Engineering Manager [32614]

Stealth Startup (AI); Seattle (WA); Hybrid; USD 190,000 - 260,000; Full time

Benefits offered by this job

Competitive salary and equity

Premium healthcare, vision, and dental

Flexible hybrid work setup

Stipends for learning and open-source engagement

Job summary

An innovative tech company in Seattle is looking for a Mid-Senior Level Engineering Manager to lead a team that builds core platform services across the AI data stack. The role requires a strong background in backend engineering, leadership, and expertise in distributed systems. This position offers competitive salary and comprehensive benefits, including flexible work arrangements and opportunities for professional growth.

Qualifications

• 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.
• Deep experience with distributed compute frameworks and columnar storage formats.

Responsibilities

• Lead and build a team of engineers shipping core platform services.
• Stay 40% hands-on in high-leverage areas like Spark and Iceberg.
• Translate research into production—owning the path from prototype to systems.

Skills

Distributed compute frameworks

System design

Leadership

Mentorship

Data processing strategies

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Spark

Presto

Iceberg

Delta Lake

Job description

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The company is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where 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 platforms—slashing 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.

Why It Matters

Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back—making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills.

Who We Are

• World renowned researchers in compression, information theory, and data systems
• Elite engineers from Google, Pure Storage, Cohesity and top cloud teams
• Enterprise sellers who turn ROI into seven‑figure wins.

Powered by World-Class Investors & Customers

$65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders

Our Mission: We’re building the default data substrate for AI, and a generational company built to endure.

A Deep Tech Approach to AI

We combine advanced research with practical productization, powered by a dual-track strategy:

• Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter.
• Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025.

WHAT YOU’LL DO

• Lead and build a team of 8–10 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 production—owning the path from prototype to hardened, planet-scale systems
• Coach architecture & velocity—drive weekly iteration while enforcing engineering excellence
• Instill a culture of rigor—from RFCs and code reviews to latency regression tracking and post-mortems that teach
• Own quarterly outcomes—measuring success through performance (P90 latency), reliability (4+ nines), and hiring bar (zero-regret additions)
• Design for scale & autonomy—build workflows where two-pizza teams can ship daily with minimal friction
• Attract and grow top talent—recruit 10x builders and create an environment of psychological safety and learning

WHAT WE’RE 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 US

• Core Differentiation: We’re 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 peers—you’ll collaborate with engineers from Meta, Google, Databricks, Okta, and early FAANG builders
• Clear metrics, real impact—our platform cuts storage costs 60%, compute 60%, and boosts processing speeds 3x
• Unusually high leverage—no bloat, minimal hierarchy, and high ownership from day one
• Long-term alignment—backed 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)
• Stipends for learning, publishing, or open-source engagement

The company is an equal opportunity employer. We’re 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 Management

Industries

• Software Development

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