[Remote] Product Support Engineer at YipitData

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Bachelor's degree in Computer Science, Information Technology, or related field
1-2 years of experience in software support, customer service, or related field
Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment
Proficiency in web development tools, such as browser dev tools, and SQL
Experience with data analysis and visualization tools, such as Jira, Intercom, or Mixpanel
Familiarity with cloud-based applications, such as SSO and entitlements
Excellent communication and customer service skills
Ability to work independently and as part of a team
Strong analytical and troubleshooting skills
Experience with Agile development methodologies and version control systems

Responsibilities

Monitor and resolve inbound tickets (Intercom/Jira) and on-app feedback
Troubleshoot methodically to isolate problems, using browser dev tools, logs, and basic SQL
Verify seat/domain settings, resolve "unentitled" states, and coordinate with admins to fix access misconfigurations
Run smoke tests after monthly data updates to validate key Signals metrics render and export correctly
Write and maintain user-facing help articles and internal playbooks
Collaborate with Application Engineering, Data Engineering, and Product teams to turn frontline insights into product improvements
Partner closely with Application Engineering, Data Engineering, and Product teams to resolve issues and improve the Signals web app
Participate in incident response and escalation based on runbooks
Contribute to knowledge base and runbooks to improve user experience and support
Stay up-to-date with new technologies, tools, and methodologies, and apply knowledge to improve support processes

Skills

YipitData

Data analysis and research services provider

About YipitData

YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.

New York City, New YorkHeadquarters

2013Year Founded

$561.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise Software, Financial ServicesIndustries

501-1,000Employees

Benefits

401(k) Company Match

Flexible Work Hours

Unlimited Paid Time Off

Parental Leave

Wellness Program

Professional Development Budget

Risks

Increased competition from AI-driven analytics platforms like ChatGPT.

Shift towards e-commerce may reduce demand for traditional market research services.

Inflation volatility could impact accuracy and demand for predictive analytics products.

Differentiation

YipitData specializes in alternative data, offering unique insights beyond traditional data sources.

The company provides custom reports tailored to specific business needs and sectors.

YipitData's subscription model ensures clients receive regular, detailed datasets and reports.

Upsides

Expansion into Europe and China opens new markets for localized data insights.

Carlyle Group's investment provides capital for technology and market expansion.

Focus on tracking inflation through alternative data offers a unique client value proposition.

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