Staff Software Engineer, Northbeam

Special Projects

Salary not provided

+ Equity

SQL
Python
Linux
Airflow
BigQuery
Unix
dbt
Senior level
San Francisco Bay Area
Northbeam

Data analytics for DTC and ecommerce brands

Open for applications

Northbeam

Data analytics for DTC and ecommerce brands

21-100 employees

B2BMarketingAnalyticsMachine LearningSaaSData AnalysiseCommerce

Open for applications

Salary not provided

+ Equity

SQL
Python
Linux
Airflow
BigQuery
Unix
dbt
Senior level
San Francisco Bay Area

21-100 employees

B2BMarketingAnalyticsMachine LearningSaaSData AnalysiseCommerce

Company mission

Northbeam is the new standard for ecommerce intelligence.

Role

Who you are

  • Expert in Python, SQL, and Linux / UNIX terminals
  • Six to eight years of experience, thrives in a startup stage
  • Solid understanding of the applications for:
  • Database engines – both traditional OLTP and distributed OLAP systems
  • Cloud infrastructure primitives – object stores, message queues, compute
  • Observability tools – logging, metric stores, application performance and error monitoring
  • Experience with building orchestrated batch data processing pipelines, in particular for large-scale (> 1TB) analytics
  • Enthusiasm for collaborating with both technical and non-technical stakeholders

Desirable

  • Prior experience in marketing, ecommerce, ad-tech, or enterprise SaaS
  • Experience with real-time data processing pipelines
  • Experience working with external APIs – in particular, building resiliency and observability in the face of API outages, rate limits, and customer faults
  • Experience with parts of our tech stack – BigQuery (and open source alternatives), Airflow, dbt, Apache Beam

What the job involves

  • As a Staff Software Engineer at Northbeam, you will work with a cross functional team of engineers, product managers, and business leaders to build, maintain, and scale the data pipelines which power our product offering
  • Partner with product managers, engineers, leadership to build products to solve high-value customer problems
  • Expand the functionality of the large-scale number crunching systems which power the core of our marketing attribution algorithms by integrating with various data sources
  • Build creative solutions to handle data coming from many sources (S3, SFTP, email, and more) of many different types (Parquet, JSON, CSV, Thrift) in an extensible and sustainable manner
  • Design, implement, document, and scale customer-facing APIs, enabling customers to connect their data to Northbeam faster, decreasing the time to onboard
  • Design, develop and maintain the data models and transformations that will enable us to accelerate product development on our core ecommerce analytics product
  • Establish best practices, frameworks, and repeatable processes that enable us to measure the impact of changes to our complex systems
  • Mentor younger members of the engineering team, promoting organizational growth while maintaining a high bar for excellence and technical curiosity

Our take

Traditionally in-person stores used a plethora of consultants, accountants and agencies to seek improvements that would boost their bottom line. Now, in the age of internet-enabled commerce, data richness and a totally new customer acquisition landscape has made those services irrelevant.

Instead, startups like Northbeam have emerged to fulfil those roles for the modern age. In particular, Northbeam provides services for e-commerce intelligence. That means applying machine learning and first-party data to drive more efficient and scalable marketing strategies.

Northbeam received substantial funding in 2022 that is being used to expand its machine-learning capabilities, especially useful since the 2021 Apple iOS updates. These updates made it more difficult for brands to track consumer behavior across the internet and to accurately advertise to the users most likely to buy their products. Machine learning advances will undoubtedly help Northbeam get ahead of this curve.

Steph headshot

Steph

Company Specialist

Insights

Few candidates hear
back within 2 weeks

112% employee growth in 12 months

Company

Funding (1 round)

Aug 2022

$15m

SERIES A

Total funding: $15m

Company benefits

  • Significant equity package
  • Generous base salary
  • Healthcare Benefits (medical, dental, vision)
  • Travel to meet with the team

Company values

  • Growth mindset - we’re always learning and growing
  • Customer focus - we want to make the customer happy with our product
  • Ownership mentality - we think like owners in the business
  • Radical candor - we’re transparent and give direct feedback to one another

Company HQ

SoMa, San Francisco, CA

Leadership

Austin Harrison

(CEO)

Previously helped build the first audience panel for NetRatings which went public in 1999 and Nielsen acquired the last 40% in 2007 for $327M.

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