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Empirical

EXP - AI Software Engineer

LATAMLocation unclear
FullTime · Engineering
POSTED 20 OCTVERIFIED 1D AGO
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Role
20 days opentrue age
Posted 20 Oct
CompanyEmpirical →
8open roles
Opened · 30d
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Closed · 30d
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30d window
Market
37,612open · Software engineering
Opened · 7d
+2,1036% of open
All software engineering
75,149open
All tracked boards · live 10 Nov · n=37,612

Location Type

Remote

Department

Engineering

Overview

Application

IMPORTANT: At the moment we are only considering candidates located in Latin America. Please do not apply if you are not located in Latin America.

About Empirical

Empirical empowers early and growth stage tech companies to create the right products in the right way by providing two pivotal services:

Product & Technology Leadership: Our clients entrust critical decisions to our network of top-tier US-based CTOs and CPOs. We provide fractional, project, or advisory based support, combining highly experienced talent with a flexible approach.

Product Development Teams: We provide our clients with high performing, senior product development talent through a scalable staff augmentation model and ongoing support. We focus on Latin America to find exceptional talent, with time zone and cultural compatibility.

We are proud to be a people first company, where we prioritize building meaningful, long lasting human connections with clients and team members alike, while embracing diversity and uniqueness. With this foundation and our focus on talent, we help create great products that people love.

Our values

Care about people first

Strive to add value always

Lead with integrity

Have fun every step of the way

The Opportunity

Our client is a luxury travel company that designs and operates high-value, custom trips and events. They are a small team running a substantial operation, with internal systems that support programs, travelers, inquiries, payments, vendors, communications, reporting and daily operations. Quickbase sits at the center of the business today and holds much of its business logic, workflows and operational knowledge.

The company is now building the next stage of its internal operating platform: a broader operational layer that connects and improves existing systems while adding better workflows, automation, scheduling, integrations, dashboards and internal tools. The goal is not to rebuild Quickbase with newer technology, but to understand how the business runs today, preserve what works, simplify what can be improved and modernize the platform without disrupting daily operations.

You will become the technical owner of the client's internal business systems and a key owner of this new platform. This is a full-time, long-term opportunity that combines hands-on implementation with strategic judgment: deciding whether the right answer is a Quickbase improvement, an automation, an integration, a custom feature, or a clearer process. You will play a central role in shaping and evolving the platform as the company's technology roadmap expands.

What you'll do

Map the existing Quickbase applications, including tables, relationships, formulas, reports, dashboards, roles, permissions, Pipelines and workflows.

Work with sales, operations and leadership to understand how work moves through the company and surface undocumented business rules.

Maintain and improve Quickbase as the new platform develops around it, covering data structure, formulas, permissions, data quality, de-duplication, auditability and performance.

Build workflows and automations for intake, follow-up, handoffs, approvals, reminders, deadlines, pre-trip and post-trip processes, recurring checks, reporting and exception handling.

Design and build integrations between Quickbase and CRM, email, telephony, transcription, document, finance, vendor and travel services, defining source of truth, sync rules, record matching, conflict handling and failure recovery.

Build modern dashboards, role-specific workspaces and web-based tools that make everyday work faster and clearer.

Help decide what should stay in Quickbase and what is better handled by custom software or another system.

Apply AI selectively to practical tasks such as transcription, extraction, classification, summarization, search and drafting.

Work safely with sensitive client data using access controls, secure credentials, logging, monitoring, audit trails and staging environments, and document key systems, decisions and processes.

Source · EmpiricalFirst seen 4 NovOriginal ↗