Enterprise Program Manager (Observability)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Enterprise Program Manager (Observability): Designing and managing complex implementation and deployment initiatives for strategic enterprise customers with an accent on orchestration, delivery planning, and stakeholder alignment. Focus on driving platform rollouts, mitigating risks, and ensuring mutual accountability between internal technical teams and customers.
Location: Must be based in Menlo Park, CA, USA
Compensation: $148K - $194.2K
Company
is a high-growth AI Data Cloud company powering the era of the agentic enterprise by providing a unified platform for telemetry and business data.
What you will do
- Design and manage structured customer implementation and deployment plans, including milestones, dependencies, and timelines.
- Act as the primary program-level coordination point for assigned strategic enterprise customers.
- Align internal technical teams and customer stakeholders around shared objectives and responsibilities.
- Facilitate key customer-facing cadences, such as kickoffs, status reviews, and executive updates.
- Identify risks early and drive mitigation plans with defined ownership and deadlines.
- Track enhancement requests, open issues, and delivery commitments to ensure sustained progress.
Requirements
- 6+ years of experience managing enterprise-scale technical programs in SaaS, infrastructure, or data platforms.
- Proven success in customer-facing roles with executive and technical stakeholders.
- Experience building implementation plans for platform rollouts or infrastructure tooling.
- Strong discipline in planning, risk management, and dependency tracking.
- Ability to communicate clearly and confidently with both hands-on engineers and senior leadership.
- Must be based in Menlo Park, CA
Nice to have
- Experience managing programs involving observability platforms like Datadog, Dynatrace, New Relic, Splunk, Elastic, or Grafana.
- Familiarity with OpenTelemetry adoption or telemetry modernization initiatives.
- Experience supporting SRE, DevOps, or platform engineering organizations.
- Exposure to agile, hybrid, or phased delivery models.
Culture & Benefits
- AI-native environment that treats AI as a core collaborator for solving problems.
- Culture of low-ego individuals who thrive in dynamic, fast-moving environments.
- Experimental mindset focused on testing emerging capabilities to deliver results.
- Opportunity to be part of a high-growth SaaS observability platform within the ecosystem.
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