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You will be updated with latest job alerts via emailAt were redefining customer engagement for e-commerce brands by empowering them with their own AI-powered ambassadors to deliver hyper-personalized Email and SMS interactions at an unprecedented scale. Our platform enables brands to communicate with their audience in a natural and contextually relevant manner driving higher engagement and conversion rates while helping them stay focused on what matters most - the customer.
Why join us
Were a fast-moving team building a high-growth company thats transforming the e-commerce industry. As an early team member youll shape both our product and the future of e-commerce - with ample room to grow alongside us.
Recent wins
Launched a segmentation engine that personalizes interactions for 40M consumers - growing 20% month-over-month
Built a data pipeline capable of processing millions of events daily
Enabled multi-LLM orchestration per interaction boosting performance while cutting costs
Onboarded marquee brands like Backcountry Fabletics and Sur La Table turning them into vocal champions
Wed like to work on
Refining AI infrastructure to enable deeper segmentation richer customer-level memory and advanced agentic workflows
Enhancing our conversation engine to deliver self-optimizing dialogues that surface actionable feedback
Expanding self-service capabilities so brands of all sizes can access friction-free
Our stack
Frontend: React (TypeScript)
Backend: NestJS (TypeScript)
Infrastructure: AWS managed with Terraform
Databases: PostgreSQL & ClickHouse
Who were looking for (ideally)
5 years engineering experience with 3 years building production-scale ML systems (recommendations ranking or personalization)
Proven track record of optimizing data pipelines and real-time services for tens of millions of monthly users
Proven experience deploying LLMpowered products at scale: finetuning or promptengineering models implementing retrievalaugmented generation evaluating quality and optimizing latency/cost across tens of millions of monthly users.
Deep expertise in modern ML frameworks (PyTorch TensorFlow or JAX); strong backend chops in TypeScript/NestJS Go or equivalent
Hands-on experience with distributed data processing (Kafka Spark Flink) and columnar stores such as ClickHouse
Solid grasp of AWS services (EKS S3 Lambda SageMaker) and infrastructure as code (Terraform)
Passion for shipping fastyoull spend the majority of your time writing and reviewing production code
Familiarity with AI coding accelerators (Cursor Windsurf Copilot etc.)
Compensation benefits
Depends a lot on the individual - equity included
If this role sounds like a fit wed love to hear from you! Email - tell us why youre excited to build the future of AI-driven e-commerce with us.
Not looking but know someone who would make a great fit Refer them!
Required Experience:
Senior IC
Full-Time