CARTO

• Own the design and evolution of core backend services that power workflow execution, scheduling and orchestration across multiple cloud data warehouses. • Translate visual DAGs into efficient, warehouse-native SQL and procedural code, pushing computation down to where the data lives. • Build and maintain integrations with BigQuery, Snowflake, Databricks, Redshift, Azure Oracle, Postgres and Synapse — including connection management, query execution, error handling and cost/performance optimization. • Extend the component catalog with new analytical building blocks and design the SDK that lets customers and partners contribute their own. • Improve reliability and observability of long-running, scheduled and event-triggered jobs: retries, idempotency, lineage, logging, metrics. • Collaborate closely with Product, Frontend, Data Engineering and QA to ship features end-to-end, from API design to UX behavior. • Integrate AI tools pragmatically throughout your development workflow — not as a checkbox, but as a genuine productivity multiplier in how you design, build, and test.

- Keep the delivery pipeline healthy — own and evolve the CI/CD infrastructure that the whole engineering org depends on. Fast, reliable, and trusted deployments are a baseline expectation. - Drive automation across the organization — identify manual, repetitive processes wherever they exist and systematically eliminate them. If a machine can do it, it should. - Own the testing strategy — define and enforce standards across teams for how software is tested: what layers, what coverage, how to keep pipelines green and fast. - Lead on performance — detect, investigate, and resolve performance bottlenecks across systems and services. Build tooling that surfaces regressions automatically, before they reach production. - Move AI to the next level — go beyond individual productivity tools and make AI a structural part of how CARTO builds software. That means autonomous agents running in the background catching bugs, security vulnerabilities, and coverage gaps; AI embedded in the delivery pipeline as a permanent, active participant; and you defining what gets automated next and how it scales across the organization.

• Lead stimulating, multi-workstream enterprise projects end-to-end (scope, timeline, budget, governance, risk). • Act as the main point of contact for customer stakeholders, including senior leadership. • Define and implement project governance frameworks (steering committees, reporting cadence, RAID logs). • Create new value propositions. Our clients expect a level of innovation that they don't have internally. • Identify risks early and drive mitigation plans proactively. • Continuously improve our delivery methodology and internal best practices. • Coordinate cross-functional teams (Solutions Engineers, Data Scientists, Customer Success, Sales). • Work hard and have fun!

• Automate Everything: Design and operate reliable platform infrastructures using Kubernetes and Serverless technologies. • Code Your Infrastructure: Use Terraform to develop "Infrastructure as Code," ensuring high availability and robust testing. • Innovate with AI: Integrate AI tools into your daily workflow and orchestrate AI agents to work in an agentic way. • Evolve the Stack: Develop custom tools to enhance internal services and client experiences. • Deep Observability: Keep our systems transparent using Google Cloud monitoring and Honeycomb. • Refine the Product: Manage HELM charts to ensure our Self-Hosted product remains robust across GKE, AKS, and EKS. • Support System Stability: Participate in an optional on-call rotation to maintain our high-availability standards.

• Own the design and implementation of high-performance API endpoints that serve billions of requests per month, from initial architecture decisions through production monitoring and iteration. • Push the boundaries of what's possible on top of BigQuery, Snowflake, Redshift, Databricks, and Oracle — you'll develop a deep understanding of their internals, query planners, and limits, and have direct access to the engineering teams behind them. • Tackle hard distributed computing problems: query performance at massive scale, multi-tenant data isolation, low-latency geospatial operations on datasets measured in terabytes. • Shape the technical direction of the APIs team — participating in architecture decisions, setting standards for code quality and testing, and raising the bar through code reviews and mentorship. • Work at the intersection of open-source geospatial communities (PostGIS, GeoParquet, GDAL, Deck.gl) and the modern cloud data warehouse ecosystem, contributing to and learning from engineers at Uber, Google, Databricks, and Snowflake. • Integrate AI tools pragmatically throughout your development workflow — not as a checkbox, but as a genuine productivity multiplier in how you design, build, and test.

• Sales Leadership: Provide strategic direction and leadership to the sales team, setting clear goals and objectives • Pipeline Generation & Management: Execute outbound pipeline generation strategies to complement inbound efforts from Marketing and SDR’s and maintain high pipeline hygiene in real time. • Strict Deal Qualification: No matter the source, you will be the steward of your pipeline maintaining high adherence to CARTO’s ICP and qualification criteria. • Coaching and Development: Coach, mentor, and develop the sales team, fostering a culture of continuous improvement and skill development. • Performance Culture: Promote a results-oriented and performance-driven culture within the sales team, setting and tracking KPIs to measure success in sales. • Sales Forecasting: Develop and maintain accurate sales forecasts, ensuring alignment with company revenue goals. • Sales Methodologies: Maintain strict adherence to CARTO’s playbook based in MEDDICC driving consistency and effectiveness across the sales organization. • Strategic Partnerships: Collaborate with the Partnership team to identify and nurture strategic relationships that can drive sales growth in these sectors. • Customer Relationships: Leverage your existing network of contacts to build and maintain strong relationships with key customers and partners within our target verticals, driving customer satisfaction and retention.