Forward Deployed Engineer

Location: Mountain View, CA — On-site

About Granica

Granica is building the efficiency and intelligence layer for enterprise AI .

Enterprises already operate enormous proprietary data estates and increasingly build AI systems on top of them, but the underlying infrastructure remains fragmented, expensive, and inefficient.

Granica is building across three related layers:

Crunch — efficiency for enterprise data

Large Tabular Models — intelligence for enterprise structured data

Myelin — efficiency for stateful, long-running AI agents

Crunch continuously optimizes large enterprise lakehouse environments across technologies such as Apache Spark, Iceberg, Delta Lake, Parquet, Snowflake, and Databricks — reducing storage and compute cost while improving data layout and operational efficiency.

Granica has already processed hundreds of petabytes of customer data for companies including Snap, Pinterest, Lyft, and ShareChat, with customers able to validate meaningful savings within weeks.

About the Role

Granica is hiring a Forward Deployed Engineer to become the technical bridge between our customers, Engineering, Product, and GTM teams.

You will work directly inside complex enterprise data environments to understand workloads, investigate performance and cost problems, deploy Granica, run technical evaluations, and turn the results into clear customer recommendations.

This is a highly hands-on role. You should be comfortable moving from a customer conversation to Spark debugging, SQL analysis, performance benchmarking, architecture decisions, and an executive-facing explanation of the technical and economic tradeoffs.

As one of Granica’s first dedicated Forward Deployed Engineers, you will also help define how the function operates as we scale.

What You’ll Do

Lead technical discovery with enterprise data, infrastructure, and AI teams

Understand customer data architecture, workloads, constraints, and business priorities

Deploy and configure Granica in complex customer-controlled environments

Investigate performance, reliability, storage, and compute-cost problems across large data platforms

Debug and optimize Apache Spark workloads and related distributed-data systems

Analyze table layouts, file structure, partitioning, compaction, and data-maintenance behavior

Design and execute technical evaluations and proofs of value with clear success criteria

Establish trustworthy measurements and translate results into defensible customer recommendations

Explain technical tradeoffs across performance, cost, reliability, and operational complexity

Partner with Account Executives during technical discovery, evaluations, and enterprise sales cycles

Present findings and business value to engineers, architects, and executive stakeholders

Translate recurring customer problems into Product and Engineering priorities

Build repeatable deployment, troubleshooting, benchmarking, and evaluation playbooks

What We’re Looking For

5+ years in Forward Deployed Engineering, Data Engineering, Solutions Architecture, Sales Engineering, or a similarly hands-on technical role

Strong hands-on Apache Spark experience , including production workloads, debugging, performance tuning, and distributed execution behavior

Strong understanding of distributed data systems and modern cloud data infrastructure

Experience with lakehouse technologies such as Apache Iceberg, Delta Lake, Parquet, Hive, or comparable systems

Strong SQL skills and proficiency in Python, Scala, Java, or another relevant programming language

Experience diagnosing performance or reliability problems using data and experimentation

Ability to reason about infrastructure economics, including storage, compute, and performance tradeoffs

Strong customer communication skills and the ability to explain technical recommendations clearly

High ownership and comfort operating without an established playbook

Ability to work from our Mountain View office five days per week and travel to customer locations when needed

Why Join Granica

Work directly on some of the largest enterprise data environments in production

Solve technically difficult problems where improvements can translate directly into substantial customer savings

Work across Spark, lakehouse systems, distributed infrastructure, AI, and emerging enterprise data architectures

Partner directly with customers, company leadership, Product, Engineering, and GTM

Help build Granica’s Forward Deployed Engineering function from the ground up

Influence both product direction and how Granica engages technically with customers

Join a small team working at the intersection of enterprise data infrastructure and AI

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 .