We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Monks is seeking a Sr. Project Manager with a knack for design, animation, and video editing at scale. This person will work closely with our clients, so client-facing experience is a must.

This mid level role requires prior experience in digital advertising, transcreation, asset creation and/or integrated production, as well as an understanding of what is needed in the first place to make first-rate projects come about.

Role

• You’ll partner with one of our biggest clients to produce digital advertising assets that require our in-house teams to deliver quality x quantity.
• You are responsible for the process and completion of multiple design & animation projects simultaneously, managing the in- and output of our Design, Illustration and Animation Monks.
• A quality watchdog, you work closely together with our Program/Project Managers and production teams across several time zones to make sure pixels are pushed to perfection.
• You make sure that the work meets the client’s strategy, brand and creative goals, as well as our own quality standards.
• You help scoping and quoting projects, working with senior Monks and department leads to propose timelines and ballparks.
• As part of Monks, you are part of an international production company, with 9,000+ Monks from all production disciplines working together to craft the best of work.

Responsibilities

• A big part of your day-to-day is briefing team members on delivery objectives and keeping everyone informed on the progress of projects, and the latest office gossip.
• You make sure deadlines are met with lethal precision, and flag the ones that aren’t attainable upfront.
• You schedule, track and prioritize assignments and make sure the right resources (we mean people of course!) are available.
• You liaise between clients and teams to make sure Media.Monks nails milestone after milestone, hustling internal resources to meet external deadlines no matter what.
• You’ll be responsible for managing a team of producers and designers in your region, leading with passion and care. 

Requirements

• You have at least 2+ years of hands-on experience doing awesome work as a Producer or Project Manager in digital advertising or creative production.
• Fluent English communication is a must.
• You have a solid understanding of the creative workflow of fast-paced design and animation projects.
• You also have sufficient technical knowledge to foresee and address possible planning/production issues, translating the complexity of such projects into lucid language that clients can understand.
• We need a true-born and fun-loving team player who can successfully work across teams, time zones and technologies.
• You can collaborate comfortably with digital artisans including creatives, illustrators, designers, 2D animators, 3D animators, concept artists.
• Setting up and managing production projects between offices is no easy task and requires superb written and verbal communication skills.
• Spreadsheets are your natural habitat, project management tools your best friend (e.g., TeamGantt, 10,000ft, Basecamp, Post-it notes).
• You break the ice, instead of breaking a sweat when in front of the client and when facing crazy cases of ambiguity.
• You have the experience and tools to solve problems in your back pocket, and you're not afraid to use them as needed.

#LI-VM1

#LI-Hybrid

About the Role

The Physical Security Agent, Critical Incident Response Team (CIRT) is responsible for real-time monitoring, triage, and response to incidents that impact DoorDash’s global workforce, assets, and operations. You’ll serve as a front-line responder, analyzing alerts, coordinating response actions, and escalating issues according to established Global Safety & Security (GSS) protocols.

This role sits at the heart of DoorDash’s emergency response network — ensuring rapid, informed, and coordinated action during critical events such as natural disasters, workplace emergencies, or significant disruptions. Working closely with regional and global partners, you’ll help keep DoorDash’s people safe and operations running smoothly around the clock.

Key Responsibilities

Security Operations & Monitoring

• Monitor and assess alerts from global intelligence, safety, and security systems to identify potential threats or incidents
• Patrol and assess potential behavioral escalations or concerns
• Conduct routine lobby and facility patrols to ensure safety, security, and compliance
• Perform door, camera, and access point checks

Access Control & Visitor Management

• Manage employee and guest badging, including badge printing, activation, and access level assignments (experience with Genetec, Lenel S2, or similar systems)

Incident Response & Safety

• Triage incidents, determining severity and escalation requirements in accordance with CIRT standard operating procedures
• Act as the initial point of contact for incident reporting, ensuring information is captured accurately and escalated efficiently
• De-escalate situations involving employees, vendors, and guests as needed
• Support activation and execution of emergency response and crisis communication protocols

