Workana

Business Intelligence Developer

• - Build and maintain Power BI dashboards and reports used by operational and business teams
• - Turn stakeholder needs into clear KPIs, report structures, and intuitive navigation
• - Create and optimize datasets: Power Query transformations, data modeling, and DAX measures
• - Connect to and combine data from sources like SharePoint lists/Excel and (ideally) SQL/Dataverse/other connectors
• - Improve report performance (model design, measure optimization, visual best practices)
• - Manage iterative delivery: frequent small requests, quick feedback loops, and continuous improvements
• - Support basic governance: workspace access, sharing, permissions, and refresh reliability (gateway/scheduled refresh if needed)

Power BI Developer, Reporting & Data Modeling

Backend Engineer

• Build and maintain data infrastructure that ingests, processes, and transforms engineering data at scale.
• Design and implement backend services and APIs, balancing speed, flexibility, security, and scalability.
• Develop and productionize data pipelines, ETL/ELT workflows, and orchestration frameworks.
• Collaborate closely with product, data, and engineering teams to design and deliver data products and platform features.
• Ensure reliable operation of production systems, including monitoring, alerting, logging, metrics, and tracing.
• Apply security best practices across services and infrastructure.

Senior Backend Engineer

DevOps Engineer

• Installation and configuration of new Ubuntu Linux servers following defined standards;
• Automation of server provisioning and configuration using Ansible;
• Administration and maintenance of virtualization environments (Proxmox and others);
• Responding to and resolving infrastructure alerts via Zabbix (disk, services, resources, failures);
• Diagnosing and fixing issues with offline or degraded services;
• Operation and maintenance of containerized services using Docker;
• Implementation and maintenance of backup routines, including restore tests;
• Configuration, maintenance and troubleshooting of MySQL replication (master/slave or other architectures);
• MySQL optimization, including query analysis and index creation/tuning;
• Support for operation and maintenance of MongoDB and Redis databases;
• Troubleshooting of messaging systems based on MQTT;
• Analysis of Apache and Nginx logs, system and application logs for diagnosing failures and incidents;
• Applying Linux server security best practices, including hardening and continuous monitoring;
• Working with server environments on cloud providers (OVH), including networking, storage and server reinstallation;
• Administration and maintenance of cloud environments (AWS), including EC2, S3, RDS and VPC;
• Support for standardization and organization of the existing infrastructure.

Full-stack Engineer

• Drive technical decision-making for complex engineering challenges
• Define and promote best practices around development, testing, and documentation
• Help the team scale by enabling parallel execution of multiple key initiatives
• Identify bottlenecks and propose simple, effective solutions
• Work closely with cross-functional teams to ensure clarity, consistency, and delivery
• Mentor and support less experienced developers through hands-on coaching

Senior FullStack Developer

• Design and implement applied AI solutions in production environments
• Integrate LLMs, AI services, and automation tools into business workflows
• Collaborate on system architecture across multi-cloud environments (AWS/Azure)
• Build scalable, secure, and compliant solutions
• Evaluate and integrate new AI tools pragmatically and cost-effectively
• Contribute code directly and participate in technical decision-making

Gen AI Software Engineer

Executive Assistant

• Own executive calendar management, scheduling, and time-blocking across time zones
• Triage and manage inbound requests and follow-ups, ensuring priorities move forward
• Coordinate meetings, agendas, and action items; drive accountability and execution
• Create and maintain systems for tracking priorities and projects (Asana/Notion)
• Support executive workflows across Slack and Google Workspace with exceptional organization
• Coordinate travel planning and logistics when needed
• Act as a trusted gatekeeper—protecting time, focus, and decision-making bandwidth

Executive Assistant, Bilingual Spanish/English

Graphics Designer

• Diseñar master graphics para campañas de marketing y comunicación.
• Adaptar piezas gráficas a múltiples formatos y tamaños (digital e impreso).
• Producir alto volumen de piezas manteniendo estándares de calidad visual.
• Optimizar diseños según canal, formato y uso final.
• Trabajar de forma ordenada y eficiente para cumplir con deadlines ajustados.

Digital Graphic Designer

Data Analyst

• Support product discovery with exploratory analyses and actionable hypotheses.
• Define and track key product metrics (adoption, conversion, drop-off, engagement, etc.).
• Design, analyze, and interpret product experiments (A/B tests) to validate business hypotheses.
• Identify behavioral patterns that help the team iterate or pivot quickly.
• Build dashboards and interactive reports to enable self-service access to insights within the squad.
• Collaborate with the Head of Product, PMs, POs, UX Designers, and Engineering Managers to prioritize initiatives based on data opportunities.
• Contribute to data-driven solutions for onboarding, segmentation, matching, pricing, and more.

