---
title: 'Staff Software Engineer, Python at Northbeam'
canonical: 'https://feeny.ai/job/staff-software-engineer-python-northbeam-canada-trzeqvns3knd'
type: 'job'
last_seen: '2026-10-12'
---

# Staff Software Engineer, Python at Northbeam

- **Company:** Northbeam
- **Location:** Canada
- **Compensation:** $190k–$220k
- **Work type:** remote
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-10-12
- **Apply:** https://job-boards.greenhouse.io/northbeam/jobs/4715176006

## Job description

## About Northbeam

Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions.

We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.

We're a remote-friendly company with physical offices in San Francisco and Los Angeles.

## About the Role

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 and reliable data pulls, robust data ingest APIs, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application.

What this means for you is that high-quality, robust data integration is at the core of what we do, and your work will have a direct connection to the company’s success.

We're looking for a Staff-level Software Engineer who leans backend and can take product problems from ambiguity through architecture to production. You'll spend roughly 70% of your time on backend and distributed systems work and 20–30% on frontend, giving you the ability to own capabilities across the stack and to make architectural calls that hold up on both sides of it.

You'll take new products from early traction to meaningful scale, and set the technical direction that gets them there. That includes architecting our new incrementality offering into a scalable experimentation platform, defining our approach to near real-time data infrastructure, and establishing how AI shows up in our marketing users' workflows. You'll partner closely with data scientists, product managers, and designers, and your influence on what gets built will be as real as your influence on how.

## Your Impact

- Architect our new incrementality product into a reliable, repeatable experimentation platform, and own the technical decisions that determine whether it scales.
- Set the direction for near-real-time ingestion and processing as we move beyond batch workflows.
- Define the patterns for AI-powered workflows that help marketers evaluate performance and act on insights — the first version and the framework that follows it.
- Lead work on connection-state systems and the partner ecosystem across data ingestion and exports.
- Shape technical approach in adjacent product areas such as role-based access control (RBAC).
- Multiply the team: design review, mentorship, and raising the standard for what ships.

## What You Bring

- 8+ years designing and building distributed backend systems, microservices, APIs, and/or data processing systems in Python.
- Deep experience owning system architecture, including the tradeoffs that only surface at scale.
- A track record of partnering with product managers, designers, and data scientists to shape what gets built, not only how.
- Startup experience, or experience in an environment demanding breadth, sound judgment, and strong problem-solving under ambiguity.
- Demonstrated ability to turn ambiguous product needs into sound technical architecture and production-ready solutions — repeatedly, across different problem spaces.
- Fluency navigating complex datasets and interconnected tables to investigate issues, trace dependencies, and find the right path forward.
- Working frontend experience with React and TypeScript; deep frontend specialization is NOT required.
- Strong coding fundamentals, with AI used as an accelerator rather than a substitute for core capabilities.
- A generalist mindset and willingness to work across backend, frontend, pipelines, and infrastructure when the product requires it.
- Experience mentoring engineers and improving how a team operates.

Bonus Skills & Experience

- Most of your experience is in data-intensive backend engineering, but you've also shipped frontend work.
- You've been the person a team turns to when the architecture question doesn't have an obvious answer.

#LI-Remote

Base Salary Range $190,000—$220,000 USD

Actual compensation may vary based on experience, skills, and location.

In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.

Interview Process The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.

We accept applications on an ongoing basis.

## About Northbeam

## Company Overview
- **One-liner**: Northbeam is a marketing intelligence platform that provides multi-touch attribution, media mix modeling, and analytics to help eCommerce and DTC brands optimize ad spend for profitable growth.
- **Entity Type**: Private (Venture-backed)
- **Headquarters**: San Francisco, California, USA (also offices in San Diego, New York, Austin, and Chicago)
- **Founded**: 2019
- **Founders**: Not publicly listed on the main profile (the founding team is cited on the "About Us" page, but individual names are not widely published; the team is described as the "Northbeam Team").

## Core Business
- **Primary Industry**: Marketing Intelligence / Marketing Analytics / AdTech
- **Target Customers**: B2B – primarily Direct-to-Consumer (DTC) and eCommerce brands, as well as larger enterprises with significant ad spend. Served over 1,000 companies.
- **Mission/Purpose**: To provide transparent, accurate, high-fidelity data so marketers can make the right choices to target and efficiently scale their ad spending. They aim to "help you scale your business profitably."

## Products & Services
- **Northbeam (Core Platform)**: A marketing intelligence suite that unifies business data through powerful attribution modeling and customizable dashboards. It uses first-party data and machine learning to give an independent, accurate view of ad performance.
- **Multi-Touch Attribution**: Tracks customer touchpoints across all channels (including view-through from impressions) using infinite lookback windows. Includes the "Clicks + Deterministic Views" model, claimed as the world's first deterministic view-through attribution model.
- **Media Mix Modeling+ (MMM Plus)**: A modernized version of media mix modeling that allows for flexible forecasting, budget scenario planning, and daily optimization for promos and seasonality, all with high-speed feedback.
- **Northbeam Apex**: An advanced ad platform integration that sends Northbeam performance data directly to ad platform algorithms (e.g., Facebook, Google) to improve ROAS and CAC, going deeper than standard CAPI or third-party enrichment.

