Senior Technical Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the roadmap, vision, and execution for the Generative AI platform.

• Align new capabilities with strategic business objectives to deliver measurable value to the organization.

• Develop, maintain, and effectively communicate the vision and roadmap for the Generative AI platform.

• Manage the strategy, prioritization, and execution of platform capabilities and supporting data products.

• Identify high-impact use cases in collaboration with business stakeholders and convert needs into capabilities, technical requirements, epics, user stories, and acceptance criteria.

• Prioritize features, enhancements, dependencies, platform capabilities, and technical debt in partnership with engineering, data, architecture, security, governance, and business partners.

• Lead backlog refinement, sprint planning, product prioritization, release planning, and release management alongside Agile delivery teams.

• Collaborate with technical teams on APIs, data models, ETL/ELT pipelines, data architecture, and enterprise data platform capabilities.

• Define requirements for platform performance, availability, scalability, reliability, security, data quality, and operational readiness.

• Integrate data governance, metadata, lineage, privacy, retention, access controls, security, and responsible AI requirements into planning and execution.

• Establish and monitor KPIs for adoption, usage, performance, data quality, reliability, delivery, and business impact.

• Assess emerging Generative AI, machine learning, cloud, and data platform technologies to inform long-term product strategy.

• Collaborate closely with the VP of Generative AI Platform and stakeholders across business, engineering, data, analytics, architecture, security, and governance.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related discipline.

• Over 7 years of product management experience, particularly with complex technical, data, cloud, AI, or platform products.

• Demonstrated experience in developing and managing intricate technical product roadmaps and leading cross-functional initiatives from strategy to execution.

• Proven ability to translate business requirements into product specifications, technical documentation, epics, user stories, and acceptance criteria.

• Strong grasp of artificial intelligence and machine learning concepts, Generative AI technologies, and cloud infrastructure.

• Comprehensive understanding of enterprise data platforms, including data warehouses, data lakes, APIs, data pipelines, data modeling, and data architecture.

• Experience with ETL/ELT pipelines and familiarity with modern cloud or data platforms such as AWS, Microsoft Azure, Google Cloud Platform (GCP), Snowflake, Databricks, Amazon Redshift, or Google BigQuery.

• Proficient in SQL.

• Knowledgeable in data quality, metadata management, data lineage, data governance, privacy, security, access controls, and Agile/Scrum delivery methodologies.

• Exceptional communication, leadership, strategic thinking, and problem-solving skills, capable of translating complex technical concepts into business-oriented language.

• Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship or takeover of sponsorship, including CPT/OPT, is not available.

• Must have reliable high-speed internet with a wired connection and a suitable home workspace for remote work.

🏝️ Benefits

• Medical, dental, vision, and life insurance.

• Retirement savings options, including a 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contributions, and a diverse investment lineup.

• Tuition reimbursement available up to $5,250 per year.

• Business-casual environment, allowing for jeans to be worn.

• Generous paid time off upon hire, including a paid time off program, ten paid company holidays, and three floating holidays each year.

• Paid volunteer time, totaling 16 hours per calendar year.

• Leave of absence programs, including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA).

• Business Resource Groups (BRGs) available for all employees, promoting inclusion and collaboration.

• Opportunity for bonuses for non-sales positions.

• Reliable high-speed internet and wired connection; necessary computer equipment provided for remote and hybrid roles.