• Design and implement scalable data architecture for targeting and engagement • Serve as technical partner to program teams • Extend our foundational datasets to facilitate new outreach strategies • Load-test our systems to prepare for elections • Maintain key datasets for polling images and precinct cross-matching • Develop standardized experimental frameworks for testing campaign effectiveness • Build AI tooling that makes our own team faster — QC agents for data deliveries, the evals to trust them, and context systems that keep our repos self-documenting • Shape the pipelines and integrations feeding our RCT platform and our foundational voter datasets: the APIs, replication, federation layers, experiment randomization, and the failure modes that come with running data systems for hundreds of partner organizations on a non-negotiable political calendar • Extend our data platform and orchestration layer, and optimize it for cost, runtime, and reliability so it holds up during the elections, with millions of outreach attempts • Lead projects that span multiple systems and teams — scoping, designing, and driving them to real milestones • Hold the bar on quality — test and validate your own work, review teammates' code, and mentor through that review • Document and communicate — make your systems understandable to teammates, stakeholders, and non-engineers • Rotate through on-call and rapid response, including evenings and weekends during high-stakes moments like election cycles

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems • Implement integrations using Java or Scala, ensuring scalability and resilience • Handle both full data loads and incremental updates efficiently • Collaborate with engineering and product teams to align on integration and data needs • Develop and maintain a unified internal data model • Ensure data quality, detect and resolve incorrect or incomplete data • Utilize AI-assisted tools to improve data quality and operational efficiency • Monitor and optimize data pipelines for production readiness

Role Description As our CPO, you'll own the entire product lifecycle—from vision to execution. You'll define the product strategy in alignment with our technical roadmap, market needs, and user feedback. You’ll work closely with engineering, marketing, and executive leadership to shape innovative Web3 products that solve real problems and scale globally. Responsibilities - Product Strategy & Vision: - Define and execute a compelling product vision aligned with our company’s mission. - Stay ahead of trends in crypto, DeFi, NFTs, and Web3 to guide long-term product planning. - Team Leadership: - Build, mentor, and lead a high-performing team of Product Managers, Designers, and Analysts. - Foster a culture of innovation, user-centricity, and continuous improvement. - Execution & Delivery: - Prioritize product features using data, user feedback, and business goals. - Collaborate with engineering to ensure timely, high-quality releases. - Define and track KPIs and success metrics for product performance. - Stakeholder Collaboration: - Partner with marketing, community, compliance, and operations to ensure product-market fit and regulatory readiness. - Communicate product plans and progress to the executive team, investors, and community. Qualifications - Proven experience (8+ years) in product leadership, ideally with 5+ years in a crypto/blockchain company. - Deep understanding of crypto protocols, DeFi, wallets, exchanges, tokens, and/or smart contracts. - Strong background in user-centered design, agile development, and lean product methodologies. - Experience scaling consumer or developer-facing products in fast-paced environments. - Excellent communication skills with both technical and non-technical stakeholders. - Passion for Web3 and a strong belief in decentralized technology. - Level of studies: Bachelor’s or Master’s degree in Computer Science or related field. - Language Requirements: Fluent in English. Benefits - Competitive Financial Compensation: We offer financial benefits that reflect the value of your work and dedication. - Work Flexibility: Enjoy the flexibility to work from home, the office, or even abroad. - Annual Holidays: Generous paid time off to help you maintain a healthy work-life balance. - Relocation Assistance: We provide relocation support for employees moving to new locations. - Professional Development: Opportunities for training, certifications, and career growth. - Employee Recognition: Programs to celebrate and reward your achievements and contributions. - Inclusive & Collaborative Culture: A supportive and diverse work environment where your voice matters. - Diversity, Equality, and Inclusion: We are committed to fostering a workplace that values diversity and promotes equality and inclusion for all employees.

Role Description We are seeking a highly skilled and experienced Senior Data Engineer with solid expertise in AWS, Azure & GCP, along with proficiency in modern data transformation tools such as dbt and Databricks. - Conceptualizing and implementing scalable and secure cloud-based data solutions. - Shaping our cloud data strategy to ensure our data infrastructure aligns with organizational requirements and advances business objectives. - Collaborating closely with esteemed global clients to deliver top-tier solutions in the expansive field of Data & Analytics. Qualifications - 5+ years of professional experience in the Data & Analytics field. - Proven experience as a Cloud Data professional, with expertise in AWS, Azure & GCP, dbt & Databricks. - Solid knowledge of cloud data services, data warehousing, big data technologies, and data lakes. - Proficiency in data modeling, data integration, and ETL processes. - Good grasp of business processes and the ability to promote automation through effective management. - Proficient knowledge and understanding of architecture, application design, systems engineering, and integration. - A bachelor’s degree in computer science, information technology, or a related field. A master’s degree is a plus. Requirements - 5+ years of professional experience in the Data & Analytics field. - Proven experience as a Cloud Data professional, with expertise in AWS, Azure & GCP, dbt & Databricks. - Solid knowledge of cloud data services, data warehousing, big data technologies, and data lakes. - Proficiency in data modeling, data integration, and ETL processes. - Good grasp of business processes and the ability to promote automation through effective management. - Proficient knowledge and understanding of architecture, application design, systems engineering, and integration. - A bachelor’s degree in computer science, information technology, or a related field. A master’s degree is a plus. Benefits - Challenging and innovative big data projects. - Continuous learning and career development in a fast-growing data-driven industry. - Competitive salary package. - Flexible and supportive work environment.