Engineering Manager at Sigma Computing

New York, New York, United States

Sigma Computing Logo
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
  • 2+ years of people management experience
  • Opinionated with great product sense and ability to make data-driven decisions
  • Experience hiring and developing high-performing engineering teams
  • Curious, love to learn, and dig into new technologies to solve technical challenges
  • Demonstrated strong technical architecture and engineering skills with ability to switch between technology paradigms
  • Strong computer science fundamentals
  • Love working with world-class engineers, product managers, and architects to solve complex problems and enable business impact

Responsibilities

  • Collaborate with cross-functional groups, executive team, and field teams to devise business impact product strategy
  • Enable the team to realize their potential and set them for achieving career development goals
  • Own execution and delivery of roadmaps to 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 where members hold each other to a high bar
  • Participate in discussions on architecture and implementation techniques to represent, translate, and optimize user directives into optimized queries

Skills

Engineering Management
People Management
Team Building
Product Strategy
Roadmap Execution
Technical Architecture
Recruiting
Mentoring
Performance Evaluations
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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