
1001 - 5000 employees
Founded 2015
🤝 B2B
☁️ SaaS
💰 Private Equity Round on 2021-02
B2B • SaaS
SupportNinja is a company that provides customizable and agile outsourcing solutions to help businesses scale and achieve key business outcomes. They specialize in areas like customer experience, customer support, technical support, content moderation, data processing, and finance & accounting. Utilizing AI-enabled solutions, SupportNinja aids over 200 companies in optimizing operations and achieving growth without the burden of extensive headcount increases. Their services focus on flexibility and responsiveness, ensuring tailored solutions that fit the unique needs of each client.
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1001 - 5000 employees
Founded 2015
🤝 B2B
☁️ SaaS
💰 Private Equity Round on 2021-02
B2B • SaaS
SupportNinja is a company that provides customizable and agile outsourcing solutions to help businesses scale and achieve key business outcomes. They specialize in areas like customer experience, customer support, technical support, content moderation, data processing, and finance & accounting. Utilizing AI-enabled solutions, SupportNinja aids over 200 companies in optimizing operations and achieving growth without the burden of extensive headcount increases. Their services focus on flexibility and responsiveness, ensuring tailored solutions that fit the unique needs of each client.
• Support AI enablement initiatives by working across business and technical teams to understand current processes, tooling, data flows, and operational requirements • Document workflows and assess readiness for AI adoption • Work closely with stakeholders across business, engineering, security, compliance, legal, and operations teams • Gather and document business, operational, functional, and security requirements related to AI initiatives and tooling • Document current-state workflows and end-to-end processes across departments • Map systems, data sources, ownership, access permissions, and data flows • Identify process pain points, dependencies, operational constraints, and inefficiencies • Conduct gap analysis across existing processes, tooling, and workflows • Identify data readiness gaps including data access, governance, quality and ownership • Support prioritization of findings, dependencies, and recommendations for AI enablement • Solicit and readily accept constructive feedback • Demonstrate close attention to detail and thorough review of one’s work with a focus on quality • Understand the value of workflows, efficiency, and accuracy when processing repetitive operational tasks with high accountability • Be solutions-focused, viewing challenges as an opportunity to resolve problems and work through them • Exhaust available resources and materials to resolve issues but know how to seek consultation from peers and seniors when needed • Exhibit good stakeholder management, ensuring client expectations are set and able to recalibrate when necessary • Express ideas and suggestions in support of the team’s success • See tasks through to completion and offer support as needed • Communicate clearly and effectively with customers, leadership, and client contacts • Collaborate closely with team leader/manager regarding issues or concerns with daily tasks and activities
• 4-year college degree or equivalent business experience • At least 2+ years of experience in Business Analysis, Process Improvement ,Project Management and Data Analysis • Good written and oral communication skills in English • Requirements gathering and documentation • Process mapping and workflow analysis • Gap analysis and root cause analysis • Business process improvement • User story and use case creation • User Acceptance Testing (UAT) • Stakeholder management • Understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts • Knowledge of Generative AI tools (e.g., ChatGPT, Copilot, Gemini) • Ability to identify business processes suitable for AI and automation • Prompt engineering and AI workflow design • Understanding of AI risks, governance, and ethical considerations • Basic understanding of databases and cloud platforms
• Competitive compensation • Adherence to government-mandated benefits • Retirement Savings Program with Company Matching • Life Insurance • HMO on day 1 • Paid time off, birthday leave • Bonus and incentive plans • Opportunities for skills training and personal and professional development • Employee Referral Program
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