
1001 - 5000 employees
Founded 2011
🏢 Enterprise
☁️ SaaS
🔐 Security
💰 Private Equity Round on 2022-04
Enterprise • SaaS • Security
Precisely is a comprehensive data integrity and data intelligence company serving enterprises worldwide. It provides a range of products focused on achieving data accuracy, consistency, and context, such as the Data Integrity Suite, location intelligence solutions, and security and event management tools. The company's solutions include data integration, data management, spatial analytics, and process automation, supporting platforms like AWS, Microsoft Azure, IBM systems, SAP, and ServiceNow. Precisely helps organizations enhance their customer engagement and decision-making processes by transforming data into strategic assets, promoting high availability, disaster recovery, and compliance with security regulations.
🔥 13 hours ago
Where this job comes from
Posted on Precisely's careers page, not through a job board
First seen by Remote Rocketship 13 hours ago
Still open on Precisely's site. Checked 28 minutes ago.

1001 - 5000 employees
Founded 2011
🏢 Enterprise
☁️ SaaS
🔐 Security
💰 Private Equity Round on 2022-04
Enterprise • SaaS • Security
Precisely is a comprehensive data integrity and data intelligence company serving enterprises worldwide. It provides a range of products focused on achieving data accuracy, consistency, and context, such as the Data Integrity Suite, location intelligence solutions, and security and event management tools. The company's solutions include data integration, data management, spatial analytics, and process automation, supporting platforms like AWS, Microsoft Azure, IBM systems, SAP, and ServiceNow. Precisely helps organizations enhance their customer engagement and decision-making processes by transforming data into strategic assets, promoting high availability, disaster recovery, and compliance with security regulations.
• Own the technical direction of Data Solutions on Precisely’s AI Studio • Support the overall Data API, Cloud, and SaaS strategy • Set the roadmap and drive engineering understanding of the backlog for the hosted MCP Server, Skills, Agents, and Apps • Assist with technical requirements, development resources, and documentation for Precisely Data APIs • Serve as the technical subject matter expert for Data Solutions and content on AI Studio • Build and test prototype solutions using AI tools • Work with Sales Engineers to validate proposed solutions for field-verified use cases • Create detailed engineering requirements to convert prototypes into hardened products • Conduct industry and market research on AI advancements to identify revenue opportunities and apply best practices • Own and prioritize the backlog across multiple engineering teams, including features, enhancements, defects, and technical debt • Support customer escalations through triage, engineering root-cause analysis, fix validation, and customer-facing resolution • Bridge Product, Engineering, QA, Support, and external customers through weekly review calls and solution definition reviews • Advise on communications, release notes, and other documentation
• At least 5 years of professional experience in a technical role (software development, solutions engineering, data analytics, QA, or similar), or a recent college graduate with a degree in Artificial Intelligence or a related technical field • Strong foundational knowledge of AI tools, integrations, and the modern AI ecosystem, including LLMs, AI agents, MCP servers, and API-based developer tooling • Hands-on experience using AI tools (Claude, Copilot, ChatGPT, or equivalent) to build, test, or evaluate solutions through coursework, personal projects, internships, or work experience • Ability to read and understand REST API documentation, basic software architecture concepts, and technical design discussions • Strong written and verbal communication skills, comfortable translating technical concepts for engineering and business audiences • Demonstrated curiosity and self-driven learning in the AI/ML space • Coursework, certifications, or hands-on project experience with AI/ML technologies, prompt engineering, or agent-based architecture • Comfort using AI tools to accelerate work, including drafting requirements, reviewing code, testing outputs, or prototyping solutions • Familiarity with MCP servers, AI agents, skills/apps frameworks, or LLM APIs • Some international travel may be required
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