Prospecting Coach in DatabookAI brings guided selling to the top of the funnel—turning account research, messaging, and outreach into an intelligent, personalized, and repeatable system that helps every seller prospect smarter, faster, and with purpose.
Sales productivity is collapsing, and most AI pilots aren’t fixing it. This white paper shows Sales Ops leaders how to avoid “AI toy” traps and use a guided selling platform to drive consistent execution, scale top-performer behaviors, and deliver measurable ROI.
Did you catch our recent webinar? See Databook's newest releases and what's coming next - complete with live demos.
Nobody’s got time to be a prompt engineer, and DatabookAI won’t expect you to be one. We designed the application to be intuitive and to proactively make suggestions—so you’re not always in the hot seat.
AI is rewriting the playbook for how enterprises drive revenue. At Databook, we’re not just adapting—we’re architecting the future of GTM. Here's a look at what's coming in the first half of 2025.
Can you trust your AI to deliver real, actionable insights—or is it just “hallucinating”? Discover how purpose-built AI can transform your sales approach, helping you close bigger, better deals by giving you the trusted insights you need.
See how DatabookAI stacks up against generic LLM chatbots in delivering accurate, high-quality account insights.
Check out this recap of our recent webinar, where industry leaders discussed how AI is revolutionizing sales with enhanced productivity, personalized interactions, and more.
Strategic sellers understand that the key to success in enterprise sales is simple: Don’t follow the old rules if you’re expecting a different result. Conventional processes naturally lead to conventional results, so if you want an exceptional outcome —like doubling your quota or making President’s Club, for example—you need...
Head of Sales
Jenn Junkin is the Head of Sales at Databook. With nearly two decades of sales experience in the tech industry, Jenn has navigated the evolving landscape from pre-IPO disruptors to global enterprise giants. She has held key individual contributor and leadership roles at companies including Yelp, Salesforce, ServiceNow, and Moveworks (acquired by ServiceNow), consistently leveraging the power of AI to drive innovation and deliver meaningful business outcomes for her clients.
Before joining Databook, Jenn led Sales, Business Development, and Demand Generation at Copy.ai (acquired by Fullcast), where she helped shape the go-to-market strategy that fueled rapid growth.
At Databook, Jenn brings her deep passion for the GTM space, particularly the intersection of AI, strategy, and sales excellence to help enterprise organizations transform how they connect with customers and drive revenue growth.
Head of Finance & Accounting
Fei Gao is the Head of Finance and Accounting at Databook, bringing extensive expertise in financial strategy, corporate accounting, and regulatory compliance. She has a strong background in both public accounting and private industry.
With a strong background in global finance, Fei leads the company’s financial planning, forecasting, and compliance efforts, ensuring operational efficiency and fiscal responsibility. Prior to joining Databook, she played a key role in managing multi states financial operations at SESH, overseeing tax strategies, and improving financial processes to support business scalability.
Fei is passionate about leveraging data-driven insights to drive strategic decision-making and foster cross-functional collaboration. Committed to operational excellence, she continues to support Databook’s mission by strengthening financial infrastructure and enabling sustainable growth.
Fei holds an active CPA license and an MBA from Concordia University Irvine.
Head of Marketing
With 20+ years in high-tech marketing, Sarah leads Databook’s marketing efforts, shaping product positioning, content strategy, and customer communications. She brings deep experience in storytelling, design thinking, and go-to-market execution—anchoring Databook’s brand in clarity, creativity, and results.
Sarah is passionate about building cross-functional collaboration across sales, product, customer success, and marketing. At Databook, she translates this passion into advancing a precision GTM organization—ensuring marketing efforts are tightly aligned to customer needs and enterprise value creation.
Sarah first partnered with Databook in 2020, working on messaging and thought leadership, before stepping into a full-time role in 2024. Previously, she founded and ran a marketing consultancy, which served clients like Udemy Business, VMware, Talend, and Jobvite. Earlier in her career, she held roles at TDA Group and Verifone focused on integrated content and communications.
Sarah holds a B.A. from Stanford University and lives in the DFW area. Outside of work, she’s a mom, crossword addict, curious learner, and die-hard (yet frequently disappointed) Dallas Cowboys fan.
Head of Applied AI
Frank is Head of Applied AI at Databook. Previous roles include CEO and co-founder of VM-X (ai infrastructure), CTO of Thru.ai (an agentic platform for Healthcare), and VP of Innovation & Strategy at Western Digital, where he led diverse teams of PMs and engineers. At Uplift (a Fintech company), Frank served as Chief Data Officer, where he helped scale the company from 20 to ~200 people across multiple domains. At McKinsey & Company, he was an Engagement Manager in the Silicon Valley Tech practice.
With a master’s in Physics and an MBA from Kellogg, Frank blends technical acumen with leadership finesse.
Head of People Operations
Natalie Novitskiy is the Head of People Operations at Databook, where our vision is to empower individuals to achieve their best work. In this role, she oversees all facets of HR, including talent acquisition and development, employee experience, and the company’s global strategy and compliance.
Prior to Databook she led People initiatives at Mantra Bio and earlier in her career served as the Head of People at Bluescape. Natalie holds a Bachelor of Science in Marketing from SJSU, is a certified Professional in Human Resources (PHR), and has studied Mediation and Conflict Resolution at UC Berkeley. She enjoys snowboarding and boxing and lives in the Bay Area.
Co-founder, Product
Alex Barrett is a Co-founder of Databook. Alex makes Databook’s customer-centric insights relevant and actionable for our users.
Previously, Alex worked as a freelance content strategist for clients including Accenture and the World Economic Forum. He also brings a decade of experience as a journalist, researching and producing television documentaries for the BBC.
Alex graduated in Modern Languages from Cambridge University.
CTO
Ivan Galea is the Chief Technology Officer, leading AI, Engineering, and Product Management. With a proven track record of partnering with C-suite executives and Boards of Directors, Ivan excels in unlocking and scaling business value through data and AI capabilities.
Ivan’s extensive experience spans high-growth environments across multiple industries, where he has consistently created innovative data products that bridge the gap between technical and business needs. His leadership encompasses AI/ML, analytics/data science, product management, and data engineering, with significant roles at Atlassian, Box, PayPal, and in Wall Street. He has also advised numerous tech startups.
Ivan holds a Ph.D. from Yale University, a Master’s Degree from the University of Pittsburgh, and a Bachelor’s Degree from the University of Malta.
Co-founder & CEO
Anand Shah is CEO and Co-founder of Databook. Anand brings to Databook more than 15 years of experience as an expert in consulting Fortune 500 CXOs on how companies drive top-line growth for the enterprise. Before founding Databook, Anand was an Engagement Partner at Accenture Strategy, leading their engagement with the World Economic Forum on Digital Transformation, and a global lead for Accenture’s Strategic Insights group.
Anand holds a dual-MBA from Columbia Business School and London Business School, a Master’s Degree in Finance from the University of Reading, and a Bachelor’s Degree in Computer Science from Imperial College London.
