VTEX DCS Program

VTEX DCS is a global program that prepares recent graduates to become specialists in the Digital Commerce industry. During the program, participants receive the most crucial knowledge and skills in high demand in the market, especially in solution architecture. Lasting for 18 months, the program combines a full-time employment opportunity with a learning program that offers an innovative and unique approach provided by the EICOM Institute.​

Requirements  

• Bachelor's degree. For this edition, your graduation date must be between December 2023 and July 2026.
• Proficiency in written and oral English is a must; additional languages such Spanish and Portuguese are a plus.
• You must reside or have availability to work in São Paulo, and attend the office 4 days a week. Please note: VTEX is not responsible for relocation costs.
• Previous experience in ecommerce and B2B companies is preferable.
• Programming and IA skills can be an advantage but are not a requirement.

Additional information​

• Salary of COP 6,000,000 + Annual Bonus 
•  Health coverage
• Life and travel insurance
• Meal allowance
• Friday in Focus: dedicated Friday afternoons for personal development and well-being
• Life Insurance 
• Transportation Allowance
• Workout reimbursement (up toUS$ 30 per month)
• Maternity and paternity leave
• Paid time off, in compliance with local employment laws
• Reimbursement for language courses (up to 80% of the value)

Who are we looking for? 

We are looking for achievers. You need to be challenge-driven and have the initiative to set goals aligned with both your success and VTEX’s. 

We are also after people with strong math and analytical skills, tech-oriented, and passionate about digital commerce, AI-driven and global trade.

People who like to solve problems, who are curious and questioning, take a proactive stance, and want to become a reference in the ecommerce market.

About VTEX

VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,600 global B2C and B2B clients, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,500 active online stores across 43 countries (as of FY ended on December 31, 2023). For more information, visit www.vtex.com.Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,700 employees scattered across 18 locations in 12 countries in Latin America, North America, Europe, and Asia.At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together.

How does the DCS Program work?

The DCS Program has two main pillars – Hands-on Experience and Learning Experience – that will teach you all you need to know to pursue a career as a Solution Architect, Commerce engineering or Solution engineering.

Hands-on experience 

At VTEX, we treat our young colleagues and interns exactly the same as our senior team members. Don’t expect ordinary tasks. You will be encouraged to step outside your comfort zone. From day one, you will face big challenges and work directly with our customers worldwide. You will dig into complex cases and data and participate in projects that are important for the company's growth. 

Learning Experience

Here at VTEX, we believe that a Solutions Architect must have a skill set that will affect the success of our work. These skills are formed through technical and business expertise.  Therefore, during your learning journey with the EICOM Institute, you will dive deep into topics such as:

• Selling channels functionalities.
• Inventory sourcing flows.
• B2C and B2B cases and architecture best practices.
• Details of the VTEX Commerce Platform.
• How to shape the VTEX functionalities to address customers' demands easily and sustainably.
• Cases of VTEX clients in all industries and their success stories.

Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

We’re expanding our capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Regional HR Operations Leader to play a critical role in establishing and embedding Precision’s HR Operations model across the region. 

Working as part of a connected global HR Operations leadership team, the Regional Lead ensures consistent, compliant, and employee-centered delivery of HR services while helping to standardize and evolve processes across all regions.

This role leads a team of local HR Operations Specialists and partners closely with Global HRBPs, Centers of Excellence (COEs), Payroll, Legal and the Employee Relations Management Office (ERMO), and actively contributes to the global HR Operations strategy - shaping how Precision builds an agile, digitally enabled service model for the future.

Key Responsibilities:

Establish & Lead Regional HR Operations

• Build and lead the HR Operations structure and ways of working across the region, ensuring alignment with the global model.
• Oversee day-today delivery of HR services and lifecycle transactions (onboarding, changes, exits).
• Coach and develop HR Operations Specialist to ensure accuracy, consistency, and compliance.
• Maintain strong governance for data integrity, process adherence, and documentation standards.

Operate as One Global HR Operations Team

• Collaborate closely with fellow Regional HR Operations Leads to standardize processes, templates, and service delivery across all regions.
• Share insights, challenges, and best practices regularly to ensure a unified global approach to HR Operations.
• Contribute to the design and implementation of global process maps, playbooks, and knowledge content for Tier 0/1.
• Support global alignment in systems, workflows, and automation initiatives.

Partner & Collaborate Across HR

• Partner with Global HRBPs, COEs, Payroll, Legal and Finance to deliver seamless and compliant HR processes.
• Act as the regional escalation point for complex or sensitive employee matters.
• Work with the Employee Relations Management Office (ERMO) on case handling standards and trend analysis.
• Ensure close partnership with Tier 0/1 teams to streamline knowledge sharing and case management.

Continuous Improvement & Digital Enablement

• Identify opportunities to simplify, standardize, and automate HR processes.
• Support the introduction of digital tools, workflows, and AI-enabled solutions that enhance efficiency and employee experience.
• Contribute to global HR Operations projects, pilots, and technology deployments.

Data & Insight

• Use metrics and data to monitor HR Operations performance, identify improvement opportunities, and drive accountability.
• Provide regional insight to the VP, HR Operations to inform decisions, trends, and prioritization.

Leadership & Culture

• Foster a culture of collaboration, inclusion and continuous learning within the regional team.
• Role-model Precision’s values of Client Service, Purpose, Accountability, Mutual Respect and Collaboration.
• Encourage innovation, curiosity, and shared ownership across regions to continually evolve HR Operations globally.

Experience & Skills:

Essential

• Broad HR Operations or Shared Services experience across multiple countries.
• Proven success leading teams and embedding new ways of working.
• Deep understanding of HR processes, compliance, and governance.
• Strong collaboration skills and comfort working in a global matrix environment.
• Data-driven, analytical mindset with an eye for simplification and continuous improvement.
• Comfort navigating ambiguity and building structure from the ground up.

Desirable

• Experience with global HRIS platforms - ideally SAP SuccessFactors.
• Familiarity with automation or AI-enabled HR solutions.
• Exposure to global service delivery models or shared service environments.

Key Competencies:

• Collaborative and delivery-focused mindset with a strong sense of ownership.
• Skilled at building alignment across regions and working as part of one global HR Operations team.
• Ability to synthesize information quickly and communicate clearly across different audiences.
• Comfortable working in a dynamic fast-paced environment while balancing multiple priorities.
• Curious about technology and confident adopting new tools, automation, and AI to simplify work.
• Pragmatic and solutions-oriented - focuses on making processes work in real life, not just on paper.

We’re expanding our capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Regional HR Operations Leader to play a critical role in establishing and embedding Precision’s HR Operations model across the region. 

Working as part of a connected global HR Operations leadership team, the Regional Lead ensures consistent, compliant, and employee-centered delivery of HR services while helping to standardize and evolve processes across all regions.

This role leads a team of local HR Operations Specialists and partners closely with Global HRBPs, Centers of Excellence (COEs), Payroll, Legal and the Employee Relations Management Office (ERMO), and actively contributes to the global HR Operations strategy - shaping how Precision builds an agile, digitally enabled service model for the future.

Key Responsibilities:

Establish & Lead Regional HR Operations

• Build and lead the HR Operations structure and ways of working across the region, ensuring alignment with the global model.
• Oversee day-today delivery of HR services and lifecycle transactions (onboarding, changes, exits).
• Coach and develop HR Operations Specialist to ensure accuracy, consistency, and compliance.
• Maintain strong governance for data integrity, process adherence, and documentation standards.

Operate as One Global HR Operations Team

• Collaborate closely with fellow Regional HR Operations Leads to standardize processes, templates, and service delivery across all regions.
• Share insights, challenges, and best practices regularly to ensure a unified global approach to HR Operations.
• Contribute to the design and implementation of global process maps, playbooks, and knowledge content for Tier 0/1.
• Support global alignment in systems, workflows, and automation initiatives.

Partner & Collaborate Across HR

• Partner with Global HRBPs, COEs, Payroll, Legal and Finance to deliver seamless and compliant HR processes.
• Act as the regional escalation point for complex or sensitive employee matters.
• Work with the Employee Relations Management Office (ERMO) on case handling standards and trend analysis.
• Ensure close partnership with Tier 0/1 teams to streamline knowledge sharing and case management.

Continuous Improvement & Digital Enablement

• Identify opportunities to simplify, standardize, and automate HR processes.
• Support the introduction of digital tools, workflows, and AI-enabled solutions that enhance efficiency and employee experience.
• Contribute to global HR Operations projects, pilots, and technology deployments.

Data & Insight

• Use metrics and data to monitor HR Operations performance, identify improvement opportunities, and drive accountability.
• Provide regional insight to the VP, HR Operations to inform decisions, trends, and prioritization.

Leadership & Culture

• Foster a culture of collaboration, inclusion and continuous learning within the regional team.
• Role-model Precision’s values of Client Service, Purpose, Accountability, Mutual Respect and Collaboration.
• Encourage innovation, curiosity, and shared ownership across regions to continually evolve HR Operations globally.

Experience & Skills:

Essential

• Broad HR Operations or Shared Services experience across multiple countries.
• Proven success leading teams and embedding new ways of working.
• Deep understanding of HR processes, compliance, and governance.
• Strong collaboration skills and comfort working in a global matrix environment.
• Data-driven, analytical mindset with an eye for simplification and continuous improvement.
• Comfort navigating ambiguity and building structure from the ground up.

Desirable

• Experience with global HRIS platforms - ideally SAP SuccessFactors.
• Familiarity with automation or AI-enabled HR solutions.
• Exposure to global service delivery models or shared service environments.

Key Competencies:

• Collaborative and delivery-focused mindset with a strong sense of ownership.
• Skilled at building alignment across regions and working as part of one global HR Operations team.
• Ability to synthesize information quickly and communicate clearly across different audiences.
• Comfortable working in a dynamic fast-paced environment while balancing multiple priorities.
• Curious about technology and confident adopting new tools, automation, and AI to simplify work.
• Pragmatic and solutions-oriented - focuses on making processes work in real life, not just on paper.

Brief Overview 

As a Staff Site Reliability Engineer (P4), you will define and elevate the reliability standards across the platform. This role goes beyond owning individual services — you will establish the patterns, practices, and tooling that enable all teams to build and operate reliable systems at scale.

You will operate across team boundaries, identifying systemic reliability risks and designing cross-cutting solutions that improve the overall health of the platform. Acting as a bridge between service-level reliability and organizational maturity, you will help ensure reliability becomes a built-in property of the system rather than a reactive effort.

This role combines deep technical expertise with strong leadership and influence. You will mentor senior engineers, guide architectural decisions, and promote a culture of proactive reliability, observability, and operational excellence across the organization.

