Posted 3 months ago
Senior Software Engineer, Python
@ Northbeam
Remote in Canada
Overview
Northbeam is hiring a senior Python software engineer who leans backend to build distributed systems, APIs and data processing for its marketing intelligence platform, with roughly 20-30% frontend work. The role involves scaling the incrementality product, near-real-time ingestion and AI-powered marketer workflows. Salary is $165,000-$210,000 USD, remote-friendly with offices in San Francisco and Los Angeles.
Responsibilities:
- Design and build distributed backend systems and APIs
- Scale the incrementality product into an experimentation platform
- Develop near-real-time data ingestion and processing
- Build AI-powered workflows for marketers
- Contribute frontend work when needed
Requirements summary:
- 5+ years building distributed backend systems in Python
- Multiple years of system architecture experience
- Working frontend experience with React and TypeScript
- Ability to navigate complex, interconnected datasets
- Startup or fast-moving environment experience
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-08-13
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 5+ years |
| Work setting | Home, Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Generous paid time off, Flexible hours, Generous parental leave, Retirement plan, Stock or equity, Home office allowance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Northbeam
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
First-party data for future-proofed marketing profitability.
Full company description
Through the use of first-party data collection and machine learning, Northbeam delivers actionable insights to DTC and ecommerce brands that result in a clear picture of your customers’ buying behavior.
- LinkedIn followers
- 7,276
- People associated on LinkedIn
- 91
- Reported office locations
- San Francisco, US
- Business categories
- Information Technology
- Machine Learning
- Other recorded names
- Northbeam
- Specialties
- marketing analytics
- marketing attribution
- direct to consumer
- and ecommerce
- Profile identifies a recruitment agency
- No
- Reported total investment
- 29,999,976
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Through the use of first-party data collection and machine learning, Northbeam delivers actionable insights to DTC and ecommerce brands that result in a clear picture of your customers’ buying behavior.
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 11-50 employees |
| Headquarters | San Francisco |
| Organization type | Privately Held |
| Year founded | 2019 |
| Specialties | marketing analyticsmarketing attributiondirect to consumer and ecommerce |
| Open jobs on Jobsy | 8 |
| View page |
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
$165,000—$210,000 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.
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