• Partnering with product teams to define what "good experience" looks like and how to measure it • Building and maintaining dashboards in tools like Pendo, Tableau, or similar, and using the data to help answer questions and drive our business forward • Instrumenting new product surfaces by working with engineers to define event taxonomies, validate tracking, and ensure data quality • Analyzing funnels, retention curves, and feature adoption to identify friction points in the customer journey • Contributing to our experience metrics framework and helping establish analytics standards across the product organization

Role Description Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey. Calendly is the scheduling automation platform used by millions of users for eliminating the back-and-forth emails to find the perfect time — and so much more. Our analytics team is made up of data analysts dedicated to various areas of the business who develop reporting, insights, and serve as a consultative partner to our entire organization. You will have your hands on our self-serve product-led business, supporting the team in making decisions, optimizing campaigns and enhancing customer acquisition – ultimately driving business growth. Our Data Analysts play a pivotal role in empowering the Calendly team with strategic insights into user acquisition, conversion, retention, and overall business performance, specifically within the growth domain. This role sits on the Product Analytics team, which is a part of the centralized Analytics team alongside Reporting Analytics and User Insights. Together, our team is positioned to help Calendly become a data-driven, customer-obsessed organization. The Product Analytics team enables Calendly to understand and accelerate user growth across the entire funnel through actionable insights and data-informed strategies. We do this by driving experimentation, optimizing go-to-market levers, analyzing product feature behaviors, and aligning these insights with Calendly’s broader growth objectives. If you’re looking to solve meaningful growth challenges and directly influence Calendly’s trajectory, this role is for you. A day in the life of a Senior Data Analyst at Calendly: - Utilize your deep product expertise and advanced analytics skills to drive decision-making across web and mobile product experiences. - Conduct in-depth analyses, own experimentation from end to end, develop event tracking plans, and deliver impactful reports to measure the effectiveness of features. - Translate complex business questions into structured analyses, support experimentation through data collection and test design, and provide strategic recommendations. - Partner closely with the Mobile Product and Engineering teams to analyze app user behavior, measure mobile feature adoption, and identify opportunities to improve the end-to-end mobile experience across iOS and Android. - Design and analyze A/B tests to validate hypotheses and optimize acquisition, activation, and retention strategies. - Own the definition of success for product initiatives, ensuring features deliver meaningful and measurable user and business value. - Ensure analytics outputs are accurate, timely, and aligned with Calendly’s business goals. - Represent growth levers and business objectives in cross-functional planning and strategy discussions. - Apply statistical methods to uncover insights related to product usage (e.g., conversion funnel analysis, cohort retention, lifecycle segmentation, LTV modeling, and churn prediction). - Build and maintain dashboards that surface key growth trends and enable stakeholders to self-serve insights effectively. - Design, implement, and maintain comprehensive event tracking plans to ensure accurate measurement of user behavior, product adoption, and feature performance. Qualifications - Expertise of A/B testing statistics and experimentation end-to-end design. - Proficient in Python programming for developing advanced analytics solutions and automation scripts. - Familiarity with mobile product metrics, event instrumentation, and mobile experimentation frameworks is a strong plus. - Advanced proficiency in SQL, relational databases, and data analysis/visualization tools like Hex. - Strong strategic thinking and problem-solving skills, translating data insights into actionable growth strategies. - Excellent communication and stakeholder management skills, conveying technical concepts to non-technical audiences. - Ability to translate detailed data into clear, actionable recommendations, bridging technical and business perspectives. - Inquisitive mindset for uncovering insights and opportunities through data, driving continuous improvement. - Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time. Requirements - Tier 1 Salary Hiring Range: $181,503 — $213,534 USD - Tier 2 Salary Hiring Range: $166,378 — $195,739 USD - Tier 3 Salary Hiring Range: $151,253 — $177,945 USD - Base salary is just one component of Calendly’s total rewards package. - All full-time (30 hours/week) employees are also eligible for our Top Performer Bonus program (or Sales incentive), equity awards, and competitive benefits. - Calendly uses the zip code of an employee’s remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. - Current geographic zones are as follows: - Tier 1: San Francisco, CA, San Jose, CA, New York City, NY - Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. - Tier 3: All other locations not in Tier 1 or Tier 2. Benefits - If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. - This role may require occasional travel for company events, team collaboration, or offsites.