Core Responsibilities 

• Define and evolve reliability standards, patterns, and tooling adopted across the platform.
• Own the reliability posture for critical service domains and drive architectural reviews to ensure reliability, operability, and recovery are first-class concerns.
• Design and implement cross-cutting reliability mechanisms such as circuit breakers, retry policies, graceful degradation, and load shedding.
• Establish and maintain scalable SLO frameworks that teams can adopt with minimal friction.
• Lead complex, multi-service incident response as an incident commander and drive high-quality postmortems focused on systemic improvements.
• Identify recurring incident patterns and implement structural solutions to prevent future failures.
• Improve incident response processes, tooling, escalation paths, and communication practices.
• Design and drive observability strategies across services, including metrics, logs, traces, and alerting systems.
• Ensure alerting is actionable and aligned with SLOs, and build shared dashboards and runbooks to reduce time to resolution.
• Collaborate with Platform Engineering to strengthen infrastructure reliability across Kubernetes (EKS), networking, and data systems.
• Contribute to infrastructure as code for reliability-critical components and validate disaster recovery, backup, and restore strategies.
• Drive chaos engineering practices and ensure deployment pipelines include reliability safeguards such as health checks, canary releases, and rollback automation.
• Lead capacity planning and performance optimization efforts across services and shared infrastructure.
• Identify bottlenecks and failure risks across distributed systems and design solutions that improve resilience and recovery.
• Mentor engineers through design reviews, incident leadership, and knowledge sharing.
• Promote best practices, improve operational maturity across teams, and influence engineering culture toward proactive reliability investments.
• Represent reliability concerns in cross-functional planning and contribute to long-term platform strategy.

Qualifications

• 8+ years of experience in Site Reliability Engineering, infrastructure, or production engineering roles.
• Strong experience operating and improving large-scale production systems in AWS environments.
• Deep expertise in Kubernetes (preferably EKS), including networking, scheduling, and observability.
• Hands-on experience with Infrastructure as Code tools such as Terraform or CDKTF.
• Advanced understanding of distributed systems, networking, and failure modes.
• Experience designing and managing observability stacks (e.g., Prometheus, Grafana, OpenSearch, OpenTelemetry).
• Proven experience leading incident response for complex, multi-service production environments.
• Demonstrated ability to drive systemic reliability improvements across teams and platforms.
• Strong written communication skills, including experience creating postmortems, design documents, runbooks, and architectural proposals.
• Experience with service mesh technologies (e.g., Istio) and mTLS is a plus.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux) is a plus.
• Experience working in compliance-driven environments (e.g., HIPAA, SOC2, FedRAMP) is preferred.
• Exposure to chaos engineering practices and cost-aware infrastructure design (FinOps) is a plus.

Do Well. Live Well. At Amwell. 

Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren’t just aspirations – they are how we work, every day.  

Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn – to name a few. It’s our people who truly differentiate us. Ask anyone and they’ll tell you – you’ll never work with more passionate, more driven and more caring team members.    

We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you’ll do the most meaningful work of your career—improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are.  

Working at Amwell:

Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. 

Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.

Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community! 

Benefits

Additional Benefits

• Medical Plan Coverage provided by Colmédica 
• Plan Coverage provided by Pan American 
• Hybrid Allowance 
• Additional Paid Time Off 
• Maternity Leave 18 weeks 
• Parental/Paternity Leave 2 mandatory weeks + 4 weeks 
• Mental Health and Resiliency 
• Virtual Second Opinion with the Cleveland Clinic Coverage 
• LinkedIn Learning 
• Rewards and Recognition 
• Service Anniversaries 
• Annual Bonus 
• Referral Program
• Amwell tuition reimbursement benefit

https://business.amwell.com/privacy-policy/

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Senior Frontend UX/UI Developer, you will be responsible for designing and developing user-centric interfaces using Angular and Figma. You will ensure consistency across digital products while collaborating closely with designers, product owners, and backend teams.  

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design and implement responsive, high-performance web interfaces using Angular. 
• Translate UX/UI designs from Figma into clean, maintainable, and scalable code. 
• Ensure consistency in UX across platforms, components, and user flows. 
• Collaborate with UX designers to refine user journeys and improve usability. 
• Develop reusable UI components and maintain a scalable design system. 
• Optimize applications for performance, accessibility, and cross-browser compatibility. 
• Work closely with backend developers (Node.js) to integrate APIs and services. 
• Participate in code reviews and enforce frontend best practices. 
• Continuously improve UI/UX standards, patterns, and design consistency. 
• Mentor junior developers and contribute to team knowledge sharing. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• 5+ years of experience in frontend development. 
• Strong expertise in Angular. 
• Advanced knowledge of JavaScript and modern frontend architectures. 
• Experience working with Node.js for frontend-backend integration. 
• Strong proficiency in Figma and UX/UI design principles. 
• Deep understanding of UX consistency, usability, and accessibility standards. 
• Experience building and maintaining design systems. 
• Responsive design and cross-browser compatibility expertise. 
• Strong problem-solving and collaboration skills. 
• Upper-intermediate English level. 

Nice to have qualifications  

• Experience with component libraries and UI frameworks. 
• Knowledge of performance optimization techniques. 
• Familiarity with Agile/Scrum environments. 
• Understanding of user research and usability testing. 
• Experience working in global teams. 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Title: Implementation Engineer

Location: Medellin, Colombia

Hybrid model: 2 times per week at the office. 

Role Overview:
Implementation Engineers collaborate with both new and existing clients to implement NICE products, acting as experts in configuring the client’s NICE portal and integrating it into their business processes. They take primary responsibility for setting up and implementing technical systems and applications, leveraging configuration tools, programming knowledge, and project management expertise.

Key Responsibilities:

• Collaborate with clients to gather requirements and design tailored implementation strategies.
• Configure contact center solutions, including advanced call flows, IVR paths, APIs, and integrations.
• Configure and implement the client’s portal, utilizing NICE platform tools, including advanced features like APIs and integrations.
• Collaborate closely with Engagement Managers and Implementation Consultants to ensure successful onboarding and implementation.
• Troubleshoot technical issues during implementation and support User Acceptance Testing (UAT) to meet client requirements.
• Manage multiple client engagements simultaneously, ensuring timely and high-quality delivery.
• Document configuration steps, create process plans, and develop guides for specific products or features.
• Act as a key resource for improving configuration and implementation processes, sharing best practices and identifying areas for efficiency gains.
• Provide feedback to the Product Management team to support product enhancements and client needs.
• Use project management and ticketing tools like Asana, Rocketlane, Salesforce, Jira, and Confluence to track and manage implementation workflows.

• Design AI flows using different tools (low code-no code designer, vibe coding, scripting)

Qualifications:

• Bachelor’s degree in Telecommunications, Computer Science, or a related field.
• 3+ years of experience in implementing SaaS solutions, preferably in the contact center or telecommunications space.
• Previous experience in project implementation, customer service, or technical support is required.
• Experience in client-facing implementation is essential, ensuring successful project delivery and building strong relationships.
• Knowledge of programming languages, such as JavaScript, HTML, Perl, or Java.
• Experience with APIs, webhooks, and integrating third-party systems.
• Familiarity with IVR systems and contact center workflows.

• Basic knowledge of Data Base and writing SQL queries
• Proficiency in troubleshooting and problem-solving in complex technical environments.

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Self-motivated with strong organizational and time management skills.

Preferred Skills:

• 3 years of experience working with the LiveVox, NiCE, Genesys, Five9, Alvaria, TCN or similar.
• Knowledge of cloud technologies and platforms (e.g., AWS, Azure).
• Experience in implementing digital channels such as Email, SMS, Chat, and Chatbot, etc.
• Solution Architecture: Ability to design scalable outbound solutions that integrate with CRM, compliance systems, and analytics platforms.
• Solution Architecture: Ability to design scalable outbound solutions that integrate with CRM, compliance systems, and analytics platforms.
• Outbound Contact Center Expertise: Deep understanding of campaign orchestration, dialing modes (predictive, preview, progressive), and contact strategies.
• AI/ML Awareness: Understanding of how AI can enhance outbound operations (e.g., call outcome prediction, agent coaching)

Role: Digital Designer 

Location: Remote (Colombia)

Language: Proficiency in English is required as we are a global business

About the role: 

We’ve got an amazing opportunity for one super talented Digital Designer to become part of the Brandtech+ global family and network. Our only ask of you would be to develop and create leading visual concepts that communicates inspiring digital ideas that are informative as they are captivating.   

Drive best-in-class design practices and roll out your design thinking and execution across 360-degree campaigns. Your design experience should be broad, your portfolio should feature design projects previously executed on past or present client that includes BTL print elements, digital, visual merchandising, and in-store signage, although you’re not limited to these. A great spread of your experience, expression of concepts and ideas using graphics and language all within the field of visual communication is what we’re looking forward to seeing from you.   

You will be responsible for designing, managing, and producing design concepts through to full artwork stage for a wide variety of outputs. This role will work under the direction of a Creative Director and work with and provided support to the broader creative team to assist, guide and mentor the executional process. Our ideal candidate will have prior in-agency or design firm experience and a portfolio to match.   

You will be working within brand guidelines, producing design and artwork to the client’s brief and exacting standards. They will proactively manage projects within agreed timescales considering quality, accuracy, and consistency. The expectation is to maintain a fast paced and responsive workflow across multiple projects and brands within our organisation whilst learning from others and developing your craft along the way. 

What you will be doing: 

• Meet with clients, project team or account manager to clearly understand the brief.  
• Design research to deliver fresh insight, ideas, and demonstrate effectiveness across all partner brands with knowledgeable interest and in-depth understanding. 
• Work on projects from start to finish — working collaboratively across teams on ideation, creation, and implementation.
• Show strong conceptual and integrated design thinking for web, ecommerce, social content, and digital marketing.
• Show strong conceptual and integrated design thinking for digital and social advertising. 
• Define the look and feel for variety of digital design projects. 
• Implement existing brand guidelines and templates on projects. 
• The ability to work under direction and using your own initiative. 
• Presenting your work internally and to clients and manage workloads within agreed timings. 
• Keeping up to date with current design trends.
• Understand what makes GREAT content e.g., best practices for making ecommerce, social assets and mobile first. 

What you need to be great in this role: 

• A rich portfolio of relevant work examples - digital, banners, emails, landing pages, in-store, event materials, collateral, icons, infographics, brochures, and campaigns. 
• A keen sense of personal responsibility for the quality control, presentation, and accuracy of all work.
• Solid understanding of graphic design and web technologies.
• Brand identity, visual systems, and campaign identities as real working experience.
• Social and video design experience with Visual Arts BS/BA degree a plus.
• A portfolio demonstrating your ideas through to execution.
• A passion for digital trends and interaction / animation design.
• You’ll have a deep affinity with layout, typography, and ideas-generation.
• Proficiency in Adobe CC suite applications including Photoshop, Illustrator  and associated prototyping.
• A team player and possess the ability to build strong and effective working relationships.
• Handle multiple projects simultaneously and thrive in a fast-paced, deadline-driven environment.
• A portfolio comprised of traditional and digital, conceptual campaign, design, and interaction design work.
• Willingness to accept feedback and iterate over designs in a highly-collaborative, low-ego team environment.
• Overflowing with curiosity, creativity, and ambition. 

