Jobs at Relanto

Designs visual assets for social media, marketing, branding, presentations, digital, and print. Creates basic video edits and motion graphics, maintains brand consistency, and collaborates with marketing and content teams. Uses Illustrator, Photoshop, Canva, PowerPoint, Premiere Pro, After Effects, and optionally Figma for layouts and prototypes.

Create branded visual assets for social media, marketing, digital, print, and presentations. Produce basic video edits, motion graphics, and animations using Adobe tools. Collaborate with marketing and content teams, maintain brand consistency, and adapt designs across platforms. Use Illustrator, Photoshop, Canva, PowerPoint, Premiere Pro, After Effects, and optionally Figma for layouts and prototypes.

Design, develop, test, and maintain Workato-based enterprise integrations and automation workflows. Build recipes, callable recipes, custom connectors, and integrations with Salesforce, Workday, NetSuite, ServiceNow, SAP, and other SaaS platforms. Develop REST and SOAP API integrations, data transformations, authentication, error handling, monitoring, and performance improvements. Collaborate with stakeholders, support testing and production releases, troubleshoot issues, and create technical and operational documentation.

Designs, configures, and supports Oracle EDMCS solutions, including applications, dimensions, viewpoints, hierarchies, validations, workflows, imports, exports, and integrations with Oracle EPM systems. Gathers requirements, manages metadata governance, performs data mapping and troubleshooting, prepares technical documentation, supports testing and deployments, and collaborates with finance, business, and technical stakeholders.

Develop and maintain Snowflake and dbt data transformation pipelines, including models, testing, macros, deployment, validation, and troubleshooting. Orchestrate pipelines with Apache Airflow and ingest data using Fivetran or similar ELT platforms. Apply Python and Cortex AI, with optional PySpark, Terraform, cloud data platforms, product analytics, semantic layers, and AI-assisted development tools.

Generates and qualifies B2B technology sales leads through cold calling, email, LinkedIn, and other outbound channels. Researches accounts, engages decision-makers, presents IT products and services, schedules qualified meetings, manages CRM data, follows up with prospects, and supports pipeline conversion. Collaborates with sales, marketing, and pre-sales teams while tracking activity, conversion, pipeline, and revenue targets.

Designs, develops, and supports production-grade real-time data pipelines using Apache Flink, Kafka, Debezium, ClickHouse, and Airflow. Responsibilities include stream processing, CDC ingestion, orchestration, analytical data modeling, API integrations, data quality, observability, troubleshooting, performance optimization, and reliability engineering. The role also involves architecture discussions, engineering best practices, mentoring data engineers, and supporting high-volume, low-latency distributed systems.

Develops and manages scalable data pipelines using Snowflake, SQL, dbt, and Airflow. Builds REST APIs and microservices with Python and FastAPI, implements CI/CD pipelines, and designs reusable Slack app frameworks. Collaborates cross-functionally on high-quality solutions and may support Salesforce Data Cloud administration.

Lead end-to-end software, AI/ML, data engineering, and analytics projects. Responsibilities include managing plans, budgets, resources, risks, dependencies, stakeholders, and delivery schedules; facilitating Agile/Scrum ceremonies; coordinating technical teams; translating business and technical requirements; reporting project status; supporting proposals and estimates; and driving continuous improvement.

Designs, develops, supports, and troubleshoots Oracle AP payment integrations with gateways, banks, treasury platforms, and Kyriba. Responsibilities include payment file processing, acknowledgments, interface monitoring, issue resolution, technical solution design, stakeholder collaboration, testing, deployment, production support, and documentation.

Designs, develops, and maintains scalable data pipelines, data architectures, quality processes, and integrations across varied sources. Troubleshoots data issues, monitors solutions to meet SLAs, documents infrastructure, and collaborates with stakeholders and cross-functional teams. Requires strong SQL, database management, dimensional and relational modeling, and Python or Java experience, with preferred expertise in cloud data warehouses, big data, ETL tools, orchestration, BI dashboards, and Agile delivery.

Manage project implementation, technical and functional deliverables, deadlines, budgets, quality standards, customer needs, process development, knowledge-transfer workshops, and client presentations. Lead subordinates, eliminate inefficient systems, guide design practices, and deliver solutions using Microsoft Office, PowerPoint, Adobe, visual design, and JavaScript. Requires travel or relocation to client sites throughout the United States, including short- and long-term assignments.

Develop and maintain automated tests for Salesforce Sales Cloud, Quoting, and CPQ processes. Build Playwright automation frameworks using Java, perform API and integration testing, and manage defects and test cases with appropriate tracking and test management tools. The role requires expertise in quote-to-cash processes such as order management, fulfillment, invoicing, billing, activation, or revenue recognition.

Analyzes business processes and systems, defines KPIs, improves system stability and data integrity, and supports Anaplan automation and roadmap initiatives. Coordinates cross-functional projects, testing, UAT signoff, backlog management, budgeting, timelines, and knowledge transition. Requires travel and relocation to client sites throughout the United States for short- and long-term assignments.

Manage complex programs and cross-functional project teams from scope definition through delivery. Responsibilities include developing work plans, budgets, timelines, and resource requirements; coordinating project managers and vendors; tracking business objectives and return on investment; identifying risks and opportunities; and producing program reports for stakeholders.

Manage project implementation, technical and functional deliverables, deadlines, budgets, schedules, and quality standards. Lead subordinates, improve processes, support customer needs, conduct knowledge-transfer workshops, and present solutions to clients and business users. Requires travel or relocation to client sites across the United States for short- and long-term assignments.

Develop and deploy scalable machine learning and generative AI solutions, including predictive models, LLMs, RAG architectures, vector database integrations, and autonomous AI agents. Build complete AI pipelines covering preprocessing, feature engineering, training, evaluation, deployment, and monitoring. Collaborate with stakeholders to identify AI opportunities and deliver production-grade solutions using modern software development, cloud, API, microservices, and responsible AI practices.

Design, develop, implement, test, and deploy software applications. Analyze information needs and data flows, gather user requirements, and evaluate procedures. Use Java, Oracle, MuleSoft, Python, and JavaScript. The role involves travel to client sites and various U.S. locations for short- and long-term assignments.

Lead Scrum and Agile delivery for data management, master data, and data governance initiatives. Facilitate Scrum ceremonies, remove impediments, manage conflicts, coordinate across teams, and collaborate with Product Owners on backlog prioritization and user stories. Track sprint performance using velocity, burndown charts, and capacity planning while promoting communication and stakeholder alignment. The role also requires knowledge of enterprise MDM platforms, data models, data quality, integration methods, privacy, and regulatory requirements.

Lead the design, development, deployment, and optimization of production-ready AI/ML systems, including LLM, generative AI, RAG, NLP, and deep learning solutions. Build ML pipelines, integrate vector databases and LLM application frameworks, deploy models across AWS, GCP, or Azure, and monitor ongoing performance. Collaborate with engineering and product teams while researching advanced algorithms and improving AI workflows. The role also requires expertise in data pipelines, ETL/ELT tools, data warehousing, and big data technologies.