Top Tech Jobs & Startup Jobs

Designs and owns Databricks lakehouse architecture, scalable batch and streaming pipelines, data governance, analytics models, and cloud infrastructure. Leads major platform migrations, establishes engineering and CI/CD standards, manages Terraform and FinOps practices, and prototypes AI use cases. The role advises stakeholders, mentors engineers, and ensures secure, compliant, cost-effective data platforms across cloud environments.

Build and deploy production LLM-powered features and agents, including retrieval and RAG systems, evaluation frameworks, monitoring, and customer-facing AI capabilities. Collaborate with product and data teams to identify valuable AI applications, define success metrics, and improve quality, cost, and latency. The role requires production software engineering experience with Python or Node.js/TypeScript, cloud AI services, agentic development workflows, and strong English communication. Remote work is available for candidates based in Latin America.

Designs and maintains production data ingestion pipelines, layered analytics-ready data models, and reliable automated data foundations. The role integrates client data from APIs, files, Databricks, and shared-data sources; implements testing, monitoring, schema-change handling, and safe reprocessing; and supports application, analytics, and future AI use cases. It also requires collaboration with product teams, strong communication, cloud data warehouse experience, and AI-native development practices.

Build backend services, APIs, integrations, relational data models, and TypeScript frontend features. Partner with product teams to define technical criteria, model evolving business domains, and deliver end-to-end functionality. Help scale AI-native engineering through shared agentic AI workflows, development tooling, and CI/CD integration. The role requires production experience with Ruby, Node.js/TypeScript, or Python; cloud platforms such as AWS; API design; strong data fundamentals; and fluent English communication.

Develop and maintain predictive models for LTV, churn, retention, segmentation, personalization, and user acquisition decisions. Design experiments and causal analyses, apply LLMs to unstructured data, build AI-powered analytics tools, and productionize models with data engineering partners. Establish modeling standards, communicate insights to stakeholders, and mentor analysts and data scientists.

Designs, develops, tests, and deploys NetSuite customizations and integrations using SuiteScript, SuiteTalk, RESTlets, middleware, and SuiteFlow. Supports finance, supply chain, sales, inventory, and financial processes; creates records, searches, reports, workflows, and templates; manages SDF deployments and data migrations; troubleshoots scripts and integrations; reviews NetSuite releases; and documents technical solutions.

Identify and research B2B prospects, build targeted prospect lists, conduct cold calling, email, and LinkedIn outreach, qualify leads, schedule discovery meetings, maintain CRM records, track performance, and optimize prospecting strategies in collaboration with the sales team.

Manage leadership calendars, email, scheduling, time-zone coordination, travel, and expenses. Support EOS meeting rhythms, maintain operating tools, track action items, prepare client documents, organize files, and assist with CRM updates and business development follow-up. The role requires polished English communication, discretion with confidential information, strong organization, proactive follow-through, and reliable remote availability overlapping U.S. business hours.

Manage and optimize client campaigns across Google Ads, Meta Ads, and other social platforms. Monitor performance, adjust campaigns to improve ROI, maintain ad accounts, produce reports, manage QA, develop audience segmentation and retargeting strategies, and collaborate with paid search, DSP, and email teams. The role also involves monitoring platform updates and resolving catalog match rate and product feed issues.

Lead the platform’s technical architecture, guide development decisions, coordinate sprint cycles, and contribute hands-on full-stack development. Oversee Solana wallet integrations, transaction security, blockchain payment functionality, and gaming mechanics for poker, slots, and fantasy sports. The role requires gaming and blockchain experience, strong English communication, project leadership, and availability for part-time remote work.