Req ID: 15587

#LI-REMOTE

 #LI-MV1

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

About Backblaze

Backblaze provides reliable, high-availability cloud storage trusted by consumers, SMBs, enterprises, and developers in over 150 countries. Backblaze B2 Cloud Storage supports data-intensive workloads including backup, media, analytics, and modern AI pipelines. Our teams focus on building secure, durable, scalable systems with a strong emphasis on application security from day one and protecting customers to keep them safe.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us.

About the Role

We are seeking a Senior Back-End Engineer for our Computer Backup Back-End Team. This team focuses on the back-end services of our Computer Backup product. In this role, you will build and maintain systems to back up and restore exabytes of data.

We are looking for an engineer who is knowledgeable in high-performance, highly multithreaded architectures. We value versatility and are looking for someone comfortable designing and working across any technology as our needs evolve.

Responsibilities:

• Design and develop highly scalable, performant services and APIs in a Java ecosystem.
• Integrate AI coding agents and frameworks into your workflow to accelerate development, refactor legacy components, and improve code quality.
• Own the full technical lifecycle, including estimation, design, development, and delivery.
• Collaborate across the organization to ensure project success. You will often engage with QA, Data Centers, Marketing, Product Management, Support, Legal/Compliance, and Security to gather necessary context and requirements to implement solutions correctly, help customers, and solve problems.
• Diagnose complex issues and maintain the stability of large-scale production systems.
• Collaborate across functional teams and provide technical leadership to foster engineering excellence.

Required Qualifications:

• A strong track record of proven project deliveries and successfully shipping complex software systems.
• 7+ years of experience with Java and a deep understanding of backend architecture.
• Professional experience incorporating AI-assisted development tools (e.g., Gemini, Cursor, Claude Code) into your engineering workflow.
• Experience with…

- Relational databases, such as MySQL/Vitess and SQLite
- Observability tools, such as Prometheus, Grafana, and OpenSearch
- Data formats: JSON, XML

• Comfort working in a cross-platform environment (we develop on MacBooks for software that runs on Linux, and we use Windows for some testing).
• Filesystem expertise with Ext4, NTFS, and HFS+ (nice to have).
• Solid understanding of HTTP principles and security best practices.
• A strong desire to learn and adapt to rapidly changing technologies and tools.

Why Backblaze

• Build secure software used by companies worldwide
• Work at the intersection of AI, data, and cloud storage
• Collaborate with experienced engineering, security, product, and QA teams
• Competitive compensation and benefits
• Remote-first culture supporting work-life balance

At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

#LATAM

Brief Overview 

As a Staff DevOps Engineer, you will play a key role in strengthening the scalability, reliability, and automation of Amwell’s infrastructure and DevOps platforms. You will help design and evolve cloud systems that enable product teams to deliver software faster, more safely, and with greater operational confidence.

This role combines deep hands-on technical expertise with cross-team collaboration. You will work closely with engineering, SRE, and platform teams to improve infrastructure automation, observability, and deployment reliability across the organization.

You will contribute to technical direction, mentor engineers, and promote best practices that ensure Amwell’s platforms remain resilient, secure, and efficient. Above all, you will help build systems that support reliable product delivery and continuous innovation.

Core Responsibilities 

• Design and improve scalable cloud infrastructure that supports high availability and performance.
• Contribute to the evolution of multi-region and multi-account architectures across AWS, GCP, or Azure.
• Collaborate with SRE and product teams to improve system resiliency, latency, and operational efficiency.
• Identify potential reliability risks and propose improvements that strengthen platform stability.

Qualifications

• Design, build, and maintain CI/CD pipelines that support reliable and efficient software delivery.
• Implement Infrastructure as Code practices using tools such as Terraform, Ansible, or similar technologies.
• Support modern deployment strategies such as blue-green, canary, and progressive delivery.
• Continuously improve automation frameworks to reduce operational overhead and improve developer productivity.
• Implement and enhance observability practices using tools such as Prometheus, Grafana, ELK, or OpenTelemetry.
• Partner with engineering teams to define and monitor SLIs and SLOs aligned with service reliability goals.
• Participate in incident response processes and contribute to post-incident learning and system improvements.
• Support the development of resilient systems capable of handling production scale workloads.
• Collaborate with security and platform teams to ensure infrastructure aligns with organizational security standards.
• Support automation of security and compliance controls within infrastructure and deployment pipelines.
• Contribute to maintaining compliance with frameworks such as HIPAA and SOC2.
• Promote secure infrastructure practices across engineering teams.
• Work with engineering and platform teams to optimize infrastructure performance and cloud resource utilization.
• Support cost awareness initiatives by helping teams understand and optimize their cloud usage.
• Implement monitoring and scaling strategies that balance performance and cost efficiency.

Do Well. Live Well. At Amwell. 

Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren’t just aspirations – they are how we work, every day.  

Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn – to name a few. It’s our people who truly differentiate us. Ask anyone and they’ll tell you – you’ll never work with more passionate, more driven and more caring team members.    

We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you’ll do the most meaningful work of your career—improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are.  

Working at Amwell:

Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. 

Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.

Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community! 

Benefits

Additional Benefits

• Medical Plan Coverage provided by Colmédica 
• Plan Coverage provided by Pan American 
• Hybrid Allowance 
• Additional Paid Time Off 
• Maternity Leave 18 weeks 
• Parental/Paternity Leave 2 mandatory weeks + 4 weeks 
• Mental Health and Resiliency 
• Virtual Second Opinion with the Cleveland Clinic Coverage 
• LinkedIn Learning 
• Rewards and Recognition 
• Service Anniversaries 
• Annual Bonus 
• Referral Program
• Amwell tuition reimbursement benefit

https://business.amwell.com/privacy-policy/

Brief Overview 

We’re seeking a highly skilled Senior Software Engineer with strong backend expertise and growing full-stack capabilities to join our engineering organization. This role focuses on designing, developing, and maintaining critical services within Amwell’s Revenue Cycle Management (RCM) solution suite.

The ideal candidate has deep experience building scalable microservices, strong cloud knowledge, and a passion for delivering reliable, high-quality systems. You’ll collaborate with cross-functional teams to support key financial workflows while contributing to innovation initiatives across the engineering organization.

Core Responsibilities 

• Design, develop, and maintain scalable backend services within a microservices architecture.
• Build and support core RCM platform services, including payment, eligibility, cost, and discount services.
• Develop high-performance, reliable APIs and ensure system scalability and resilience.
• Participate in architectural discussions and contribute to backend system design decisions.
• Support integration between backend services and frontend applications.
• Contribute to full-stack initiatives, including Angular upgrades and UI auditing features such as RTE calculation workflows.
• Troubleshoot production issues and optimize system performance.
• Write clean, maintainable, and well-documented code following best practices.
• Collaborate with cross-functional teams to deliver technical solutions aligned with business needs.
• Contribute to innovation initiatives, including participation in engineering AI programs and committees.

Qualifications

• Strong experience with backend development using Java and Spring Boot.
• Experience building and maintaining microservices architectures.
• Proficiency with TypeScript and modern backend development practices.
• Experience working with relational and/or NoSQL databases.
• Hands-on experience deploying and supporting applications in AWS environments.
• Strong problem-solving and troubleshooting skills.
• Ability to manage multiple priorities in fast-paced environments.
• Excellent collaboration and communication skills.

Do Well. Live Well. At Amwell. 

Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren’t just aspirations – they are how we work, every day.  

Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn – to name a few. It’s our people who truly differentiate us. Ask anyone and they’ll tell you – you’ll never work with more passionate, more driven and more caring team members.    

We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you’ll do the most meaningful work of your career—improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are.  

Working at Amwell:

Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. 

Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.

Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community! 

Benefits

Additional Benefits

• Medical Plan Coverage provided by Colmédica 
• Plan Coverage provided by Pan American 
• Hybrid Allowance 
• Additional Paid Time Off 
• Maternity Leave 18 weeks 
• Parental/Paternity Leave 2 mandatory weeks + 4 weeks 
• Mental Health and Resiliency 
• Virtual Second Opinion with the Cleveland Clinic Coverage 
• LinkedIn Learning 
• Rewards and Recognition 
• Service Anniversaries 
• Annual Bonus 
• Referral Program
• Amwell tuition reimbursement benefit

https://business.amwell.com/privacy-policy/

Brief Overview 

The Full Stack & AI-Augmented Development will play a critical role within the engineering organization here at Amwell. We are looking for a passionate, results-driven developer to build and scale our cloud-based healthcare solution. This role is for a hands-on builder who excels in a continuous delivery environment and is a power-user of AI-augmented development tools to drive improved code quality and velocity.Our software combines the best elements of the web, video, and telephony to bring patients and providers together in innovative new ways. You will be responsible for the full lifecycle of features, from responsive front-end single page applications (SPAs) to robust back end microservices.

Core Responsibilities 

• Feature Development: Design and implement end-to-end functionality using JAVA, Node.js, Angular for Amwell’s Next Generation Software.
• AI-Driven Productivity: Lead the adoption of advanced AI coding assistants (e.g., Kiro, Cursor, GitHub Copilot, or Agentic IDEs) to accelerate refactoring, documentation, and feature delivery.
• Quality Engineering: Drive "shift-left" quality by using AI tools for automated test generation, deep-level debugging, and proactive security scanning.
• Full SDLC Ownership: Active contributor from initial design through development, release, and ongoing operational support in a cloud-native environment.
• Collaboration & Leadership: Engage effectively with Architecture, Product, and UX to translate complex requirements into high-performance code while mentoring junior and mid-level engineers.
• Independent Execution: Work under minimal supervision; you will be provided with assignments and objectives and given wide latitude for independent judgment.

Qualifications

• 5+ years of full-stack software development experience with strong exposure to JavaScript/TypeScript (Angular, Node.js).
  
• Backend Expertise: Experience with writing cohesive and focused microservices using Java Spring Boot or NestJS.
  
• 3+ years of delivering highly scalable cloud-based applications in AWS or similar cloud environments.
• Data Systems: Enterprise-level experience with Relational and NoSQL databases such as Postgres, MongoDB, Redis, or DynamoDB.
  
• Modern Testing: Fluent in writing unit, integration, and component tests; experience leveraging LLMs to achieve high test coverage and edge-case detection.
• AI Tooling Proficiency: Demonstrated experience using AI-augmented tools for complex code migrations, architectural refactoring, and rapid prototyping.

Do Well. Live Well. At Amwell. 

Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren’t just aspirations – they are how we work, every day.  

Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn – to name a few. It’s our people who truly differentiate us. Ask anyone and they’ll tell you – you’ll never work with more passionate, more driven and more caring team members.    

We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you’ll do the most meaningful work of your career—improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are.  

Working at Amwell:

Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. 

Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.

Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community! 

Benefits

Additional Benefits

• Medical Plan Coverage provided by Colmédica 
• Plan Coverage provided by Pan American 
• Hybrid Allowance 
• Additional Paid Time Off 
• Maternity Leave 18 weeks 
• Parental/Paternity Leave 2 mandatory weeks + 4 weeks 
• Mental Health and Resiliency 
• Virtual Second Opinion with the Cleveland Clinic Coverage 
• LinkedIn Learning 
• Rewards and Recognition 
• Service Anniversaries 
• Annual Bonus 
• Referral Program
• Amwell tuition reimbursement benefit

https://business.amwell.com/privacy-policy/

Brief Overview

We are seeking a Staff Software Engineer with 7+ years of experience to work on our cloud-based health care solution. In this role, you will take the lead in designing, building, and maintaining back-end Java services, guiding the technical direction, and mentoring a team of engineers. You will drive architectural decisions and ensure the scalability, security, and high-quality delivery of solutions. The ideal candidate has a strong technical foundation, leadership experience, and thrives in a fast-paced, collaborative environment where they can influence key technical decisions.

Core Responsibilities 

• Lead the design and development of server-side applications. Architect, build, and maintain secure, scalable backend services and APIs. Drive the technical direction of the team, ensuring high-quality solutions are delivered.
• Mentor junior and mid-level engineers, conduct code reviews, and enforce coding standards. Foster a culture of learning, collaboration, and technical excellence within the team.
• Optimize applications for performance, scalability, and maintainability, ensuring they are robust and efficient under load.
• Work closely with product managers, UX/UI designers, and other stakeholders to define technical requirements, estimate efforts, and influence system architecture decisions. Collaborate to build intuitive, user-friendly interfaces.
• Implement and drive best practices for observability, monitoring, and synthetic testing. Continuously improve systems, processes, and technologies.
• Work with cross-functional teams to ensure timely delivery of high-quality, scalable products and solutions.
• Work under minimal supervision; will be provided with assignments and objectives and given wide latitude for independent judgment.
• Ability to operate effectively in a hybrid or remote environment when needed.

Qualifications

• Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience.
• 7+ years of experience as a Java Developer or in a similar senior software engineering role, with at least 2+ years in a leadership position.
• Extensive experience with AWS services (EC2, S3, API Gateway, Lambda, DynamoDB) or similar cloud platforms.
• Some knowledge in front-end technologies including JavaScript (ES6+), TypeScript, and frameworks like React or Angular.
• Deep understanding of back-end development, with experience in Java and RESTful API design.
• Solid experience in software architecture, system design, and best practices for developing scalable backends for web applications.
• Expertise in version control systems, especially Git and GitLab (or GitHub), in a collaborative development environment.
• Proven ability to mentor and guide junior engineers, promoting technical excellence and growth within the team.
• Excellent problem-solving and communication skills, with the ability to explain complex technical concepts clearly to stakeholders.
• A strong desire to take on leadership responsibilities, drive innovation, and influence strategic technical decisions.
• English Level C1 (comfortable working in an English-speaking environment).

Do Well. Live Well. At Amwell. 

Driven by our mission and values, we foster a workplace where Delivering Awesome, being Customer First and operating as One Team aren’t just aspirations – they are how we work, every day.  

Our people are our greatest asset. We strive to empower their growth and development not only as Amwellians but as individuals, through generous total rewards packages, a virtual-first work environment, work-life flexibility, including Summer Fridays and designated Mental Health Days, as well as opportunities to stretch and learn – to name a few. It’s our people who truly differentiate us. Ask anyone and they’ll tell you – you’ll never work with more passionate, more driven and more caring team members.    

We champion a culture of respect and inclusion, accountability and integrity, innovation and collaboration. At Amwell, you’ll do the most meaningful work of your career—improving healthcare for millions, growing alongside incredible teammates, and being valued for who you are.  

Working at Amwell:

Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. 

Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.

Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community! 

Benefits

Additional Benefits

• Medical Plan Coverage provided by Colmédica 
• Plan Coverage provided by Pan American 
• Hybrid Allowance 
• Additional Paid Time Off 
• Maternity Leave 18 weeks 
• Parental/Paternity Leave 2 mandatory weeks + 4 weeks 
• Mental Health and Resiliency 
• Virtual Second Opinion with the Cleveland Clinic Coverage 
• LinkedIn Learning 
• Rewards and Recognition 
• Service Anniversaries 
• Annual Bonus 
• Referral Program
• Amwell tuition reimbursement benefit

https://business.amwell.com/privacy-policy/

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

Role: Senior Integrated Designer

Location: Remote (Colombia)

Language: Proficiency in English is required as we are a global business

About the role:

As a Sr. Designer, you will partner with our client—a leading global innovation and manufacturing company—to lead the design of a high volume of assets for their U.S. and Canada B2B divisions. You will drive creative projects from brief to completion, ensuring strict adherence to our client's brand direction, style guides, and tone of voice. In this role, you will collaborate closely with project managers and strategic stakeholders while managing a talented team of designers.

You will thrive in this fast-paced environment if you have creative-agency experience and a knack for tackling a wide range of deliverables. Working alongside a copywriter, designers, project managers, and fantastic clients, you will adapt and design brochures, presentations, sales enablement materials, social media campaigns, banner ads, videos, emails, and web/e-commerce content.

What you will be doing: Creative Direction & Execution

• Lead design delivery: Direct digital, print, and video projects across six divisions of the US/Canada B2B business group.
• Drive creative concepts: Develop creative and graphic concepts across multiple touchpoints, campaigns, and channels to meet content objectives.
• Champion the brand: Define and adapt the brand look and feel for various platforms while ensuring consistent representation across all deliverables.
• Evangelize design frameworks: Master and ensure consistency with design guidelines, templates, and toolkits to enable global consistency and elevate execution quality.
• Lead creative reviews: Facilitate design reviews and drive continuous improvement of digital deliverables within your scope of responsibility.

Team Leadership & Management

• Mentor and develop: Manage and coach junior creative team members, providing clear direction, targets, and development opportunities.
• Optimize resources: Continuously monitor team workload and organizational efficiency using data and feedback, making adjustments to meet business needs.
• Manage change: Lead the design team through process changes, ensuring smooth adoption and maintaining high-quality delivery.

Production & Process Management

• Oversee production: Follow projects closely through all stages of production and online deployment.
• Manage quality control: Oversee the preparation of all finished files, ensuring complete compliance with correct output specifications.

What you need to be great in this role:

Experience & Qualifications

• 6-8+ years of experience as a Digital, Interactive, and/or Visual Designer in an advertising, branding, or in-house agency.
• Experience successfully leading and managing designers.
• Consistent track record of interpreting briefs, developing creative brand solutions, and delivering projects within agreed deadlines in a fast-paced environment.
• Bonus: B2B experience is highly preferred.

Technical & Design Skills

• Excellent Adobe Creative Suite skills, coupled with a deep affinity for layout, typography, and idea generation.
• Strong understanding of brand marketing content delivery needs, solutions, and processes.
• Ability to maintain consistency across designs while maintaining a highly creative approach.
• Bonus skills: Working knowledge of After Effects animation, experience with design automation, and an awareness of UX, UI, and Responsive Design trends.

Leadership & Soft Skills

• Exceptional communication and negotiation skills; comfortable presenting complex topics to stakeholders at various organizational levels, both in-person and remotely.
• Strong strategic capacity to establish mid- and long-term plans, drive execution, and analyze results.
• A passionate, self-motivated, and open-minded professional who excels at building influential, collaborative relationships across an organization.

Req ID: 17060

#LI-REMOTE

 #LI-MV1

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As an Agentic AI Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring solid senior-level experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

We are building a new AI capability for our client focused on designing and delivering agentic AI systems that materially improve seller productivity and decision‑making. The first major initiative is a chat‑based seller assistant that integrates enterprise data, surfaces insights, and guides sellers before and during customer interactions—reducing time spent in spreadsheets and increasing the quality of face‑to‑face sales conversations. 

This role is ideal for an engineer excited by early‑stage AI system design, ambiguity, and hands‑on experimentation with large language models. While deep prior experience with agentic systems is rare, we are especially interested in candidates who have built, prototyped, or meaningfully experimented with modern LLM‑driven applications. 

Role responsibilities 

• Design and build agentic AI systems that facilitate conversational workflows for seller enablement 

• Develop a chat‑based seller assistant that:  

• Answers seller questions using enterprise data 

• Provides insights on ordering, pricing, and customer behavior 

• Generates pre‑visit one‑pagers to guide sales conversations 

• Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs 

• Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness 

• Build and evolve the platform using LangChain and LangGraph (initially in Python) 

• Design persistence and data access layers using Mongo or other data stores 

• Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases 

• Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team 

• Help define standards and best practices as this AI capability scales 

Must have qualifications 

To be considered for this role, you must meet the following essential qualifications:  

• Experience as a full‑stack or backend engineer building production systems 

• Strong foundation in software engineering fundamentals (APIs, data modeling, system design) 

• Familiarity with databases, data stores, and data modeling concepts (experience with MongoDB is a plus, but not required) 

• Hands‑on experience working with LLMs (via OpenAI, Anthropic, or similar), including prompt design and evaluation 

• Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms) 

• Comfort working in early‑stage, ambiguous problem spaces where patterns are still emerging 

• Ability to communicate clearly with technical and non‑technical stakeholders 

• Willingness to work on a Mac‑based development environment 

• Experience using AI‑assisted development tools (Cursor, Copilot, etc.) as part of daily workflow 

• Advanced English skills 

Nice to have qualifications   

• Experience building or experimenting with agentic AI systems or multi‑step LLM workflows 

• Familiarity with LangChain, LangGraph, or similar orchestration frameworks 

• Python experience (Node.js / TypeScript also valued) 

• Experience with MongoDB or similar NoSQL data stores 

• Experience with enterprise platforms such as Salesforce, Snowflake, or similar 

• Exposure to Google AI / Google Cloud services 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

The benefits  

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As an Agentic AI Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring solid senior-level experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

We are building a new AI capability for our client focused on designing and delivering agentic AI systems that materially improve seller productivity and decision‑making. The first major initiative is a chat‑based seller assistant that integrates enterprise data, surfaces insights, and guides sellers before and during customer interactions—reducing time spent in spreadsheets and increasing the quality of face‑to‑face sales conversations. 

This role is ideal for an engineer excited by early‑stage AI system design, ambiguity, and hands‑on experimentation with large language models. While deep prior experience with agentic systems is rare, we are especially interested in candidates who have built, prototyped, or meaningfully experimented with modern LLM‑driven applications. 

