Kenlo

Marketing

• Support the updating and creation of content for the blog, workflows and rich materials, leveraging AI tools and guidance from the team.
• Collaborate on producing and scheduling social media posts, following the publishing calendar.
• Assist in crafting copy and materials for different formats and communication channels.
• Support the creation and sending of emails and internal communications, contributing to internal marketing (employee engagement) initiatives.
• Support campaign and event production, assisting with quotes, organizing materials and promotional kits.
• Track briefings and requests with design and communications teams, helping to organize requests and deadlines.
• Assist in monitoring campaign results, helping to collect and organize data.
• Contribute behind the scenes to recordings and broadcasts, supporting scripts, materials and coordination.
• Explore AI tools to optimize creative tasks, such as idea generation, copywriting and short-form video production for social media.

Marketing Intern, Content & AI

Sales Development Rep

• Conduct proactive outbound prospecting with a structured, strategic approach, identifying companies that match the Ideal Customer Profile (ICP) and mapping decision-makers.
• Develop multichannel cadences (phone, email, LinkedIn, and other platforms), ensuring consistency and efficiency in opportunity generation.
• Perform cold calls with a consultative approach and strong command of the pitch, leading qualified conversations focused on diagnosing the situation.
• Conduct structured interviews with leads to investigate context, challenges, market timing, and potential fit for Kenlo’s solutions.
• Identify real business opportunities, evaluating qualification criteria (profile, pain point, timing, and investment potential).
• Act as a strategic bridge between Marketing and Sales, improving the quality of scheduled meetings.
• Manage the pre-sales pipeline with a high level of organization, ensuring rigorous CRM updates.
• Analyze performance metrics (connection rates, conversion, qualified meetings, productivity).
• Propose improvements to messaging, approach, ICP, and processes based on data and field learnings.
• Actively contribute to meeting individual and team targets.

Pre-Sales Analyst – SDR

Customer Support

• Attend to customers via chat, phone and other official channels, answering questions and resolving issues related to the use of the platform.
• Conduct interactions focused on understanding the customer's context, ensuring a clear, empathetic and results-oriented experience.
• Assist customers with navigation and use of Kenlo solutions, promoting greater autonomy and satisfaction.
• Receive, log, classify and follow up on tickets through the system, ensuring traceability and adherence to service deadlines.
• Perform technical and functional triage of requests, collecting the information necessary for incident analysis and resolution.
• Escalate tickets to internal teams when necessary, monitoring progress until final resolution.
• Support internal colleagues in resolving questions related to processes, systems and operational workflows.
• Update and maintain the knowledge base with guidelines, articles and recurring solutions.
• Contribute suggestions for improvements to support flows, documentation and client communications.

Customer Support Analyst

Frontend Engineer

• Work across the full lifecycle of digital products, from planning to implementation, with a focus on full-stack web development.
• Develop and maintain clean, sustainable, and well-structured code following engineering best practices.
• Build reusable, testable, and efficient components and services, ensuring quality, security, and maintainability.
• Develop and evolve microservices using Node.js and TypeScript.
• Design and maintain well-structured, secure, and scalable REST APIs.
• Work on service integrations, ensuring application consistency and reliability.
• Implement modern, responsive interfaces using React.
• Translate complex designs into high-quality code with attention to usability and accessibility.
• Apply SEO best practices and performance optimization.
• Use React Hooks, Context API, and composition patterns when building interfaces.
• Work with Serverless Functions, caching (Redis), and asynchronous service communication.
• Work with relational and NoSQL databases, ensuring data efficiency and integrity.
• Develop and run automated tests to ensure the quality and reliability of deliveries.
• Collaborate with multidisciplinary teams (Product, Design, and Infrastructure).

Senior FullStack Developer – React, Node

Engineer

• Design, test and evolve prompts and interaction flows for generative AI models (LLMs), ensuring quality, consistency and predictability of results.
• Create and maintain libraries of prompts, templates and best practices for different use cases, such as automation, customer support, data analysis and decision support.
• Test new models, techniques and approaches, contributing to the continuous improvement of AI solutions.
• Collaborate with Product, Engineering and Data teams to integrate AI solutions into Kenlo's products.
• Translate business problems into practical AI-based solutions, considering context, impact and technical feasibility.
• Support the construction of flows and experiences that use AI efficiently and aligned with product objectives.
• Evaluate performance, cost, quality and risks of generative AI–based solutions.
• Support the definition of AI usage strategies, taking into account security, privacy and scalability.
• Contribute to practices for versioning, testing and monitoring AI results.
• Document learnings, decisions and best practices related to the use of generative AI.
• Share knowledge with teams, strengthening a culture of responsible, efficient and data-driven AI use.

Data Engineer – Prompt Engineer

• Work across the full lifecycle of digital products, from planning through final implementation, with a focus on fullstack web development.
• Develop and maintain clean, well-structured, and sustainable code, following best practices such as Clean Code, SOLID, and evolutionary architecture principles.
• Create reusable, testable, and efficient components and services, ensuring quality, security, and maintainability.
• Collaborate on defining scalable, resilient, and service-oriented architectures.
• Build solutions using serverless architectures, caching, and asynchronous inter-service communication.
• Operate in cloud environments (Firebase, GCP, or AWS), ensuring high availability and performance of applications.
• Integrate Artificial Intelligence solutions into products, using AI APIs, Machine Learning models, LLMs, and generative models.
• Implement pipelines and integrations with AI services to enable smarter, more efficient applications.
• Develop and maintain RAG (Retrieval-Augmented Generation) based solutions, from design to production, using pipelines such as Airflow or Dataflow.
• Orchestrate multiple agents and automation flows using tools like n8n, scripts, bots, and AI solutions to reduce manual work and increase efficiency.
• Work collaboratively with multidisciplinary teams (Product, Data, Design, and Infrastructure) to define technical and architectural strategies.
• Translate complex challenges into efficient technical solutions aligned with product and business goals.
• Actively contribute to building consistent, high-quality end-user experiences.
• Design and run automated tests (unit, integration, and performance), ensuring quality and speed in deliveries.
• Monitor and analyze performance metrics, using data to continuously evolve application behavior and intelligence.
• Propose technical, architectural, and process improvements to drive continuous product evolution.

Marketing Intern, Content & AI

Pre-Sales Analyst – SDR

Customer Support Analyst

Senior FullStack Developer – React, Node

Data Engineer – Prompt Engineer

Senior Fullstack Developer, Node, React, AI