The OpportunityWe're building the next generation of AI-native product experiences, where conversations turn directly into outcomes. As a Software Engineer on the Virality & Activation team, you'll work at the intersection of product, growth, and systems - shaping how users discover the product, activate into it, and bring others along with them. You'll work across the full lifecycle of growth features, from the backend systems that power onboarding and sharing flows to the instrumentation that tells us what's actually working. This role requires balancing product thinking with sound engineering, ensuring that the experiences we build are not only effective at driving growth, but also reliable, well-instrumented, and built to iterate on. You'll partner closely with product, design, and data to ship and improve experiences like invite flows, activation nudges, and sharing mechanics - turning growth hypotheses into high-quality product features.
Your Impact- Build and iterate on backend systems that power core activation and viral loop features - onboarding, sharing, invite flows, and notification pipelines
- Instrument new features with analytics events to measure funnel conversion and user behavior, in close collaboration with data partners
- Participate in A/B experiments: support test setup, interpret results, and help translate findings into product decisions
- Write clean, well-tested, maintainable code that your teammates can build confidently on top of
- Contribute actively to design reviews, sprint planning, and team retrospectives
- Surface and address problems in existing systems - not just within your assigned scope
We're looking for someone who- Holds a Bachelor's degree in Computer Science or a related field, or has equivalent practical experience
- Has 2-4 years of backend software engineering experience, with a track record of shipping user-facing features
- Has working experience with Python and a backend web framework such as Django;
- Is familiar with relational databases (MySQL or similar) and has some exposure to NoSQL or high-performance data stores such as DynamoDB, Cassandra, or Redis - and understands when to reach for each
- Has some exposure to cloud infrastructure, ideally AWS (EC2, S3, or similar services)
- Has some exposure to product analytics or A/B testing, and is eager to develop deeper fluency
- Thinks about user outcomes alongside technical correctness when making engineering decisions
- Communicates clearly and works well across functions - with product, design, and data partners
- Is comfortable navigating ambiguity and making progress without a fully-specified design
Salary rangeSalary Range: $136,000 to $185,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.
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