Employee Engagement

• Coordinate with internal teams (e.g., Workplace, HR, Legal, Comms, Operations) and external partners (e.g., law enforcement, emergency services) during incident response
• Disseminate timely situational updates and intelligence to relevant stakeholders

Asset & Inventory Management

• Maintain inventory, readiness, and restocking of first aid kits, AEDs, and other emergency response materials in coordination with Workplace teams
• Ensure emergency supplies are documented, tracked, and available to support incident response operations

Documentation, Compliance & Technology

• Maintain SOPs, post orders, incident reports, and audit records
• Ensure adherence to corporate safety, security, and compliance standards
• Maintain detailed logs, case notes, and documentation using Jira and other internal tools
• Participate in after-action reviews to improve process and operational efficiency

Events Support

• Support local events, executive visits, and executive protection details from an incident monitoring, coordination, and escalation perspective
• Coordinate with Workplace, Security, and event stakeholders to ensure appropriate safety coverage and response readiness
• Monitor events for emerging risks, incidents, or escalations and facilitate timely response as needed

Additional Duties

• Support after-hours, weekend, and holiday response as required by business needs
• Support special projects or operational needs as assigned
• Assist with credentialing, crowd flow, and safety monitoring during higher-volume office days or events
• Travel up to 5% as required for training or business support

Schedule & Work Environment

• On-site role, 40 hours per week
• Schedule may vary based on operational needs
• After-hours, weekends, and holidays as required by business needs

About You

• 2–4+ years of experience in emergency management, public safety, dispatch, GSOC, or related security operations environment
• CPR, First Aid, AED certification (current)
• Advanced First Aid training (EMT preferred) 
• Strong analytical and situational awareness skills — able to prioritize under pressure
• Exceptional written and verbal communication, particularly in high-stakes or time-sensitive situations
• Familiarity with incident management systems and communication tools (e.g., Everbridge, Dataminr, OnSolve, or similar)
• Calm and composed in emergencies, with strong problem-solving and judgment skills
• Willingness to work non-standard hours, including nights, weekends, and holidays
• Fluency in English required; additional language skills (Spanish, French, or Mandarin) a plus
• Bachelor’s degree or equivalent work experience in a relevant field (e.g., emergency management, criminal justice, homeland security)
• Great communication and relationship building skills

You’ll Love This Role If

• You thrive in high-tempo, real-time environments where every second matters
• You find purpose in helping protect people and operations from emerging risks
• You enjoy staying calm under pressure and making smart, quick decisions
• You value teamwork, precision, and continuous improvement

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

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

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page https://international.nubank.com.br/careers/

About the Role

In this role, you'll be the voice of Nu for our customers — the person who turns a problem into a resolution, and a routine interaction into a reason to trust us. As a Customer Service Analyst on our Customer Operations team, you'll directly shape the experience of millions of people who chose Nu to manage their financial lives.

This is an entry-level role built for someone eager to grow fast and make a real difference. No two days are the same: you'll handle a wide range of customer needs across multiple channels, develop your problem-solving instincts, and collaborate with a squad that takes customer obsession seriously.

You'll also play an active role in improving how we work — spotting patterns, flagging insights, and contributing to a team that's always looking for smarter ways to serve our customers. If you're the kind of person who cares deeply about doing right by people, this is where you start.

Note: Shifts may vary by day and start time based on operational needs. You'll always receive reasonable advance notice of any changes.

You'll be responsible for

• Resolve customer inquiries and requests across multiple channels — chat, email, and phone — delivering clear, accurate, and empathetic responses that earn trust with every interaction.
• Navigate established processes and guidelines to close out issues efficiently, knowing when to escalate and how to keep the customer informed throughout.
• Spot recurring patterns in customer problems and surface actionable insights to help improve processes and the overall experience.
• Adapt your tone, approach, and communication style to meet the unique needs of each customer and situation.
• Partner with your squad and cross-functional teams to hit operational goals and maintain service-level targets.
• Show up to training with curiosity — actively building your knowledge of Nu's products, policies, and tools to serve customers better over time.

