Revenue Operations Analyst - Colombia

Описание вакансии

About Gladly

For business leaders who want to get AI right, Gladly is the only customer experience AI that delivers the cost savings they need AND the customer devotion that drives lasting business value. With over a decade of singular CX focus and trusted by the world's most customer-centric brands including Crate & Barrel, Breeze Airways, and Ulta Beauty, Gladly was designed for devotion, not deflection: purpose-built to engage customers and turn every conversation into lasting relationship equity. The result is experiences that are radically personal and effortlessly scalable, emotionally intelligent and operationally efficient. 

At the heart of our simply powerful platform, Gladly maintains one continuous conversation across all channels while striking the perfect balance of AI and human connection. With 300M+ conversations powered globally, $510M+ cumulative cost savings delivered for customers, and a 65% increase in CSAT scores, this is a team where your work has real impact at scale. Learn more atwww.gladly.ai.

The Team

Revenue Operations at Gladly sits inside our Finance Operations org, at the intersection of marketing, sales, and data. We are a small, flat team with real ownership and direct access to leadership. Because RevOps, data analytics, FP&A, and deal desk all live under one roof, you are naturally close to revenue and the decisions that drive it. The culture is fast, candid, and high-autonomy. You will partner daily with demand gen, sales, and business operations, and you will have a hand in some of the most exciting work happening at the company, including our shift to a product-led growth motion. If you want to understand how a business actually runs and have real influence over making it run better, this is the team for you.

The Opportunity

We are looking for a Revenue Operations Analyst to help scale our revenue engine during a pivotal period. You will own campaign operations in Marketo, build the reporting infrastructure that drives decisions in Salesforce and Tableau, manage data quality across our GTM stack, and help integrate AI into operational workflows. This is hands-on, high-impact work with real strategic input, not just ticket-taking.

This role is ideal for a generalist who wants exposure to many parts of the business and sees this as a launchpad toward a senior operations career, whether that takes you deeper into marketing ops, sales ops, data analytics, or full-funnel RevOps.

What You Will Do

• Build and optimize marketing campaigns in Marketo: program builds, email deployment, segmentation, lead scoring, and Marketo-to-Salesforce sync
• Build and maintain dashboards and reports in Salesforce and Tableau that give sales and CS clear visibility into pipeline health, rep performance, activity metrics, and full-funnel conversion trends.
• Own data quality and governance: deduplication, field standardization, lead routing, and enrichment processes
• Partner with system administrator to recommend and enable optimizations across RevOps tech stack (Salesforce, Marketo, ZoomInfo, Unify, Chili Piper, Gong, Outreach, Asana)
• Build lifecycle campaigns and tracking for the self-serve motion, helping shift from pure demand gen to product-led growth
• Identify and implement automation and AI-driven improvements to streamline workflows and reduce manual effort
• Partner cross-functionally with sales, marketing, and finance leaders to translate business needs into system enhancements and process improvements

What We Are Looking For

• 3-5 years of experience in revenue operations, marketing operations, or sales operations at a B2B tech company
• Hands-on Salesforce experience: reporting, dashboards, workflows, field management. Admin certification is a plus
• Curious about AI and automation as practical tools for efficiency
• Working knowledge of Marketo or a comparable marketing automation platform
• Experience with Tableau or similar BI tools for dashboard development
• Familiarity with common GTM tools: ZoomInfo, Outreach, Gong, Chili Piper, or equivalents
• Comfortable with data: you can QA a report, spot a bad merge, and explain why a number looks off
• Strong communication skills with both technical and non-technical stakeholders
• Organized, self-directed, and energized by managing multiple work-streams
• C1-C2 Professional English fluency, written and verbal

Salary for this role: $25,000 - $60,000 USD annually (may be paid in COL pesos depending on EOR/COR contract selection)

The cash compensation above includes base salary, and is not reflective of potential commission for employees in eligible roles, or annual bonus targets under Gladly's bonus plan for eligible roles. In addition to cash compensation, all Gladly employees are eligible to participate in Gladly's equity incentive plan to receive stock options per the terms of the agreement. Individual compensation packages are based on a few different factors unique to each candidate, including their career level, skills, experience, specific geographic location qualifications and other job-related reasons.

Why Join Gladly?

Gladly is redefining customer experience AI — designed for devotion, not deflection. We put people at the center of everything we build, from our platform to our culture. When you join us, you'll enjoy:

• Competitive salaries, stock options, and comprehensive benefits
• Generous paid time off, parental leave, and home office stipends
• A fully remote work environment with opportunities for in-person team gatherings
• A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive
• A company where AI is not a buzzword. We build AI products and we expect our team to use AI tools daily

We're a team that believes in transparency, collaboration, and the idea that the best work happens when talented people genuinely enjoy working together. Top talent, good vibes, no politics. If this role excites you but you don't meet every qualification, we still encourage you to apply. The perspectives and experiences you bring matter more than checking every box.