Engineering Manager at Sigma Computing

San Francisco, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Data AnalyticsIndustries

Requirements

Self-motivated engineering leader eager to lead engineering teams with high-performing engineers
Comfortable working in a fast-paced environment and supporting teams to deliver incrementally against roadmaps
5+ years of technical experience and 2+ years of people management experience
Love working with world-class engineers, product managers, and architects to solve complex problems and enable business impact
Opinionated with great product sense; make data-driven decisions when unblocking the business
Have hired and developed high-performing engineering teams
Curious, love to learn, and dig into new technologies to apply them when solving technical challenges
Demonstrated strong technical architecture and engineering skills along with the ability to switch between technology paradigms
Strong computer science fundamentals

Responsibilities

Collaborate with cross-functional groups, executive team, field teams to devise business impact product strategy
Enable the team to realize their potential and set them for achieving their career development goals
Own execution and delivery of roadmaps to help set up the business and team for success
Partner with the staffing team to recruit and build a performing team
Instill a strong sense of ownership and accountability within the team wherein members hold each other to a high bar
Participate in discussions pertaining to architecture and implementation techniques to represent, translate, and optimize user directives into optimized queries
Devising product development, prioritization, and execution strategy
Developing a strong team providing career development, coaching, mentoring, performance evaluations, developing promotion cases, and other managerial responsibilities

Skills

Engineering Management

People Management

Technical Architecture

Product Strategy

Roadmap Execution

Team Building

Recruiting

Career Development

Mentoring

Performance Evaluations

Cross-functional Collaboration

Data-driven Decisions

Sigma Computing

Cloud-based data analytics platform for businesses

About Sigma Computing

Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$550.9MTotal Funding

SERIES_DCompany Stage

Data & Analytics, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Competitive pay - Looking for a great salary and solid stock options? You’ve come to the right place.

Flexible schedule - Do the work you need to get done in the time you have to get it done

Amazing benefits - Medical, dental, vision, 401k, FSA, commuter… we’ve got you covered. Literally.

Flexible vacation - At Sigma, we work to live, not live to work. So go on, book that dream vacation.

Health & wellness - A healthy body supports a healthy mind, so we partner with Crunch Fitness and CorePower.

Family-friendly - From flexible scheduling to parental leave to kids’ birthdays off, we support Sigma families.

Risks

Competition from Tableau and Power BI could threaten Sigma's market share.

Reliance on platforms like Snowflake may impact service delivery if disruptions occur.

High valuation pressures Sigma to deliver rapid growth, risking strategic misalignment.

Differentiation

Sigma offers a spreadsheet-like interface for non-technical users to analyze data.

The platform integrates with major data warehouses like Snowflake and BigQuery.

Sigma's AI features include natural language processing and sentiment analysis.

Upsides

Sigma raised $200M in Series D funding, valuing it at $1.5 billion.

The platform's scalability allows analysis of billions of data rows efficiently.

Sigma's partnerships enhance data accessibility and integration for users.

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