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Engineering Manager

May 12, 2026

Engineering Manager Location: LATAM · Work Model: Fully remote · Language: Native Spanish + English C1/C2 About Koronet Koronet is the leading vertical SaaS, B2B e-commerce, and payments software company for the global floral industry. Our platform combines an inventory and operations management SaaS with an e-commerce channel that enables end-to-end transactions through the B2B supply chain. We manage over $4B in annual transactions, helping keep florists’ shelves stocked, weddings brightly bloomed, and Valentine’s Day brilliant red. The company has offices in Florida, Ecuador, and the Netherlands, with a large development and support office in Medellín, Colombia (the flower growing capital of the world). Our global customers include hundreds of flower growers, importers, and wholesalers whose end customers represent tens of thousands of retail and commercial florists. Our mission is to be the unified operating system for the worldwide floral supply chain by providing mission-critical business operations solutions powering the largest B2B e-commerce network. We are backed by Radian Capital, a growth equity fund in New York City with over $1B in AUM, and we are rapidly expanding across North America and Europe, both through organic growth and acquisitions. About the Role We are looking for an Engineering Manager to lead one of our feature squads. This is the first level of leadership within the Engineering structure, and it is a deeply hands-on role: the EM is the most senior technical voice of the squad, responsible for architecture, technical decision-making, and the quality of everything the squad ships. You will lead a small team of up to 4–5 Software Engineers — senior, highly productive developers who work fluently with AI coding tools and deliver production-grade software every week. You will partner closely with a Product Manager and a UX Designer to turn business problems into shipped, measurable outcomes. The ideal candidate combines strong engineering fundamentals — backend and frontend, distributed systems, cloud-native architectures — with proven leadership of cross-functional teams and real fluency working alongside AI coding agents in production environments. What You Will Do Hands-On Engineering & Architecture <ul> <li>Own the technical design of the squad’s products and features — write and review technical specs, define data models, API contracts, integration patterns, and non-functional requirements (performance, security, observability).</li> <li>Make the hard architectural calls: service boundaries, consistency vs. availability trade-offs, synchronous vs. event-driven integration, caching strategy, scaling model.</li> <li>Stay hands-on with code. Read every pull request the squad ships. Write code directly when the problem is high-risk, novel, or requires deep domain judgment — refactors of critical paths, tricky integrations, incident fixes, spikes on new technologies.</li> <li>Keep technical debt visible and budgeted. Decide what debt is acceptable for velocity and what must be paid down immediately.</li> <li>Drive engineering standards across testing, code quality, security, CI/CD, observability, and release processes.</li> </ul> AI-Augmented Delivery <ul> <li>Lead how the squad uses AI coding tools day-to-day. Define which problems agents should solve autonomously, which require tight human supervision, and which are better done by humans directly.</li> <li>Own the validation gate. Nothing ships to production without your technical sign-off, regardless of whether the code was written by an agent or a human. On high-risk systems (Payments, Logistics, Komet Core, integrations), validation is deep — architecture, edge cases, failure modes, security.</li> <li>Raise the bar on AI productivity across the squad: coach engineers on prompt design, context curation, and output validation; define guardrails; share patterns that work.</li> <li>Capture and share what the squad learns — in code, in written artifacts, and in reusable prompts or skills that help every project after this one run better.</li> <li>Evaluate new AI tooling pragmatically — distinguish real productivity gains from hype, and keep the team fast without sacrificing code health.</li> </ul> Project & Delivery Management <ul> <li>Plan the squad’s roadmap in partnership with PM and UX, balance scope and quality, and give clear visibility to leadership and business stakeholders.</li> <li>Break initiatives into MVP, R1, R2 with PM and UX from the design phase, so delivery has versioning built in.</li> <li>Remove blockers fast. Drive the squad’s execution rhythm — retros, checkpoints, learnings capture — without drowning in ceremony.</li> <li>Participate in incident response and war rooms for the squad’s domain.</li> </ul> People Management & Coaching <ul> <li>Run high-quality 1:1s with your Software Engineers. Own their performance reviews, career development plans, and feedback cycles.</li> <li>Hire, onboard, and ramp up new engineers on both the domain and the squad’s AI-augmented way of working.</li> <li>Strengthen engineering culture, ownership, and a bias for shipping. Protect focus time and sustainable pace.</li> </ul> Cross-Squad & Stakeholder Collaboration <ul> <li>Translate business needs into scalable technical solutions. Deeply understand the domain (floral supply chain, payments, inventory, e-commerce, logistics — whichever applies to your squad).</li> <li>Coordinate with peer EMs on shared concerns: cross-cutting architecture, shared services, platform dependencies, and reusable engineering practices.</li> <li>Act as the point of escalation for both technical and organizational challenges within your squad.</li> </ul> What We Expect From You Technical Skills (Hands-On Required) <ul> <li>5+ years of hands-on software engineering experience in production environments, with at least 2 years in a Tech Lead or Engineering Manager role where you continued to write and review code.</li> <li>Strong backend experience with Java or equivalent JVM/typed backend stacks (Kotlin, C#, Go, TypeScript/Node). Solid understanding of backend architectures, REST/GraphQL APIs, async messaging, and third-party integrations.</li> <li>Strong frontend experience with modern frameworks (Angular, React, TypeScript). You should be able to pair with a frontend engineer on a complex component and lead the design discussion.</li> <li>Solid experience with AWS (EC2, Lambda, S3, RDS, CloudFormation, IAM) and cloud-native architectures. Experience with observability (logs, metrics, traces) and CI/CD pipelines as a first-class concern.</li> <li>Experience designing and evolving distributed systems: service boundaries, data consistency, idempotency, failure handling, and performance at scale.</li> <li>Strong grounding in testing (unit, integration, contract, end-to-end), code quality, and security fundamentals (OWASP basics, authn/authz, secrets management).</li> <li>Comfort with SQL and relational data modeling; experience with data-intensive systems is a plus.</li> </ul> AI-Augmented Engineering <ul> <li>Daily, production-level use of AI coding tools (Claude Code, Cursor, GitHub Copilot, ChatGPT, or equivalent). Not experimentation — actual delivery.</li> <li>Consistently get high-quality output from agents by designing good context, prompts, and constraints. You know the difference between a vague prompt and one that produces production-grade code.</li> <li>Sharp judgment on where AI-generated code creates risk — security, hidden bugs, hallucinated APIs, drift from existing patterns — and concrete practices to mitigate those risks in review.</li> <li>Track record of raising AI productivity across a team: coaching engineers, setting guardrails, and running rigorous review on agent-produced code.</li> </ul> Leadership Skills <ul> <li>3–5+ years leading engineering teams, ideally distributed and multicultural.</li> <li>Proven record of running 1:1s, performance reviews, career plans, hiring, and difficult conversations.</li> <li>Strong prioritization and stakeholder management — you can say no, re-scope, and keep business partners aligned.</li> <li>Fluency with agile practices (Scrum, Kanban) without being dogmatic. You adapt process to team and project, not the other way around.</li> <li>Bias for ownership, delivery, and learning from production. Comfortable with ambiguity and rapid change.</li> </ul> Languages <ul> <li>Native Spanish speaker.</li> <li>Advanced English (C1/C2) — required for written and spoken communication with leadership, product, and international stakeholders.</li> </ul> Nice to Have <ul> <li>Experience designing or building internal tooling for AI-augmented engineering: shared skill libraries, prompt libraries, MCP servers, multi-agent workflows, or internal AI platform components.</li> <li>Public contribution to the AI-assisted engineering space — open-source tools, technical writing, conference talks, or internal playbooks shared externally.</li> <li>Experience leading an engineering team through a full transition to AI-augmented delivery, including redesigning how the team plans, reviews, and ships work.</li> <li>Experience in vertical SaaS, B2B e-commerce, payments, logistics, or supply chain domains.</li> <li>Scrum / Agile certifications (PSM, CSM) or experience acting as a Scrum Master during an agile transformation.</li> <li>Experience scaling engineering teams or products in high-growth, PE-backed environments.</li> </ul> What We Offer <ul> <li>Contractor agreement with a competitive salary and performance-based incentives; salary negotiable based on experience.</li> <li>Fully remote work from anywhere in the Americas.</li> <li>Unlimited vacations.</li> <li>A senior, multicultural engineering team and real influence over technical and product strategy across frontend, backend, and AI-augmented delivery.</li> <li>Financial support for studies, training, and certifications — we actively invest in continuous learning.</li> </ul> Why Join Koronet <ul> <li>To solve real problems: You will own mission-critical systems that move $4B+ in annual transactions across the global floral supply chain.</li> <li>Global and remote-first: Work with a diverse team across the Americas and Europe, with flexibility to work from anywhere.</li> <li>Ownership culture: Small squads, clear ownership, empowered decisions. No layers between you and impact.</li> <li>Growth and development: We back continuous professional growth with time, budget, and real stretch opportunities.</li> <li>Modern ways of working: Join a team that treats AI-augmented engineering as a serious discipline, not a novelty.</li> </ul> If you’re passionate about engineering excellence, love being hands-on, and want to lead a high-performing, AI-fluent squad in a fast-growing B2B SaaS — we want to hear from you.

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1. HOW DO YOU PLAN YOUR DAY?

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...