Senior Product Manager

🕒 March 24

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Pantomath

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

🔥 Funding within the last year

💰 $30M Series B - Pantomath on 2025-08

Artificial Intelligence • SaaS • Enterprise

Pantomath is an AI-powered data operations platform that provides a centralized Data Operations Center for monitoring, tracing, and automating the reliability of enterprise data pipelines. The platform combines real-time data observability, automated incident management, root-cause analysis, and agentic AI remediation to detect, resolve, and self-heal data issues across cloud data stacks and integrations (notably with Snowflake). Pantomath targets enterprises seeking to reduce manual data ops labor, improve data trust and compliance, optimize costs, and accelerate data-driven decisioning.

📋 Description

• Own the connectors product strategy and roadmap, making informed, technical decisions about which integrations to build. • Leverage your data engineering background to evaluate feasibility and long-term maintainability of integrations. • Translate customer needs, partner requirements, and technical constraints into clear, detailed PRDs that engineers can execute against without ambiguity. • Partner closely with engineering to design, build, test, and ship connectors that meet strict standards for reliability, scalability, observability, and security. • Replicate real-world customer data environments and pipelines to validate connector behavior, and ensure production readiness. • Define success metrics for connectors (adoption, reliability, latency, error rates) and actively monitor, diagnose, and iterate based on data and feedback. • Work with Go-to-Market teams to support launch readiness, technical enablement, and customer-facing documentation. • Stay current on trends and best practices across ETL/ELT, APIs, orchestration, data observability, and cloud data platforms to inform roadmap decisions. • Advocate for a best-in-class developer and data engineer experience, ensuring integrations are intuitive, discoverable, and easy to operate at scale.

🎯 Requirements

• Hands-on experience in data engineering, data architecture, or a closely related technical role (e.g., building pipelines, managing integrations, working with production data systems). • 3+ years of product management experience working on technically complex products such as data platforms, integrations, APIs, or developer-facing tools. • Strong, working knowledge of: APIs and SaaS integration patterns • Data pipelines and workflows (ETL/ELT) • Cloud data warehouses and modern data stacks • Proven ability to partner deeply with engineering teams and make informed trade-offs. • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. • Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field (or equivalent practical experience).