Enterprise Account Executive - remote, US, Canada

About Granica

Granica is an AI research and infrastructure company focused on reliable, steerable representations for enterprise data.

We earn trust through Crunch
, a policy-driven health layer that keeps large tabular datasets efficient, reliable, and reversible. On this foundation, we’re building Large Tabular Models
—systems that learn cross-column and relational structure to deliver trustworthy answers and automation with built-in provenance and governance.

BUILDING BETTER DATA FOR BETTER AI

Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information is transformed into usable intelligence.

We make data efficient, safe, and ready for scale. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling:

• 60%+ reduction in storage costs and up to 60% lower compute spend
• 3x faster data processing
• 20% platform efficiency gains

Why It Matters

Massive data should fuel innovation, not drain budgets. We attack the hidden bottleneck of every AI and analytics stack therefore making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills.

Who We Are

• Elite researchers in compression, information theory, and data systems
• Proven engineers from Pure Storage, Cohesity, Google and top cloud teams
• Backed by $65M+ from Bain Capital Ventures, A
  * Capital, and leaders behind Okta, Eventbrite, Tesla, and Databricks

WHAT YOU'LL DO

As an Enterprise Account Executive, you’ll be responsible for landing and expanding strategic accounts across North America, focusing on organizations managing massive cloud data estates. You’ll lead high-impact, multi-stakeholder sales cycles from first contact through close, expansion and renewal, acting as a trusted advisor to data and engineering leaders at the world’s most innovative companies.

• Own the full sales cycle for enterprise and upper-mid market accounts across North America.
• Engage VP and C-level stakeholders in data, infrastructure, and engineering teams with a consultative, value-based approach.
• Drive rigorous PoCs across modern data stacks, including Snowflake, Databricks Lakehouse, S3/GCS/ADLS data lakes, Iceberg/Delta Lake/Hudi, Trino/Presto, Big Query, Redshift, and Spark.
• Navigate complex enterprise sales processes involving security, compliance, procurement, legal, and finance stakeholders.
• Collaborate with Forward Deployed Engineers to scope architectures and integrate seamlessly into the customer’s existing infrastructure.
• Build and execute strategic account plans to land, expand, and renew multi-year, high-value deals.

WHAT WE'RE LOOKING FOR

• 6+ years of quota-carrying enterprise SaaS or data infrastructure sales experience in North America, with a strong track record of exceeding goals.
• Proven success selling to Fortune 1000 data and engineering teams, ideally at companies like Snowflake, Databricks, Google Cloud, AWS, Confluent, or similar.
• Deep familiarity with modern data architecture and Fin Ops—including technologies like Apache Iceberg, Delta Lake, Spark, Trino, and cloud-native data lakes.
• Deep understanding and ability to articulate the value of Granica’s AI-native platform—particularly around data compression, cost-optimization, and data curation for AI workloads.
• Strong executive presence and ability to build business cases that quantify ROI—especially around storage and compute savings.
• A network of VP+ level data and engineering leaders in tech-forward verticals (AI/ML, fintech, healthtech, gaming, etc.) is a plus.
• Highly structured sales approach with strong commercial instincts and the ability to manage complex technical and business conversations.
• Based in the San Francisco Bay Area or able to travel to customers in the region as needed.

WHY JOIN US

At Granica, you won’t just be selling a product — you’ll be shaping the future of AI infrastructure and will be join at the ground floor. We're solving one of the biggest pain points: making data cheaper, safer, and ready for scale.

This is a rare opportunity to join a company that:

• Has clear product-market fit and real traction
• Is backed by top-tier…