Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable data pipelines and architectures; ensure data quality and reliability; enable self-service analytics; collaborate with Data Science, Data Ops, and product teams; troubleshoot and optimize data systems; document and improve data workflows and infrastructure.

Build and productionize ML and generative models (including LLM-powered pipelines and agents), process large-scale messy datasets, develop reusable Python data science libraries, design evals and observability, debug distributed systems, and collaborate with cross-functional stakeholders to deliver production-grade data products.

Deliver standard and custom datasets and reports by extracting and validating data via SQL, BI tools, and proprietary platforms. Partner with Insight Analysts, Client Services, Sales, and Marketing to clarify requirements, review teammates' SQL, use generative AI tools to accelerate data delivery, and ensure high data quality for internal and external stakeholders.

Serve as a trusted technical advisor managing a portfolio of complex, high-ACV enterprise accounts. Lead onboarding, executive business reviews, expansion and renewal strategy, troubleshoot integrations, coordinate cross-functional delivery, mentor junior CSMs, and drive retention and growth through strategic, value-driven engagement.

Lead a small engineering team building a real-time, map-based emergency response platform. Own backend API architecture and frontend integration with React, drive serverless architecture decisions on AWS (Lambda, SQS, S3), translate product requirements into tickets, maintain CI/CD with GitHub Actions, and provide hands-on technical management for ~3 engineers.

Lead LATAM customer onboarding and success for a SaaS loyalty platform: manage implementations, drive ROI and retention, run business reviews, identify churn and upsell opportunities, provide light-touch support and documentation, and relay customer feedback to Product, Marketing, and Engineering.

Lead APAC customer success by onboarding and managing major accounts, demonstrating ROI, reducing churn, driving renewals and upsells, coordinating cross-functional teams, gathering client feedback, and improving processes to scale success across the region.

Administer and optimize the Salesforce Sales Cloud: configure objects, security, automations (Flows), reports/dashboards, data imports and deduplication, manage users and permissions, troubleshoot and support end users, collaborate with business teams for requirements, and document configurations and release/change management activities.

Own the reliability, release, and customer-facing correctness of core data products. Manage end-to-end product releases, build proactive data quality monitoring, perform root-cause analyses, respond to data incidents, coordinate fixes with Engineering and Data Science, run QA tests and Looker/BI releases, investigate discrepancies versus customer first-party data, and partner with Commercial to design customer-facing data solutions.

Own end-to-end architecture and technical direction for a production AI agent platform: build agent runtime, cloud infrastructure, eval harness, deployment/monitoring/recovery, and lead engineering, mentorship, and client-facing direction.