Senior Software Engineer — Matching (Canada)
People AI is hiring a Senior Software Engineer — Matching (Canada) for a remote role open to applicants in Canada. Level rates it ; you can apply on People AI.
Level's read on this job
- On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions OpenAI, Databricks and Python among its tools and skills.
- Level classes it as a senior role.
- People AI has 9 other open roles on Level.
AI in this role
Build foundational matching algorithms and distributed AI infrastructure as a Senior Software Engineer at Backstory.
Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. The platform operates over trillions of sales activities, millions of deals, and more than 160 million business contacts, giving customers a unified view of the signals that drive revenue. Companies such as Nvidia, OpenAI, AMD, Red Hat, and Databricks rely on Backstory to surface risks, identify opportunities, and understand what's happening across their business.
Backstory is building AI systems that reason over massive amounts of enterprise data to help business leaders understand what's happening in their business and what to do next. We work at the intersection of large language models, retrieval, evaluation, distributed data systems, and product design, turning billions of signals from across the enterprise into insights people can trust. The underlying challenges span reasoning, search, ranking, data quality, knowledge representation, and operating AI systems against continuously evolving real-world information.
As a Senior Software Engineer on the Matching team, you will work on Backstory's foundational technology — matching business activities to business context. You will handle a vast amount of business data, perform data-driven research, design and develop algorithms and microservice architecture, write machine learning and automation code, and build scalable systems that power the AI-engine behind Backstory's products.
We value ownership highly — the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at Backstory, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges.
How we rate this
Senior Software Engineer — Matching (Canada) at People AI rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where search was part of your work. What did you do?
- Tell me about a project where ranking was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Distributed Systems, Microservices, Search, and Ranking. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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