Role responsibilities 

• Design and build agentic AI systems that facilitate conversational workflows for seller enablement 

• Develop a chat‑based seller assistant that:  

• Answers seller questions using enterprise data 

• Provides insights on ordering, pricing, and customer behavior 

• Generates pre‑visit one‑pagers to guide sales conversations 

• Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs 

• Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness 

• Build and evolve the platform using LangChain and LangGraph (initially in Python) 

• Design persistence and data access layers using Mongo or other data stores 

• Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases 

• Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team 

• Help define standards and best practices as this AI capability scales 

Must have qualifications 

To be considered for this role, you must meet the following essential qualifications:  

• Experience as a full‑stack or backend engineer building production systems 

• Strong foundation in software engineering fundamentals (APIs, data modeling, system design) 

• Familiarity with databases, data stores, and data modeling concepts (experience with MongoDB is a plus, but not required) 

• Hands‑on experience working with LLMs (via OpenAI, Anthropic, or similar), including prompt design and evaluation 

• Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms) 

• Comfort working in early‑stage, ambiguous problem spaces where patterns are still emerging 

• Ability to communicate clearly with technical and non‑technical stakeholders 

• Willingness to work on a Mac‑based development environment 

• Experience using AI‑assisted development tools (Cursor, Copilot, etc.) as part of daily workflow 

• Advanced English skills 

Nice to have qualifications   

• Experience building or experimenting with agentic AI systems or multi‑step LLM workflows 

• Familiarity with LangChain, LangGraph, or similar orchestration frameworks 

• Python experience (Node.js / TypeScript also valued) 

• Experience with MongoDB or similar NoSQL data stores 

• Experience with enterprise platforms such as Salesforce, Snowflake, or similar 

• Exposure to Google AI / Google Cloud services 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

The benefits  

This is a Full time position based in Colombia. The offered salary range is $20,000,000 COP - $26,000,000 COP monthly, depending on experience and location. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts
• Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

About Nubank

Nu is the world's largest digital banking platform outside of Asia, serving over 127 million customers across Brazil, Mexico, and Colombia. Guided by its mission to fight complexity and empower people, Nu caters to customers' complete financial journey — promoting financial access with responsible lending and transparency. Recognised by Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Banks, Nu is now entering its next growth cycle: accelerating internationalisation outside Latin America and expanding into new verticals beyond financial services.

About the Team

The People Analytics Technology Operations (PATO) team is redefining what People & Culture infrastructure looks like for a company operating at global scale with an AI-first mandate. We don't run HR software — we build the systems that make HR itself obsolete in its traditional form. Our work touches every Nubanker, every country, every moment of the employee lifecycle. We are the internal frontier lab for agentic people systems.

About the Role

Here is the core question this role exists to answer: if you were designing People & Culture infrastructure from scratch today — knowing that AI agents will run most operations, humans will audit rather than execute, and the channels and surfaces workers interact with don't fully exist yet — what would you build?

This isn't a rhetorical question. It's the actual brief.

The SaaS era of HR technology is being disrupted faster than most incumbents can adapt. Workday, SAP, ServiceNow — products built for a world of human workflows and form-based interfaces — are structurally ill-equipped for an agent-native operating model. The real competitive moat in this next era won't be features. It will be the depth of integration within a specific domain, and the quality of the data and reasoning layer that sits beneath it. We have the rare opportunity to build that solution — purpose-built for the People & Culture domain — inside one of the most technically ambitious companies in the world.

As Global People Data & Tech Director, you will lead the effort to design and build this from the ground up. You will define what the agentic HR stack looks like: the data models that make agents actually useful, the orchestration layer that lets them act with minimal human friction, the audit surfaces that let people stay in control without becoming bottlenecks, and the foundational platform that scales to 40+ markets without scaling the team that builds it. Agentic development practices aren't a side methodology here — they are how this organisation will operate. You build with agents, you build for agents, and your team stays lean precisely because of it.

This role isn't for someone who has deep experience with HR software. It's for someone who looks at HR software and sees an industry ripe to be rebuilt. You are a product and infrastructure thinker who happens to care deeply about the employee experience — and who has the technical depth and organisational leadership to translate that vision into production systems used by hundreds of thousands of people.

Key Responsibilities

Define the Agent-Native HR Stack

• Design the architecture for a People & Culture platform where agents are first-class citizens: capable of executing hiring, onboarding, payroll, compliance, and performance workflows with minimal human intervention.
• Define the human-in-the-loop model — which decisions require human review, through what interfaces, with what level of latency — so that oversight is meaningful rather than ceremonial.
• Identify and kill the workflows that should no longer exist at all.

Build the Data Foundation

• Architect the People data layer that will serve as the substrate for agent reasoning, predictive analytics, and LLM-powered insight generation for the next decade.
• Ensure the data model is jurisdiction-aware from day one — built to accommodate the legal, cultural, and operational variance of 40+ markets without requiring structural rework per country.
• Drive the transition from fragmented HR data silos to a unified, real-time, auditable data layer that agents and analysts can trust equally.

Build With and For Agents

• Apply agentic development practices to your own team's engineering process — using agents to write, test, review, and deploy code so that headcount does not scale linearly with product scope.
• Lead the development of real-time AI-powered employee experiences: intelligent copilots, proactive guidance systems, and autonomous support channels that resolve needs before they become tickets.
• Advance Nubank's application of large language models to unstructured People data — feedback, communications, performance narratives — turning qualitative signal into structured organisational insight.

Own the Platform Vision

• Define the comprehensive HR platform roadmap — what we build, what we integrate, and what we deliberately do not own — with a bias toward deep integration over broad coverage.
• Ensure the platform is designed for global scale from the start: multi-currency, multi-jurisdiction, multi-language, and operable across legal entities without per-country engineering investment.
• Bridge strategic vision with hands-on execution, staying close enough to the codebase and architecture to make credible decisions and earn the trust of your engineering team.

Lead the Organisation

• Build and lead a high-performing, deliberately lean team that punches well above its headcount because it builds and operates with agents.
• Develop senior technical leaders who can own domains end-to-end, reducing coordination overhead and enabling faster iteration.
• Foster a culture of intellectual honesty — one that questions inherited assumptions about how HR technology should work, and is willing to discard anything that doesn't hold up.

Qualifications & Skills

What We're Looking For

We are not looking for someone who has spent their career in HR technology. We are looking for someone who has built consequential software systems, who thinks seriously about agents and automation, and who is intellectually excited by the opportunity to apply that background to a domain that is fundamentally underbuilt.

Required

• 10+ years in software engineering and technology leadership, with demonstrated experience owning large-scale production systems from architecture through operation.
• Deep fluency in data architecture and data modelling — the ability to design canonical data structures that remain coherent as business complexity grows across jurisdictions and entity types.
• Hands-on experience building with or designing for agentic systems: familiarity with LLM-based reasoning, tool use, multi-agent orchestration, and the failure modes that come with autonomous execution.
• Experience leading platform or infrastructure products — systems used by other teams and applications, not just end users — with the taste and discipline that entails.
• Proven ability to scale impact without scaling headcount: through leverage, tooling, great architecture, and a culture that defaults to automation before process.
• Strong engineering management skills, including the ability to hire, develop, and retain senior technical talent and engineering leaders.

Valued

• Experience building products that operate across multiple legal jurisdictions — especially products where regulatory variance is a first-class design constraint, not an afterthought.
• Background in developer platforms, internal tooling, or B2B SaaS — contexts where you have thought carefully about API design, data contracts, and integration depth.
• Familiarity with the People & Culture domain — not as a practitioner, but as a product builder who has spent time understanding what HR teams actually do, where the friction lives, and what automation can and cannot replace.
• Experience operating within a high-growth technology company where ambiguity is the norm and the product surface changes faster than any roadmap.

Core Leadership Skills

• Business Acumen: Drives strategic alignment by reading market dynamics, spotting where incumbents are structurally vulnerable, and translating that into build-vs-integrate decisions with long-term leverage.
• Communication: Moves between technical depth and executive narrative fluently — able to defend architectural choices with an engineer and explain the same decision to a board.
• Agile Adaptability: Leads in conditions of genuine uncertainty, treating early product iterations as learning instruments and calibrating direction based on evidence rather than original conviction.

Role Details

Location:  São Paulo, Mexico City, Bogotá, or US (Palo Alto, Miami, or Virginia) | Location-Specific Disclosures

Reports To: Suzana Kubric, CHRO at Nubank

Role: Senior Integrated Designer

Location: Remote (Colombia)

Language: Proficiency in English is required as we are a global business

About the role:

BRANDTECH+ is seeking a Senior Integrated Designer to join a high-profile account for a Fortune 500 financial services firm. This relatively new global account has already seen growth and is continuing to expand. 

As a Senior  Digital Designer you will have both strong digital and conceptual visual skills. You will have experience working with other designers and be comfortable taking projects from creative brief to completion providing new ideas and creativity while working closely with the stakeholder’s brand guidelines.  

Reporting to the Digital Design Director and working closely with our stakeholders/clients, you will work as part of a team designing and producing a variety of materials for the digital and print realm . You should understand designing principals, research, and be able to closely follow brand guidelines, creating strong digital designs for both internal and external facing experiences, product, and content.   

What you will be doing:   

• Producing beautiful and innovative designs for digital experiences such as .com, intranet sites, emails and newsletters 
• Collaborate with team to execute design system work
• Craft designs within existing visual systems and/or standards that leverage platform capabilities  
• Work with visual designers, content strategists and developers as well as project managers in Jira to ensure projects are executed on time and on budget  
• Support Digital Design Director with workflow process
• Overseeing and managing the preparation of all finished files that will comply with the correct output specification
• Pitching creative solutions in response to brand strategies to both internal and external stakeholders
• Working with user interface patterns, visual hierarchy, typography, color theory, and responsive design principles 

What you need to be great in this role: 

• 5-7 years of digital work experience that demonstrates impeccable craft and command of creative concepts, visual concepts and design across a variety of projects 
• Understanding of design principles and Responsive Design trends as well as social best practices  
• Deep knowledge & production experience with integrated and digital campaigns
• Proficiency in industry-standard design and prototyping tools such as Figma, Photoshop, Illustrator, etc… After Effects and Lottie Create experience a bonus.
• Understanding of motion and animation for web including best practices and trends
• Attention to detail and a strong eye for composition, layout, and design systems
• Strong communication and presentation skills—able to defend design decisions and incorporate feedback effectively
• Flexibility and problem-solving skills to adapt designs based on technical constraints, user needs, and business priorities
• User-first mindset and eagerness to push visual design forward within brand guidelines
• Comfort navigating complex, fast-paced environments with stakeholders or clients and evolving project scopes
• High level Corporate designs, print and digital projects

Req ID: 17206

#LI-REMOTE

 #LI-MV1

#BTG+

Location: This position is remote within Colombia

About the Role

Huge has built a clear point of view on how great managers operate and has a robust structure to enable great leadership. We are looking to build our local-OD presence in Colombia to help managers fully internalize and apply our global philosophies in the specific cultural context they're working in.

