Backend Engineer - Event-Driven Customer Insights

Togetherai; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Startup equity

Health insurance

Competitive benefits

Job summary

Together AI is seeking a Software Engineer for the Customer Insights team—an ideal role for a full‑stack or backend engineer aiming to grow into event‑driven systems, analytics, and customer visibility within Together's Cloud.

You will own well-defined pieces of work end‑to‑end, ship features for customer events, activity history, and dashboards, and collaborate with data and observability teams while growing toward greater autonomy.

Qualifications

• 2-5 years of experience building and operating large-scale distributed systems, product platforms, or customer-facing backend systems in production environments.

Responsibilities

• Build and ship features for Together's Customer Insights platform, including customer-visible events, activity history, audit logs, timelines, notifications, and historical analytics and dashboards views.
• Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and processing systems.
• Own well-defined pieces of work end-to-end, from implementation through testing and rollout
• Write and maintain critical-path backend and product code used by multiple teams and customer-facing surfaces.
• Surface blockers early and collaborate with the team to work through them
• Help maintain the freshness, completeness, and correctness checks that keep customer-facing visibility systems trustworthy

Skills

Distributed systems experience

Backend development

TypeScript

Go

Python

Java

C++

Event-driven learning

Job description

Together AI is seeking a Software Engineer for the Customer Insights team—an ideal role for a full‑stack or backend engineer aiming to grow into event‑driven systems, analytics, and customer visibility within Together's Cloud.

You will own well-defined pieces of work end‑to‑end, ship features for customer events, activity history, and dashboards, and collaborate with data and observability teams while growing toward greater autonomy.