Senior Product Manager

Pantomath

Senior Product Manager for Connectors at Pantomath leading the integration strategy and execution. Focused on data engineering and maintaining reliable data pipelines.

Posted 7/21/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $124,000 - $182,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for data integrations, with a strong focus on data engineering, API development, and cloud data platforms. Capable of translating complex technical requirements into actionable product strategies while ensuring high standards for reliability and scalability.

Highest-signal resume keywords

Data EngineeringProduct ManagementAPI DevelopmentETL/ELT WorkflowsCloud Data Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureIntegration ManagementData PipelinesTechnical DocumentationSuccess Metrics Definition

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

APIsSaaS Integration PatternsData WarehousesModern Data Stacks

Industry Keywords

Product StrategyData ObservabilityGo-to-MarketDeveloper Experience

Tech Stack

Tools & technologies

CloudETLGo

About the role

Key responsibilities & impact

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

What you’ll need

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).

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Pantomath Website LinkedIn All 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. Senior Product Manager 🔥 1 hour ago 🏢🏡 San Francisco – Hybrid 💵 $124k - $182k / year ⏰ Full Time 🟠 Senior ✅ Product Manager Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 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.
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