Forward Deployed Engineer
Granica · Bay Area Office
CHECKED 2H AGO
Infrastructureonsitesenior$160k–$220k
At a glance
Highlights
- Deploy inside massive enterprise data estates to drive measurable savings.
- Help define Granica's Forward Deployed Engineering function from scratch.
- Turn technical evaluations into executive-ready cost and performance wins.
What they offer
- Meaningful equity
- Performance bonus for top performers
- 401(k) with company match
- Comprehensive health coverage
- Unlimited PTO
- Daily catered meals in Mountain View office
- Support for research, publication, and conference participation
Ideal candidate
Hands-on problem-solver who thrives in customer environments and owns ambiguous challenges end-to-end. You love translating deep analysis into clear business value and shaping a new field function.
Requirements
- 5+ years in Forward Deployed Engineering, Data Engineering, Solutions Architecture, Sales Engineering, or 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 ability to explain technical recommendations clearly
- High ownership and comfort operating without an established playbook
- Ability to work from Mountain View office five days per week and travel to customer locations when needed
- remote policy
- On-site 5 days per week
Lab profile
About Granica
Builds efficiency and intelligence layer for enterprise AI on massive structured data
What they build
- Crunch for lakehouse optimization
- Large Tabular Models (LTMs) for structured data
- Myelin for efficient AI agents
Known for
- Exabyte-scale enterprise data infrastructure
- Foundation models for tabular data
- Diffusion-based generative modeling
Key facts
- Headquartered in Mountain View, CA