Full-Time

Senior Data Engineer

Remote, US

Confirmed live in the last 24 hours

Collective[i]

Collective[i]

51-200 employees

AI-driven sales automation for B2B commerce

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$100k - $150kAnnually

Senior

Remote in USA

Category
Data Engineering
Data & Analytics
Required Skills
Airflow
NoSQL
Data Science
SQL
Apache Kafka
Java
AWS
Hadoop
Data Analysis
Snowflake
Google Cloud Platform
Requirements
  • Proficiency with Open Source and Big Data technologies
  • Hands-on experience with Hadoop, Cloudera, or similar platforms
  • Expertise in Java development, with a focus on crafting efficient and scalable solutions
  • Strong background in messaging systems like Kafka, ensuring seamless data integration and communication
  • In-depth knowledge of SQL/NoSQL technologies to manage and analyze large-scale datasets
  • Proven ability to design and develop complex workflows using Oozie or Airflow
  • Demonstrated success in building secure, scalable, and high-performance big data platforms to handle and analyze complex data using open-source tools
  • Familiarity with cloud computing infrastructure (e.g., AWS, GCP, Snowflake), with a deep understanding of scalable, distributed systems
  • Experience with a range of analytical tools, languages, or libraries
  • Expertise in architecting and implementing large-scale data intelligence solutions, especially within Snowflake Cloud Data Warehouse, is a bonus
  • Excellent communication skills with a collaborative approach, comfortable engaging with business, product, and development teams
  • A strong team player who takes pride and ownership in collective accomplishments
Responsibilities
  • Collaborate extensively with engineering, operations, and product teams to implement new applications onto our data framework
  • Enhance existing outdated components
  • Conceive novel functionalities for our products

Collective[i] enhances B2B sales processes through advanced artificial intelligence. Their main product utilizes deep learning to automate tasks and improve decision-making for sales teams and business executives. By analyzing vast amounts of data, the platform provides insights that help clients adapt to market changes and optimize their sales strategies. Unlike competitors, Collective[i] prioritizes data privacy and security, ensuring that sensitive information is well-protected. The company's goal is to empower businesses to thrive in challenging environments by offering AI-driven tools that foster transparency and drive revenue growth.

Company Stage

N/A

Total Funding

$1.3M

Headquarters

New York City, New York

Founded

2008

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-4%

2 year growth

-4%
Simplify Jobs

Simplify's Take

What believers are saying

  • The launch of the Intelligence Institute TM highlights Collective[i]'s commitment to upskilling and educating B2B professionals, fostering a knowledgeable client base.
  • The formation of the Special Ops Leadership Council indicates a strong focus on community-building and client engagement, which can drive long-term loyalty and growth.
  • By automating sales processes and providing actionable insights, Collective[i] enables clients to optimize their sales strategies and drive significant revenue growth.

What critics are saying

  • The competitive landscape of AI-driven sales tools is rapidly evolving, requiring Collective[i] to continuously innovate to maintain its edge.
  • Dependence on subscription-based revenue means that client retention is crucial; any decline in customer satisfaction could impact financial stability.

What makes Collective[i] unique

  • Collective[i] leverages advanced AI and deep learning to automate and optimize B2B sales processes, setting it apart from traditional sales tools.
  • The company's strong emphasis on data privacy and multi-layered security measures builds significant trust with clients handling sensitive business information.
  • Their subscription-based model ensures a steady revenue stream while providing continuous value through ongoing access to AI-driven insights and tools.

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