Jobs at Relanto

Architects and delivers end-to-end agentic AI solutions using GCP, Python, LLMs, vector databases, and modern frontend frameworks. Designs scalable backend and cloud-native architectures, leads AI-focused workshops and proof-of-concepts, and establishes DevOps, microservices, and CI/CD practices. Collaborates with clients and engineering teams to translate business needs into technical roadmaps, while mentoring distributed teams and guiding architectural reviews.

Develops and manages data pipelines with Snowflake, SQL, dbt, and Airflow; builds REST APIs and microservices using Python and FastAPI; supports Salesforce Data Cloud; implements CI/CD; creates reusable Slack app frameworks; and collaborates cross-functionally on scalable solutions.

Implement, configure, and support Oracle GL and ORMCS modules. Gather requirements, design and configure Oracle Financials solutions, perform testing and deployment, validate and reconcile data, resolve implementation and production issues, and provide post-go-live support. Collaborate with business users, technical teams, and stakeholders while preparing functional designs, process flows, and user documentation.

Designs Salesforce architecture, documents technical solutions, guides development teams, and supports implementation across Salesforce and integrated enterprise systems. Leads system integration and user acceptance testing, resolves application issues, reviews business requirements, and ensures scalable, maintainable solutions. The role also covers Salesforce configuration and development, data migration, integrations with platforms such as ServiceNow and Snowflake, cloud-based extensions using Heroku or AWS, messaging systems, and CI/CD processes.

Designs, develops, and implements Anaplan solutions using EPM expertise. Translates business requirements into technical designs, builds complex models, dashboards, integrations, and testing plans, and leads application development projects. Collaborates with stakeholders, architects, business analysts, and cross-functional teams throughout planning, testing, deployment, documentation, and training. The role also promotes connected planning, ensures data integrity, and supports Sales and Operations Planning solutions.

Own product discovery, requirements gathering, prioritization, and delivery for B2B SaaS data products. Translate ambiguous business problems into product requirements, user stories, and technical specifications while collaborating with engineering, data, and business stakeholders. Requires strong knowledge of Snowflake, Databricks, Amazon Redshift, data engineering ecosystems, and scalable enterprise data solutions. End-to-end product management ownership is essential.

Own data product initiatives from requirements gathering through delivery, partnering with Data Engineering and business teams. Responsibilities include translating requirements into user stories, managing backlogs, prioritizing roadmaps, coordinating stakeholders, tracking project milestones and risks, and maintaining dashboards and reporting accuracy. The role requires strong knowledge of data models, pipelines, analytics workflows, and project tracking tools such as Linear or Jira.