Product Operations Manager, Tooling & Automation

DoubleVerify•New York, NY

1d•$94,000 - $160,000

About The Position

The Product Operations Manager, Tooling & Automation owns the systems and automation infrastructure that supports how DoubleVerify’s Product organization plans and executes. This role focuses on Process & Systems Enablement and is responsible for building, maintaining, and maturing the tooling foundation used across the Product organization. Existing infrastructure includes Jira Product Discovery automations, quarterly planning workflows, n8n integrations, and early AI agent capabilities. The role works closely with Product Operations, IT, Engineering, and DevOps to connect operational needs with the broader technical ecosystem. The successful candidate will provide engineering rigor to these systems and develop into the team’s primary subject matter expert for tooling and automation decisions. The position’s systems encode planning logic, support PDLC standards, and reflect Product Operations’ operational practices.

Requirements

3–5 years of experience in product operations, technical program management, operations engineering, or a related role with a strong emphasis on tooling and automation.
Hands-on proficiency with workflow automation platforms such as Jira Automation, n8n, or Zapier, and experience building production-grade integrations.
Working knowledge of API-driven development, including RESTful APIs, webhooks, and data transformation.
Experience with Jira, Confluence, and the Atlassian ecosystem.
Comfort working with AI and LLM-based tooling, such as prompt engineering and agent orchestration, or demonstrated willingness to develop this capability quickly.
Understanding of data quality principles, monitoring patterns, and automated testing.
Strong attention to detail and follow-through, with the ability to manage multiple workstreams independently once direction is set.
Clear written and verbal communication skills, including the ability to document technical systems for non-technical stakeholders.
Ability to operate in ambiguous, cross-functional environments with a proactive, solutions-oriented mindset.
Ability to take ownership of a technical domain over time, build institutional knowledge, establish governance practices, and communicate system context to non-technical stakeholders.

Nice To Haves

Familiarity with Jira Product Discovery.
Experience in Ad Tech, SaaS, or high-growth technology companies.
Familiarity with product development lifecycle (PDLC) frameworks and OKR methodologies.
Experience with data pipeline or ETL tools, scripting languages such as Python or JavaScript, or low-code/no-code platforms.
Knowledge of DevOps practices, including CI/CD, version control, and infrastructure-as-code concepts.
Experience building or scaling internal tooling for operations teams.

Responsibilities

Build, maintain, and improve automation workflows across Jira Product Discovery, Confluence, and connected systems, ensuring reliability and consistency at scale.
Productionize prototype automations and emerging AI agent capabilities into monitored, self-healing systems with testing, error handling, and governance.
Develop real-time integrations and data pipelines connecting portfolio strategy, planning, and execution for leadership visibility.
Implement automated health checks, dependency monitoring, and status rollups to reduce manual work during quarterly planning cycles.
Create reusable automation templates and self-service patterns for PMs and cross-functional partners.
Build automated data quality enforcement to prevent incomplete or incorrect data from entering planning systems.
Develop automated notifications and communications for planning milestones, OKR session preparation, dependency deadlines, and reporting.
Support development of AI-enabled process enforcement tools, including agents that check project artifacts for completeness and PDLC standards.
Coordinate automation efforts with IT, Engineering, and DevOps stakeholders to avoid redundant work and promote consistency.
Document automation workflows, system architecture, and operational runbooks for knowledge transfer and long-term maintainability.