Senior, Content Operations

Air

$90K — $120K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship required
  • 3+ years in content operations or similar roles
  • 1-3 years leading analysts or QA teams, preferably offshore
  • Experience managing high-volume validation with tight SLAs
  • Proficient in SQL and Python for data manipulation
  • Skilled in identifying root causes and reducing data rework
  • Strong judgment and attention to detail in data validation

Responsibilities

  • Lead and manage two offshore teams, overseeing daily workflows and assignments
  • Ensure timely delivery of quality assurance and validation checks
  • Prioritize workloads and escalate risks to the Content Analyst Manager
  • Document issues and resolutions to enhance future execution
  • Maintain and improve QA guidelines and standard operating procedures
  • Track performance metrics and lead calibration routines
  • Support coaching and skill development of team members

Benefits

  • Opportunity to work in a dynamic, cross-functional team
  • Engagement in meaningful projects impacting global security
  • Flexible work arrangements
  • Exposure to high-volume data operations and processes
  • Potential for professional growth in a fast-paced environment
Full Job Description
We are seeking an exceptional and experienced Senior Content Operations team member, a role for someone who shares our passion and obsession with quality. You will be a core member of our Product and Engineering team dedicated to helping our clients replace time-consuming, manual processes to achieve informed, real-time decisions about government markets, competitors, and agency relationships. The ideal candidate is a hands-on analyst with large dataset experience. You must also possess strong interpersonal skills to work cross-functionally across internal teams and with Air platform Subject Matter Experts (SMEs). You will support the Content Analyst Manager in overseeing two offshore teams across split shifts, ensuring the delivery of high-quality, fast-turn validation and QA. This role involves assisting with day-to-day team management, workload prioritization, and performance support while maintaining high-confidence accuracy across every data point. You will own feedback loops and process improvements-leveraging technical skills to reduce rework, improve scalability, and strengthen overall execution-while reporting progress, risks, and outcomes directly to the Content Analyst Manager. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities The Senior Team member you will manage and provide leadership for two offshore teams, overseeing daily workflow, assignments, prioritization, throughput, and SLA delivery. This includes consistent coaching (calibrations, feedback, 1:1s/lead check-ins) to maintain morale and accountability across different cultures and hours, as well as escalating risks, resourcing gaps, and performance concerns to the Content Analyst Manager. The role also involves overseeing manual QA and validation, especially for high-volume checks with quick turnaround. Key responsibilities include triaging requests, prioritizing workloads, meeting SLAs, establishing feedback loops to reduce errors and improve accuracy, and documenting issues and resolutions to enhance future execution. Daily/weekly status updates on volume, trends, and blockers are required. Further responsibilities encompass maintaining and improving SOPs, QA guidelines, and validation standards; tracking key performance metrics and risks; leading calibration and review routines; and supporting performance coaching and skill development. Qualifications 3. U.S. Citizenship is required3 Required Skills: 33+ years of experience in content operations, data operations, research operations, data QA/validation, or similar roles supporting structured data workflows3 31-3+ years experience leading analysts or data QA teams (including offshore and/or shift-based coverage preferred)3 3Proven ability to manage high-volume validation work with tight SLAs, competing priorities, and frequent context switching3 3SQL and Python experience3 3Experience working with structured datasets, logs, and validation outputs to identify root causes and reduce rework3 3Familiarity with data QA concepts (sampling methods, error categorization, trend tracking, and continuous improvement loops).3 3Demonstrated success in coaching teams, improving performance, and maintaining high-quality standards3 3Strong judgment and attention to detail when validating complex relationships and resolving ambiguous cases3 3Excellent written communication - able to document decisions with clear reasoning and auditable source support3 3Ability to prioritize, triage, and execute quickly while maintaining consistent quality3 3Strong stakeholder communication skills and the ability to coordinate across multiple workstreams3 3Comfortable operating in a "supporting leader" capacity and reporting outcomes, blockers, and risks upward3 Desired Skills: 3Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship3 3Experience in or exposure to the nuances of a startup or other entrepreneurial environment3 3Ability to translate operational problems into simple technical solutions (query-based checks, automated sampling, error flagging, process instrumentation)3 We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.

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