Jobs at Blend360

Drive measurement and optimization for multi-channel digital media campaigns. Build reports and dashboards, analyze performance with SQL and Python, develop measurement frameworks (attribution, MMM), support test-and-learn, ensure data quality, and deliver actionable insights to media and marketing stakeholders.

Design, build, and maintain low-code/no-code agents and workflows to automate finance operations (billing, collections, payables, reconciliations, close). Ensure accuracy, explainability, auditability, and controls; map current-state processes, build future-state workflows, create metrics and dashboards, and support finance transformation across systems and stakeholders.

Build and deploy AI-powered applications and internal platforms across the stack. Contribute to backend services, APIs, integrations, and frontend components. Support LLM and AI solution development, rapidly prototype ideas, maintain production-quality code, and collaborate with cross-functional teams to translate requirements into scalable, reusable systems.

Lead media measurement and analytics across digital and offline channels. Develop measurement frameworks, analyze cross-channel performance, run test-and-learn programs, interpret MMM, and provide actionable recommendations. Use SQL and Python for analysis, partner with stakeholders, launch audience/media products, and mentor analysts.

Design, build, and continuously improve low-code/no-code agents, workflows, controls, and metrics for finance operations. Support billing, collections, payables, reconciliations, close processes, reporting, and decision support. Ensure outputs are accurate, explainable, auditable, and scalable across systems and entities while partnering with finance, IT, and business stakeholders.

Design, build, and maintain scalable Snowflake-based data ingestion and ETL pipelines. Transform, normalize, and validate large datasets using Python and SQL, implement data quality checks and monitoring, support file ingestion workflows, document processes, and collaborate with stakeholders to deliver reliable datasets for analytics and business workflows.

Lead design, launch, and continuous improvement of Blend's global People Development programs. Build learning journeys, curriculum, and scalable frameworks for technical and consulting talent. Own program strategy, operations, measurement, and stakeholder alignment. Use data to evaluate impact and partner with People Ops to scale onboarding, performance, and career development.

Lead design and deployment of Bayesian Marketing Mix Models: build probabilistic models (PyMC/Stan), implement adstock and saturation functions, run MCMC diagnostics, construct causal inference analyses and optimization frameworks for budget allocation, translate results to stakeholders, produce production-quality Python code, and mentor junior data scientists.

Design and deploy customer analytics and marketing science solutions (segmentation, MMM, causal inference, A/B testing). Engineer features, build production-ready ML workflows, apply explainability (SHAP/LIME), partner with stakeholders, and mentor junior staff to optimize media investments and measurement.

Lead Pega CDH architect responsible for designing and implementing Pega Decisioning/CDH solutions, building decisioning components and data models, overseeing deployment and code-merge, collaborating with business and tech teams, and ensuring timely delivery of adaptive and predictive analytical models and outbound strategies.

The Lead Data Scientist will design, develop, and deploy Machine Learning models, collaborate with teams to integrate solutions, and implement MLOps practices while providing mentorship and communicating findings effectively.

The Data Quality Engineer is responsible for ensuring data quality and reliability across data platforms, validating pipelines, implementing automated checks, and collaborating with teams to deliver accurate data assets.

The Data Quality Engineer will ensure data quality and reliability across data platforms, validating pipelines and implementing automated checks, while collaborating with data engineering and business teams.

The Data Quality Engineer ensures data quality and consistency across Azure and Databricks platforms by validating data pipelines, implementing automated checks, and collaborating with teams to confirm reliable data assets.

The Senior AP Analyst manages accounts payable operations, including vendor payments, reconciliations, and process improvements for multi-entity transactions. Responsible for AP cycle management, corporate card reconciliations, and cross-departmental communications.

The Marketing Operations professional will support the execution of marketing campaigns, ensure smooth processes, and build relationships across teams.

The GL Analyst assists with month-end close activities, general ledger maintenance, report preparation, and supports accounts payable and payroll processes.

The Data Quality Engineer will implement a data quality framework, validate data pipelines, and collaborate with Data Engineering to ensure accurate data across platforms.

Lead design and implement Snowflake-based, scalable ELT ingestion pipelines and data validation frameworks. Enforce Medallion Architecture, ensure data quality and governance, optimize AWS data infrastructure, mentor engineers, and manage client-facing technical delivery.

Lead design and implementation of Snowflake-based ELT pipelines and Medallion Architecture. Build data ingestion, validation, and governance frameworks on AWS. Guide data engineering best practices, identify risks, and drive documentation and continuous improvement while interfacing with clients.