
1 - 10 employees
Founded 2012
🤝 B2B
💸 Finance
🛍️ eCommerce
B2B • Finance • eCommerce
STS Capital is a Lithuanian consulting and financing company that helps businesses and public-sector clients secure funding, prepare grant applications and investment projects, and operates a financing platform and funding-call monitoring services. It also provides digital marketing and technical services such as SEO, Google/Meta Ads, analytics, e‑commerce solutions, and advisory support for AI and technology-related projects.
🕒 May 23
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1 - 10 employees
Founded 2012
🤝 B2B
💸 Finance
🛍️ eCommerce
B2B • Finance • eCommerce
STS Capital is a Lithuanian consulting and financing company that helps businesses and public-sector clients secure funding, prepare grant applications and investment projects, and operates a financing platform and funding-call monitoring services. It also provides digital marketing and technical services such as SEO, Google/Meta Ads, analytics, e‑commerce solutions, and advisory support for AI and technology-related projects.
• Lead a comprehensive review of the firm’s existing technology stack. • Map and analyze workflows across the M&A transaction process, identifying opportunities for automation and optimization. • Design and deploy AI-powered solutions to streamline data collection, financial analysis, due diligence, market research, document automation, and client communications. • Collaborate with leadership, deal teams, and IT to design pilots, proofs of concept, and enterprise-scale rollouts. • Establish metrics to measure technology adoption, AI impact, and ROI across deal execution. • Define and enforce data governance, privacy, and security protocols, including compliance with GDPR, POPIA, and other relevant regulations. • Safeguard sensitive client data by ensuring best-in-class cybersecurity practices and responsible AI use.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related field. • Experience applying AI, machine learning, or technology-driven process improvements in a business context (ideally within financial services, M&A, or professional services). • Strong understanding of mid-market M&A transaction processes and common technology stacks. • Hands-on exposure to AI and automation tools such as natural language processing (NLP), robotic process automation (RPA), machine learning platforms, and data analytics software. • Proven track record of assessing business needs, implementing technology solutions, and delivering measurable improvements.
• Deliver regular reporting and recommendations to leadership on technology performance and business impact. • Provide training and support to drive adoption of AI and core platforms across the firm. • Manage vendor relationships for third-party technology and AI solutions, ensuring seamless integration with internal systems. • Stay ahead of emerging AI trends, regulations, and best practices in financial advisory and professional services.
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