Full-Time

Senior Software Engineer

Data Platform

Covariance.ai

Covariance.ai

1-10 employees

ML platform leveraging alternative data sources

Compensation Overview

$145k - $220k/yr

New York, NY, USA

Hybrid

NYC office strongly preferred; remote candidates may be considered if they can visit office monthly.

Bachelor's, Master's, PhD

Category
Software Engineering (1)
Required Skills
Python
Data Structures & Algorithms
SQL
ETL
AWS

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Requirements
  • Bachelors or advanced degree in Computer Science, math or equivalent
  • 3+ years of experience in data engineering or related fields with a track record of building (coding) and scaling a data platform
  • 2+ years of industry experience building ETL pipelines in a major cloud provider
  • Highly proficient in python and SQL
  • Advanced knowledge of databases, design patterns, OOP, and concurrency
  • Knowledge of data management fundamentals and data storage principles
  • Passion for intuitive data models
  • Experience communicating with senior management as well as colleagues from engineering, analytics, and business backgrounds
  • Experience with AWS, orchestration platforms, and modern tech stacks
  • Strong software engineering fundamentals: system design, algorithms, data structures
Responsibilities
  • Build distributed systems supporting complex transformations over petabyte-scale data
  • Design, implement, and maintain production cloud data pipelines for complex, disparate datasets
  • Work closely with our Quants and Applied Scientists to support rigorous scientific process, rapid experimentation, and new product initiatives
Desired Qualifications
  • Experience building systems that integrate LLMs with large-scale data processing
  • Working understanding of basic probability and statistics
  • Experience implementing ML models
  • Experience with DBT
  • MS or PhD in STEM field
  • In-person at our NYC office strongly preferred. Remote candidates who can spend some time in-office (e.g., monthly) will also be considered

Covariance.ai builds machine learning solutions using alternative data to help businesses gain insights from non-traditional sources. It collects diverse data like satellite imagery, web data, and sensor feeds, cleans and structures it, and runs ML models to generate actionable signals. The platform typically involves data ingestion, feature extraction, model training, and delivery of results through dashboards or APIs. It distinguishes itself by focusing on alternative datasets and providing scalable, governance-aware pipelines that emphasize data quality, provenance, and repeatable workflows. The company’s goal is to help customers make better decisions and unlock value from non-traditional information.

Company Size

1-10

Company Stage

N/A

Total Funding

N/A

Headquarters

Cambridge, Massachusetts

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 2026 funding validates investor appetite for machine learning on alternative data.
  • Facteus' Stratum3 partnership gives Covariance.ai a visible hedge-fund distribution channel.
  • A consumer-economy dataset spanning households and merchants supports repeatable KPI products.

What critics are saying

  • March 9, 2026 SEC filing shows only $11M raised, limiting commercialization runway.
  • Alternative-data incumbents like YipitData and Earnest Analytics already sell similar retail signals.
  • If hedge-fund adoption stalls, Covariance.ai becomes a niche analytics layer, not a platform.

What makes Covariance.ai unique

  • Covariance.ai turns external purchase data into KPIs, nowcasts, and forecasts for investors.
  • Facteus' May 29, 2024 Stratum3 launch embeds Covariance.ai into hedge-fund CPG signals.
  • Its website says one foundation powers category trends, brand trends, and emerging behaviors.

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Benefits

Health Insurance

Vision Insurance

Dental Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Paid Holidays

Stock Options

Hybrid Work Options

Commuter Benefits

Company News

AlleyWatch
Mar 9th, 2026
The AlleyWatch Startup Daily Funding Report: 3/9/2026

The AlleyWatch startup daily funding report: 3/9/2026. The latest venture capital, seed, pre-seed, and angel deals for NYC startups for 3/9/2026 featuring funding details for Covariance, TradeZing, and much more. This page will be updated throughout the day to reflect any new fundings. Covariance - $11M. MACHINE LEARNING Covariance, a machine learning platform turning external data into KPIs, has raised $11M in funding according to a recent SEC filing. The filing indicates that the round comes from six investors. Covariance was founded by Joshua Joseph, Matt Perlein, and Michael Fleder in 2020. REACH NYC TECH LEADERS AlleyWatch is NYC's leading source of tech and startup news, reaching the city's most active founders, investors, and tech leaders. Advertise today TradeZing - $800K. TradeZing, an AI-powered social investing platform, has raised $800K in funding according to a recent SEC filing. The filing does not include a total offering amount but does indicate that this close came from three investors. TradeZing was founded by Jordan Edelson in 2021. About alleywatch. Contact.

PR Newswire
May 29th, 2024
Facteus Unveils The Stratum3 Data Suite: A Revolutionary Cpg & Upc Data Product For Hedge Funds, Powered By Covariance.Ai

By combining our vast repository of CPG transaction data with Covariance's advanced machine learning capabilities, we are delivering a product that sets a new standard in the Alternative Data industry for hedge funds