Technical Product Manager

Job Responsibilities

Own specific product lines, features, or datasets within a defined domain

Define product strategy, roadmap, and lifecycle across data and AI-driven products

Validate incoming requests from sales, engineering, and customers, separating true problems from noise

Partner directly with customers and internal stakeholders to understand needs, constraints, and use cases

Refine AI-generated product requirements and workflows for accuracy, completeness, and usability

Translate complex business problems into structured workflows, data models, and decision logic

Produce clear, implementation-ready product specifications, including requirements, data contracts, and acceptance criteria

Ensure requirements reflect system architecture, dependencies, integrations, and real-world constraints

Participate in architecture and design discussions, making informed technical tradeoffs

Own embedded BI and reporting capabilities, ensuring dashboards and data products are accurate, performant, and valuable

Ensure strong data governance, including semantic consistency, data quality, and reliability across product surfaces

Collaborate closely with engineering, data, and business teams to deliver high-quality product outcomes

Stay engaged throughout execution to resolve questions, guide decisions, and ensure alignment to product intent

Incorporate production feedback and customer insights into future product iterations

Required Qualifications

5+ years of experience in product management or equivalent experience in engineering, data, or analytics roles

Strong technical background with the ability to understand system architecture, APIs, and integrations

Proficiency in SQL and the ability to work directly with data models, schemas, and table-level structures

Demonstrated ability to translate customer and business needs into clear, actionable product requirements

Experience working closely with engineering and data teams on technical or platform-based products

Strong problem-solving skills and ability to make and own decisions in high-autonomy environments

Experience engaging with customers or external stakeholders in a technical capacity

Preferred Qualifications

Experience in payments, fintech, or enterprise SaaS environments

Experience building or shipping data products, analytics platforms, or BI/reporting solutions

Familiarity with modern data platforms (such as Snowflake) and BI tools (such as Sigma)

Experience working in AI-enabled or automation-driven product environments

Strong understanding of AI product principles, including semantics, grounding, and data quality

Familiarity with agentic AI frameworks or orchestration tools (such as LangChain or similar)

Experience with data governance, semantic modeling, and data quality frameworks

Strong ability to identify gaps, edge cases, and risks in product or technical designs

Experience supporting complex customer or partner integrations

Ability to influence cross-functional teams without owning delivery execution