That's this role.

You'll partner closely with the SVP, OD&E and other peers in OD&E and Talent to extend Huge's existing frameworks into Colombia-specific programming. This role is focused on doing the hard, contextual work of making our models land in a market where feedback, role seniority, and development conversations carry different weight. You'll design the programming, deliver it in person, coach managers through real moments, and over time, measure its effectiveness. Beyond this, you’ll bring expertise in talent analytics to the global Talent team to advance our talent analytics capabilities.

Ideally, this role is based in Bogotá as it requires meaningful in-person presence with the teams and managers there, as well as virtually for our employee population in Medellín and throughout Colombia.

What You'll Do

Program Extension & Localization

• Partner with the SVP, OD&E and L&D Lead to extend Huge's coaching model, Edge Leadership framework, H-shaped talent philosophy, and manager feedback expectations into Colombia-specific learning experiences
• Develop culturally informed tools, playbooks, and facilitation guides that help managers apply our existing frameworks in the ways that fully resonate there -- including how H-shaped development shows up in feedback and growth conversations
• Build an evergreen program architecture that reinforces feedback and coaching behaviors over time
• Ensure all programming connects clearly to Huge's global performance and talent strategy
• Leverage AI tools to accelerate program development, iterate on learning assets, and bring evidence-based insights to the work faster (while keeping the human judgment and cultural sensitivity that no AI tool replaces)

Training & Capability Building

• Design and deliver workshops, cohort experiences, and embedded learning moments focused on feedback, coaching, and performance conversations
• Work in Spanish where it makes the difference and to help ideas land
• Create scalable assets that extend your reach beyond what you can do in person
• Iterate continuously based on what's changing behavior, not just completing a training calendar

Talent Analytics & Insights

• Support data collection and analysis efforts tied to program effectiveness: building dashboards, synthesizing engagement and performance signals, and translating findings into actionable recommendations
• Partner with the broader OD&E team on people analytics work, bringing an I/O psychology lens to how we interpret talent data and design interventions
• Help the team understand the Colombia talent picture: what the data says about engagement, performance, and capability gaps

Partnership & Collaboration

• Work in close partnership with the SVP, OD&E, L&D Lead and Talent, more broadly, on all program design decisions (this is a collaborative build, not a solo one)
• Partner with Talent Partners to identify where gaps are sharpest and where targeted intervention will have the most impact
• Connect regularly with the broader OD&E and Talent teams to ensure Colombia learnings feed back into global strategy

What You Bring

• Experience extending or localizing existing talent frameworks. You know how to take a strong model and make it work in a new context without breaking what makes it good (and also know how to make it better)
• You're H-shaped yourself: you bring genuine depth in at least one OD&E discipline (L&D, coaching, org effectiveness) alongside real capability in an adjacent space (talent analytics, I/O research, or people strategy), and you can see where the field is heading
• Deep familiarity with how Colombian workplace culture shapes feedback, hierarchical relationships, and manager-employee dynamics 
• Native or near-native Spanish fluency
• Background in I/O psychology or equivalent applied experience in talent analytics, organizational research, or evidence-based program design 
• Demonstrated ability to coach managers and leaders through real performance moments, not just facilitate learning programs
• Comfort operating with meaningful autonomy while staying tightly aligned with senior partners. You don't need hand-holding, but you're not going rogue either
• Genuinely curiosity about and experimentation with how AI is changing the practice of talent development

You also have a familiarity with the tools of a modern talent practice -- Lattice for performance and engagement data, learning design platforms like Articulate Rise for scalable asset builds, and comfort working in data and visualization tools to surface insights from what you're seeing on the ground (a plus if you have experience with SPSS or R). 

What Success Looks Like

• Managers in Colombia demonstrate increased confidence and consistency in giving feedback, and you can show it with data
• Huge's coaching model, Edge Leadership framework, and H-shaped talent philosophy feel relevant and applicable to Colombia-based managers, not imported from elsewhere
• Feedback becomes a regular part of how teams operate, versus just something that happens during review cycles
• The program is documented and transferable. Colombia becomes a proof of concept for how we approach feedback capability in other markets with similar cultural contexts
• You've built trusted relationships with business leaders in Colombia and are seen as a genuine partner, not just a program administrator
• You're actively contributing to Huge's broader AI enablement work, bringing lessons from the Colombia program into how the OD&E team thinks about AI-assisted learning and talent analytics at scale

If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/. 

About Huge

Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand.

Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.

#LI-POST #LI-Remote

Location: Our Solutions Engineer, PerfectScale by DoiT, will be an integral part of our Solutions Engineering team supporting customers primarily in the United States. This role is remote and open to candidates based in Mexico, Colombia (full-time employment), and Costa Rica or Brazil (contractor), working primarily within U.S. Eastern Time Zone (EST) hours

Who We Are
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.

With extensive experience across various cloud environments, we possess deep specializations in critical areas such as Kubernetes, GenAI, and CloudOps. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.

Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients, and PerfectScale for Kubernetes, a pioneering Kubernetes optimization and management solution. By integrating advanced algorithms and ML with built-in Kubernetes expertise, PerfectScale enables organizations to achieve unparalleled Kubernetes efficiency.

The PerfectScale for Kubernetes platform offers:

• A seamless and intuitive onboarding experience.
• A user-friendly interface for easy navigation and management.
• Unique easy to act on insights for achieving an optimal balanced state of Kubernetes performance and cost
• A powerful autonomous optimization engine that intelligently manages Kubernetes resource allocation with minimal human intervention.

The Opportunity
As a Solutions Engineer, PerfectScale by DoiT, you will be a pivotal technical leader, collaborating closely with our Account Executive team to deliver exceptional value throughout the customer journey, specifically focusing on our cutting-edge Kubernetes optimization capabilities.

Responsibilities:

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect's technical environment, Kubernetes challenges, cost optimization goals, and key business objectives through in-depth technical discovery sessions.
• Technical Validation & POC Leadership: Owning and driving the technical validation and Proof of Concepts (POCs) specifically for PerfectScale. This includes meticulous POC preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Developing and delivering compelling and tailored PerfectScale platform demonstrations to prospects, effectively showcasing its capabilities and addressing their specific use cases and concerns.
• Business Case & ROI Development: Leveraging your analytical skills and deep understanding of Kubernetes to develop compelling business cases and robust ROI analyses that clearly articulate the tangible value, cost savings, and performance improvements achievable with PerfectScale.
• PerfectScale Expertise: Becoming the go-to expert within the company for PerfectScale, ensuring prospects achieve optimal results and a seamless implementation experience.
• Technical Win Ownership: Taking full ownership of the technical win for PerfectScale engagements, guiding prospects through the technical evaluation process, addressing all technical requirements, and building technical confidence in the solution.
• Event & Conference Presentations: Representing DoiT and PerfectScale at company events and industry conferences, delivering engaging presentations and demonstrations to a wider audience, showcasing our Kubernetes optimization expertise and platform capabilities.
• Accurate, timely documentation: Ensure timely entry of data into internal business support solutions.  Contribute to systems and tools to provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about Kubernetes optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to Kubernetes cost and performance. This role offers the exciting opportunity to be at the forefront of innovation within the rapidly evolving Kubernetes ecosystem.

About You
You are an accomplished Solutions Engineer with a proven track record in a B2B SaaS environment, ideally with a strong emphasis on DevOps and Kubernetes solutions. You excel as a technical leader within a sales team and are enthusiastic about empowering companies to optimize their Kubernetes environments for maximum cost efficiency and performance through innovative solutions like PerfectScale. You are highly accountable for the technical success of all initiatives you are involved in and are driven to contribute to a high-performing sales organization that consistently wins in a competitive market. You are comfortable and thrive in a fast-paced, growing, collaborative, and entrepreneurial setting.

Qualifications

• 5+ years of experience in a Solutions Engineering role within a B2B SaaS software company, having a significant portion of that experience focused on selling to DevOps, Platform Engineering, SRE, or FinOps teams and directly addressing challenges related to Kubernetes or cloud cost management.
• Deep and demonstrable understanding of Kubernetes in various flavors (EKS, AKS, GKE, OpenShift) and associated DevOps best practices.
• Hands-on experience working with SaaS solutions focusing on cloud environments (observability, optimization, FinOps, Platform Engineering).
• Exceptional data analysis skills with a proven ability to analyze data from various monitoring solutions (e.g., Prometheus, Grafana, Datadog). This includes identifying key trends, outliers, correlations, and reconciliation needs to extract actionable insights.
• Strong track record of leveraging product data to construct compelling business cases and ROI justifications for prospective customers, clearly demonstrating the substantial cost savings and performance enhancements achievable through our solution.
• Exceptional ability to articulate complex Kubernetes concepts and PerfectScale functionalities in a clear, concise, and easily understandable manner to both technical and business audiences.
• Outstanding verbal, written, presentation, and interpersonal communication skills, with the confidence and expertise to present on sophisticated topics such as Kubernetes optimization strategies and the compelling value proposition of PerfectScale.
• Strong intellectual curiosity, exceptional problem-solving abilities, and a genuine passion for continuous learning and improvement within the dynamic field of Kubernetes optimization.
• Proven experience working with and presenting to executive-level prospects and customers on critical topics related to cloud cost management and Kubernetes strategy.
• Demonstrated experience with modern technical selling best practices and a successful track record in competitive sales environments, including the ability to contribute to and implement effective trial, demo, and RFP processes specifically tailored for Kubernetes optimization solutions like PerfectScale.
• Prior professional experience as a Kubernetes DevOps Engineer, Platform Engineer, SRE, or FinOps professional is a plus.
• A proven history of success in a fast-paced and scaling business, ideally within the cloud and/or Kubernetes management domain.

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we’re here and happy we hit that ‘apply’ button. 

Full-time employee benefits include: 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success. 

#LI-Remote

Role Summary

To achieve our mission to enable remote employment globally, we need to build a world-class product experience backed by our core Payments platform that is seamless, convenient, and reliable for our customers. We face new and exciting challenges every day and need your help to solve them. We are seeking a Legal Counsel – Employment to provide comprehensive legal guidance and support on various matters related to employee management.

The Legal Counsel - Employment (LATAM) will be reporting to the Director Global Employment and Workforce and would be a critical role in leading the labour & employment laws charter for Payoneer and WFM entities in the LATAM regions.

Prior Argentina employment law experience is mandatory. Exposure to other LATAM jurisdictions is a strong advantage.

Location – Buenos Aires, Sao Paulo or Mexico

What you’ll do

· Provide high-quality, practical employment law advice across the full employee lifecycle in Argentina, with the ability to support broader LATAM matters where relevant.

