VP, Analytics at Muck Rack

United States

$250k - $300k

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. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently. Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do. We’re looking for a VP of Analytics to build and lead 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. You’ll lead a team of analytics engineers and business analysts, with the analysts embedded directly in departments. Your job is to make sure the entire company is working from the same numbers, that our operating cadences are powered by trustworthy and automated data, and that we are building toward an AI-native analytics experience where stakeholders can access insights on demand. What makes this role distinctive is that it’s not just about building dashboards and answering data questions. You’ll act as a product manager for the analytics function, deeply understanding the workflows, decisions, and pain points of each business team your analysts serve, and proactively building the data products and tooling that help those teams perform at a higher level. You’ll balance the long tail of ad hoc requests against building the next layer of infrastructure, and you’ll own the prioritization framework that keeps the team focused on the highest-leverage work. 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 and decides how data is modeled, curated and exposed Set the AI analytics roadmap: architect the path from today’s dashboard-driven reporting toward a natural language, self-service model where stakeholders can query metrics directly 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. Map out what a CSM does in a given day, week, and quarter. Understand what the best-performing reps do differently. Identify where data and tooling can systematize what great looks like and build it Treat each department as a “customer” of the analytics team: understand their use cases, anticipate their needs, and proactively build the data products and dashboards that help them perform, rather than waiting for requests Set quality standards and methodology across all analysts to ensure consistency in metric definitions, analytical rigor, and output quality — regardless of which function they’re embedded in 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 (semantic layer, AI tooling, automated reporting) while ensuring urgent business questions still get fast answers Make the trade-offs visible stakeholders should understand what the team is working on, why, and what’s in the queue Drive the BI and AI analytics strategy Evaluate and evolve our BI tooling strategy, with a focus on enabling faster, more flexible report creation without tools and dashboards proliferating unchecked Build the semantic layer as the foundation for consistent metric definitions across every consumption layer including dashboards, ad hoc analysis, and AI agents Deliver a natural language querying capability that lets executives and operators get quick answers to metric questions without submitting a request How success will be measured in this role: Every department leader says they have better, more reliable data support than they did 6 months ago The company operates from a single, trusted set of metric definitions — no more “my number says X but your number says Y” Key company input metric readings are automated and delivered on time every week, with minimal manual effort The semantic layer covers the top 30+ business metrics and is actively used by analysts and (over time) AI agents Ad hoc request turnaround time decreases as self-serve capabilities and proactive analytics increase The embedded BA model produces measurable improvements in the functions they serve — better pipeline forecasting, earlier churn identification, more efficient marketing spend The team ships AI analytics capabilities (natural language querying, automated variance commentary) that reduce manual reporting burden If the details below describe you, you could be a great fit for this role: 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 where analysts sit within business functions but report centrally Deep understanding of the modern data stack. You’ve worked with dbt, Snowflake (or equivalent), and at least one major BI tool. You have a point of view on semantic layers and how they change the analytics operating model Experience acting as a “product manager” for an analytics function, including mapping stakeholder workflows, proactively building data products, and making deliberate prioritization decisions about where the team spends its time You’ve managed the tension between ad hoc requests and long-term infrastructure investment, and you have a framework for how to balance them Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and Customer Success, with strong executive presence and business acumen Comfort with AI/LLM-enabled analytics. You don’t need to be an ML engineer, but you should have a clear and informed point of view on how AI changes the analytics function and the ambition to build toward it Strong opinions about BI tooling, data quality, and what “self-serve analytics” actually looks like in practice (not just a buzzword) You can translate a business question into a data model, and a data model into a business narrative. You’re as comfortable in a board meeting as you are reviewing a dbt pull request Alignment with Muck Rack’s core values: Customer Devotion, Resilience, Transparency, Ownership Proactively incorporate AI tools into day to day work to improve productively and accelerate delivery Nice to haves: Background in or exposure to media, PR, communications, or content-oriented businesses Experience evaluating or leading a BI tool migration (e.g., from Looker to Hex, or from dashboard-heavy to semantic-layer-first architecture) Hands-on experience with dbt Semantic Layer, MetricFlow, or similar metric definition frameworks Experience building AI-powered analytics tools (text-to-SQL agents, automated reporting, anomaly detection) Interview Overview Here’s what you can expect from our process. We’ll keep you informed at every step and let you know if anything changes along the way. Intro call with a member of our Talent Team A video interview with the CFO/COO A case exercise: given a sample business scenario and dataset, walk us through how you would structure the analytics support, prioritize requests, and build toward proactive insight delivery Panel interviews with members of the executive team and key cross-functional stakeholders Travel & Team Engagement Expectations This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected. Salary In the US, the on target earnings for this role is $250,000 – $300,000, depending on skills and experience. Total compensation for this role consists of base salary, bonus, and equity. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate. Why Muck Rack? Remote Work, Forever Fully distributed team with a permanent remote setup Home office stipend, phone and internet reimbursement, coworking membership Virtual and in-person team bonding (lunches, events, competitions) Transparent & Fair Compensation Competitive geo-neutral pay in the U.S. Annual reviews to ensure equity and market alignment Standardized bonus or commission structure 401(k) with employer contributions Equity opportunities Health & Wellness Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents 100% premium coverage for individuals on high-deductible plans 24/7 Virtual Care and Employee Assistance Program Employer-funded HSA contributions and other pre-tax benefits Quarterly wellness stipend and free Headspace subscription Time Off & Family Benefits 4+ weeks of PTO, plus paid sick and mental health days 13 paid holidays with the option to swap for personal days Up to 16 weeks of fully paid parental leave Learning and Development Transparent pathways for internal mobility and promotion Bi-annual performance reviews, team workshops, and leadership training Unlimited access to Coursera and O’Reilly 2 additional PTO days annually for learning and development Inclusive, Customer-First Culture Commitment to equity and valuing diverse perspectives Agile, founder-led company focused on collaboration and innovation Trusted by 3,000+ companies worldwide Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations. While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence. #LI-Remote Please note: For detailed information regarding our GDPR and/or CCPA compliance policies, including how we handle personal data and privacy rights, kindly refer to the email correspondence accompanying this application. Muck Rack does not accept unsolicited resumes from search firms or any other third parties. Any unsolicited resume sent to Muck Rack will be considered Muck Rack property, and Muck Rack will not pay a fee should it hire the subject of any unsolicited resume. 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, alienage or citizenship status, ancestry, marital status, genetic predisposition or carrier status, veteran status, familial status, status as a victim of domestic violence, or any other status or characteristic protected by applicable federal, state, or local law. Note to applicants/job seekers: We have recently been made aware of scams impersonating Muck Rack’s HR team. Please be cautious of these attempts to elicit banking or other financial or sensitive information. Muck Rack will never request financial information during the interview process, and follow ups for interviews or next steps will always come from an ‘@muckrack.com’ email address. If you are contacted by anyone from a different domain who claims to be from Muck Rack, please forward the communication to legal@muckrack.com.