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Sr. Manager, Scaled Abuse & IP Ops at Poshmark
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am currently a Sr. Manager, Scaled Abuse & IP Ops at Poshmark, a leading social commerce marketplace. I was previously a Program Manager / Data Specialist for internal tools and spam on the Data Management team at Crunchbase. I have experience with Data Analysis using SQL, Internal Tool development, Content review, and Machine Learning Operations. I am proficient with most Microsoft tools such as Word, Excel, Power Point, and Google tools such as Docs, Sheets, and Slides.
Udacity
Data Analyst Nanodegree
January 1, 2019 – January 1, 2019
San José State University
Bachelor of Arts (B.A.), Philosophy (focus in pre-law) and Minor in Business
January 1, 2010 – January 1, 2015
Poshmark
Sr. Manager, Scaled Abuse & IP Ops
February 1, 2024 – Present
Poshmark
Manager, Scaled Abuse & IP Ops
July 1, 2023 – February 1, 2024
Poshmark
Manager, Content Integrity
December 1, 2020 – July 1, 2023
Crunchbase
Program Manager / Data Specialist, Data Management
February 1, 2019 – December 1, 2020
San Francisco Bay Area
Wish
Project Manager / Content Specialist, Data & Relevancy
September 1, 2017 – February 1, 2019
San Francisco, California
Rose International
Spam Analyst (at Facebook)
September 1, 2016 – September 1, 2017
Menlo Park, CA
Community Operations Analyst
March 1, 2016 – September 1, 2016
Palo Alto, CA
Certified ScrumMaster (CSM)
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on operations, project management, and trust & safety within tech companies. Their experience with data analysis and process improvement suggests an analytical and problem-solving mindset. The transition from a philosophy background to data analysis and then into operational management roles indicates adaptability and a drive for continuous learning. However, the direct alignment with a 'Quality Assurance Engineer' role, which often implies a more technical, coding-centric QA background, is not strong. The candidate's experience is more aligned with QA management or data quality roles rather than a hands-on engineering position. The lack of diverse technical projects or direct engineering experience might pose a cultural fit challenge for a purely engineering-focused QA team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project management, and analytical skills. Their experience in managing teams, developing processes, and collaborating cross-functionally indicates a good operational fit. The focus on data-driven decision-making and process improvement aligns well with operational excellence. However, the target role is Quality Assurance Engineer, which typically requires more hands-on technical QA skills (e.g., test automation, scripting, specific QA methodologies beyond auditing). While the candidate has experience in quality assurance audits and bug reporting, the depth of technical QA skills for an engineering role is not explicitly detailed.