AI Powered GTM Analyst

About ROLLER

ROLLER is a global software-as-a-service company designed to help businesses in the leisure and attractions industry operate more efficiently and deliver great guest experiences. ROLLER helps its customers offer amazing guest experiences through a full suite of venue management features. We are a fast-growing global company with customers in over 30 countries and a wide array of industries like theme parks, museums, zoos, trampoline parks, water parks, aquariums, and wake parks - to name a few!

At the heart of ROLLER is our team - which consists of 200+ highly energetic, driven, intelligent, and humble professionals, all contributing to help build a great and enduring business. We truly believe that the sky's the limit for us, and we are well on our way toward becoming a global success story. But most of all, we love what we do, have a great time doing it, and are looking for like-minded people to join us on this amazing journey!

About the Role

The AI-Powered GTM Analyst is crucial for leveraging artificial intelligence (AI) to analyze data, generate insights, and optimize go-to-market strategies. This position requires a blend of analytical expertise, technical skills, and a strong understanding of sales processes and customer lifecycle management. The analyst will develop and implement AI-driven solutions to improve efficiency, measure revenue growth, and enhance overall GTM effectiveness using the AI tools.

What You'll Do

• Data Analysis and Reporting:
• Collect, clean, and analyze data from various sources (CRM, sales data, marketing platforms, etc.) to identify trends, patterns, gaps and opportunities.
• Develop and maintain dashboards and reports to track key GTM metrics and provide actionable insights to stakeholders.
• Utilize statistical analysis and data visualization techniques to present findings clearly and concisely.
• AI-Driven Solutions Development:
• Design, develop, and implement AI/ML models to automate processes, predict outcomes, and improve decision-making.
• Apply AI techniques such as predictive modeling, natural language processing, and machine learning to optimize sales forecasting, lead scoring, customer segmentation, and other GTM activities.
• Collaborate with engineering and data science teams to deploy and scale AI solutions.
• GTM Strategy Optimization:
• Analyze the effectiveness of current GTM strategies and identify areas for improvement.
• Use AI-driven insights to recommend and implement changes to sales processes, marketing campaigns, and customer engagement strategies.
• Support sales teams by providing AI-powered tools and information to enhance their performance.
• Collaboration and Communication:
• Work closely with sales, marketing, customer success, and other departments to understand their needs and provide data-driven support.
• Communicate complex technical concepts to non-technical stakeholders.
• Present findings and recommendations to management and other key decision-makers.

About You

• Education and Experience:
• Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science, economics) or a related field. Master's degree preferred.
• Proven experience in data analysis, reporting, and AI/ML development.
• Experience in a sales or marketing environment, with a focus on GTM strategies, is highly desirable.
• Technical Skills:
• Strong proficiency in data analysis tools and programming languages (e.g., SQL, Python).
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with CRM systems (e.g., Salesforce) and data visualization tools (e.g., Tableau, Power BI).
• Analytical and Soft Skills:
• Excellent analytical and problem-solving skills.
• Strong communication, presentation, and interpersonal skills.
• Ability to work independently and as part of a team.
• Detail-oriented with a focus on accuracy and quality.

Perks!

• You get to work on a category-leading product that customers love, in a fun, high-growth industry (check our Capterra and G2 reviews).
• Generous Vacation Days: Take the time to recharge, explore new adventures, or simply relax.
• Sick Days: Your health comes first! Enjoy paid time off to recover and focus on wellness.
• Paid U.S. Holidays: Celebrate and unwind on national holidays with fully paid time off.
• ROLLER Recharge Days: Dedicated days where we all step back, refresh, and disconnect together
• Holiday Office Closure (role dependent): Allocated days off during the holiday season to enjoy with family and friends.
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns... you name it. We're willing to make it happen!
• Team member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• 401(k) plan as well as health insurance.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do.
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

Initial call with our Talent Acquisition Manager
You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.

Interview with the Hiring Manager
You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.

Loop Interviews
This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!

Offer
If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

Successful applicants will be required to complete a background check (including criminal history) prior to commencement of employment