Role Description We’re looking for a data-driven and user-obsessed thinker to join our product team. As Product Analyst , your mission is to empower Product Managers with the insights they need to make sharper, faster decisions. You’ll dive into funnels, user conversations, and data to uncover what’s really happening, and translate those findings into clear narratives and impact sizing. You’ll be a strategic partner to PMs — validating hunches, testing hypotheses, and ensuring our roadmap is grounded in both numbers and user reality. You’ll be a strategic partner to PMs, enabling sharper and faster product decisions! This role is open to all candidates in Latin America. Responsibilities - Be the closest partners of product managers — make recommendations while supporting discovery, prioritization, experimentation, and tracking of initiatives. - Interpret and Analyze Data: - Interpret data and trends, analyze results, and provide ongoing reports that drive business decisions. - Be in charge of funnel/behavioral analysis — identify friction points, drop-offs, and growth opportunities. - Dive into user conversations (WhatsApp, support, interviews) to surface behavioral insights and pain points. - Do bespoke analysis to solve important questions. - Size initiatives using both quantitative modeling and qualitative signals, estimating impact and trade-offs. - Drive and support on A/B tests and experimentation. - Build and maintain core dashboards to track product performance and user engagement. - Make business recommendations: Create clear, concise storytelling for leadership and cross-functional stakeholders (data → insights → recommendations). Qualifications - Bachelor's degree in Business, Mathematics, Economics, Information Management, or a related discipline. - 3-6 years of experience in product analytics, strategy, insights, growth, or consulting roles. - A proven background that includes not only quantitative analysis but also qualitative research, such as surveys and user interviews, to truly understand the user journey. - Strong SQL + data analysis skills; comfort working with funnel metrics and behavioral datasets. - Ability to synthesize qualitative feedback into structured insights. - Comfort with sizing business impact and making prioritization trade-offs. - Clear communicator with strong business intuition — can go from numbers → strategy. - A genuine interest in our product and the curiosity to deeply analyze the user experience by talking with and observing users. - Experience in fast-growing tech companies and/or fintech is highly valued. - Advanced English level and Spanish native speaker. Requirements - You'll be the connective tissue between our users, data, and product decisions. Your work will directly shape how we prioritize, where we focus, and how fast we grow! Benefits - Competitive salary - Initial stock options grant - Annual performance bonus - Health, dental, and vision plans - Remote work environment, although we have offices in Miami and Mexico City and would love to work in a hybrid model if you are up to it. - Continuous learning opportunities - Unlimited PTO - Paid parental leave - Empowering opportunities for growth in a dynamic entrepreneurial environment Equal Opportunity Employer At Félix, we are committed to providing equal employment opportunities to all qualified employees and applicants without regard to race, religion, nationality, sex, sexual orientation, gender identity, age, or disability. This policy applies to all terms and conditions of employment, including recruitment, hiring, placement, promotion, training, compensation, benefits, and termination.

Role Description We are hiring a Product Analyst to help us evaluate, monitor, and improve AI agents and LLM-powered workflows operating at scale. This role is focused on analyzing real AI system behavior in production environments: - Understanding product and operational impact - Identifying failure patterns on generational tasks - Measuring quality and reliability of outputs - Helping teams make accurate decisions under ambiguity Qualifications - 3+ years of experience in analytical roles related to AI systems, ML products, automation platforms, or complex production systems - Strong Python skills for deep analytical investigations and working with large-scale noisy text data - Advanced SQL skills - Understanding of LLM limitations, hallucinations, evaluation challenges, prompt sensitivity, model trade-offs, and AI failure modes - Experience building monitoring systems, analytical frameworks, or operational dashboards for production systems - Ability to work with incomplete, ambiguous, and rapidly changing data environments - Strong ownership mindset and ability to independently drive investigations and analytical conclusions - Ability to connect AI system quality with business and operational impact - Fluent Russian; English level B2 or higher - Ability to work CET-overlapping hours Requirements - Experience with conversational AI or AI agents - Experience evaluating LLM outputs or annotation quality - Experience with AI quality metrics and evaluation methodologies - Experience working with Langchain infrastructure - Experience with ML data pipelines or synthetic data generation - Background in anomaly detection Responsibilities - Analyze production behavior of AI agents, automation systems, and LLM-powered workflows - Investigate hallucinations, inconsistencies, failure modes, and quality degradation across automated user journeys - Work directly with logs, conversations, raw system outputs, and operational datasets to identify hidden patterns and actionable insights - Design evaluation approaches and analytical frameworks for measuring AI system quality and reliability - Build monitoring systems and dashboards for AI performance visibility - Identify operational and product risks introduced by automation - Measure the impact of AI systems on business metrics, operational efficiency, and user experience - Detect data quality issues, shifts, and anomalies affecting AI system performance - Partner closely with Product, Engineering, QA, and Operations teams on AI-related initiatives - Support rapid decision-making in fast-changing and ambiguous environments Benefits - Health insurance after probation period - Sports & wellness compensation - Fully remote, long-term B2B collaboration - 19 working days of vacation per year - 3 additional wellness days per year - Paid sick leave for the first 5 working days - Gifts to employees for important events - Personalized English lessons via Preply