
Job Overview
Location
Bay Area Office
Job Type
Full-time
Category
Software Engineering
Date Posted
August 8, 2026
Full Job Description
đź“‹ Description
- • 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.
🎯 Requirements
- • 5+ years in Forward Deployed Engineering, Sales Engineering, Solutions Architecture, Data Engineering, or a similar technical customer-facing role.
- • Deep hands-on expertise with Apache Spark, including debugging, performance tuning, cluster behavior, and production workloads.
- • Strong knowledge of modern data platforms, distributed systems, and cloud infrastructure.
- • Experience with lakehouse technologies such as Iceberg, Delta Lake, 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.
🏖️ 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.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Granica Inc.
Granica builds an AI efficiency platform that compresses and secures petabyte-scale training data for cloud object stores. Its byte-granular deduplication and privacy filtering shrink S3 and GCS footprints, cutting storage and transfer costs while boosting downstream model accuracy. Designed for data scientists and MLOps teams, the service deploys as a transparent sidecar proxy, enforcing differential privacy and access policies without code changes. Founded in 2022 and headquartered in Palo Alto, the company targets enterprises running computer-vision and NLP workloads that need cheaper, safer data pipelines.
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