Jobs at Blend360

Manage large-scale MarTech and customer data platform modernization initiatives. Coordinate business, technology, vendor, and cross-functional teams; maintain project plans, milestones, dashboards, RAID logs, governance, and documentation. Facilitate steering committees and delivery meetings, communicate risks and dependencies, and support migration activities involving cloud data platforms such as Snowflake and Databricks in a regulated financial services environment.

Process card-update requests through a web application by manually refreshing card information to trigger API updates. Track requests, meet 2–3 business day SLAs, maintain records, follow documented procedures, and escalate exceptions. The role requires accuracy, reliability, basic computer skills, communication, adaptability, and availability during US business hours. This is a remote, six-month contract with an evening EST shift.

Manage end-to-end, high-volume technical recruiting across LATAM, focusing on AI, data, BI, and software engineering roles. Source and screen candidates, coordinate interview pipelines, partner with U.S. hiring managers, maintain ATS records, and ensure strong candidate experiences. The role also requires Mexican market expertise to provide recruiting guidance and support regional growth.

Conduct supplier outreach to convert paper-check payments to commercial card and ACH methods. Explain payment options, answer questions, facilitate enrollment, manage follow-ups, document cases, and coordinate with suppliers, business customers, and internal teams. Research records, resolve routine issues, escalate exceptions, provide reporting data, and follow financial-services compliance and quality procedures while managing high-volume workflows.

Supports month-end close, general ledger maintenance, reconciliations, financial reporting, accounts payable, collections, payroll, tax activities, and audit preparation across multiple entities. The role uses NetSuite, FloQast, Excel, and Yooz while coordinating with accounting, billing, revenue recognition, tax advisors, and external stakeholders. It also emphasizes process optimization, automation, accuracy, and managing recurring monthly deadlines.

Lead the architecture, development, and production deployment of generative AI solutions using LLMs, transformer models, RAG pipelines, and agentic workflows. Design scalable cloud deployments, establish prompt engineering and evaluation practices, implement Responsible AI guardrails, and monitor model performance. Collaborate with engineering, product, data science, and MLOps teams to move solutions from prototypes to production. Mentor engineers and promote maintainable Python development, experimentation, KPI definition, and data-driven decision-making.

Lead the design, development, and production deployment of generative AI solutions using LLMs, transformer models, RAG pipelines, and agentic workflows. Build scalable multi-step AI agents, implement responsible AI guardrails, optimize cloud deployments, establish evaluation and monitoring practices, and collaborate with engineering, data science, MLOps, and product teams. Provide technical leadership while promoting maintainable Python code, experimentation, and data-driven decision-making.

Design, build, deploy, and maintain production-grade generative AI solutions using LLMs, transformers, RAG pipelines, and agentic systems. Develop prompts, evaluation frameworks, safety guardrails, and multi-step workflows integrating tools and APIs. Deploy and monitor AI applications across cloud environments while optimizing accuracy, cost, latency, reliability, and safety. Collaborate with Product, Engineering, and ML Ops to move prototypes into scalable production systems.

Lead end-to-end data science and AI initiatives focused on marketing optimization, predictive modeling, experimentation, and analytics. Partner with clients and cross-functional teams to translate business needs into solutions, build data pipelines, deploy machine learning and GenAI systems, and develop evaluation and safety frameworks. Manage people, project plans, stakeholder communication, and client-ready deliverables while supporting production ML and LLM applications.

Leads and mentors data scientists while overseeing end-to-end delivery of advanced analytics solutions. Develops pricing, segmentation, predictive, Bayesian, causal inference, marketing mix modeling, and optimization models. Deploys solutions through AWS SageMaker, establishes model governance and quality standards, and partners with clients and senior stakeholders to translate analytical findings into measurable business outcomes.

Leads a portfolio of AI, data, digital transformation, and customer experience programs from strategy through adoption. Establishes PMO governance, delivery frameworks, roadmaps, standards, and reporting; coordinates multidisciplinary teams; manages risks, budgets, dependencies, and executive forums; supports proposals and client engagements; coaches delivery professionals; and tracks measurable business value across enterprise initiatives.

Leads a $50M+ financial services and private equity client portfolio with full P&L accountability. Drives revenue growth, profitability, client retention, executive relationships, new business acquisition, and transformation initiatives spanning data, analytics, automation, modernization, and AI. Develops and coaches Client Partners, shapes strategic solutions, oversees delivery performance, and promotes employee engagement and growth.

Leads backend architecture and API development with Python and Flask while contributing to React and TypeScript frontend features. Designs cloud infrastructure on GCP, database solutions using Spanner, SQL, and BigQuery, and comprehensive testing strategies. Establishes CI/CD with GitHub Actions and Docker, promotes secure development practices, mentors engineers, and owns technical delivery and architectural decisions across full-stack feature teams.

Manage end-to-end credit card acquisition campaigns across digital, email, airport, call center, and direct mail channels. Coordinate campaign calendars, creative briefs, approvals, legal and compliance reviews, issuing bank partners, and performance reporting. Track applications, approvals, new accounts, milestones, and campaign KPIs. Identify process improvements and document playbooks to improve execution speed and support acquisition goals.

Designs and maintains scalable AWS data pipelines supporting batch, streaming, and CDC processing. Builds Spark and PySpark workflows, manages S3-based data lakes with Apache Iceberg, and uses Glue, Athena, Lambda, and IAM. Collaborates cross-functionally to deliver reliable data solutions, monitors pipeline health, resolves data quality issues, and documents architectures. Requires at least two years of cloud data engineering experience, strong AWS expertise, SQL, data modeling, and large-scale processing knowledge.

Designs and maintains scalable AWS data pipelines supporting batch, streaming, and CDC processing. Builds Spark and PySpark workflows, manages S3-based data lakes with Apache Iceberg, and uses Glue, Athena, Lambda, and IAM. Collaborates with analysts, data scientists, and engineers; monitors pipeline health, resolves data quality issues, and documents architecture and standards.

Designs and maintains scalable AWS data pipelines supporting batch, streaming, and CDC processing. Builds Spark and PySpark workflows, manages S3-based data lakes with Apache Iceberg, and uses Glue, Athena, Lambda, and IAM for orchestration, querying, event processing, and access control. The role monitors pipeline health, resolves data quality issues, documents architecture, and collaborates with analysts, data scientists, and platform engineers. Requires at least two years of hands-on AWS data engineering experience.

Build and maintain scalable AWS data pipelines and ingestion frameworks for batch, streaming, and CDC workloads. Develop Spark and PySpark transformations, manage S3-based data lakes with Apache Iceberg, and use Glue, Athena, Lambda, and IAM. Collaborate cross-functionally, monitor pipeline health, resolve data quality issues, document architectures, and deliver reliable production data solutions.

Leads full-stack technical delivery across backend and frontend systems. Designs Python and Flask APIs, develops React and TypeScript features, manages GCP infrastructure, optimizes databases, and establishes testing and CI/CD practices. Champions secure development, mentors engineers, guides architecture decisions, and ensures deployment readiness. The role also supports AI-assisted development workflows and may contribute to async architectures, BigQuery analytics, Spanner, agent-based integrations, and infrastructure as code.

Lead backend architecture and API development with Python and Flask while contributing to React and TypeScript frontend features. Manage GCP infrastructure, databases, testing, CI/CD, security practices, and production deployments. Own technical delivery, make architectural decisions, mentor engineers, and promote maintainable full-stack development. The role also involves AI-assisted development workflows and collaboration across feature teams.