Senior Software Engineer

Magnify is the next-generation automation platform for the post-sales experience-we grow revenue and reduce churn for software companies without adding headcount. We use machine learning along with a sophisticated orchestration engine to identify and orchestrate the next-best-step for software companies' users across all their digital customers, growing the 90% of revenue that comes after the initial sale. Our target customers are enterprise software companies, typically the Chief Customer Officers and their organizations or the Growth Marketing teams.


We are a fast-moving startup backed by top-tier investors, including Madrona Venture Group and Decibel Partners, with a veteran leadership team. This is a remarkable opportunity for someone with back-end skills and cloud expertise to make a significant difference in early product development. We need problem solvers who like to automate and optimize, enjoy simplifying complexity, and know how to experiment.

Our platform is critical to delivering value for our customers: it enables us to rapidly build high quality experiences and reliable systems. We are looking for a Senior Software Engineer to join our engineering team and lead its architectural design and implementation. We will depend on the person in this position to make daily technical decisions, contribute code, support deployment and operations, and participate in design and quality discussions. This role provides an opportunity to grow with the company and to have real impact with enormous upside.

Responsibilities

• Designing and implementing backend systems, services, and APIs, including driving our technical strategies, enabling deep bidirectional integrations with a breadth of external services such as Salesforce, Pendo, Gainsight, Marketo, and more.
• Building out system microservices, developing cloud services, and supporting application integrations.
• Defining system architectures, service contracts, and interfaces to reduce complexity and ease consumption of our platform capabilities.
• Establishing and managing AWS-hosted infrastructure and services.
• Working with the data science team to build models and simulations.
• Mentoring other members of the engineering team.

Successful candidates are likely to have the following qualifications and experiences; we strongly encourage you to apply even if you don't meet all of the items below

• Bachelor's degree in Computer Science or related field.7+ years of experience working as a software engineer building applications in a high growth, startup environment.
• Demonstrated success leading and delivering complex software projects with limited oversight in a distributed environment.
• Strong proficiency in web application development, including data modelling across relational and non-relational data stores, API development, asynchronous workflow orchestration, and development of web-based UIs (e.g., React).Advanced proficiency with Typescript/Javascript, Python, or an equivalent language.
• Experience with cloud native environments and Amazon Web Services.
• Excellent written and verbal communication skills.
• Passionate about delivering for users and collaborating with teammates.
• Have a strong bias for action, a track record of moving quickly, and the ability to identify where and when scrappiness is the right approach versus those places where deeper rigor is required.

$175,000 - $200,000 a year

In addition to our base salary, all offers include full benefits and a generous equity grant.

Magnify is a values driven culture, we aspire to be among the tech industry's most inclusive work environments. We are committed to diversity in our workforce and are a proud equal opportunity employer. We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, sex, gender expression or identity, sexual orientation, or disability status, marital status, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.