Enterprise Account Executive

Senior Account Executive

At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.

Join a Company that is Powering the Future of Finance with AI

RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents.

Key Responsibilities

• Enterprise Sales Execution: Drive full-cycle, consultative sales processes, from prospecting to close, targeting enterprise financial institutions across the Americas.
• Strategic Account Growth: Build and manage long-term relationships with key stakeholders across buy-side and sell-side institutions.
• Solution Selling: Understand and position complex financial SaaS and API-based offerings as integrated solutions to client problems, not just products.
• Cross-Functional Collaboration: Work closely with internal teams to align on product roadmap, feedback loops, and go-to-market strategies.
• Forecasting & Pipeline Management: Use CRM and sales tools to maintain accurate records, forecast revenue, and report on progress.
• Pricing & Negotiation: Lead pricing discussions and contract negotiations with a strategic mindset and long-term value orientation.
• Thought Leadership: Represent RavenPack at key industry events and client briefings as a trusted advisor and expert in financial AI solutions.

What You Bring

• 7–15 years of enterprise sales experience selling into financial services (asset management, hedge funds, banks).
• Proven track record of exceeding $1M+ annual quotas and successfully managing complex sales cycles (6–12+ months).
• Deep familiarity with solution selling or consultative sales models.
• Experience selling SaaS, APIs, platforms, or enterprise data solutions to technical and business decision-makers.
• Strong domain knowledge of financial markets, data infrastructure, and client workflows.
• Exceptional communication and executive presence with the ability to influence C-level stakeholders.
• Comfortable selling to both technical (e.g., CTO, engineers, product specialists, quant teams) and commercial (e.g., CIO, CFO, CEO, and Portfolio Manager) buyers.
• Bachelor's degree in Business, Finance, Computer Science, Mathematics, or related field.

Preferred

• Prior experience in a fast-paced startup or scale-up environment.
• Exposure to channel partnerships or managed service provider networks.
• Advanced degree (MBA, CFA) is a plus.

What's in it for You?

• Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance.
• International Culture: Be part of a diverse, global organization with a truly international culture.
• Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans.
• Work-Life Balance: Enjoy paid vacation, flexible time-off, and a flexible work policy.
• Benefits: Access to healthcare insurance and a 401K plan.
• Hybrid work arrangement
• Equal Opportunity Employer: We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.