Lead Product Manager responsible for self‑service analytics and instrumentation, setting vision, strategy, and roadmap, and driving adoption across product, engineering, and business teams.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Primary Location | Pay Range: San Jose, California: ($176,500.00 - $262,350.00 Annually)
Responsibilities
Set the vision, strategy, and roadmap for self‑service analytics and instrumentation
Build AI‑powered analytics experiences such as conversational querying, automated root‑cause analysis, and AI agents
Make AI‑generated answers trustworthy, accurate, explainable, and grounded in governed data
Drive adoption across product, engineering, and business teams through enablement, training, and feedback loops
Lead cross‑functional initiatives, manage dependencies and risks, and communicate progress to senior leadership
The Senior Data Engineer will own the design, development, and operation of reliable data pipelines and reusable datasets that support Fortra’s cybersecurity and Machine Learning (ML) products.
Responsibilities
Lead highly complex data engineering projects with extensive latitude for independent judgment.
Own dataset management, including schemas, data dictionaries, source provenance, data lineage, and reproducible dataset versions, ensuring datasets remain current, accurate, and fit for purpose.
Own all aspects of the Extract, Transform, Load (ETL) process, including reliable ingestion, retries, backfills, and recovery from partial failures.
Identify and resolve data quality issues through automated schema validation, deduplication, and missing-data checks.
Implement monitoring, testing, and CI/CD processes in collaboration with ML engineers to ensure high data quality and system reliability.
Requirements
Nice to have: ML dataset support
Nice to have: annotation workflows
Nice to have: reproducible training and evaluation splits
We are seeking an experienced Expert Business Integration Specialist with a background in IT Configuration Management, Database Administration, IT Service Management, and Technical Project Management to plan, implement, manage, and continuously improve configuration management systems and databases within a complex digital transformation environment.
Responsibilities
Design, establish, and administer a Configuration Management Database (CMDB) supporting ITIL-based service management processes.
Configure and maintain configuration management systems, product libraries, and access permissions.
Initialize, manage, and maintain products and product configurations according to defined requirements.
Ensure consistent configuration deployment across development, testing, and production environments.
Plan and execute database migrations, upgrades, and system optimization activities.
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