Pre-Sales Research Expert – AI-Augmented Intelligence
Teleperformance
Yesterday
Job descriptions & requirements
ABOUT THE COMPANY
At Teleperformance, we provide industry-leading customer experiences and digitally powered business services for the world’s best brands. A globally diverse and inclusive company, we are a work family of more than 420,000 serving more than 170 countries and speaking 265 languages and dialects. We combine cutting-edge innovation with human understanding and empathy to deliver a comprehensive suite of best-of-breed services and end-to-end business solutions to integrate and optimize front-office customer support, back-office functions, and business operations. Our knowledge services portfolio applies Design Thinking and intelligent analytics to help companies optimize business processes and accelerate digital transformation. Because people and processes are the core of our business, we believe in hiring and nurturing top talent. Join our global network where the possibilities are endless, and everyone can make a difference. We are a socially responsible company that manages with a clear purpose and has been recognized in 2023 within the Top 5 of the World’s Best Workplace’s.
We are customer experience management experts.
JOB SUMMARY
The Pre-Sales Research Expert at Teleperformance EMEA will serve as a critical enabler for our pre-sales organization, leveraging advanced AI tools (including Claude, Gemini, ChatGPT, and emerging platforms) to deliver rapid, high-quality research and intelligence that accelerates deal cycles and improves win rates. Based in Kenya and supporting the broader EMEA region, this role sits at the intersection of cutting-edge AI capabilities and traditional business research, transforming how our pre-sales teams gather insights, analyze opportunities, and craft winning proposals. This internal-facing role works closely with Pre-Sales Consultants, Account Executives, and Solution Architects to provide on-demand research, competitive intelligence, industry analysis, and client insights that enable more informed client conversations and more compelling value propositions. The ideal candidate is an AI power-user who understands how to prompt, validate, and synthesize AI-generated content to produce actionable business intelligence across multiple industries, with particular depth in BFSI, E-Commerce, and Travel sectors.
RESPONSIBILITIES
AI-Augmented Research & Intelligence· Utilize advanced AI tools (Claude, Gemini, ChatGPT, Perplexity, and others) to conduct rapid, comprehensive research on target accounts, industries, competitors, and market trends· Develop and maintain a library of optimized prompts and research workflows that maximize AI tool effectiveness for common pre-sales research needs· Synthesize AI-generated insights with traditional research sources (industry reports, financial data, news, regulatory information) to deliver validated, accurate intelligence· Create standardized research deliverables (account profiles, competitive battlecards, industry briefings, regulatory summaries) that enable pre-sales teams to engage more effectively with prospects Pre-Sales Enablement & Support· Respond to ad-hoc research requests from Pre-Sales Consultants and Account Executives with speed and precision, typically within 24-48 hours· Conduct deep-dive research on target accounts prior to discovery sessions, identifying key business challenges, strategic priorities, technology landscape, and competitive positioning· Support proposal development by gathering relevant case studies, industry benchmarks, ROI data, and proof points that strengthen value propositions· Provide competitive intelligence and differentiation insights that help position Teleperformance solutions against key competitors Industry & Vertical Expertise· Maintain deep knowledge of BFSI (Banking, Financial Services, Insurance), E-Commerce, and Travel industries, including regulatory environments, operational challenges, and digital transformation trends· Monitor industry publications, earnings calls, regulatory changes, and market developments to proactively share relevant insights with pre-sales teams· Build and maintain industry-specific intelligence repositories that capture key trends, pain points, buying behaviors, and decision-making criteria· Develop sector-specific research frameworks and methodologies that improve research quality and consistency across opportunitiesRequirements· Minimum of 4-6 years of experience in business research, competitive intelligence, market analysis, or pre-sales support roles within BPO, consulting, technology, or professional services industries· Bachelor’s degree in business, Information Technology, Engineering, or a related field. An advanced degree (MBA, MS) is a plus.· Proven track record of supporting sales or pre-sales teams with high-quality research that influenced deal outcomes· Demonstrated experience working across multiple industries, with specific depth in BFSI (Banking, Financial Services, Insurance), E-Commerce, and/or Travel sectors· Experience working in or supporting EMEA markets, with understanding of regional business practices and regulatory environments· Expert-level proficiency with generative AI tools including Claude, ChatGPT, Gemini, Perplexity, and other LLM-based research platforms· Familiarity with business intelligence tools, CRM systems (Salesforce preferred), and collaboration platforms (Slack, Teams, SharePoint)· Comfort with data analysis and basic visualization tools (Excel, PowerBI, or similar) to present research findings clearly· Strong business acumen with ability to quickly understand client industries, business models, and strategic challenges· Excellent secondary research skills, including effective use of databases (LinkedIn Sales Navigator, ZoomInfo, industry-specific sources), financial reports, and regulatory filings We thank all applicants for their interest, however due to the large volume of applications we receive, only shortlisted candidates will be contacted.
REQUIRED SKILLS
Artificial intelligence (AI), AI Governance, Machine Learning (ML), Deep learning, Natural language processing (NLP), Data engineering
REQUIRED EDUCATION
Bachelor's degree
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