avra

• Lead the full-stack platform architecture • Work with founders to establish organizational standards • Manage complex components in multi-cloud environments (AWS and GCP) • Serve as the technical liaison between data and product teams • Implement CI/CD and define testing strategies • Mentor senior and mid-level engineers

• Pipeline & Workflow Orchestration. Design and operate orchestrated workflows, ensuring clear execution semantics, observability, and resilience. • Data Modeling & Transformation. Design and maintain scalable transformation layers using dbt, BigQuery, Spark, Ray or equivalent tools, enabling reliable downstream consumption. • Data Quality & Platform Standards. Define and enforce standards around data quality, contracts, schema validation, lineage, and metadata. • Handling Real-World Data Complexity. Work with incomplete, inconsistent, and evolving data sources. Handle schema drift, edge cases, and operational failures with strong engineering judgment. • Cloud & Infrastructure Integration. Operate within cloud-native environments (GCP/AWS), working with storage, messaging (e.g., Pub/Sub), and infrastructure as code. • Platform Improvement & Simplification. Continuously improve systems by increasing observability, reducing operational risk, and simplifying architecture.

• Build and maintain data pipelines. Implement pipelines that ingest and process data from APIs, files, and external systems. • Contribute to orchestration workflows. Work with tools like Dagster (or similar) to build and maintain data workflows. • Support data modeling efforts. Help structure datasets and transformation layers to improve usability and consistency. • Work with real-world data issues. Investigate data inconsistencies, handle schema changes, and debug pipeline failures. • Improve reliability over time. Add monitoring, logging, and checks to make systems more observable and stable. • Collaborate with the team. Work closely with senior engineers and other teams to understand problems and implement solutions.

• Innovative Model Architecture: Design, implement, and refine new machine learning and deep learning architectures by staying current with academic research and reading relevant papers daily. • End-to-End Pipeline Management: Build, test, and monitor robust data pipelines and training processes, ensuring scalability and reliability in production environments. • Model Fine-Tuning & Customization: Adapt and optimize our foundational models for various client needs, leveraging experimentation and hyperparameter tuning platforms. • Application Development: Develop diverse AI-driven applications that integrate seamlessly with our platform, translating research insights into real-world solutions. • Product Integration: Collaborate with engineering and product teams to transform complex business challenges into technical solutions that harness the power of frontier research. • Technical Leadership: Take full technical ownership of research projects, making strategic decisions that directly influence the evolution of our products.

• Hunt and close enterprise accounts • Prospect, qualify, and develop new opportunities with large strategic accounts • Create compelling, customized presentations for each audience • Guide the client through initial implementation and ensure a smooth transition • Share customer learnings and competitive intelligence internally • Think creatively about how to structure deals

• Develop and implement a strategic vision for information security, aligned with business objectives and focused on the continuous improvement of the area's processes and controls. • Manage contracts, assets, and services related to information security, ensuring their optimal efficiency. • Define information security standards and policies to protect information assets and support business continuity. • Ensure regulatory compliance applicable to the company and adherence to industry best practices. • Collaborate with technology teams to define and implement effective security integration strategies across the development lifecycle, from design through production. • Analyze and respond to information security incidents, map threats and vulnerabilities, and develop projects to prevent or remediate them. • Lead risk management, threat modeling, and impact assessments for new products, features, and partnerships. • Lead training and enablement programs to build a strong security culture across the company. • Provide support for internal and external audits. • Evaluate and monitor security KPIs, keeping leadership informed about the maturity of the information security program. • Respond to requests and support the provision of the company's ISMS (SGSI) information to clients and other stakeholders as needed.