Urgent Position Of Senior Product Manager (Only Local)

Urgent position of Senior Product Manager (Only Local)

Location : Atlanta, GA (Onsite)

NO GC & USC

Interview type: L1 – Video and L2 - Face to Face

Key Responsibilities

Product Strategy & Vision

• Define long‑term product strategy for a unified data and AI platform, including ingestion, transformation, API orchestration, visualization experiences, and intelligent decision‑making.
• Build and communicate a multi‑year roadmap aligned to business objectives, AI innovation, customer needs, and platform scalability.
• Identify key leverage points where AI/ML can add value across the data lifecycle (ETL, data quality, anomaly detection, summarization, predictions, natural language interfaces).

Data Platform & API Product Leadership

• Drive end‑to‑end product development for high‑scale APIs, ensuring reliability, security, versioning strategy, and developer experience excellence.
• Partner with engineering to design robust data pipelines, schema standards, metadata models, and governance capabilities.
• Define KPIs for API performance, latency, availability, and usage growth; champion instrumentation and telemetry.

AI & Intelligence Layer Development

• Collaborate with data science and ML engineering teams to build AI‑powered capabilities, including:
  • Automated insights & anomaly detection
  • Natural language querying
  • Predictive analytics
  • AI‑assisted workflows and recommendations
• Translate advanced technical possibilities into pragmatic user value.

Visualization & Experience

• Define and optimize visualization frameworks to help users understand large, complex datasets through intuitive dashboards, interactive UI patterns, and custom visual components.
• Work closely with design to deliver elegant, accessible, insight‑driven experiences.

Execution Leadership

• Own product requirements, technical specifications, and prioritization frameworks.
• Lead complex cross‑functional programs with multiple teams, managing dependencies and risks.
• Drive clarity in ambiguous problem spaces and make high‑judgment decisions that balance strategic goals and technical constraints.

Stakeholder & Customer Engagement

• Conduct deep customer research to inform product decisions for technical, enterprise, and developer audiences.
• Serve as the primary voice of the customer for data engineers, analysts, developers, and business decision‑makers.
• Evangelize product direction internally and externally.

Required Qualifications

• 10+ years of product management experience with significant time spent in technical and/or platform roles.
• Deep understanding of data engineering, distributed data systems, ETL design, and data governance.
• Proven track record owning large‑scale API‑focused product portfolios.
• Experience shipping AI‑powered or ML‑backed features with measurable customer impact.
• Strong background in enterprise SaaS, analytics platforms, or developer tooling.
• Demonstrated ability to lead complex products from concept through GA.
• Exceptional communication skills with both technical and executive audiences.

Preferred Qualifications

• Experience with large language models, vector databases, or AI/ML infra.
• Familiarity with data visualization frameworks (e.g., Tableau, Power BI).
• Ability to think at the systems level—ecosystems, extensibility, interoperability.
• Strong business acumen and comfort with financial modeling, pricing, or GTM strategy.

Please share to xxxxxxxxxxxxxxx

Location : Atlanta, GA (Onsite)

NO GC & USC

Interview type: L1 – Video and L2 - Face to Face

Key Responsibilities

Product Strategy & Vision

• Define long‑term product strategy for a unified data and AI platform, including ingestion, transformation, API orchestration, visualization experiences, and intelligent decision‑making.
• Build and communicate a multi‑year roadmap aligned to business objectives, AI innovation, customer needs, and platform scalability.
• Identify key leverage points where AI/ML can add value across the data lifecycle (ETL, data quality, anomaly detection, summarization, predictions, natural language interfaces).

Data Platform & API Product Leadership

• Drive end‑to‑end product development for high‑scale APIs, ensuring reliability, security, versioning strategy, and developer experience excellence.
• Partner with engineering to design robust data pipelines, schema standards, metadata models, and governance capabilities.
• Define KPIs for API performance, latency, availability, and usage growth; champion instrumentation and telemetry.

AI & Intelligence Layer Development

• Collaborate with data science and ML engineering teams to build AI‑powered capabilities, including:
  • Automated insights & anomaly detection
  • Natural language querying
  • Predictive analytics
  • AI‑assisted workflows and recommendations
• Translate advanced technical possibilities into pragmatic user value.

Visualization & Experience

• Define and optimize visualization frameworks to help users understand large, complex datasets through intuitive dashboards, interactive UI patterns, and custom visual components.
• Work closely with design to deliver elegant, accessible, insight‑driven experiences.

Execution Leadership

• Own product requirements, technical specifications, and prioritization frameworks.
• Lead complex cross‑functional programs with multiple teams, managing dependencies and risks.
• Drive clarity in ambiguous problem spaces and make high‑judgment decisions that balance strategic goals and technical constraints.

Stakeholder & Customer Engagement

• Conduct deep customer research to inform product decisions for technical, enterprise, and developer audiences.
• Serve as the primary voice of the customer for data engineers, analysts, developers, and business decision‑makers.
• Evangelize product direction internally and externally.

Required Qualifications

• 10+ years of product management experience with significant time spent in technical and/or platform roles.
• Deep understanding of data engineering, distributed data systems, ETL design, and data governance.
• Proven track record owning large‑scale API‑focused product portfolios.
• Experience shipping AI‑powered or ML‑backed features with measurable customer impact.
• Strong background in enterprise SaaS, analytics platforms, or developer tooling.
• Demonstrated ability to lead complex products from concept through GA.
• Exceptional communication skills with both technical and executive audiences.

Preferred Qualifications

• Experience with large language models, vector databases, or AI/ML infra.
• Familiarity with data visualization frameworks (e.g., Tableau, Power BI).
• Ability to think at the systems level—ecosystems, extensibility, interoperability.
• Strong business acumen and comfort with financial modeling, pricing, or GTM strategy.

Please share to xxxxxxxxxxxxxxx