Software Engineer, Customer Insights

Together AI

$150K — $200K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years of experience with large-scale distributed systems or customer-facing backend systems.
  • Proficiency in backend programming languages such as TypeScript, Go, Python, Java, or C++.
  • Enthusiasm for learning event-driven systems and analytics, with support for development.
  • Familiarity with data modeling, schemas, and relational or non-relational databases.
  • Ability to write clean, organized, and well-tested code.
  • Comfort with owning specific work scopes and highlighting blockers promptly.
  • Open to feedback, curious, and willing to explore new solutions.

Responsibilities

  • Build and deploy features for the Customer Insights platform, enhancing event visibility and analytics.
  • Collaborate with data and observability teams to leverage data collection and processing capabilities.
  • Take ownership of specific projects from implementation to rollout, ensuring quality delivery.
  • Develop and maintain essential backend code that supports multiple teams and functions.
  • Identify and address project blockers early, fostering team collaboration.
  • Ensure the reliability of customer-facing systems through thorough checks and updates.

Benefits

  • Equity opportunities in a startup environment.
  • Comprehensive health insurance coverage.
  • Supportive learning environment for professional growth.
  • Dynamic team collaboration with a focus on innovation.
Full Job Description
About the Role

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.
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
Requirements
  • 2-5 years of experience building and operating large-scale distributed systems, product platforms, or customer-facing backend systems in production environments.
  • Good backend engineering skills in one or more of TypeScript, Go, Python, Java, C++, or similar production languages.
  • 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
  • Developing data modeling instincts - comfort working with schemas, queries, and relational and/or non-relational data
  • Writes clean, well-organized, well-tested code, and treats code review as a way the team grows together
  • Comfortable owning scoped work and surfacing blockers early
  • Curious, open to feedback, and willing to propose new approaches and make mistakes
Nice to Have
  • Interest in, or some exposure to, stream processing, data pipelines, notification systems, or analytical systems (this is a great team to learn them on)
Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150k - 200k + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

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