· Acting as the regional lead and subject matter expert for the region.

· Lead and support employee relations matters, including terminations, separations, disciplinary processes, and performance-related actions, ensuring risk-aligned outcomes.

· Advise on labour contracting and subcontracting compliance, ensuring ongoing adherence to regional regulatory requirements.

· Draft, review, and refine employment documentation, including employment agreements, separation and mutual termination letters, transfer/relocation documents, full and final settlement letters, and statutory HR policies.

· Contribute to the development and implementation of employment, HR, compensation, and workforce-structuring policies that align with local laws and business needs.

· Stay ahead of legal and regulatory changes across national and local employment laws, and translate updates into actionable guidance for internal stakeholders and clients.

· Collaborate closely with HR Ops, Payroll, Sales, GTM, Finance, and other internal teams to deliver coordinated, commercially aligned legal solutions.

· Support compensation and benefits reviews, ensuring alignment with statutory standards and market practices.

· Conduct legal research and prepare clear, business-friendly analysis on employment and labor law issues.

· Deliver training and guidance to internal teams and clients on employment law compliance, risk mitigation, and best practices.

· Support individual and large-scale workforce transitions, reorganisations, and restructuring, ensuring compliance with all legal requirements and documentation standards

Who you are 

· You hold a Bachelor’s degree in Law; a Master’s or LLM is an added advantage.

· You bring 5–6 years of hands-on experience in Argentinian employment and labor law. Experience supporting other LATAM jurisdictions is a strong plus.

· You have deep knowledge of Argentinian labor laws, regulations, case trends, and practical market practices.

· You understand the legal nuances of hiring, employee lifecycle management, workforce transitions, and separations.

· You have strong drafting skills and are experienced in preparing and reviewing employment agreements, HR policies, separation documentation, and related employment artefacts.

· You possess excellent analytical, research, and problem-solving abilities, with the ability to translate legal requirements into practical, business-aligned guidance.

· You communicate legal concepts clearly and confidently, partnering effectively with HR, business teams, and leadership.

· You can work independently, manage multiple matters simultaneously, and operate with sound judgment in fast-moving environments.

· Able to manage high volume case load.

· You have strong attention to detail, reliability, and a commitment to accuracy and compliance.

· You are proactive, adaptable, and comfortable navigating evolving laws, regulations, and business needs.

· Able to think outside of the box and interpret the law.

#LI-AG3

Location: This position is remote within Colombia

About Technology at Huge

At Huge, technology is more than a delivery mechanism; it’s a canvas for experimentation. We don’t just build products; we architect and scale the future of how people connect with digital environments. Our technologists are makers and visionaries who bridge the gap between "what if" and "here it is," ensuring that every line of code pushes the boundaries of craft and utility.

The Role

Huge is looking for a Senior React Native UI Engineer to lead the development of high-performance, cross-platform mobile experiences. This isn't just a coding role; you are a technical pillar for our teams and a translator for our clients. You will own the engineering lifecycle for complex iOS and Android applications, ensuring that our mobile solutions are not only visually stunning but architecturally sound, scalable, and seamlessly integrated into the broader service ecosystem. 

What You’ll Be Doing

Technical Execution & Craft

• Native Excellence: Drive the engineering of robust mobile applications for both iOS and Android, ensuring high-fidelity performance and native-level fluidity.
• Service Layer Integration: Lead the integration of the mobile front-end with BFF (Backend-for-Frontend) and API service layers, optimizing data flow and app responsiveness.
• Engineering Standards: Establish and drive coding standards, lead rigorous code reviews, and implement common design patterns across multiple workstreams.
• Rapid Prototyping: Transition seamlessly from Proof of Concept (POC) to production-ready code, using experimental insights to build stable, scalable systems.

Leadership & Problem Solving

• Technical Roadmapping: Quickly identify architectural roadblocks and gaps in capability, providing alternate technical approaches to keep the project on track.
• Collaboration: Partner with Strategy, Creative, and Client leads to translate complex business requirements into elegant, executable technical features.
• Mentorship: Act as a lead mentor for the engineering team, fostering a culture of continuous learning and adherence to mobile best practices.
• Innovation: Stay at the forefront of the React Native ecosystem, advocating for the adoption of modern tools and frameworks that enhance productivity and app quality.

What we’d like to see

• 6+ years of professional engineering: A deep background in mobile development with a mastery of React Native, JavaScript, and TypeScript.
• Cross-Platform Expertise: Extensive experience deploying and supporting native applications on both the iOS App Store and Google Play Store.
• Modern Tooling: Strong experience with bare React Native workflows including Metro bundler and Babel configuration, alongside state management with Redux Toolkit and RTK Query.
• Advanced Integration: Proven experience with BFF architectures and integrating complex API layers; bonus points for experience with Airship (push notifications) and Commerce/Payment integrations (Stripe, Apple Pay, Google Pay).
• Styling & UI: Experience building themed, high-fidelity UIs using modern systems like Nativewind or Tamagui.
• DevOps & CI/CD: Proficiency with mobile CI/CD pipelines using Fastlane, GitHub Actions, TestFlight, and Firebase App Distribution.
• Testing & Profiling: Skilled in mobile testing frameworks (Jest, Detox) and performance profiling to ensure a jank-free user experience.
• Design Sensitivity: A strong appreciation for UX and UI design, with the ability to advocate for the technical requirements that make a design feel "world-class."
• Communication: The ability to explain complex technical trade-offs to non-technical stakeholders with clarity and empathy.

If the selected candidate holds a degree in Engineering or a related profession, they must present their professional license. To verify your degree requires this license, please visit www.copnia.gov.co and https://www.consejoprofesional.org.co/. 

About Huge

Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand.

Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com.

Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially.

Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker.

#LI-POST #LI-Remote

NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.

We are looking for Data Analytics Engineer - Expert

Required Qualifications

• 7+ years of experience in Data Analytics, Data Engineering, or related roles, with strong exposure to operational analytics.
• Deep, hands-on expertise in BigQuery (required) and Google Cloud Platform (GCP).
• Advanced proficiency in SQL, including complex query design and performance optimization.
• Strong experience with Python (or equivalent scripting) for automation and data processing.
• Proven experience building dashboards with Tableau and/or Grafana.
• Hands-on experience analyzing ServiceNow or ITSM datasets, with understanding of underlying data structures.
• Experience leveraging AI tools (Claude, Gemini, or similar) for analytics and productivity.
• Proficiency with Git, VS Code, and modern development workflows.
• Strong communication skills with the ability to engage senior leadership.
• English – Advanced (required).
• Demonstrated ability to work independently, prioritize effectively, and deliver under pressure.

Preferred Qualifications

• Experience in IT operations, NOC environments, or incident management analytics.
• Background in data engineering and pipeline architecture within cloud environments.
• Familiarity with MCP (Model Context Protocol) or similar frameworks.
• Exposure to AI-driven analytics, automation, or natural language reporting tools.
• Experience contributing to architecture decisions or platform-level improvements.
• Strong problem-solving mindset with a focus on speed, accuracy, and business impact.

We offer:

• Professional growth
• Dynamic work environment
• Competitive salary
• Attractive benefits plan
• Benefits of law and superiors
• Development opportunities

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Brenda Catzin

#LI-BC2

Kaseya is looking for an experienced, trilingual Solutions Engineer to join our rapidly growing Medellín hub. In this role, you will be a technical leader supporting the Sales team across both the LATAM and North American (NAM) markets. You will focus on delivering compelling technical demonstrations and guiding prospective customers through the value of the Kaseya "IT Complete" technology stack.

As a key member of the pre-sales organization, you will partner closely with Account Executives to understand complex customer challenges and position Kaseya’s solutions through technical discovery, solution design, and deep-dive demonstrations. While this role supports the broader platform, experience with PSA (Professional Services Automation) or RMM (Remote Monitoring and Management) solutions is highly beneficial.

Most customer engagement occurs through virtual platforms like Zoom and Microsoft Teams, though there are opportunities for travel within the LATAM and NAM regions for industry events and key customer meetings.

Key Responsibilities

• Demonstrate Value: Design, prepare, and deliver high-impact technical demonstrations showcasing the Kaseya technology platform.
• Strategic Partnership: Partner with Sales Executives to identify specific customer pain points and engineer tailored technical solutions.
• Full Pre-Sales Lifecycle: Support the process from initial discovery and product demos to proof-of-concept (POC) coordination and technical validation.
• Technical Advocacy: Confidently address technical objections and solution architecture questions throughout the sales process.
• Validation: Work directly with customers to evaluate solutions and ensure successful technical validation during POC phases.
• Documentation: Support the creation of technical responses for RFI/RFP submissions, proposals, and solution documentation.
• Product Expertise: Maintain expert-level knowledge across the Kaseya portfolio, including automation, security, backup, and endpoint management.
• Internal Feedback: Act as the "voice of the customer" by providing field feedback to product and engineering teams to influence future strategy.

Ideal Candidate

• Trilingual Expertise: Fluency in English, Spanish, and Portuguese is required to effectively support our diverse customer base across NAM and LATAM.
• Proven Experience: Demonstrated background in a Sales Engineer, Solutions Engineer, or Technical Pre-Sales role.
• Communication Master: Proven ability to demonstrate technical products and clearly articulate value to both technical (IT Admins) and business (CTO/CEO) stakeholders.
• Domain Knowledge: Familiarity with the MSP (Managed Service Provider) ecosystem, including tools such as PSA, RMM, security, and backup platforms.
• OS Proficiency: Strong experience working in Windows environments, with a functional understanding of macOS and Linux.
• Mindset: Curious, proactive, and passionate about learning new technologies and solving complex customer challenges.
• Location: Must be able to work fully in-office at our Medellín location.

Acumen Latin America is seeking a Senior Associate to join our Bogotá-based Portfolio team. We are looking for a thoughtful, entrepreneurial, and mission-driven professional with 4–6 years of relevant experience and a strong commitment to tackling poverty and inequality in Latin America.

This role is ideal for someone who combines strong investment judgment with empathy, curiosity, and the ability to work closely with entrepreneurs and rural communities. The right candidate is analytical, proactive, open to different points of view, and energized by finding creative solutions in complex and evolving environments.

About Acumen

Acumen is a global force of entrepreneurs, investors, philanthropists, and social innovators working together to build a world based on dignity. We were founded by Jacqueline Novogratz on the radical idea that business, when cultivated with moral imagination, can break the cycle of poverty. We invest in transformational companies, build sustainable markets, and prepare leaders with the tools they need to create a more just and inclusive future. Since 2001, we have scaled companies and shaped markets in some of the hardest-to-reach communities on the planet, impacting over half-a-billion lives. To learn more visit acumen.org.

