Mobile software QA and engineering services for enterprise clients
JND Inc. is a mobile software quality assurance and engineering firm founded in 2010, operating from Dallas with 51–200 employees. The tech stack reveals a split focus: design and creative tools (Adobe suite, Figma, Sketch) dominate alongside enterprise analytics (Tableau, Looker, Snowflake, SAP) and business operations software (Salesforce, Workday). Current hiring is heavily weighted toward marketing (8 roles) and ops, suggesting a shift toward scaling go-to-market and internal process efficiency rather than engineering capacity.
JND Inc. provides quality assurance, mobile engineering, and IT outsourcing services to enterprise clients navigating software development and deployment. The company has built expertise across mobile platforms (Android, iOS) and quality management practices, supported by testing tools like Wireshark and field-testing methodologies. Active projects span digital merchandising strategy, marketing campaign tracking systems, ecommerce profitability analysis, and dashboard automation — indicating clients in retail and consumer electronics. Pain points center on conversion optimization, UX, campaign tracking, and real-time performance visibility, reflecting the operational maturity demands of mid-market to enterprise customers.
JND uses Adobe Analytics, Figma, Tableau, Salesforce, Snowflake, SAP, Power BI, Jira, Android, iOS, Python, Wireshark, and Workday across design, analytics, ERP, and business operations.
JND Inc is headquartered in Dallas, Texas and was founded in 2010. It remains privately held with 51–200 employees and currently hires exclusively in the United States.
JND Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.