Software Engineer, Customer Insights

Together AI
San Francisco, CA
On-site

Who this role is best for

Best suited to mid-level engineers with backend or full-stack experience working in AI infrastructure and customer-facing analytics systems.

Best fit for

  • Mid-level engineers with backend or full-stack experience who are eager to grow into event-driven systems and analytics.
    — “a great role for a full-stack or backend engineer who wants to grow into event-driven systems, analytics, and the customer visibility space”
  • Candidates who enjoy owning end-to-end features and delivering them to customers with high impact.
    — “You'll own well defined pieces of work end-to-end, shipping work that lands in front of customers”
  • Individuals who value learning and collaboration, especially with data and observability teams.
    — “Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities”

Things to consider

  • The role requires ownership of scoped work, which may demand a high level of autonomy and proactive communication.
    — “Own well-defined pieces of work end-to-end, from implementation through testing and rollout”
  • Candidates must be comfortable with maintaining the accuracy and trustworthiness of customer-facing systems.
    — “Help maintain the freshness, completeness, and correctness checks that keep customer-facing visibility systems trustworthy”

How to stand out

  • Emphasize experience with backend systems and data modeling in your resume and interviews.
    — “Developing data modeling instincts - comfort working with schemas, queries, and relational and/or non-relational data”
  • Highlight your ability to surface blockers early and collaborate effectively with cross-functional teams.
    — “Surface blockers early and collaborate with the team to work through them”
  • Demonstrate a track record of writing clean, well-organized, and well-tested code.
    — “Writes clean, well-organized, well-tested code, and treats code review as a way the team grows together”
  • Showcase your interest in or exposure to event-driven systems, analytics pipelines, or notification systems.
    — “Interest in, or some exposure to, stream processing, data pipelines, notification systems, or analytical systems”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • development of Customer Insights platform
  • integration with core data stack
  • implementation of customer-facing visibility systems
Typical background
2-5 years of backend engineering experienceexperience with TypeScript, Go, Python, Java, C++

Skills & requirements

Required

Backend EngineeringEvent-driven SystemsData ModelingCode ReviewProblem-solving

Preferred

Stream ProcessingData PipelinesNotification SystemsAnalytical Systems

Stack & domain

Full-stackBackendEvent-driven SystemsAnalyticsCustomer VisibilityAPI StructuresData FlowsData ModelingRelational And Non-relational DataCode ReviewCommunicationCollaborationProblem SolvingLearningCustomer InsightsCloud Platforms

About the role

Original posting from Together AI via Greenhouse

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)

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

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.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy.  

Source: Together AI careers (Greenhouse)

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