Connectly.ai

Product Manager

• - Define and drive the AI platform roadmap, focusing on scalability, reliability, and developer efficiency.
• - Collaborate with the Platform Engineering Lead and technical leads in Brazil and San Francisco to scope, prioritize, and deliver platform infrastructure that supports rapid AI agent iteration.
• - Design observability and analytics capabilities — instrumentation, dashboards, and metrics frameworks to track agent performance, latency, and uptime across thousands of deployments.
• - Develop configuration and testing systems that enable engineers to safely experiment with prompts, flows, and integrations without affecting production traffic.
• - Optimize LLM performance and cost-efficiency, working with engineering to measure and reduce latency, improve caching, and streamline model evaluation and fallback mechanisms.
• - Own integration strategy with Meta APIs, customer CRM systems, and eCommerce platforms such as Shopify, VTEX, and SAP, ensuring reliable data flow and event synchronization.
• - Partner with infrastructure and data teams to build scalable pipelines for analytics, monitoring, and experimentation across the AI platform.
• - Codify best practices into platform features and tooling, enabling all Connectly teams to build customer-facing AI experiences faster and more reliably.
• - Drive security, privacy, and compliance standards for all platform components and integrations.

Platform Product Manager – EU

Full-stack Engineer

• Design, build, and maintain distributed backend systems using Go, AWS, Kafka, Postgres, and DynamoDB.
• Collaborate cross-functionally with product managers, designers, and enterprise partners to define user journeys, performance goals, and success metrics.
• Own critical parts of Connectly’s platform infrastructure — from messaging orchestration to data pipelines and API integrations.
• Collaborate closely with product, AI, and frontend teams to deliver scalable, customer-facing features.
• Ensure reliability, observability, and operational excellence across all services.
• Establish, track, and iterate on performance metrics, leveraging data to optimize outcomes and drive measurable business results.
• Work asynchronously with global teams, maintaining strong communication and documentation.
• Plan and manage your workstream, making thoughtful tradeoffs between deadlines, quality, and innovation.
• Mentor teammates, contribute to code reviews, and uphold engineering best practices in a fast-moving, distributed environment.

Senior Software Engineer

Engineering Manager

• We’re looking for an Engineering Manager to lead one of Connectly’s core AI and platform engineering teams.
• Reporting directly to the CTO, you will oversee a high-performing organization of 10–20 engineers.
• You’ll play a key role in driving Connectly’s engineering culture, balancing product delivery, architectural excellence, and talent growth.
• Partnering with product, sales, and customer teams to deliver solutions that power the future of AI commerce in Latin America.
• Provide technical leadership, and define strategy in partnership with the CTO — from system architecture and infrastructure design to AI scalability and reliability.
• Stay hands-on with the technology to guide design, code reviews, and architectural decisions that impact system quality and stability.
• Own the quality, reliability, and performance of the product, ensuring stable releases, strong testing practices, and operational excellence.
• Drive engineering processes that balance speed and rigor: sprint planning, technical reviews, postmortems, and iterative improvement.
• Engage directly with enterprise customers when needed, helping design complex integrations with third-party systems such as Meta APIs, CRMs, and eCommerce platforms.
• Take full ownership of hiring, developing, and evaluating engineers, providing continuous feedback, performance reviews, and growth plans.
• Identify and cultivate emerging leaders within your team, fostering a culture of ownership, accountability, and innovation.

AI Engineer

• The AI Lead is responsible for delivering Connectly's AI platform to clients. You will own the success of a portfolio of clients — from designing and implementing journeys and defining new AI features to developing strong client relationships.
• Deliver AI expertise.
• Lead the AI team and leverage our AI platform to collaborate with clients and create outstanding end-user experiences.
• Build strong relationships with clients, helping them shape their AI strategy and address their concerns.
• Create a feedback loop between clients and the Engineering and Product teams.
• Identify the main challenges and opportunities to expand AI applications in customer journeys, and work with clients and Product to address them.
• Define, monitor, and report client success metrics, improving them over time.
• Present results and expansion proposals to different stakeholders.
• Lead the implementation of AI solutions for complex and client-specific problems.
• Adjust product implementation based on data analysis and client feedback.
• Collaborate with the Product team to resolve problems and suggest improvements.

AI Lead, Brazil

• Design, build, and launch production-grade conversational AI solutions for enterprise clients, from rapid prototypes to scalable deployments.
• Collaborate cross-functionally with product managers, designers, and enterprise partners to define user journeys, performance goals, and success metrics.
• Leverage and contribute to Connectly’s AI platform, working with engineering teams in San Francisco to integrate new capabilities and influence platform direction.
• Experiment with AI-driven features, including LLM-based agents, retrieval systems, and automation pipelines to continuously improve customer engagement.
• Develop and maintain backend systems using Python, AWS, Kafka, Postgres, and DynamoDB for scalability and reliability.
• Establish, track, and iterate on AI performance metrics, leveraging data to optimize outcomes and drive measurable business results.
• Plan and manage your workstream, making thoughtful tradeoffs between deadlines, quality, and innovation.
• Mentor teammates, contribute to code reviews, and uphold engineering best practices in a fast-moving, distributed environment.

• Prototyping, building and launching AI experiences for large retailers and enterprises.
• Partnering with PM, sales and clients to define and refine customer requirements.
• Partnering with engineering teams in San Francisco to leverage the latest capabilities of the AI platform as well as contributing to the platform where needed. Providing critical feedback to the platform team to provide support necessary to build great AI solutions.
• Establishing and implementing AI business metrics, analyzing data and iterating to progressively and relentlessly improve business performance.
• Planning your work, negotiating on dates, and offering creative solutions and practical tradeoffs to compromise between client deadlines and feature completeness.

Full-Stack AI Engineer

• Prototype, build, and launch AI experiences for large retailers and enterprises.
• Collaborate with PMs, sales, and clients to define and refine customer requirements.
• Work with engineering teams in San Francisco to leverage the latest capabilities of the AI platform and contribute to the platform where needed. Provide critical feedback to the platform team to ensure support for building excellent AI solutions.
• Define and implement AI business metrics, analyze data, and iterate to continuously improve business performance.
• Plan your work, negotiate timelines, and offer creative solutions and practical trade-offs to balance client deadlines and feature completeness.

Customer Support

• Respond to customer inquiries via email or Zendesk
• Resolve customer issues and complaints effectively
• Provide accurate information about products and services
• Guide customers through troubleshooting processes
• Document customer interactions and solutions in the CRM system (HubSpot)
• Escalate complex issues to higher-level support or management
• Maintain a high level of customer satisfaction
• Stay updated on product knowledge and company policies