At a Glance
- Tasks: Design and develop algorithms for matching business activities to context using cutting-edge AI technology.
- Company: Join Backstory, a top startup backed by Silicon Valley's best investors.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team culture with ownership and autonomy in your projects.
- Why this job: Make a real impact by working on innovative AI systems that drive business insights.
- Qualifications: 5+ years in backend systems, strong Python/Scala/Java skills, and data analysis experience.
The predicted salary is between 70000 - 90000 £ per year.
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, Open AI, 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.
Responsibilities
- Design and implement core backend services and data pipelines.
- Perform data-driven research using big data and leveraging Data Science toolset
- Document design choices and operational knowledge to successfully deploy and run services.
- Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
- Ensure robust alerting, dashboards, and runbooks for production services are in place.
- Collaborate within the team and with other engineering teams to build new features and products according to business needs.
- Follow software design and development best practices and promote such practices in the team.
Requirements
- 5+ years of professional experience working on backend systems in an enterprise environment
- 3+ years experience with data analysis / data science tasks and/or ML
- 2+ years experience programming in Python 2. x/3. x or Scala or Java
- Experience with AI development tools (especially agentic AI) is a plus
- Experience developing systems based on LLM is a plus
- Understanding of SOA, microservices, and event-driven architecture
- Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, No SQL, and key-value databases
- Strong knowledge of TDD, Unit, and automated test paradigms
- Experience with SQL and RDBMS solutions
- Experience with large-scale data processing (Spark)
Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and Silicon Valley’s top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital.
Backstory is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America’s Best Startup Employers.
For more information, please visit www. backstory. ai.
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Senior Software Engineer — Matching (Canada) in Toronto employer: People.ai Inc.
At Backstory, we pride ourselves on fostering an innovative and collaborative work environment where creativity thrives. As a Senior Backend Engineer, you'll not only contribute to cutting-edge AI-driven projects but also benefit from our commitment to employee growth through continuous learning opportunities and a supportive culture that values autonomy. Located in a vibrant tech hub, we offer competitive benefits and a unique chance to be part of a team that's shaping the future of enterprise data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer — Matching (Canada) in Toronto
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Software Engineer — Matching (Canada) in Toronto
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at People.ai Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at People.ai Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at People.ai Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If People.ai Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.