## Market Standing
- **Funding & Valuation**: Total funding of **$30.0M** across two rounds.
    - Series A (Aug 2022): **$15.0M** led by Silversmith Capital Partners.
    - Venture Round (Sep 2025): **$15.0M** led by HighPost Capital and Silversmith Capital Partners.
- **Key Metric**: Annual Revenue estimated at **$2.0M** (per LinkedIn data). The company tracks **$130 billion** in ad-attributed revenue for clients and measures over **2.1 trillion** impressions.
- **Notable Investors/Partners**: Silversmith Capital Partners, HighPost Capital.
- **Growth Signals**: Employee headcount grew **+36.9% YoY** (approx. 76 employees). The company operates in 5 countries (US, Brazil, Dominican Republic, Canada, Puerto Rico). Trusted by over 1,000 companies.

## Competitive Advantages
- **Data Accuracy & Fidelity**: Claims industry-leading data fidelity through a combination of first-party data, deterministic view-through modeling, and machine learning. Provides "laser-accurate" data independent of ad platform bias.
- **Unified Measurement Suite**: Offers a rare combination of multi-touch attribution (MTA), media mix modeling (MMM), and incrementality testing all in one platform, giving a holistic view.
- **Advanced Integration (Apex)**: The direct ad platform integration (Apex) is positioned as a "world’s most advanced" connection, allowing for automated performance optimization directly within ad tools.
- **Privacy-First Approach**: Built to operate effectively in the modern, privacy-constrained landscape (e.g., adapting to changing laws, device graph modeling).

## Strategic Focus
- **Product Expansion**: Continually pushing the boundaries of machine learning and statistical analysis for marketing measurement. The recent launch of "MMM Plus" and "Northbeam Apex" indicates a focus on blending high-level strategy (MMM) with real-time execution (MTA/Apex).
- **Enterprise Growth**: Hiring for Enterprise Sales Director roles and focusing on "strategic support" suggests a push into larger, more complex accounts.
- **Customer Education**: Emphasizing "Education" and "Transparency" as core pillars, with content like the "Media Buyer Newsletter" and data review strategy sessions to empower clients.

## Why Work Here
- **Culture**: Described as a data-driven and intellectually rigorous environment. The company values "inclusion, curiosity, and respect." They are proud to be an Equal Opportunity Employer.
- **Work Policy**: Remote-first. Most job postings list "Remote - USA" or "Remote - Canada," with no requirement for in-office presence. The headquarters are in San Francisco, but the team is distributed.
- **Perks & Engineering Culture**: The engineering team works with cutting-edge ML and data pipelines. The team is small but growing fast (76 people), offering significant ownership and impact. Notable hiring from top companies like Shopify, The Trade Desk, and Brex.
- **Team Composition**: Technical roles (engineering, data science) make up the largest department (19%), followed by Marketing (16%) and Customer Success (12%). This is a product-forward company.
- **Compensation & Reviews**: Employee reviews give Compensation a 4.2/5.0, but Culture (3.1) and Work-Life Balance (2.5) score lower, suggesting a high-performance, demanding environment.

## Sources
1. [northbeam.io](https://www.northbeam.io/)
2. [northbeam.io/about](https://www.northbeam.io/about-us)
3. [linkedin.com](https://www.linkedin.com/company/northbeam)
4. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/northbeam)
5. [info.northbeam.io](https://info.northbeam.io/)

## Other roles at Northbeam

- [Senior UX Visual Designer](https://feeny.ai/job/senior-ux-visual-designer-northbeam-united-states-2m8n2s89qk68) — United States
- [Data Scientist](https://feeny.ai/job/data-scientist-northbeam-united-states-jd9ps51jfxdx) — United States
- [Staff Software Engineer, Python](https://feeny.ai/job/staff-software-engineer-python-northbeam-united-states-n91nc9jfdqww) — United States
- [Staff Software Engineer, Data Systems (Python)](https://feeny.ai/job/staff-software-engineer-data-systems-python-northbeam-canada-kfpd8pv3yvda) — Canada
- [Software Engineer, Python](https://feeny.ai/job/software-engineer-python-northbeam-canada-b95bg2tzwbb1) — Canada
- [Software Engineer, Python](https://feeny.ai/job/software-engineer-python-northbeam-united-states-5axyebamh705) — United States
- [Software Engineer, Data Systems (Python)](https://feeny.ai/job/software-engineer-data-systems-python-northbeam-canada-v4xh2f4cfgw8) — Canada
- [Technical Account Manager](https://feeny.ai/job/technical-account-manager-northbeam-remote-y6k4pddzrph5)
- [Senior Customer Success Manager](https://feeny.ai/job/senior-customer-success-manager-northbeam-new-york-9fare7rg10rx) — New York, NY
- [Senior Software Engineer, Python](https://feeny.ai/job/senior-software-engineer-python-northbeam-canada-wrv77drj15hk) — Canada