Confisa International Group

• Source candidates using LinkedIn, Boolean searches, AI tools, Apollo, Google, GitHub, portfolios, social media, and alternative sourcing channels • Support executive search and recruiting projects across multiple international markets and industries • Use ChatGPT, Claude, Gemini, AI workflows, and automation tools to improve sourcing, outreach, research, reporting, and operational efficiency • Help design and improve AI-assisted sourcing, recruiting, and operational workflows • Assist with candidate outreach, invitation campaigns, follow-ups, and pipeline engagement • Build and maintain candidate pipelines, ATS/CRM systems, and talent databases • Assist with job posting creation, posting management, and candidate tracking across multiple recruiting platforms • Conduct market mapping, competitor analysis, and talent intelligence research • Support AI-driven recruiting initiatives and scalable recruiting systems • Assist with reporting, workflow organization, documentation, and operational coordination • Support business development initiatives, lead research, and client intelligence projects • Contribute to international projects, recruiting operations, and strategic growth initiatives • Identify opportunities to automate repetitive recruiting and research tasks using AI tools • Continuously learn emerging AI technologies, recruiting methodologies, sourcing strategies, and automation systems

• Develop and maintain server-side logic, databases, and APIs that support OTT platforms and applications.

• Design, develop, and maintain efficient, accessible user interfaces aligned with the defined user experience for the company’s OTT products and applications.

• Develop and maintain apps in React Native. • Implement cross-platform solutions with React Native. • Implement specific features in native code (Kotlin/Java and Swift). • Optimize performance and resource consumption. • Integrate APIs and external services. • Participate in technical decisions and best practices for mobile architecture. • Conduct code reviews and ensure quality standards. • Collaborate with Backend, Product, Design, and QA teams. • Manage releases and updates on the App Store and Google Play.

• As a Regional Sales Manager, responsible for driving sales growth and achieving revenue targets within the United States. • Establish various management level connects (including C-level) and facilitate/accelerate digital energy solution leadership. • Lead sales strategy & execution, focusing on large-scale opportunities with electric utility companies. • Function as a trusted energy consultant for large electric utility companies. • Lead proposal preparation and submission for large-scale energy projects. • Build and cultivate long-term relationships with C-suite executives.

• Responsible for selling software Generative AI solutions & services in GBS - Engineering & Applications Space (Data, AI & Generative AI) • Experience in all facets of business development from generating leads to closing. • Responsible for coordinating sales efforts across a cross-functional team mapping and interacting with CTOs, CIOs, Chief Digital Officers, Engineering Heads, Functional Heads & Directors in the Applications & Engineering space. • Build credible and lasting relationships with prospects and customers for repeat business. • Collaborate with other BU sales teams (Account Managers, BDMs) to cross-sell Generative AI offerings into existing accounts of company or new opportunities. • Delivering sales revenue (recognized and collected) as per assigned quota quarterly. • Maintain contact and opportunity information completely, accurately and in a timely manner. • Prospect to establish new accounts or extend business in existing accounts. • Attend and represent various business and industry meetings and trade shows. • Have a comprehensive channel strategy/multipoint lead generation. • Work with Alliance Partner’s field team to create relationship and generate leads • Leverage all available networks and alliances to uncover additional sales opportunities. • Set customer expectations consistent with service offerings and delivery potential. • MUST meet and/or exceed quarterly targets set. • Accurately forecast business deals to be closed. • Leverage other Business Unit BDMs to achieve the targets. • Delivering new business that encompasses all service offerings.

• Manage the entire sales process, including prospecting, qualifying, proposing, negotiating, and closing PDES opportunities. • Cultivate credible, long-term relationships with prospects and customers to encourage repeat business. • Achieve and exceed assigned quarterly sales revenue targets (recognized and collected). • Maintain comprehensive, accurate, and timely records of contact and opportunity information. • Identify and develop new accounts while expanding business within existing accounts. • Attend and represent the company at various business and industry meetings, conferences and trade shows. • Implement a comprehensive channel and partner strategy with multipoint lead generation to maximize outreach. • Leverage existing networks and alliances to uncover additional sales opportunities. • Set customer expectations consistent with Happiest Minds’ service offerings and delivery capabilities.

• Design graduate- and research-level evaluation questions grounded in hardware and computer engineering domains • Create tasks that require precise, step-by-step technical reasoning with verifiable ground-truth answers • Develop multimodal prompts when appropriate • Evaluate AI models on hardware- and systems-heavy reasoning tasks • Identify and document model failure modes • Provide authoritative solutions for each evaluation task • Maintain detailed records of prompts, expected answers, and outcomes

• Evaluate LLM models for areas of finance where models do not perform well. • Leverage your experience in finance to help AI learn about how to build models, conduct financial analyses, etc. • Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more). • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.