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Job Overview
Location
Remote
Job Type
Full-time
Category
Data Science
Date Posted
October 9, 2025
Full Job Description
đź“‹ Description
- • Own the frontline of our Signals platform: you’ll be the first responder for every enterprise customer issue, triaging tickets in Zendesk/Jira, reproducing bugs across SSO login flows, entitlements, search/screeners, charts, CSV exports, and data-update pipelines—then driving each case to resolution or escalation within SLA.
- • Become the human bridge between users and our product: translate complex technical problems into clear reproduction steps for Application Engineering, Data Engineering, and Product teams, while translating fixes and work-arounds back into plain-English guidance that restores customer confidence.
- • Instrument and monitor reliability: build lightweight dashboards in Datadog/Looker to track error rates, latency, and data freshness; set proactive alerts so we spot issues before clients do and publish weekly reliability scorecards to internal stakeholders.
- • Turn support insights into product gold: tag and quantify recurring pain points, then champion quick-win fixes and longer-term roadmap items in sprint planning—expect to see your suggestions shipped within weeks, not quarters.
- • Craft best-in-class documentation: maintain runbooks, FAQ articles, and release notes that slash ticket volume and empower customers to self-serve; measure success by a declining “how-to” ticket ratio month-over-month.
- • Partner with Customer Success and Sales: join QBRs to present root-cause analyses, demonstrate new self-service features, and ensure renewals and upsells are never derailed by unresolved issues.
- • Own the release QA cycle: write and execute regression test plans for every Signals deploy, catching edge-case bugs before they reach production and documenting new test cases for the automated suite.
- • Champion the customer voice in sprint retros: bring quantitative ticket data and qualitative user stories to engineering retros, ensuring product decisions are grounded in real-world impact.
- • Scale yourself through automation: script repetitive diagnostics (SQL queries, API checks, log parsing) in Python or Bash so you can focus on higher-leverage work as our user base 10×s.
- • Maintain enterprise-grade security posture: handle sensitive SSO tokens, manage role-based access controls, and coordinate SOC-2 evidence collection during audits.
- • Foster a culture of customer obsession: mentor junior teammates, run weekly “support clinic” sessions, and celebrate customer shout-outs in Slack to keep the entire company laser-focused on user delight.
Skills & Technologies
About YipitData, Inc.
YipitData provides alternative data and market research to institutional investors, corporations and consultancies. By aggregating and analyzing billions of data points from e-commerce receipts, web traffic, app usage, pricing and other digital signals, the company delivers granular, real-time insights on company performance and industry trends. Clients use the platform to validate investment theses, monitor competitive dynamics and forecast revenue across sectors including consumer, technology, travel and marketplaces. Founded in 2013 and headquartered in New York City, YipitData serves hedge funds, private equity firms and Fortune 500 corporate strategy teams worldwide.
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