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Software Engineer (Customer Insights)

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Onsite

Software Engineer (Customer Insights)

Together AI

Software Engineer (Customer Insights)

Skills

TypescriptPythonGolangJavaData AnalysisAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$150,000 – $200,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

7 August 2026

What they need


  • Together.ai is looking for a Software Engineer to join the Customer Insights team — a great role for a full-stack or backend engineer who wants to grow into event-driven systems, analytics, and the customer visibility space
  • Customer Insights owns the customer-facing visibility layer of Together’s Cloud: the historical analytics, activity history, audit logs, event timelines, notifications, and investigation workflows that help customers understand their activity and govern their AI workloads with confidence
  • Every time a customer wants to know what happened, who acted, when it happened, and whether they need to act, they rely on the systems we build
  • Whether it’s a developer checking their recent API activity, an enterprise team reviewing an audit trail, or an operator investigating an anomaly, we make that visibility clear and trustworthy — simple for everyday cases while providing robust, enterprise-grade capabilities for complex organizational needs
  • Our work turns today’s fragmented visibility patterns into coherent product and platform foundations, and we’re actively building toward the next generation of insight workflows that summarize activity, explain anomalies, and correlate events across surfaces for both human operators and autonomous agents
  • You’ll own well defined pieces of work end-to-end, shipping work that lands in front of customers
  • You’ll get guidance as you take on unfamiliar problem spaces, with plenty of room to grow toward more autonomy over time
  • We pair, review each other’s code, and learn in the open - it’s a strong environment to level up in
  • 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

Benefits

  • Competitive health insurance plans
  • Mental health support and services
  • Income protection & retirement
  • Pre-tax flexible spending accounts
  • Dental and vision insurance
  • STD & LTD insurance
  • AD&D insurance
  • 401(k) plan
  • Life insurance
  • Team-driven celebrations and events
  • Flexible time off policy
  • Monthly team lunches
  • Monthly commuting stipend + pre-tax bene- Good backend engineering skills in one or more of TypeScript, Go, Python, Java, C++, or similar production languages
  • Writes clean, well-organized, well-tested code, and treats code review as a way the team grows together
  • Genuine enthusiasm to learn event-driven systems, analytics pipelines, and the customer visibility space - deep prior experience isn’t required, and we’ll support you in getting there
  • Curious, open to feedback, and willing to propose new approaches and make mistakes
  • 2-5 years of experience building and operating large-scale distributed systems, product platforms, or customer-facing backend systems in production environments
  • Developing data modeling instincts - comfort working with schemas, queries, and relational and/or non-relational data
  • Comfortable owning scoped work and surfacing blockers early
  • Interest in, or some exposure to, stream processing, data pipelines, notification systems, or analytical systems (this is a great team to learn them on)

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