Manager, Software Engineering (Cribl AI)

San Francisco, California, United States

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Software Development, Artificial IntelligenceIndustries

Requirements

Candidates should have 4-7 years of Engineering Management experience and recent hands-on engineering experience in TypeScript/JavaScript, Python, or Go within the last 5 years. A background in B2B SaaS product development, a demonstrated interest in AI/ML, informed opinions on current AI trends, and experience working directly with AI products are also required, along with strong communication skills and leadership presence in a distributed team.

Responsibilities

The Manager, Software Engineering will lead a cross-functional AI product engineering team, owning strategy and execution for multiple Copilot experiences. They will drive technical direction and product evolution for the AI stack, inference backend, and user-facing AI products, while also overseeing infrastructure, on-call rotations, and operational processes. This role operates in a player-coach model, contributing 25-40% of time to hands-on engineering tasks such as writing evals, testing and debugging features, and occasionally contributing to inference stack development. Stand-by, on-call, or off-hours duties are also required.

Skills

Engineering Management

Generative AI

AI Stack

Inference Backend

Observability Data

Product Development

Infrastructure Management

On-call Management

Debugging

Testing

C++

Python

Kubernetes

Cloud Computing

Cribl

Data observability solutions for tech businesses

About Cribl

Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$576.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Competitive Salary

Stock Options

Medical, dental, and vision insurance

Flexible spending account (FSA)

401(k) plan offered (US)

Parental Leave

Professional Development and Career Growth

Generous Vacation and Holiday Policy, including 2 Floating Holidays for holidays you observe

Employee Resource Groups that reflect our values driven company culture

Risks

Emerging data observability startups could threaten Cribl's market share with competitive pricing.

Rapid AI advancements may outpace Cribl's offerings if not updated timely.

Economic downturns could impact Cribl's ability to maintain its high valuation.

Differentiation

Cribl offers unique data routing and transformation with Cribl Stream and Cribl Edge.

The company integrates seamlessly with major platforms like Office 365 and Microsoft Azure.

Cribl's focus on real-time data processing sets it apart in the data observability market.

Upsides

Cribl raised $319M in Series E funding, boosting its valuation to $3.5 billion.

The rise of multi-cloud strategies enhances Cribl's integration capabilities across cloud environments.

Increased demand for edge computing solutions positions Cribl Edge for significant growth.

Land your dream remote job 3x faster with AI

Try Jobo Free