Provectus is a Premier AWS Partner and an Anthropic partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Healthcare and Life Sciences, Retail, and Entertainment. We build custom systems on live client data, not off the shelf products and not demos.We are opening a Solution Owner seat on our Delivery team in Colombia and Costa Rica. This is an early career seat, but it is not a training seat. You will sit between the client and the engineering team on a real engagement, own a slice of scope, and be expected to figure out the next step yourself.The profile we are looking for is specific: you started technical, as a software, data, or ML engineer, and you have already moved toward the business side of building products, or you are ready to make that move now. You are the person on the team who automates their own work with AI tools before anyone asks.ResponsibilitiesOwn a defined slice of a client engagement, from use case framing through backlog, release, and resultRun discovery sessions and workshops with client stakeholders, and turn what you hear into written scope engineers can build againstTranslate technical constraints into business language, and business goals into technical requirementsMaintain a groomed backlog with sized, technically specific stories, and drive sprint planning and release cadencePrototype rapidly on live client data using our delivery stack, including Claude, Claude Code, MCP servers, and SkillsWork alongside GenAI and agentic AI builds, including RAG, agent workflows, and LLM integrations, closely enough to judge quality and explain trade offsDefine success metrics for your slice of scope and report progress honestly, including when something is not workingBuild reusable artifacts, demos, and documentation so the next engagement starts faster than yours didPartner with Principal Architects,



Forward Deployed Engineers, and account teams across US and LATAM time zonesRequirements2 to 4 years of total professional experience, including hands on engineering time as a software, data, or ML engineerAt least 1 year in a product, delivery, or client facing role such as Product Owner, Technical Product Owner, Business Analyst, Delivery Lead, or equivalentDaily use of GenAI tools in your own workflow, Claude and Claude Code preferred, with concrete examples of workflows you redesignedAbility to read code and technical documentation well enough to hold a real conversation with senior engineersPractical Agile and Scrum experience: backlog, sprints, planning, retrospectivesWritten and spoken English at B2 or above, comfortable leading a client call without a manager in the roomSelf direction as a default. You are given a goal and ambiguity, not a task list, and you move anywayBased in Colombia or Costa RicaExposure to Financial Services and Insurance or Healthcare and Life Sciences clientsWorking understanding of GenAI concepts: prompt engineering, RAG, embeddings, vector databases, agentic patternsFamiliarity with AWS, especially Bedrock, SageMaker, Lambda, or S3Experience shipping an LLM or RAG feature that reached real usersExperience building your own automations, scripts, MCP integrations, or internal toolsConsulting or professional services backgroundCertifications such as CSPO, SAFe PO/PM, or AWS Cloud PractitionerBenefitsReal client delivery on frontier AI from month one, not shadowingDirect access to Principal Architects and Forward Deployed Engineers as your working peersAnthropic and AWS partnership work, with early access to tooling and premium AI subscriptionsInternal training programs and full support for AWS and Claude certificationsA clear growth path toward Senior Solution Owner or Solutions ArchitectureRemote work with versátil hours across US and LATAM overlapLong term B2B collaborationEquipment budget and all the tooling you need#J-18808-Ljbffr

📌 Technical Product Owner | Genai Delivery (Mid-Level) (Colombia)
🏢 Provectus
📍 Colombia