
Job Description
Forward Deployed Engineer / Sales Engineer
Location: Mountain View, CA — On-site
About Granica
Granica builds AI infrastructure for enterprises operating massive data environments.
Our platform helps data and engineering teams reduce storage and compute costs, improve performance and reliability, and prepare large datasets for analytics and AI.
Granica’s products include:
Crunch — continuous optimization for enterprise lakehouse data
Myelin — stateful infrastructure for long-running AI agents
Large Tabular Models — foundation models designed for enterprise tables
Together, we are building the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.
Granica has demonstrated approximately $200K in annualized value per petabyte and verified customer value within weeks.
About the Role
Granica is hiring a Forward Deployed Engineer / Sales Engineer to lead technical engagements with enterprise customers from initial discovery through evaluation and deployment.
You will work directly with data platform teams, engineers, architects, and technical executives to understand their environments, identify high-value use cases, design proofs of value, and demonstrate measurable technical and economic impact.
This is a hands-on role for someone who can operate across customer engineering, technical sales, product, and engineering.
What You’ll Do
Lead technical discovery with enterprise data, infrastructure, and AI teams
Understand customer architecture, workloads, constraints, and business priorities
Design and execute proofs of value with clear success criteria
Deploy and configure Granica in complex customer environments
Analyze data-platform performance, reliability, and infrastructure costs
Troubleshoot issues across data, compute, permissions, networking, and integrations
Partner with Account Executives throughout complex enterprise sales cycles
Present technical findings and business value to engineering and executive stakeholders
Translate customer feedback into product and engineering priorities
Build repeatable technical playbooks and evaluation frameworks
What We’re Looking For
5+ years in Sales Engineering, Solutions Architecture, Forward Deployed Engineering, Data Engineering, or a similar technical customer-facing role
Strong knowledge of modern data platforms, distributed systems, and cloud infrastructure
Hands-on experience with Spark, Iceberg, Delta Lake, Trino, Presto, or comparable systems
Proficiency in SQL and at least one programming language
Experience leading enterprise technical evaluations, proofs of concept, or deployments
Strong troubleshooting and customer communication skills
High ownership and comfort operating in a fast-moving startup
Ability to travel to customer locations when required
Why Join Granica
Work on foundational infrastructure for enterprise data and AI
Partner directly with customers, company leadership, Product, and Engineering
Help define Granica’s technical GTM motion and Forward Deployed Engineering function
Join an early-stage team solving high-value infrastructure problems at massive scale
Have direct influence on product direction, customer outcomes, and company growth
Compensation & Benefits
Competitive salary, meaningful equity, and performance bonus for top performers
401(k) with company match, comprehensive health coverage, and unlimited PTO
Daily catered meals in our Mountain View office
Support for research, publication, and conference participation
At Granica, you'll help build the next generation of enterprise AI—from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.
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Job Details
- Category
- Sales & Marketing
- Employment Type
- Full Time
- Location
- San Francisco Bay Area, US
- Posted
- Compensation
- $160,000 - $220,000 per year
About Granica
Granica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we’re building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in.
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