Engine logo
AI/ML
Data/Analytics
Enterprise SaaS

Engine

Omni-analytics solutions for CPG and retail

CORE INFO

$140M
Total Funding
Series C
Round
~47 employees
Team Size
Rogers, Arkansas, USA
Headquarters

Engine provides advanced analytics and data science solutions tailored for Consumer Packaged Goods (CPG) companies and retailers, integrating real-time data to offer actionable insights for business operations.

  • Series C funding round raised $140 million, led by Permira Growth Opportunities II in September 2024.owler.com
  • Engine's platform is built on technologies like Databricks, facilitating seamless data integration and advanced analytics.engine.net

WHY WE WOULD WORK AT ENGINE

Empowering Brands

Engine is dedicated to empowering Consumer Packaged Goods (CPG) brands with innovative omni-analytics solutions, helping them navigate the evolving retail landscape.

Collaborative Culture

Join a close-knit team of approximately 47 employees where collaboration and integrity are at the forefront, fostering meaningful partnerships.

Cutting-Edge Technology

Work with advanced technologies like Databricks to deliver real-time insights through a scalable analytics platform, enhancing decision-making for top industry clients.

Strong Financial Backing

With $140 million in Series C funding, Engine is well-positioned for growth, providing stability and resources for innovative projects.

Trusted by Leaders

Engine's solutions are trusted by Fortune 100 Food & Beverage companies and top 10 Consumer Healthcare firms, showcasing the impact and reliability of its analytics.

Innovative Solutions

Engine's commitment to innovation drives the development of actionable insights through data visualization and a comprehensive content hub, setting industry standards.

MARKET AND TRACTION

TOTAL ADDRESSABLE MARKET

  • Engine operates within the Consumer Packaged Goods (CPG) and retail sectors, which are vast and continuously evolving markets.

  • The demand for omni-analytics solutions is increasing as businesses seek to leverage data for competitive advantage.
  • NOTABLE CUSTOMERS

  • Engine is trusted by industry leaders, including Fortune 100 Food & Beverage companies and top 10 Consumer Healthcare companies.

  • Specific client names are not disclosed, but the company has established a strong reputation in the industry.
  • KEY METRICS

    ✦ KEY METRIC
  • Engine has raised a total of $140 million in funding, with the latest round being a Series C announced in September 2024.

  • The company has approximately 47 employees, indicating a focused team dedicated to delivering analytics solutions.
  • GROWTH TACTICS

  • Engine emphasizes innovation and integrity in its approach, aiming to empower brands through advanced analytics.

  • The company focuses on building meaningful partnerships within the CPG and retail analytics landscape to drive growth.
  • COMPETITIVE ADVANTAGE

  • Engine's platform integrates real-time point-of-sale (POS), inventory, and syndicated data, providing a comprehensive analytics solution.

  • The use of advanced technologies like Databricks enhances their ability to deliver actionable insights, setting them apart from competitors.
  • PRODUCT AND TECH

    Omni-Analytics Platform

    Engine's omni-analytics platform integrates real-time point-of-sale (POS), inventory, and syndicated data into a scalable system, enabling CPG companies and retailers to derive actionable insights across their operations.

    Data Ingestion and Warehousing

    This service allows businesses to efficiently collect and store large volumes of data from various sources, ensuring that they have a robust foundation for analysis and reporting.

    Data Visualization Tools

    Engine offers advanced data visualization capabilities that help clients create interactive dashboards and visual reports, making complex data easier to understand and act upon.

    Content Hub

    The content hub consolidates dashboarding and interactive visualization tools into a single platform, streamlining the user experience and enhancing data accessibility for decision-makers.

    Integration with Databricks

    Engine's technology stack includes Databricks, which facilitates seamless data integration and advanced analytics, allowing clients to leverage big data for improved business outcomes.

    COMPANY CULTURE

    Values

  • Innovation is at the core of our solutions

  • Integrity guides our partnerships and customer interactions

  • Commitment to delivering exceptional value to clients

  • Empowerment of brands through actionable insights

  • Collaboration fosters meaningful relationships within the team
  • Operating Principles

  • Data-driven decision making is essential

  • Continuous improvement in analytics and technology

  • Customer-centric approach to service and product development

  • Transparency in communication and operations

  • Adaptability to the evolving CPG and retail landscape
  • Benefits

  • Access to cutting-edge analytics tools and technologies

  • Opportunities for professional growth and development

  • Collaborative work environment that values diverse perspectives

  • Strong focus on work-life balance and employee well-being

  • Recognition and rewards for innovative contributions
  • Team Cadence

  • Regular team meetings to align on goals and projects

  • Agile methodologies to enhance project delivery

  • Open forums for sharing ideas and feedback

  • Monthly check-ins to discuss personal and professional growth

  • Celebrations of team achievements and milestones
  • Learning & Growth

  • Continuous learning opportunities through workshops and training

  • Encouragement of knowledge sharing among team members

  • Support for attending industry conferences and events

  • Mentorship programs to foster career development

  • Emphasis on staying updated with industry trends and technologies
  • COMPENSATION SNAPSHOT

    C
    Comp score vs cohort
    vs. AI/ML · Series C · US
    Based on publicly available compensation ranges from job postings; exact compensation may vary.
    Datan = 4
    $141K – $195Kmedian $168K
    Aggregate
    Engineering IC4n = 5
    $135K – $187Kmedian $161K
    Aggregate
    Engineering Managern = 3
    $298K – $400Kmedian $349K
    Aggregate
    G&An = 8
    $170K – $218Kmedian $194K
    Aggregate
    Marketingn = 12
    $135K – $175Kmedian $155K
    Aggregate
    Operationsn = 14
    $138K – $165Kmedian $152K
    Aggregate
    Product ICn = 4
    $154K – $213Kmedian $183K
    Aggregate
    Sales ICn = 3
    $100K – $125Kmedian $113K
    Chicago
    Sales Managementn = 10
    $170K – $230Kmedian $200K
    Aggregate
    US-only in v1 · only categories with n > 2 shown · in-person / hybrid / remote treated separately where n ≥ 3