Senior Technical Support Engineer

Valid8 Financial, Inc.; Mexico; On-site; MXN 450,000 - 600,000; Full time

Job summary

BatchData seeks a Senior Technical Support Engineer to be the primary technical contact for customers integrating with our property data platform. You will troubleshoot live API integrations and explain data fields, collaborating with Product and Engineering to improve API docs and release notes.

The role requires strong API knowledge, REST/HTTP experience, and excellent written and spoken English. Remote work aligns with US East business hours.

Qualifications

• 4+ years in technical support, support engineering, or developer support for an API-first or data product.
• Hands-on experience supporting a data product delivered through multiple channels (REST API plus bulk file/feeds).
• Fluency in API concepts: REST, HTTP methods and status codes, JSON, tokens, pagination, rate limits, webhooks.
• Excellent written and spoken English; comfortable screen sharing with US developers.
• Experience using Jira or similar issue trackers to track defects with engineering.
• Hands-on experience with Intercom, Zendesk, or similar support platforms.
• Experience writing customer-facing technical content (help center articles, release notes, API references).
• Experience supporting US-based customers from offshore locations aligned to US business hours.

Responsibilities

• Own conversations the AI agent cannot resolve and close them.
• Improve the AI support agent resolution rate by refining content and improving coverage.
• Hold first response within 30 minutes on email and Intercom during your shift.
• Troubleshoot API integrations: authentication, keys, payloads, status codes, rate limits, pagination, async/bulk workflows, sandbox vs production.
• Support data-delivery customers via file formats, schema, field definitions, and record counts.
• Reproduce and document defects; create Jira tickets with full reproduction steps and track to closure.
• Join follow-up calls and screen shares when needed.
• Collaborate with Product Owner to write/maintain knowledge base and API docs; keep docs accurate as endpoints change.
• Identify recurring issues and bring themes to Product/Engineering.

Skills

API concepts

REST/HTTP

Postman/curl

SQL basics

English communication

Issue tracking (Jira)

Intercom/Zendesk experience

AI knowledge base

US hours coordination

Tools

Jira

Intercom

Zendesk

Stoplight/Readme/Redocly

OpenAPI/Swagger

Postman

Job description

Job Title: Senior Technical Support Engineer

Work Hours: Monday-Friday, 8-hour workday between 10:00 AM and 7:00 PM US Eastern Time.

Location: Remote

Job Summary

BatchData is looking for a Senior Technical Support Engineer to be the primary technical contact for customers and prospects integrating with our property data platform. Most support reaches us through email and our Intercom AI agent, which resolves routine questions on its own. Your job is to handle what the AI agent cannot, and to keep improving the AI agent so it can handle more over time. That second part is not a side project. It is how we scale support, and we measure it.

You will troubleshoot live API integrations and answer questions about our data fields and how our datasets are delivered. What the AI agent cannot resolve, you resolve. You elevate only when the answer genuinely sits elsewhere: to the Product Owner for a clarification or feature request, to Engineering for a bug, or to the right contact on the sales team when an inquiry turns out to be commercial rather than technical. You will also work with the Product Owner on the help center knowledge base, product release notes, and our public API documentation.

Duties and Responsibilities

Own every conversation the AI agent cannot resolve, and resolve it. Most of what reaches you should end with you. Escalate only when the answer genuinely sits elsewhere: to the Product Owner as a clarification or feature request, to Engineering as a bug with full reproduction steps, or to the right contact on the sales team when the inquiry is commercial rather than technical. Knowing the difference between a question you should work harder on and one that genuinely belongs to someone else is the core judgment of this job.

Improve the resolution rate of our Intercom AI support agent. Review the conversations it handled poorly or handed off, correct or write the underlying content, and track the share of conversations it closes without a human. Every question it learns to answer is one that never reaches the queue.

Hold a first response within 30 minutes on email and Intercom during your shift. Every conversation that reaches you has already been through an AI handoff, so the wait the customer feels starts with you.

Troubleshoot customer API integrations: authentication and API keys, request and response payloads, HTTP status and error codes, rate limits, pagination, async and bulk job workflows, and sandbox versus production behavior.

Support customers who consume data through file-based delivery in addition to the API, including file format, schema, field definition, and record count questions.

Reproduce and document defects. Capture the request, response, identifiers, and timestamps, and open well-formed Jira tickets for Engineering. Track each one to closure and keep the customer updated along the way.

Join occasional follow-up calls and screen shares when a written exchange is not resolving the issue fast enough.

Work with the Product Owner to write and maintain help center articles, draft product release notes, and keep our API documentation accurate as endpoints and fields change.

Spot recurring issues and bring the themes back to Product and Engineering.

Skills and Qualifications

4+ years in technical support, support engineering, or developer support for an API-first or data product, with a significant share of that time spent helping customers build and debug integrations.

Hands-on experience supporting a data product delivered through more than one channel, for example a REST API alongside bulk file or feed delivery.

Fluency in API concepts: REST, HTTP methods and status codes, JSON, authentication tokens, pagination, rate limiting, and webhooks. Comfortable reproducing a customer's request in Postman or curl.

Working knowledge of databases and query concepts. Enough to reason about schemas, field definitions, record matching and deduplication, and to read or write basic SQL.

Excellent written English, and clear, easily understood spoken English. Calls are occasional rather than daily, but you should be comfortable getting on a screen share with a US developer when writing is not moving things along.

Experience using an issue tracker, Jira preferred, to elevate and track defects with an engineering team.

Hands-on experience with Intercom, Zendesk, or a comparable support platform.

Demonstrated experience writing customer-facing technical content: help center articles, FAQs, release notes, or API reference documentation.

Experience supporting US-based customers from an offshore location, on a shift aligned to US business hours.

Experience curating the knowledge base behind an AI support agent (Intercom Fin, Zendesk AI, or similar) and measurably improving its resolution rate. Preferred.

Familiarity with OpenAPI/Swagger and a documentation platform such as Stoplight, Readme, or Redocly. Preferred.

Background in real estate, proptech, mortgage, title, or marketing data. Preferred.