Program Manager, Engineering Operations

This role administers and maintains the Atlassian suite (Jira, Confluence, Bitbucket) across the organization. The administrator will manage user access, configure workflows, and ensure system reliability and integration with other tools.

This role involves administering Atlassian tools (Jira, Confluence, etc.) within the organization. It likely includes configuration, user management, and workflow optimization to support internal teams.

This Atlassian Administrator II supports the day-to-day administration and operation of Braze's Atlassian platforms, including Jira, Jira Service Management, and Confluence. The role manages the request queue, configures projects and workflows, and builds Jira Automation rules to reduce manual work. Responsibilities include supporting Rovo agents, creating JQL queries and dashboards, and maintaining documentation and training materials.

This senior consulting role involves delivering Atlassian solutions to clients, leveraging expertise in the Atlassian ecosystem. The consultant will work on complex implementations and optimizations, supporting Idalko's position as a Platinum Atlassian Solutions Partner.

This Customer Success Manager for SMB clients serves as the primary point of contact, managing onboarding, training, and engagement to drive adoption and retention. The role involves identifying churn risks, uncovering upsell opportunities, and acting as a trusted advisor using data-driven insights. Requires 2-3 years of experience in customer success, account management, or digital marketing, with strong analytical and presentation skills.

This Senior Product Data Scientist owns the investors vertical, working directly with hedge funds, private equity, and venture capital firms to build datasets and data feeds for investment decisions. The role involves handling complex custom requests, building custom reports end-to-end, and partnering with engineering to scale solutions. Requires 3+ years of Python/SQL/pySpark experience, background in investment industry or data provider, and strong client-facing skills.

This Data Team Lead manages and mentors a team of data engineers, architecting scalable cloud data pipelines on AWS with Python and Spark, and integrating AI/LLM agentic workflows. The role also involves serving as a technical lead for enterprise clients, leading discovery sessions, scoping custom data solutions, and handling escalations. Requires 5+ years in data engineering with 2+ years in leadership, strong Python and PySpark skills, and experience with customer-facing technical roles.