VP, Analytics

Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack's AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR's impact on business outcomes.

Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product. We value resilience, transparency, ownership, and customer devotion.

We are looking for a leader to build and manage the team that powers how Muck Rack understands its business. This is our first dedicated analytics leadership hire at this level, and it represents an opportunity to shape the function from the ground up, owning the data platform, the metric definitions, and the analytical infrastructure that drives decision-making across every department.

This role reports directly to the COO/CFO.

What you'll do

Own the data and metric definitions

• Define and maintain the single source of truth for every business metric at Muck Rack: from ARR and net retention to pipeline conversion and feature adoption.
• Own the analytics engineering function: a small, high-leverage team that maintains our dbt project and builds the semantic layer that powers both human and AI-driven analytics.
• Set the AI analytics roadmap: architect the path from today's dashboard-driven reporting toward a natural language, self-service model.

Lead embedded business analysts as their "product manager"

• Manage and build a team of embedded business analysts each reporting to you while sitting functionally within their business team.
• Deeply understand the workflows of each function your team serves to systematize what great looks like.
• Treat each department as a "customer" of the analytics team: anticipate their needs and proactively build data products.
• Set quality standards and methodology across all analysts to ensure consistency.
• Build and run the BA community of practice: weekly syncs, peer review, shared learnings, and professional development.

Manage the intake and prioritization of analytical work

• Build and operate the prioritization framework that balances the long tail of ad hoc requests against investment in infrastructure, automation, and proactive insight-building.
• Be the gatekeeper: protect the team's capacity for high-leverage work while ensuring urgent business questions still get fast answers.
• Make the trade-offs visible so stakeholders understand what the team is working on and why.

Drive the BI and AI analytics strategy

• Evaluate and evolve our BI tooling strategy, with a focus on enabling faster, more flexible report creation.
• Build the semantic layer as the foundation for consistent metric definitions across every consumption layer.
• Deliver a natural language querying capability that lets executives and operators get quick answers to metric questions.

How success will be measured

• Every department leader reports better, more reliable data support.
• The company operates from a single, trusted set of metric definitions.
• Key company input metric readings are automated and delivered on time.
• The semantic layer covers the top 30+ business metrics and is actively used.
• Ad hoc request turnaround time decreases as self-serve capabilities increase.
• The embedded BA model produces measurable improvements in the functions they serve.
• The team ships AI analytics capabilities that reduce manual reporting burden.

Who you are

• 8+ years of progressive analytics leadership experience, including managing both analytics engineers and business analysts at a B2B SaaS company.
• Track record of building and scaling embedded or hub-and-spoke analytics models.
• Deep understanding of the modern data stack (dbt, Snowflake, etc.) and semantic layers.
• Experience acting as a "product manager" for an analytics function.
• Demonstrated ability to partner with and influence C-level and VP-level stakeholders.
• Comfort with AI/LLM-enabled analytics and a clear point of view on how AI changes the analytics function.
• Alignment with Muck Rack's core values: Customer Devotion, Resilience, Transparency, Ownership.

Why Muck Rack?

• Remote Work, Forever: Fully distributed team with a permanent remote setup, home office stipend, and more.
• Transparent & Fair Compensation: Competitive geo-neutral pay in the U.S., annual reviews, and equity opportunities.
• Health & Wellness: Comprehensive medical, dental, vision, disability, and life insurance, plus quarterly wellness stipends.
• Time Off & Family Benefits: 4+ weeks of PTO, paid sick/mental health days, and up to 16 weeks of fully paid parental leave.
• Learning and Development: Transparent pathways for internal mobility, leadership training, and access to Coursera/O'Reilly.
• Inclusive, Customer-First Culture: Commitment to equity, valuing diverse perspectives, and innovation.

Note: Benefits and compensation reflect offerings for U.S.-based employees.

Muck Rack considers applicants for all positions on the basis of merit, qualifications, and business needs, and without regard to race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, or any other status protected by applicable law.