Sr. Manager, Pricing & Promotions

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

We're looking for a senior, analytically-driven leader to own our Pricing & Promotions function. This is a player-coach role: you'll be hands-on with the work, manage and develop one direct report, and operate with significant autonomy and direct visibility to senior leadership.

You'll own our pricing/promotions experimentation program end-to-end, lead promotional strategy and performance analysis, and build out our discount budgeting capability. You'll also create and optimize a cross-functional pricing strategy, bringing a more coherent and intentional approach to how we price and discount across ecommerce, retail, and emerging channels.

• →Own the end-to-end pricing/promotions testing roadmap — prioritize the backlog, design tests, set stakeholder expectations, analyze test results and drive rollout decisions
• →Set the promotional strategy, calendar and prioritization; partner with your direct report on execution
• →Develop new promotional structures and ideas grounded in performance data and competitive intelligence
• →Synthesize competitor analysis to inform our positioning and calendar
• →Own stakeholder communication on promotions and test expectations across the business 
• →Partner with finance and analytics teams to understand how promotional strategy impacts business performance, and make data-driven adjustments to achieve goals 
• →Partner with acquisition team to identify opportunities to personalize promotions across channels in order to improve media performance 
• →Be a leader in the adoption of AI-driven approaches for personalized promotions, leveraging models to optimize conversion rate and promotional spend efficiency
• →Build and own discount budgeting capability — track, model, and communicate promotional spend and ROI
• →Use financial modeling to recommend promotional changes and evaluate their conversion and margin impact
• →Manage and develop one direct report, coaching them on analytical skills, business acumen, and stakeholder communication

Required

• 6+ years of experience in growth, ecommerce, promotions, pricing, or a related analytical function — with a track record of owning experimentation and using data to drive business decisions; backgrounds in growth product management, lifecycle marketing, or pricing strategy are all strong fits.
• Strong analytical background — you’re proficient with SQL and can independently design, analyze, and draw conclusions from A/B tests without relying on a data team 
• Experience with promotional or marketing performance analysis, including financial modeling and conversion analysis
• Demonstrated ability to manage and develop talent
• Clear, structured communicator who can translate analytical findings into business recommendations
• Comfortable operating with autonomy and building structure in areas that are still maturing 

• Experience with discount budgeting, promotional P&L, or financial planning
• Familiarity with product pricing strategy or distribution channel management
• Background in direct-to-consumer or subscription businesses
• Experience working alongside or embedded with Data Science teams on experiment design
• Strong understanding of ML models and AI decisioning

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.