Senior Software Engineer (Virality and Activation)

We’re building the next generation of AI-native product experiences, where conversations turn directly into outcomes As a Senior Software Engineer on the Virality & Activation team, you’ll work at the intersection of product, growth, and systems - owning the engineering of features that directly shape how users activate, retain, and spread the product You’ll work across the full lifecycle of growth initiatives, from the design of scalable backend systems that power sharing and onboarding infrastructure to the experimentation layer that lets the team learn fast and iterate with confidence This role requires balancing deep systems thinking with product intuition, ensuring that what we build is not only technically sound, but measurably moving the metrics that matter You’ll partner closely with product, design, and data to drive initiatives end-to-end - from framing the problem and defining success metrics, through launch and metric readout - and set the technical standard for how the team builds Own features end-to-end: from technical design through launch to metric readout, operating with a high degree of autonomy Design and build scalable backend systems that power growth loops - sharing flows, invite mechanics, notification pipelines, and onboarding infrastructure Lead the instrumentation strategy for new features, ensuring the team has the data it needs to measure impact and iterate with confidence Drive A/B experiments: define hypotheses, instrument correctly, analyze results, and translate findings into concrete product decisions Raise the team’s technical bar through rigorous code reviews, design feedback, and proactive documentation Partner with product and data to define what success looks like before building starts - and hold the team accountable to it after launch Identify systemic gaps and advocate for improvements that increase the team’s velocity and reliability over time Benefits Compensation: With highly competitive salaries and equity option packages, everyone’s an owner here. Hybrid Working: You can mix and match working from our Mountain View or San Francisco office, plus a couple days from home. Social Gatherings: Quarterly gatherings in the Bay Area for some team real fun and authentic connection. Health and Wellness: Comprehensive medical, dental, vision, life insurance, disability, and wellness benefits that start the first day you do. PTO: Start with a minimum of 15 days of paid time off, plus up to 18 weeks for maternity leave and 8 weeks for paternity leave. 401(k): Plans to help meet your retirement goals because we care about your future. Has 5+ years of backend software engineering experience, with a strong track record of shipping impactful, user-facing features at scale Has production experience with Kafka or similar distributed messaging systems, and understands their operational trade-offs Defines success in terms of user outcomes and business metrics, not task completion Communicates technical decisions clearly to both engineering peers and non-technical stakeholders Has hands-on experience with A/B experimentation - not just running tests, but designing them rigorously and drawing well-grounded conclusions from results Has production experience with NoSQL and high-performance data stores - such as DynamoDB, Cassandra, Redis, or Elasticsearch - and can reason clearly about consistency, latency, and scalability trade-offs across storage systems Is experienced with AWS infrastructure (EC2, S3, DynamoDB, or similar) and comfortable reasoning about reliability and cost in a cloud environment Holds a Bachelor's degree in Computer Science or a related field, or has equivalent practical experience Operates effectively in ambiguous environments: can scope a loosely defined problem, build alignment around a solution, and drive it to closure Has deep proficiency in Python, and has used them to build and maintain production systems at scale; experience with Go or another high-performance compiled language is a plus Has strong command of relational databases (MySQL or similar) and has designed schemas and query patterns for high-traffic production workloads #J-18808-Ljbffr Otter.ai