ticket resolution rates improved, or tool adoption increased. Generic project descriptions won't distinguish you from candidates with direct product ops titles.
Highlight your systems and tooling fluency
Job descriptions for product operations associates almost always call out specific tools: Jira, Confluence, Notion, Looker, or Salesforce. Name the ones you've used in context, not just in a skills list, so hiring managers can see how you actually worked inside them.
Target companies by their product org size
Smaller product teams hire one generalist ops associate to run everything. Larger orgs split the role by function, like data, tooling, or rituals. Knowing which setup you're applying into shapes how you frame your experience and what questions you ask.
Apply early to roles that fit
Migrate Mate lists product operations associate openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a cross-functional influence story
Interviewers for product operations roles consistently probe how you've aligned engineering, design, and go-to-market teams without direct authority. Prepare two or three specific examples where you drove a process change across functions and can name the stakeholders involved.
Negotiate scope alongside compensation
Product operations associate titles vary wildly in responsibility. Before accepting an offer, clarify which product lines you'll support, whether you own tooling decisions, and how success is measured. Ambiguity at this stage compounds quickly once you're in the role.
Product Operations Associate Jobs: Frequently Asked Questions
Which companies are hiring the most product operations associates?
Humana, DoorDash, and Amazon are hiring the most product operations associates right now, with openings concentrated in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. SaaS companies and high-growth tech firms account for a large share of open roles at this level.
How many product operations associate jobs are remote?
About 88% of product operations associate openings are fully remote or hybrid as of November 2026, reflecting the coordination-heavy nature of the role. Sub-areas focused on data analysis, tooling administration, and process documentation tend to be the most remote-friendly, while roles tied to in-person sprint ceremonies or on-site stakeholder meetings are more likely to require presence.
How do you become a product operations associate?
Start by building experience in a cross-functional support role, such as business operations, program coordination, or customer success. Develop fluency in at least one project tracking tool and one analytics platform. Pursue formal product management education or certifications if your background is non-technical. Then target companies with established product operations functions, where the role has a defined scope rather than being improvised.
How do you get a product operations associate role with little experience?
Focus on roles at early-stage companies or those building out their first product ops function, where employers value adaptability over a specific title history. Emphasize adjacent experience: coordinating launches, managing backlogs, writing internal documentation, or running recurring team rituals. A portfolio of process artifacts, such as a template you built or a workflow you redesigned, signals operational thinking more convincingly than a job title alone.
What does the product operations associate interview process look like?
Most processes run three to four rounds. An initial recruiter screen assesses baseline fit and logistics. A hiring manager conversation explores how you've worked cross-functionally and handled ambiguous problems. A take-home or live exercise typically involves diagnosing a broken process, structuring a data set, or drafting a framework for a hypothetical product team. Final rounds usually include stakeholder interviews with product managers, engineers, or go-to-market leads who would work directly with you.
Where can I find and apply to product operations associate jobs?
You can find and apply to product operations associate jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your experience level and specialization, then apply directly to each listing that fits your background and the type of product org you want to join.
See All 56 Product Operations Associate Jobs
Find roles that match your experience and apply in just a few clicks.
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