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Assembled

Software Engineer - Integrations Platform

Reposted 2 Days Ago
In-Office
New York, NY
135K-280K Annually
Senior level
In-Office
New York, NY
135K-280K Annually
Senior level
The Software Engineer will build and maintain Assembled's integrations platform, focusing on API development, real-time data synchronization, and ensuring robust connectivity with major systems like Salesforce and Zendesk.
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About Assembled

Assembled builds the infrastructure that underpins exceptional customer support, empowering companies like CashApp, Etsy, and Robinhood to deliver faster, better service at scale. With solutions for workforce management, BPO collaboration, and AI-powered issue resolution, Assembled simplifies the complexities of modern support operations by uniting in-house, outsourced, and AI-powered agents in a single operating system. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we’re at the forefront of support operations technology.

The Role

We’re looking for an experienced software engineer to help build the foundation of Assembled’s integrations platform. Our products, both workforce management and AI, are only as powerful as the ecosystems they connect to. As a member of the Integrations team, you’ll 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.

This is a high-leverage role: integrations are often the first point of contact for customers adopting Assembled, and their reliability, scalability, and depth directly impact customer experience. You’ll work on both the underlying platform that enables integrations to be developed, scaled, and monitored, as well as the integrations themselves. By doing so, you’ll help us unlock new workflows and new customer segments, expanding the reach of Assembled’s products.

Some projects owned by the Integrations team
  • Unified integrations platform: We’re building a consistent framework for integrations, covering authentication, rate-limiting, retries, and error handling, so that new integrations can be developed and operated with confidence.

  • Enterprise-scale connectors: Our largest customers rely on systems like Salesforce, Zendesk, and ServiceNow. We’re building robust, bi-directional integrations with these platforms to power scheduling, reporting, and AI-driven automation.

  • Real-time sync pipelines: Many integrations require low-latency synchronization of data (e.g. agent schedules, tickets, or knowledge articles). We’re building pipelines that can reliably handle millions of events per day while maintaining consistency.

  • Monitoring and observability for integrations: Integrations fail for reasons outside our control: API changes, expired tokens, third-party outages. We’re investing in systems that make failures visible and actionable for both our team and our customers.

  • AI-native integrations: As we scale our AI agent products, we’re building integrations that allow AI to fetch, reason over, and act within customer systems in real-time. This requires not only traditional data syncs, but also secure action execution and guardrails.

You may be a good fit if you:
  • Have 5+ years of engineering experience, ideally with experience building integrations, APIs, or distributed systems

  • Are excited to design and own a high-leverage platform that powers dozens of integrations across our product surface

  • Have 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

  • Have familiarity with one or more parts of our stack:

    • Integration surfaces: REST APIs, GraphQL, webhooks, streaming APIs

    • Data sync & pipelines: Postgres, Snowflake, event queues, Redis

    • Languages: Go and Python

    • Infrastructure: AWS, Kubernetes, observability platforms (Datadog, Mezmo, CloudWatch)

Top Skills

AWS
Cloudwatch
Datadog
Event Queues
Go
GraphQL
Kubernetes
Mezmo
Postgres
Python
Redis
Rest Apis
Snowflake
Streaming Apis
Webhooks

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