Key skills
PythonGoAIBISnowflakeGraphQLAWSKubernetesCloudWatchPostgresRedisDatadogServiceNowSalesforceCommunication
About this role
Assembled is a company that provides a unified platform for customer support, blending human agents and AI. The role involves building the foundation of Assembled’s integrations platform, ensuring interoperability with various customer tools and enhancing customer experience through reliable and scalable integrations.
Responsibilities:
- Own the systems that make Assembled interoperable with the tools our customers rely on most, from CRMs and ticketing systems to internal knowledge bases, communication platforms, and AI model providers
- Build a consistent framework for integrations, covering authentication, rate-limiting, retries, and error handling, so that new integrations can be developed and operated with confidence
- Build robust, bi-directional integrations with platforms like Salesforce, Zendesk, and ServiceNow to power scheduling, reporting, and AI-driven automation
- Build pipelines that can reliably handle millions of events per day while maintaining consistency
- Invest in systems that make failures visible and actionable for both our team and our customers
- Build integrations that allow AI to fetch, reason over, and act within customer systems in real-time
Requirements:
- 5+ years of engineering experience, ideally with experience building integrations, APIs, or distributed systems
- Excited to design and own a high-leverage platform that powers dozens of integrations across our product surface
- Strong empathy for customers and understand that integrations are often mission-critical to adoption and trust
- Thrive in ambiguous, cross-functional problem spaces: balancing customer needs, security requirements, and technical constraints
- Enjoy working closely with product and go-to-market teams to understand which integrations drive the most impact
- Familiarity with one or more parts of our stack: Integration surfaces: REST APIs, GraphQL, webhooks, streaming APIs
- Familiarity with one or more parts of our stack: Data sync & pipelines: Postgres, Snowflake, event queues, Redis
- Familiarity with one or more parts of our stack: Languages: Go and Python
- Familiarity with one or more parts of our stack: Infrastructure: AWS, Kubernetes, observability platforms (Datadog, Mezmo, CloudWatch)