About Acumen Latin America

Acumen began investing in Latin America in 2013, with a focus on Colombia and Peru. Our strategy is centered on backing businesses that serve communities that have faced historical political, economic, and social exclusion, particularly in rural areas. Our Bogotá-based team invests in and supports companies across sectors such as agriculture, education, energy, and other high-impact areas aligned with Acumen’s investment thesis.

About the Role

The Senior Associate will play a key role across the full investment lifecycle: sourcing and evaluating new opportunities, conducting due diligence, structuring transactions, supporting investment committee processes, coordinating disbursements, and actively managing portfolio companies post-investment support.

This person will help assess opportunities from the ground up, including businesses that are not yet in the pipeline, and will work from initial screening through investment decision and closing. The role also requires close partnership with portfolio companies, ranging from support on operational matters to participation in board meetings and strategic discussions.

Responsibilities

Early-Stage Investing

• Identify, assess, and help build a high-quality pipeline of investment opportunities aligned with Acumen’s investment thesis, including evaluating opportunities from zero through investment decision and disbursement. 
• Conduct rigorous commercial, operational, financial, and impact due diligence on potential investments. 
• Build financial models, valuation analysis, and contribute to transaction structuring. 
• Prepare clear, compelling investment materials and recommendations for Acumen Latin America’s Investment Committee. 
• Work directly with entrepreneurs, rural enterprises, and community-based businesses to understand business models, risks, opportunities, and impact potential. 

Portfolio Management

• Serve as a thought partner to portfolio companies, providing support that may range from hands-on operational problem-solving to strategic guidance. 
• Build trusted relationships with entrepreneurs and management teams, bringing empathy, sound judgment, and a practical approach to problem solving. 
• Help identify key company needs and design support strategies in coordination with senior team members and external partners. 
• Track financial and impact performance and help companies strengthen their ability to scale sustainably. 

Portfolio Operations & Team Contribution

• Support internal portfolio analysis, investment financial and impact performance tracking, and documentation of key insights and lessons learned. 
• Contribute to the development of materials for strategic partnerships, fundraising, and external communications as needed. 
• Help strengthen Acumen’s network across the impact investing and social enterprise ecosystem. 
• Contribute to a collaborative team culture by listening to diverse perspectives, challenging assumptions thoughtfully, and helping the team arrive at strong, creative solutions. 

Qualifications

• 4–6 years of relevant experience in venture capital, private equity, investment banking, consulting, impact investing, or related fields. 
• Strong financial, analytical, and business judgment, including experience evaluating early-stage or growth-stage businesses. 
• Experience conducting due diligence, financial modelling and supporting transaction execution. 
• Ability to operate with independence, attention to detail, and strong execution in fast-paced and sometimes ambiguous environments. 
• Strong interpersonal skills and an authentic ability to build trust with entrepreneurs, colleagues, and external stakeholders. 
• Demonstrated interest in working with underserved communities, particularly in rural contexts. 
• Bachelor’s degree required; Master’s degree or MBA is a plus. 
• Excellent written and verbal communication skills in English and Spanish. 
• Authorization to work in Colombia on a permanent basis. 

What We’re Looking For

• Deep alignment with Acumen’s mission and values. 
• A genuine desire to listen and understand different perspectives. 
• Empathy, humility, and strong relationship-building skills. 
• Creativity and the ability to think outside the box when facing challenges. 
• Sound judgment, initiative, and a bias toward action. 
• Curiosity, maturity, and a commitment to learning.

Compensation
Acumen Latin America offers a competitive compensation package commensurate with experience, including benefits.

Location
Bogotá, Colombia 

Deadline
Candidates are encouraged to apply early, as applications will be reviewed on a rolling basis. 

#LI-ACU1

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Linqia is the leader in the influencer marketing industry. We’re a growing tech start-up, having experienced 100% year-over-year growth and break-even. At Linqia, we partner with the world’s largest brands including Danone, AB InBev, Kimberly-Clark, Unilever, and Walmart to build compelling and effective influencer marketing campaigns. Our AI-driven platform and team of experts are leading the transformation of influencer marketing.

We value intelligence, recognize talent and have instilled a culture that supports career development and growth for our employees. We thrive on innovation and accountability, with a customer first attitude that adds true value to everything we touch. Our team members are smart, hard-working, have integrity and love to have fun as we play to win.

SOFTWARE AND INFRASTRUCTURE DEVOPS ENGINEER

Experience level  3+ YoE supporting production saas in AWS 

Location Anywhere in LATAM preferably in Colombia

Employment type Full‑time contract

ABOUT THE ROLE

Build out  a cloud‑native team that owns the entire software delivery life cycle on Amazon Web Services. You will combine deep Kubernetes expertise with Python and shell scripting to automate, monitor, and continuously improve the Linqia platform while driving FinOps practices to keep our cloud footprint efficient. Work in a GitOps culture where every change is delivered through pull requests and rolled out by automated pipelines.

WHAT YOU WILL DO

• Design, maintain, and evolve our AWS account structure, VPC networking, IAM policies, security boundaries, and cost‑management controls using Terraform and the AWS console
• Maintain secure networking layers with AWS load balancers, ingress controllers, service‑mesh policies, network policies, and zero‑trust principles
• Operate and harden production‑grade Kubernetes clusters on AWS EKS, including upgrades, service mesh, policy management, and multi‑cluster architectures driven by Argo CD
• Build reusable infrastructure‑as‑code modules with Terraform that provision cloud resources in minutes while enforcing tagging standards and least‑privilege access
• Create self‑service CI/CD pipelines in Jenkins and GitHub Actions for fast, safe releases with automated testing and promotion across environments
• Deliver real‑time observability with Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry, and use these tools to assist in solving production bugs and issues
• Administer and maintain purpose-built Linux VMs via configuration management tools like Puppet, Ansible, or Chef
• Deploy, scale, and maintain databases on AWS (Aurora, PostgreSQL, MySQL, OpenSearch, etc.), maintaining high database performance/uptime, optimizing tables and datasets, and ensuring disaster recovery protocols are in place.  
• Support developers by maintaining Podman‑based local dev boxes and Kubernetes staging environments that mirror production, ensuring smooth hand‑off from local code to cloud‑native deployments
• Implement FinOps practices: track and forecast AWS spend, enforce cost‑allocation tagging, identify rightsizing opportunities, manage Savings Plans or Reserved Instances, and build cost‑optimisation dashboards for engineering and finance stakeholders
• Write automation utilities and command‑line tools in Python and craft shell scripts that glue components and workflows together
• Champion reliability through incident reviews, capacity planning, game days, chaos testing, and service‑level objective tracking
• Collaborate in Agile rituals, plan sprints, refine backlog tickets, and pair with peers to spread DevOps and FinOps best practices

WHAT YOU BRING

• Bachelor degree in Computer Science or equivalent practical experience
• three plus years working with cloud infrastructure or platform engineering focused on AWS
• Deep hands‑on experience with Kubernetes, preferably EKS, covering upgrades, networking, storage, RBAC, and custom resources
• Proficiency in Python and Bash or Zsh scripting
• Strong understanding of core AWS services EC2, VPC, IAM, ALB, S3, RDS, CloudFormation, and CloudWatch
• Demonstrated experience applying FinOps principles: cost monitoring, forecasting, and optimisation on AWS
• Solid experience with Docker and container runtimes, with emphasis on Podman for local development environments
• Hands‑on practice with configuration‑management tools such as Ansible or Puppet and infrastructure‑as‑code with Terraform
• Proven use of Datadog for metrics, logs, and APM, plus familiarity with Prometheus and Grafana dashboards
• Comfortable with Git‑based workflows, feature branching, and pull‑request reviews
• Strong SQL skills and a deep understanding of relational database internals
• Competent in Linux administration, process troubleshooting, and performance tuning
• Practical knowledge of TCP/IP, HTTP, TLS, DNS, and common networking tools
• Clear communication skills and an ability to translate complex technical topics to diverse audiences
• Familiarity with Scrum or Kanban and a continuous‑improvement mindset

EXTRA CREDIT

• AWS certifications such as Solutions Architect, DevOps Engineer, or FinOps Practitioner
• Experience with AWS security tooling GuardDuty, Security Hub, IAM Access Analyzer, and KMS
• Building data pipelines with Apache Spark, Flink, or similar frameworks
• Implementing event‑driven architectures with Kafka Streams or KSQL
• Applying SRE practices such as error budgets and service‑level dashboards
• Exposure to machine‑learning workflows, ModelOps, or MLOps in production

_{This position description is intended to describe the duties most frequently performed by an individual in this position. Linqia is an equal opportunity employer supporting workforce diversity. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.}

_{Headhunters and recruitment agencies may not submit resumes or candidates through this Web site or directly to employees. Linqia does not accept unsolicited headhunter and agency resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.}

About Backblaze

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.

Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Technical Account Manager to join our team!

About the Role:

What You’ll Do:

• Create historic records that clearly outline how our service is being utilized and pinpointing where possible issues could arise.
• Parse code visually to see what the customer’s code is doing and having the knowledge of the B2 and S3 compatible API’s to discern what is going on in the user code.
• Write scripts that involve the B2/S3 compatible API for testing.
• Test 3rd party integrations and doing deep drives to learn the ins and outs of all of the integrations, while documenting quick configuration, caveats and other useful information to help in training.
• Work closely with members of other teams, including Sales, Marketing, Engineering, Operations and Product Management.
• Mentor Technical Support Engineers and others, in various technical areas.
• Post Sales support for large customers; take part in Solution Engineer calls and slack/email conversations with large customers as they transition from pre- to post-sales
• Create, Implement and use monitoring tools to proactively address common support issues before widespread impact to the customer base, including creation of monitoring dashboards and alerting
• Interact at a cross-departmental level to bring resolution to customer’s unique needs
• Build rapport and trust with assigned customers in technical matters
• Perform deep-dive technical troubleshooting of customer issues using analytical tools and internal system logs

Other responsibilities may arise over time. 
Working closely with the manager will be needed to solidify policies and procedures for this role.

The Right Fit:

• Comfortable with MacOS, Windows, Linux and BSD command line interfaces.
• Understand and be able to create/edit shell configuration files.
• Intermediate development skills in any type of Development/scripting language.
• Basic understanding of data structures and programming flows.
• Strong Organizational skills
• Self-motivated with the ability to work independently.
• Extensive troubleshooting/Debugging experience.
• Being able to understand API’s, use of API’s, and creating scripts that utilize API’s will be necessary for this role
• Working familiarity with Postman or Paw
• Soft skills and knowledge in de-escalation techniques for frustrated or excitable customers
• Punctuality, keeping a schedule and working within a time frame is critical for this role
• Strong communication skills as this role will be in frequent contact with customers via phone, chat and email
• Available for on call support as needed
• Ability to learn new tools and utilize them in an impromptu fashion
• Willingness and ability to use AI, responsibly, to help with the workflow.
• Minimum 2-4 years experience

At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer.

To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

#LATAM