Product Data Analyst

Product Manager

• Oversee product definition and delivery: Be directly involved in the definition, execution and timely delivery of product features, ensuring alignment with business objectives and customer expectations.
• Manage product backlog: Prioritize tasks, define user stories, and work closely with the engineering team to ensure a smooth development and delivery processes.
• Collaborate with cross-functional teams: Work closely with engineering, design, data, and other stakeholders to ensure a seamless product delivery from start to finish.
• Optimize delivery processes: Continuously improve product workflows to enhance team efficiency, product quality, and speed to market.
• Coordinate with stakeholders: Act as the main point of contact between the product team and internal stakeholders, ensuring alignment on goals, priorities, and expectations.
• Build strong relationships: Foster strong, trusting relationships with both internal and external stakeholders to support seamless collaboration.
• Foster collaboration: Create a transparent, communicative environment that encourages teamwork and drives collective success.
• Ensure customer satisfaction: Gather feedback from stakeholders and customers, ensuring the product meets their needs and expectations, and make necessary adjustments based on their input.

Senior Product Manager

• Design, build, and maintain scalable RESTful APIs
• Develop backend services using Python (Flask, FastAPI, Django, or similar)
• Deploy, operate, and monitor services running on AWS
• Design and work with relational databases (PostgreSQL, MySQL) and/or NoSQL databases (DynamoDB)
• Work directly with consulting clients to understand technical requirements, clarify use cases, and support implementation
• Translate client needs into technical designs and production-ready solutions
• Write clean, maintainable, well-tested code following modern engineering best practices
• Collaborate asynchronously with internal teams in a remote environment
• Participate in code reviews and contribute to technical design decisions

Senior Python Backend Engineer – AWS, Client-Facing

Platform Engineer

• Build and maintain Power Apps (often form-based apps) to collect and manage internal data.
• Create Power Automate flows for approvals, notifications, and routing tasks.
• Work heavily with SharePoint (lists, data capture, automation triggers).
• Connect data sources and ensure data moves cleanly between systems (e.g., SharePoint → other destinations).
• Handle multiple small projects in parallel; deliver quickly and iterate based on feedback.
• Collaborate with the business owner (Anna) and a technical product owner to clarify requirements and validate solutions.

Power Platform Developer – Power Apps, Power Automate

Data Engineer

• Design, build, and optimize Databricks pipelines in an Azure environment
• Develop reliable ETL/ELT workflows using PySpark / Spark SQL
• Implement and maintain data ingestion from multiple sources (APIs, DBs, cloud storage, etc.)
• Improve performance, scalability, and cost-efficiency of Databricks workloads
• Work with stakeholders to translate business needs into technical solutions
• Ensure best practices around data quality, monitoring, documentation, and maintainability
• Collaborate with cross-functional teams (data engineering, analytics, product, etc.)

Senior Data Engineer – Databricks, Azure

Ecommerce

• - Partner with Customer Success Managers to support a portfolio of enterprise accounts
• - Translate account success plans into structured project plans, timelines, and milestones
• - Coordinate onboarding, feature launches, optimizations, and expansion initiatives
• - Facilitate kickoff calls, status meetings, and working sessions
• - Track risks, blockers, and action items, driving accountability to resolution
• - Coordinate across Product, Engineering, Data, and Support teams
• - Ensure smooth handoffs between Sales, Customer Success, and Delivery
• - Maintain clear communication with customer stakeholders regarding timelines and dependencies
• - Support QBR preparation, milestone tracking, and follow-ups
• - Improve project management templates, tools, and delivery processes
• - Track operational metrics such as time-to-value and milestone completion
• - Contribute to scaling Customer Success operations as the company grows

Project Manager, Customer Success – AI & E-Commerce

AI Engineer

• Own end-to-end delivery: Design and build full-stack features from UI to backend to deployment.
• Ship real AI systems: Implement RAG, tool-calling, agent workflows, structured prompting, evals, and guardrails.
• Move fast, responsibly: Prototype quickly, then harden for security, reliability, and cost control.
• Use AI as a force multiplier: Work fluently with tools like Cursor, Claude Code, Windsurf, or Copilot to accelerate delivery while maintaining code quality.
• Make technical calls: Choose patterns, trade-offs, and scope boundaries without waiting for permission.
• Collaborate tightly: Work directly with strategists, clients, and other senior engineers to unblock progress.
• Light DevOps ownership: Configure environments, CI/CD, secrets, and deployments (with support when complexity grows).

Senior Full-Stack AI Engineer

Operations

• Education results. You are accountable for revenue, conversion and speed of improvement.
• How Education operates day to day. You decide priorities, tradeoffs, and what gets built, tested, or killed.
• The Education funnel. You identify what’s broken, fix it fast, and continuously raise the bar.
• The Education engine. You lead the team, set standards, and make the team more effective every quarter.
• Speed of improvement. Every month, Education should work better than the month before.
• Pressure-test product ideas from a commercial and operational standpoint
• Turn our products into high-performing offers
• Identify execution gaps, monetization opportunities, and funnel improvements
• Propose improvements based on data and user behavior