About us
Northbeam is building the world’s most advanced marketing intelligence platform for growth. The smartest brands in ecommerce trust Northbeam to accurately attribute their advertising spend, understand the entire customer journey, and make data-driven decisions to grow profitably.
Northbeam has found incredible product-market fit and continues to grow rapidly. This is a career-defining opportunity for an experienced engineer to accelerate their growth and contribute to a rapidly-scaling company.
The team is composed of hard-working and talented individuals focused on collaboration, personal growth, and technical excellence. We would love for you to join us!
Northbeam is fundamentally a data product - the whole company. We don’t sell shoes, ads, or games. We sell data: quality integrations with a variety of platforms, fresh reliable data pulls, correct aggregations and algorithmic insights on top of that data, all packaged up in a user-facing application.
Where you come in: you'll be directly responsible for building the intelligence that pervades our tech stack and our products. As a Software Engineer on our Data Science team, you'll work closely with a tight-knit group of Data Scientists, Software Engineers, and our CTO, to test, build, iterate, and scale data-driven solutions to our customers' problems and our own.
Areas that fall within the realm of Data Science:
- Our MMM. The extensible media mix modeling library that underpins our MMM+ product offering – a tool that enables brands to plan their budgets and drive profitable spend.
- Our identity graph. A scalable identity resolution solution linking customer interactions across multiple surfaces and channels, providing brands a unified view of customer journeys and enabling more accurate measurement.
- Our attribution modeling. Practical multi-touch attribution models securely enriched with view-through data from leading ad platforms, leveraging privacy-first integrations to deliver actionable insights for marketing optimization.
About the role
This is a hybrid role based out of our downtown San Francisco office.
In this role, you'll have a meaningful impact on Northbeam's core product, contributing directly to the tool that powers our customers' success. Your work will span:
- Scaling data products. You'll design to ensure the capabilities we build—from MMM and incrementality models to identity resolution, attribution, and beyond—scale effectively and reliably, adapting seamlessly to support our growing customer base.
- Product-centric development. You'll quickly identify and resolve product issues, ensuring the platform remains reliable and performant.
- Designing and implementing machine learning models. From initial concept to production deployment, you'll develop reliable statistical and machine learning models, ensuring they continuously improve through well-designed feedback loops.
- Analytical rigor and de-risking. You'll identify risks and opportunities, validating ideas and assessing the feasibility of new approaches through swift experimentation and fast, rigorous analysis.
Willingness to dive into the weeds, a knack for tinkering, and thriving in a startup pace of development will be the key to success in this role. If this sounds like your kind of chaos, we'd love to hear from you.
About youRequirements:
- Must be located in the SF Bay Area or have a plan to relocate to the area by a specific point in time.
- 4+ years of professional experience in data science, software engineering, or ML engineering
- Expertise with SQL and Python
- Strong first-principles understanding of statistics, probability, and machine learning
- Experience with at least three of the following:
- Bayesian modeling
- Statistical hypothesis testing
- Signal processing
- Numerical optimization algorithms
- Operating a live production ML model
- Experience with deployments to cloud infrastructure (AWS, GCP, Azure, etc.)
Nice to have
- Experience with AdTech or MarTech and understanding of the applications of data science to advertising and marketing problems
- Experience designing and operating machine learning systems
- Experience with identity matching or identity graph problems
- Experience with orchestration frameworks, like Airflow
- MS, PhD, or academic research experience with a focus on quantitative or statistical methods
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
Benefits
- Equity package
- Generous base salary
- Healthcare Benefits (medical, dental, vision)
- Travel to meet with the team
- Flexible PTO Policy
- 12 Company Paid Holidays
