Yalo
Hi! This is Yalo! We are on a mission to bring conversational commerce to the world...
Remember how it used to be to interact with businesses that knew and understood you, that could recommend exactly what you needed, and that with a simple message could get you what you wanted??? Yep... neither do we. That is why at Yalo we are marrying the scale of digital commerce with the personalization and simplicity of conversations to help companies delight their users.
We know that traditional SAAS companies focus on first world problems... we don't! Having started in Latin America, our roots are in Emerging Markets and therefore we care about bringing amazing experiences to a population that traditionally has been underserved, such as the small shop owner in Brazil that is ordering online for the first time.
If you're looking for a place to make things happen, learn fast, and impact emerging markets in a way that hasn't been done before, look no further. 💫
Come Join us in our mission of improving billions of lives through the power of conversational commerce!
Your mission 🚀
You will be responsible for guiding the strategic direction and execution of our data, analytics and machine learning initiatives. You will lead a talented team of data engineers, data scientists, and machine learning experts, overseeing the development of data-intensive applications, big data infrastructures, and advanced machine learning models. This role requires a visionary leader with deep technical expertise, strong leadership capabilities, and a proven ability to translate data into actionable business outcomes.
What are the responsibilities for this role?
- Leadership and Team Management: Lead, mentor, and develop a high-performance team of data engineers, data scientists, and machine learning professionals. Foster a collaborative and innovative environment that encourages continuous learning and growth.
- Strategic Data and Analytics Leadership: Develop and execute a comprehensive data strategy that aligns with organizational goals. Oversee the design, implementation, and optimization of big data architectures, data lakes, and real-time data processing pipelines.
- Machine Learning and AI Development: Drive the development, deployment, and optimization of machine learning models and AI-driven solutions. Ensure that machine learning initiatives are integrated with business processes to enhance decision-making and operational efficiency.
- Cross-functional Collaboration: Work closely with business units and senior leadership to identify data needs, prioritize projects, and deliver insights that support strategic objectives. Champion data-driven decision-making across the organization.
- Data Governance and Compliance: Implement robust data governance frameworks to ensure data quality, security, and compliance with relevant regulations (e.g., GDPR, SOC 2). Oversee the management of data privacy and security protocols.
- Innovation and Continuous Improvement: Stay abreast of industry trends and emerging technologies in data, analytics, and machine learning. Lead initiatives to explore new tools, techniques, and methodologies that can enhance our data capabilities.
- Project Management and Execution: Oversee the successful delivery of data and analytics projects, ensuring they are completed on time, within scope, and aligned with business objectives. Manage resources effectively to maximize project outcomes.
Job Requirements (Must have)
- Experience: Minimum of 12-15 years in data engineering, analytics, and machine learning, with at least 5 years in a leadership role. Proven experience in managing large-scale data projects and leading cross-functional teams.
- Technical Expertise: Deep knowledge of big data technologies (e.g., Hadoop, Spark, Kafka), data engineering practices, and cloud platforms (e.g., AWS, GCP). Strong proficiency in machine learning frameworks and tools, including Python, TensorFlow, and MLOps platforms.
- Leadership Skills: Demonstrated ability to lead and inspire teams, manage multiple projects simultaneously, and drive results in a fast-paced environment.
- Strategic Vision: Ability to develop and execute a strategic data plan that drives business value. Strong analytical thinking and problem-solving skills, with a focus on delivering measurable outcomes.
- Communication and Collaboration: Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree (e.g., Master’s, Ph.D.) preferred.
Nice to have:
- PhD in Computer Science or Machine Learning or related field.
- Hands-on and theoretical background in machine learning practices and techniques (clustering, decision tree learning, NN, etc), and real-world advantages/drawbacks.
- Experiences with distributed data processing tools like Hive, Spark, Airflow, Tensorflow, Pytorch.
What do we offer?
- Unlimited PTO policy
- Competitive rewards on the market range
- Flexible time (driven by results)
- Start-up environment
- International teamwork
- You and nothing else limit your career here
We care,
We keep it simple,
We make it happen,
We strive for excellence.
At Yalo, we are dedicated to creating a workplace that embodies our core values: caring, initiative, excellence, and simplicity. We believe in the power of diversity and inclusivity, where everyone's unique perspectives, experiences, and talents contribute to our collective success. As we embrace and respect our differences, we strive to create something extraordinary for the benefit of all.
We are proud to be an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic. Our commitment to fairness and equality is a fundamental pillar of our company.
At Yalo, we uphold a culture of excellence. We constantly challenge ourselves to go above and beyond, delivering remarkable results and driving innovation. We encourage each team member to take initiative and make things happen, empowering them to bring their best ideas forward and contribute to our shared goals.
What We Do
Yalo helps businesses offer a delightful customer experience on their customers' favorite apps – Facebook Messenger, WhatsApp, and WeChat. Every business on Yalo has a virtual assistant with an optimized flow that handles customer requests to the point of payment and fulfillment. If at any point the customer need is beyond what the chatflow is capable of doing, the request gets seamlessly transferred to a human agent to provide resolution. Through the Yalo platform, businesses get an artificial intelligence powered CRM that allows them to handle sales and build personal relationships, at scale, on Facebook Messenger, WhatsApp, and WeChat.
Yalo uses deep learning (a machine learning technique) to have chatbots learn from their human counterparts to continuously improve the experience. The team behind Yalo is composed of Columbia University and Salamanca engineers, former PayPal technical leads, and is supported by a group of investors from New York, Mexico and Latin America.
