AgileSoft
Overview
Join to apply for the
Engineering Manager
role at
Agilesoft . Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stackwhere raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platformsslashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3 faster data processing, and 20% overall efficiency gains. Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics backmaking data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. What Youll Do Lead and build a team of 810 engineers shipping core platform services across the AI data stack Stay 40% hands-on in high-leverage areas like Spark shuffles, Iceberg metadata stores, and vectorized engines Translate research into productionowning the path from prototype to hardened, planet-scale systems Coach architecture & velocitydrive weekly iteration while enforcing engineering excellence Instill a culture of rigorfrom RFCs and code reviews to latency regression tracking and post-mortems that teach Own quarterly outcomesmeasuring success through performance (P90 latency), reliability (4+ nines), and hiring bar (zero-regret additions) Design for scale & autonomybuild workflows where two-pizza teams can ship daily with minimal friction Attract and grow top talentrecruit 10x builders and create an environment of psychological safety and learning
What Were Looking For
7+ years in backend or infra engineering roles, with 2+ years as a tech lead or manager Proven success building and leading high-caliber teams in performance-critical environments (e.g. databases, ML infra, lakehouse systems) Deep experience with distributed compute frameworks (Spark, Trino, Presto) and columnar storage formats (Parquet, ORC) Familiarity with Iceberg or Delta Lake internals Strong system design instincts and ability to guide teams through trade-offs Track record of balancing hands-on execution with leadership, mentorship, and delivery Passion for building foundational technology that changes how data is used at scale
Why Join Granica
Core Differentiation: Were focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Elite peersyoull collaborate with engineers from Meta, Google, Databricks, Okta, and early FAANG builders Clear metrics, real impactour platform cuts storage costs 60%, compute 60%, and boosts processing speeds 3x Unusually high leverageno bloat, minimal hierarchy, and high ownership from day one Long-term alignmentbacked by top-tier investors and built for technical founders and builders
Compensation & Benefits
Competitive salary and equity Premium healthcare, vision, and dental Flexible hybrid work setup (Mountain View HQ) Unlimited PTO + quarterly recharge days Stipends for learning, publishing, or open-source engagement
Equal Opportunity: Granica is an equal opportunity employer. Were committed to building a diverse, inclusive team and encourage candidates from all backgrounds to apply. Seniority level Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Join to apply for the
Engineering Manager
role at
Agilesoft . Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stackwhere raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale. We eliminate the hidden inefficiencies in modern data platformsslashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3 faster data processing, and 20% overall efficiency gains. Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics backmaking data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills. What Youll Do Lead and build a team of 810 engineers shipping core platform services across the AI data stack Stay 40% hands-on in high-leverage areas like Spark shuffles, Iceberg metadata stores, and vectorized engines Translate research into productionowning the path from prototype to hardened, planet-scale systems Coach architecture & velocitydrive weekly iteration while enforcing engineering excellence Instill a culture of rigorfrom RFCs and code reviews to latency regression tracking and post-mortems that teach Own quarterly outcomesmeasuring success through performance (P90 latency), reliability (4+ nines), and hiring bar (zero-regret additions) Design for scale & autonomybuild workflows where two-pizza teams can ship daily with minimal friction Attract and grow top talentrecruit 10x builders and create an environment of psychological safety and learning
What Were Looking For
7+ years in backend or infra engineering roles, with 2+ years as a tech lead or manager Proven success building and leading high-caliber teams in performance-critical environments (e.g. databases, ML infra, lakehouse systems) Deep experience with distributed compute frameworks (Spark, Trino, Presto) and columnar storage formats (Parquet, ORC) Familiarity with Iceberg or Delta Lake internals Strong system design instincts and ability to guide teams through trade-offs Track record of balancing hands-on execution with leadership, mentorship, and delivery Passion for building foundational technology that changes how data is used at scale
Why Join Granica
Core Differentiation: Were focused on unlocking a deeper layer of AI infrastructure. By optimizing the way data is stored, processed, and retrieved, we make platforms like Snowflake and Databricks faster, more cost-efficient, and more AI-native. Our work sits at the most fundamental layer of the AI stack: where raw data becomes usable intelligence. Elite peersyoull collaborate with engineers from Meta, Google, Databricks, Okta, and early FAANG builders Clear metrics, real impactour platform cuts storage costs 60%, compute 60%, and boosts processing speeds 3x Unusually high leverageno bloat, minimal hierarchy, and high ownership from day one Long-term alignmentbacked by top-tier investors and built for technical founders and builders
Compensation & Benefits
Competitive salary and equity Premium healthcare, vision, and dental Flexible hybrid work setup (Mountain View HQ) Unlimited PTO + quarterly recharge days Stipends for learning, publishing, or open-source engagement
Equal Opportunity: Granica is an equal opportunity employer. Were committed to building a diverse, inclusive team and encourage candidates from all backgrounds to apply. Seniority level Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr