Aplazo

Full-stack Engineer

• Lead a squad of 4–8 engineers
• Write code, review PRs, and contribute to technical decisions
• Ensure the squad delivers on commitments with high quality
• Champion testing, observability, and engineering best practices
• Run the squad—lead sprint planning, backlog refinement, retrospectives
• Partner with PMs and designers to translate requirements into deliverable work
• Represent the squad in planning, cross-team syncs, and leadership discussions

Technical Lead

Backend Engineer

• Own features end-to-end — Scope, design, build, test, and ship features independently
• Write quality code — Deliver clean, testable, well-documented code with strong testing discipline
• Unblock the team — Proactively help teammates debug issues and remove blockers
• Handle on-call — Confidently respond to incidents using observability tools
• Mentor newer engineers — Support E1s through pairing, onboarding, and code review
• Leverage AI daily — Use AI tools to accelerate coding, debugging, testing, and learning
• Pay down tech debt — Identify and fix issues that slow the team down

Senior Backend Engineer

Product Manager

• Own the AI roadmap: Define what Aplazo builds with AI, for whom, and in what order.
• Ship AI-Powered products: Lead end-to-end delivery of AI features across the consumer and merchant experience.
• Build internal AI tools: Identify and deliver tools that make Aplazo teams measurably faster.
• Define requirements for the AI platform: Partner with the AI Engineer to translate product needs into platform capabilities.
• Partner on Risk & Data: Collaborate with Risk and Data Science to identify AI use cases.
• AI Strategy & Governance: Establish evaluation standards, responsible use guidelines, and framework setup.

Senior Product Manager, AI

• End-to-end product features — from database schema to API design to the mobile experience users interact with
• Internal tools, merchant-facing platforms, and customer-facing mobile flows
• Observability from day one — SLOs, alerts, dashboards — so you know when something's broken before users do
• Systems designed to be handed off: documented, tested, and legible to the engineer who touches it six months later
• Design and implement features across mobile and backend, owning the full surface area
• Contribute to (E2) or lead (E3) architecture and design decisions — write proposals, present trade-offs, make calls
• Conduct rigorous code reviews — catching correctness issues, security gaps, and opportunities to mentor
• Respond to and resolve production incidents, and leave runbooks better than you found them
• Use AI tools daily — not as a crutch, but as a force multiplier for speed, testing, and exploration
• Help engineers around you grow, especially through pairing, thoughtful feedback, and honest code review (E3)

Senior / Lead Fullstack Engineer

• Own mobile systems end-to-end — Design, build, and operate mobile applications from idea to production
• Lead technically — Run design reviews, set mobile architecture direction, and make technical decisions for your squad
• Mentor engineers — Help E1/E2 engineers grow through pairing, code review, and coaching
• Drive quality — Champion testing strategy, performance optimization, and observability for mobile
• Leverage AI strategically — Use AI for architecture exploration, refactoring, and test generation; build or champion AI-powered tools for the squad
• Optimize for mobile — Ensure apps perform well on devices with limited resources and varying network conditions
• Handle incidents — Lead incident response and postmortems for mobile issues
• Ship predictably — Break down ambiguous problems into clear milestones and deliver on commitments

Lead Mobile Engineer

Data Scientist

• Contribute across Credit Risk, Growth, and AI initiatives
• Own projects end-to-end within your assigned domain
• Develop deep familiarity across multiple domains
• Drive research and exploration workstreams
• Collaborate closely with Lead and Staff Data Scientists
• Identify and flag opportunities for improvement

Lead Data Scientist

• Scale our Core Services Ecosystem: You will help architect and build the backend systems that our Customers and internal teams interact with every day.
• Solve Problems: This is first and foremost your responsibility as an Engineer. You have many tools at your disposal (Development, communication, new process).
• Technical work: Write (and/or learn) plenty of sustainable, testable, high-quality, high-performance code (and be willing to be mentored on how to do the same).
• Team work: Be proactive, ask, and participate in discussions on topics such as testing, and code quality.
• Practice the ways of Devops: Improving our processes, feedback, systems, culture, and workflows.
• Foster a culture of observability and monitoring: Be open to learning how to use operational data to help your team improve the stability and performance of our systems.
• Learn and Evolve: Be open to learning how to scale yourself, taking feedback, and also help others to scale their own talents.

Lead Backend Engineer

• Contribute across Credit Risk (underwriting, fraud, collections), Growth (personalization, recommendations, incentivization), and AI initiatives based on team priorities
• Own projects end-to-end within your assigned domain, data, modeling, deployment, and post-launch monitoring
• Develop deep familiarity across multiple domains and systems, enabling the team to move faster and maintain continuity as we scale
• Drive research and exploration workstreams, evaluating new modeling approaches, alternative data sources, and tooling that keeps Aplazo ahead of the curve
• Collaborate closely with Lead and Staff Data Scientists to deliver on the broader roadmap
• Identify and flag opportunities for improvement across domains, you'll often be the person with the broadest view of what's working and what isn't

Data Scientist, Senior

Customer Success Manager

• Design and execute multi-channel campaigns — email, SMS, WhatsApp, push, in-app.
• Build automated communication journeys grounded in deep customer segmentation.
• Design and run A/B tests and publish performance reports.
• Own the budget and monthly allocation for messaging platforms and marketing tools.
• Actively incorporate AI tools into CRM workflows.
• Mentor and develop CRM Specialists.
• Collaborate with product, marketing, commercial, and credit teams.
• Drive continuous improvement in CRM processes and tooling.