---
title: 'Senior Software Engineer, Python at Northbeam'
canonical: 'https://feeny.ai/job/senior-software-engineer-python-northbeam-canada-wrv77drj15hk'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer, Python at Northbeam

- **Company:** Northbeam
- **Location:** Canada
- **Compensation:** $170k–$200k
- **Work type:** remote
- **Posted:** 2026-08-13
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/northbeam/jobs/4705232006

## 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

We’re looking for a senior-level software engineer who leans backend and can take product problems from first principles through implementation. You’ll spend roughly 70% of your time on backend and distributed systems work and 20–30% on frontend work, giving you the ability to own features across the stack when needed.

You’ll help take new products and capabilities from early traction to meaningful scale — designing reliable backend systems while contributing the frontend components required to deliver complete product experiences. This work could include helping expand our new incrementality offering into a scalable experimentation platform, building near real-time data infrastructure or building AI into our marketing user's workflows.  You'll have an opportunity to collaborate with a cross-functional team of data scientists, product managers, and designers along the way.

## Your Impact

- Scale our new incrementality product into a reliable, repeatable experimentation platform.
- Develop near-real-time ingestion and processing capabilities to move beyond batch workflows.
- Build new AI-powered workflows that help marketers evaluate performance and act on insights.
- Improve connection-state systems and help extend the partner ecosystem across data ingestion and exports.
- Work on other product areas such as role-based access control (RBAC).
- Contribute to frontend work when needed to deliver complete experiences.

## What You Bring

- 5+ years of experience designing and building distributed backend systems, microservices, APIs and/or data processing systems written in Python.
- Multiple years of professional experience building system architecture.
- Experience working closely with product managers, designers, and data scientists while independently driving implementation and delivery.
- Previous startup experience or working in an environment where engineers need breadth, sound judgment, and strong problem-solving skills.
- Demonstrated experience turning ambiguous product needs into sound technical architecture and production-ready solutions.
- The ability to navigate complex datasets and interconnected tables to investigate issues, trace dependencies, and identify the right path forward in ambiguous technical situations.
- Working frontend experience with technologies such as React and TypeScript; deep frontend specialization is not required.
- Strong coding fundamentals and the ability to solve technical problems independently, 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.

You may be a strong fit if

- Most of your experience is in data-intensive backend engineering, but you have also shipped frontend work.

Base Salary Range $170,000—$200,000 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/)

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