Why This Job is Featured on The SaaS Jobs
Integration engineering sits at the center of many SaaS ecosystems because product value often depends on how well a platform connects to CRMs, ticketing tools, and vertical systems. This role focuses on native integrations that move data reliably and enable automation across complementary products, which is a common differentiator for established SaaS platforms with broad partner surfaces. The added emphasis on Agentic AI compatibility also reflects a current shift in SaaS toward workflow orchestration rather than standalone features.
For a SaaS career, integrations work builds durable skills in API design, authentication patterns, event driven data flows, and backward compatible change management. It also creates exposure to cross functional tradeoffs where engineering choices affect customer workflows, partner requirements, and product roadmap sequencing. Experience spanning Python, frontend components, cloud services, and testing discipline translates well to platform, ecosystem, and product engineering paths across many SaaS categories.
This position tends to suit engineers who enjoy boundary work between systems and can translate ambiguous real world workflows into robust interfaces. It fits professionals who like writing specifications, iterating with stakeholders, and treating reliability and maintainability as first class concerns. It is also a strong match for someone motivated by applied AI capabilities in practical integration surfaces rather than model building alone.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Your role
As a Software Engineer on the Integrations team, you will primarily contribute to the development of Dialpad’s key native integrations. These integrations enable real-time automations and data transfers between Dialpad and complementary systems, ensuring our mutual customers have a seamless unified experience. This includes Agentic AI, CRMs, ticketing systems, workforce management platforms, and industry-specific verticals such as Recruiting, Retail, and Healthcare. You’ll collaborate closely with engineering teammates, product leaders, business leaders, Dialpad customers, and external stakeholders. Additionally, this role will emphasize Agentic AI-compatible integrations.
This position reports to our Engineering Manager and has the opportunity to be based in our Buenos Aires office.
What you’ll do
- Develop and maintain Dialpad’s key native integrations such as Zendesk, HubSpot, AthenaHealth, and many more.
- Write architectural design & specification documents.
- Develop well-tested features with appropriate test hooks, resulting in low defect reports.
- Write clean, modular, and maintainable code using best practices along with unit tests.
- Participate in code reviews to ensure code quality, maintainability, and scalability.
- Assist with emerging Agentic AI technologies & initiatives.
- Tech Stack: Python, Vue.js, Redis, Google Cloud, AI (MCP).
Skills you'll bring
- 3+ years of professional experience as a software engineer.
- Experience with at least one object-oriented programming language, especially JS or Python.
- Experience with Agile development methodologies.
- Testing, debugging, and troubleshooting skills.
- Effective communication skills.
- Collaborative & team player but also able to work independently & autonomously.
- Pragmatic approach to solving problems while balancing business goals.
- Agentic AI experience.
- Usage of AI coding assistants (Claude, Gemini, etc.) for the majority of coding tasks.
Major bonus points for the following
- Experience building integrations.
- Proficiency with ETL data pipelines.
