At Precisely, we're not just building software — we're shaping the future of data integrity. As a global leader in data quality, data enrichment, and location intelligence, Precisely helps thousands of the world's most trusted brands make confident decisions with data they can rely on. We're an AI-first organization, which means artificial intelligence isn't a buzzword here — it's woven into how we build products, how we work, and how we think about solving complex problems for our customers. When you join Precisely, you join a team of curious, driven innovators who believe that better data makes the world run better. If you're ready to do meaningful work at the intersection of AI and data — and help define what's possible — we'd love for you to apply!

Overview:

The role will be responsible for translating product strategy and business priorities into a coherent set of features for one or more scrum teams. Take on multiple roles including Feature lead, Developer, product designer, QA, and project manager. Key member of the team strategizing and presenting the future vision of the product to business and technology stakeholders in collaboration with the Product Manager.

What you will do:

Execute the product vision, roadmap, and growth opportunities.
Helps conduct market and competitive analysis, defines products to serve those needs, the addressable market, ability to penetrate and sell, and overall business justification and strategic fit for products.
Help execute the value proposition and business case.
Provides team leadership through communication and coordination of cross functional teams at all levels of the organization.
Leads architecture for all components in an investment segment. May focus on one component but must have expertise across all components.
Responsible for design of systems in the investment segment.
Actively supports Product Manager in the Product Planning, business performance of one or more products.
Engage with customers throughout the product lifecycle to better glean product insights.
Understand requirements that comes from stakeholders and helps turn them into consumable backlog items for the team.
Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
Ensure the backlog is prioritized in order before the sprint.
Coordinate with appropriate architects to ensure tech decisions are made and implemented. Also Identifying business process improvements and opportunities for automation.
Work with the Product Manager and Engineering Leader to propose percentage of effort for different types of value in each release.
Participates in technical and sales enablement.

What we are looking for:

Bachelor’s Degree (or higher) in business or technical field.
8+ years of industry experience in the areas of data engineering and product management.
Expertise in Java for backend development.
Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs.
Track record of Designing and developing data products or software products.
Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is a must.
Basic understanding of agile and scrum methodologies is a must.
Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Code fresh
Working knowledge of data ETL will be preferred.
Experience with data visualization tools such as Tableau, Power BI etc.
Ability to communicate with various stakeholders at all levels of the organization.
Excellent verbal and written communication skills.
Excellent interpersonal skills and active listener.
Able to set and meet time-sensitive goals.
Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams.

AI Skills/Knowledge:

AI-assisted development: Experience using tools such as GitHub Copilot and Cursor to support coding, code review, documentation, and test generation.
LLM and agentic workflows: Familiarity with LLM APIs and agent-based workflows, with the ability to apply them thoughtfully in software engineering use cases.
Responsible AI practices: Understanding of responsible AI principles, including bias mitigation, security considerations, explainability, and appropriate use of AI-generated outputs.

Preferred Skills (a plus but not required):

Familiarity with frontend scripting languages such as Node.js and React.js
Understanding of spark framework along with Snowflake and Databricks.
Hands on Terraform will be advantageous.

#LI-SA1

Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.

The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice

Overview:

What you will do:

Execute the product vision, roadmap, and growth opportunities.
Helps conduct market and competitive analysis, defines products to serve those needs, the addressable market, ability to penetrate and sell, and overall business justification and strategic fit for products.
Help execute the value proposition and business case.
Provides team leadership through communication and coordination of cross functional teams at all levels of the organization.
Leads architecture for all components in an investment segment. May focus on one component but must have expertise across all components.
Responsible for design of systems in the investment segment.
Actively supports Product Manager in the Product Planning, business performance of one or more products.
Engage with customers throughout the product lifecycle to better glean product insights.
Understand requirements that comes from stakeholders and helps turn them into consumable backlog items for the team.
Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
Ensure the backlog is prioritized in order before the sprint.
Coordinate with appropriate architects to ensure tech decisions are made and implemented. Also Identifying business process improvements and opportunities for automation.
Work with the Product Manager and Engineering Leader to propose percentage of effort for different types of value in each release.
Participates in technical and sales enablement.

What we are looking for:

Bachelor’s Degree (or higher) in business or technical field.
8+ years of industry experience in the areas of data engineering and product management.
Expertise in Java for backend development.
Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs.
Track record of Designing and developing data products or software products.
Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is a must.
Basic understanding of agile and scrum methodologies is a must.
Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Code fresh
Working knowledge of data ETL will be preferred.
Experience with data visualization tools such as Tableau, Power BI etc.
Ability to communicate with various stakeholders at all levels of the organization.
Excellent verbal and written communication skills.
Excellent interpersonal skills and active listener.
Able to set and meet time-sensitive goals.
Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams.

AI Skills/Knowledge:

AI-assisted development: Experience using tools such as GitHub Copilot and Cursor to support coding, code review, documentation, and test generation.
LLM and agentic workflows: Familiarity with LLM APIs and agent-based workflows, with the ability to apply them thoughtfully in software engineering use cases.
Responsible AI practices: Understanding of responsible AI principles, including bias mitigation, security considerations, explainability, and appropriate use of AI-generated outputs.

Preferred Skills (a plus but not required):

Familiarity with frontend scripting languages such as Node.js and React.js
Understanding of spark framework along with Snowflake and Databricks.
Hands on Terraform will be advantageous.

#LI-SA1

Senior Software Engineer II (Java Microservices)

What we know about this role

Skills required

Job description

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