Enterprise Account Executive

Reposted 6 Days Ago
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Mountain View, CA
In-Office
280K-340K Annually
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
Better Data for Better AI
The Role
Design and implement algorithms for data optimization at scale, creating efficient systems for data processing and cost reduction.
Summary Generated by Built In

Granica is an AI research and systems company building the infrastructure for a new kind of intelligence: one that is structured, efficient, and deeply integrated with data.

Our systems operate at exabyte scale, processing petabytes of data each day for some of the world’s most prominent enterprises in finance, technology, and industry. These systems are already making a measurable difference in how global organizations use data to deploy AI safely and efficiently.

We believe that the next generation of enterprise AI will not come from larger models but from more efficient data systems. By advancing the frontier of how data is represented, stored, and transformed, we aim to make large-scale intelligence creation sustainable and adaptive.

Our long-term vision is Efficient Intelligence: AI that learns using fewer resources, generalizes from less data, and reasons through structure rather than scale. To reach that, we are first building the Foundational Data Systems that make structured AI possible.

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, BigQuery, 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 FinOps—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 investors and visionary operators from Okta, Databricks, Tesla, and more

  • Has tons of whitespace, greenfield territory and executive-level access

  • Moves fast, values autonomy, and supports high-impact builders

BENEFITS

  • Highly competitive compensation with uncapped commissions and meaningful equity

  • Premium health, dental, and vision coverage

  • Flexible remote work and unlimited PTO

  • Quarterly recharge days and annual team off-sites

  • Budget for learning, development, and conferences

Equal Opportunity

Granica is an equal opportunity employer. We’re committed to building a team that represents diverse backgrounds, perspectives, and experiences. We encourage candidates from all walks of life to apply.

Why Granica
  • Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale.

  • AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence.

  • Real Ownership. Design primitives that will underpin the next decade of AI infrastructure.

  • High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission.

  • Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle.

Compensation & Benefits
  • Competitive salary, meaningful equity, and substantial bonus for top performers

  • Flexible time off plus comprehensive health coverage for you and your family

  • Support for research, publication, and deep technical exploration

Join us to build the foundational data systems that power the future of enterprise AI.
At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring.

Top Skills

Databricks
Python
Rust
Snowflake
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The Company
HQ: Mountain View, California
37 Employees
Year Founded: 2023

What We Do

Massive-scale data should be an asset — not a liability.

At Granica, we’re building a state-of-the-art AI efficiency, data optimization and compression platform designed to make cloud-scale data cheaper, faster, safer and more intelligent.

As enterprises generate and store unprecedented volumes of data, traditional infrastructure can’t keep up — costs explode, performance lags, and privacy becomes harder to enforce. Granica changes that. We sit beneath the lakehouse — optimizing the data itself through advanced lossless compression, intelligent data selection, and built-in privacy preservation. Our platform enables enterprises to cut cloud data costs by up to 80% while improving performance and reducing operational complexity.

This is deep infrastructure — already deployed in live production environments, operating across hundreds of petabytes of enterprise data.

Why Work With Us

We’re a tight-knit team combining -->

* Fundamental research in compression, data systems, and information theory
* World-class systems engineering across storage, cloud infrastructure, and security
* A shared obsession with performance, scale, and clean design

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Granica Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
HQMountain View, California
India
Learn more

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