Customer Analytics Manager, Activations & Adoption

Customer Analytics Manager, Activations & Adoption

Richmond, VA

About Simpli Safe

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 office on two core days, typically Tuesday, Wednesday or Thursday, to work together in person, and teams can choose 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.

Why Are We Hiring?

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.

Job Description

As a leader on the Customer Analytics team, reporting to the Head of Customer Analytics, this role will help shape the strategy of Activations & Adoption at Simpli Safe and tell that story to influence C-suite and board-level decisions. You will own analytics across device setup, hardware adoption, subscription activation, and ongoing customer engagement — including signals like app usage, arming behaviors, camera utilization, and RMR growth.

This role leads a team responsible for building and maintaining the reporting, experimentation frameworks, and forecasts for some of the department's most critical metrics, and requires close cross-functional collaboration with Customer Lifetime Value, Acquisition, and Operational teams.

Key Responsibilities

• Own analytics across device setup, hardware adoption, subscription activation, and engagement — translating complex, multi-domain data into clear narratives that drive business decisions at the C-suite and board level.
• Develop and maintain an Activations & Adoption Analytics roadmap through close partnership with Customer Lifetime Value leadership to maximize the value being driven by the team.
• Define success criteria for key initiatives and lead measurement design end-to-end — including A/B and multivariate experiment design, statistical methodology selection, and clear interpretation of results for business stakeholders.
• Champion the adoption of AI-assisted analytics workflows — including LLM-based tools, automated insight generation, and AI-augmented analysis — to increase the team's analytical throughput and the depth of insights delivered to the business.
• Create reports and data-driven presentations with impact; identify trends in data and translate findings into compelling formats including text, charts, graphs, and dashboards.
• Lead strategic analytics efforts from definition through implementation, managing stakeholders and collaborating effectively across diverse cross-functional teams.
• Serve as an expert in business performance management, partnering with business owners to define, implement, and continuously improve core KPIs.
• Develop analysts through coaching, structured feedback, and meaningful stretch assignments — building a team that grows in both technical capability and business influence over time.

Qualifications

• 5+ years of experience in Analytics
• BA/BS degree or comparable experience; MBA a plus
• Demonstrated experience managing and developing analytical teams
• Proven ability to design, execute, and interpret experiments (A/B, multivariate) with statistical rigor — and to coach others to do the same
• Excellent communication skills; able to translate complex quantitative findings into compelling, actionable narratives for non-technical audiences including senior leadership
• Demonstrated ability to partner with business leads and non-technical stakeholders using data to influence key decisions
• Working experience with AI…