Account Executive - DataPelago
Lead the Revolution in AI Data Processing - The AI race is won in the first mile, not the last. And you'll be selling the breakthrough technology that wins it.
The Opportunity
This isn't just another enterprise sales role—this is your chance to drive revenue for technology that's reshaping how the world processes data for AI. As an Account Executive at DataPelago, you'll be selling breakthrough products and the platform that eliminates the data processing bottlenecks in AI. You'll join a team led by executives who've created 500+ patents and built multi-billion-dollar businesses. You're not just selling software; you're selling the future of AI-scale data processing.
The data processing market is measured in the billions. Analytics & AI demand is exploding. We have the technology that solves its core bottleneck. You'll be selling into the perfect storm of market opportunity.
Key Responsibilities
Sales Cycle Management: Own the entire sales process from initial outreach, pipeline development, to closing deals that matter. Includes prospecting, qualifying leads, and managing negotiations to achieve sales targets.
Customer Engagement & Executive Communication: Build and maintain strong relationships with clients, understanding their business challenges and articulating how DataPelago delivers business and technical value. Craft and deliver compelling, executive-ready narratives to influence C-level stakeholders and close business.
Territory and Account Planning: Develop and execute strategic territory plans that maximize value. Map opportunities, identify high-impact use cases, and turn prospects into customers who can't imagine operating without us.
Cross-Functional Collaboration: Work with internal teams (solutions architects, marketing, and product teams) and external partners (Google, AWS and SIs) to build pipeline and co-sell solutions that win. Navigate complex, high-value enterprise deals with confidence.
Pipeline Management: Track customer details, projects, purchase timelines, and forecasting to ensure full visibility into the sales pipeline. Maintain meticulous tracking that leadership can count on.
Market Expansion: Focus on acquiring new logos (customers) and growing usage within existing accounts.
Required Qualifications and Skills
- 5+ years
of field sales experience in data, analytics, OSS-based analytics product/SaaS/PaaS with a proven track record of closing high-value deals. Experience with Google Dataproc/Spark and AWS EMR Spark is ideal. - Understanding of data analytics, AI, and Google/AWS cloud ecosystems. You speak the language of modern data infrastructure.
- Familiarity with sales methodologies (territory planning, value selling) and the ability to compress decision cycles and close business.
- Ability to switch between technical and business personas, translating complex technical concepts into compelling business value propositions for diverse stakeholders.
- Comfortable discussing technical products in-depth and collaborating with technical teams to address customer needs. You're comfortable diving deep into technical discussions while seamlessly switching to business contexts.
- Ability to thrive in a fast-paced, innovative environment. Ambiguity energizes you, and you turn challenges into opportunities.
Ready to Accelerate Your Career?
If you're ready to sell technology that doesn't exist anywhere else, work with industry legends, and build a career-defining track record, we want to hear from you. Reach us at [email protected]
Top Skills
What We Do
DataPelago is redefining how enterprises process data for AI and analytics at scale. As organizations race to operationalize artificial intelligence, they are discovering that the greatest barrier to progress isn’t a lack of models or talent – it’s the infrastructure beneath them. Data pipelines remain fragmented across specialized systems for analytics, AI, and data engineering, each optimized for specific workloads but incapable of operating as a cohesive whole. The result is inefficiency: duplicated data, stranded compute resources, and escalating costs that slow innovation.
DataPelago was founded to solve this challenge. Its flagship product, Nucleus, is the world’s first Universal Data Processing Engine (UDPE) – a new layer that sits between data lakes and query engines to unify data processing within a single, hardware-aware stack. Built from first principles for accelerated computing, Nucleus allows companies to process, move, and activate their data orders of magnitude more efficiently than existing systems.
At its core, Nucleus dynamically orchestrates workloads across heterogeneous compute environments – CPUs, GPUs, TPUs, and FPGAs – ensuring every job runs on the optimal hardware for maximum performance and efficiency. This unified approach eliminates the need to maintain separate infrastructure for different data workloads, dramatically reducing complexity and total cost of ownership by up to 40%.
Nucleus supports structured, unstructured, and semi-structured data in a single environment, enabling AI and analytics workloads to coexist seamlessly. It integrates easily with existing data ecosystems and open-source frameworks, providing enterprises with flexibility and performance without requiring code changes or proprietary lock-in.
With Nucleus, data teams can accelerate queries, streamline pipelines, and scale AI initiatives faster, all while controlling infrastructure spend. Early adopters across industries are leveraging the platform to speed up data preparation, model training, and real-time analytics by up to 10x, turning data from a bottleneck into a competitive advantage.
DataPelago’s mission is to make high-performance, cost-efficient data processing achievable for every enterprise. By bridging the gap between data infrastructure and AI innovation, the company is helping organizations unlock the full potential of their data, laying the foundation for a new era of intelligence at scale.
Why Work With Us
DataPelago is pioneering the world’s first Universal Data Processing Engine, unifying AI and analytics in a single, hardware-aware platform. We’re solving one of the biggest challenges in enterprise AI – making data infrastructure faster, simpler, and more efficient. Join us to build the foundation for the next era of intelligent computing.
Gallery
.png)