We are looking for a person who has

Required

• Experience in a customer-facing role — retail, hospitality, support, or any context where solving people's problems was the job.
• Track record of written and verbal communication that is clear, empathetic, and adapts to different audiences.
• Demonstrated ability to follow structured processes and guidelines accurately, while staying flexible when things change.
• A natural instinct for identifying the root cause of a problem and finding a simple, effective path to resolution.
• Comfort with rotating schedules and operational flexibility — you understand that customer needs don't follow a fixed clock.

Nice to have

• Experience handling customer complaints or escalations in a financial services or fintech environment.
• Familiarity with CRM tools, ticketing systems, or support platforms (e.g. Zendesk, Salesforce, Freshdesk).
• Basic data skills — able to read a report, track your own metrics, or spot a trend in a spreadsheet.

Location for this opportunity

Mexico City, Mexico. 100% On-Site · 5 days/week

Our Benefits

• Chance of earning equity at Nu
• Extended maternity and paternity leaves
• Health and life insurance
• Dental and Vision Insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• Holiday Bonus ("Aguinaldo") of 30 days of pay per year
• 17 days of paid vacation with 25% vacation bonus
• Gym partnership
• Food card
• Work-from-home Allowance
• Parental Consultancy
• Relocation Assistance Package, if applicable

Work Model for this Role

This role is based full-time at one of our offices in Mexico City as a regulatory requirement.

If you're looking for a place to grow your career in a high-performance, mission-driven environment - surrounded by exceptional people and close to the decisions that shape the future of finance in Latin America - this is where that happens.

Explore how we build technology at Nubank

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

About the role:

Samsara’s Enterprise Customer Success team advises and guides our largest customers, ensuring they adopt Samsara and continuously gain business value from our products. We are the trusted point of contact for Samsara’s strategic customers throughout their lifecycle: onboarding, adoption, advocacy, and renewal. 

In this role, you will be part of our Customer Success team, responsible for helping Enterprise customers deploy and adopt our IoT solutions for their fleet and industrial assets. Picking up where our sales teams leave off, you will own the customer relationship and ensure a successful deployment of Samsara's solution. Your customers span the entire range of businesses that power our economy, including trucking and transportation, food and beverage, passenger transit, utilities, school buses, and many others. All the while building relationships with the customer, helping them learn our system, and overall ensuring a successful customer relationship. 

Your role will be cross-functional in nature, working alongside and connecting Sales, Support, Sales Engineering and Product, enabling you to experience multiple aspects of a fast growing company from within. 

This role requires exceptional customer-facing communication skills, the ability to quickly understand a customer's business, and comfort explaining technology products to both executives and day-to-day users. In addition to this, you will champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a growth mindset, be inclusive and win as a team) as we scale globally and across new offices.

This is a remote position open to candidates based in Mexico.

You should apply if:

• You want to impact the industries that run our world: Every phone call you answer and every email you send can affect whether truck drivers deliver goods on time and without accidents, whether students get dropped off safely from school, or whether power gets restored quickly after a natural disaster.
• You thrive the most when solving problems: Our constantly expanding technology and the complexities faced by our customers provide an exciting range of challenges for our Customer Success teams. With a growth mindset and a desire to learn, you will strategically partner with our customers to find unique solutions to help keep their operations safe, efficient, and sustainable.
• You are a natural relationship builder: Whether the relationship is with our customers or with cross-functional teams in Samsara, you are in constant communication and collaboration with key stakeholders to win as a team.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. This Customer Success team is still shaping its future and you will have plenty of autonomy and opportunities to master your craft in a hyper growth environment.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by the best and brightest professionals out there.

In this role, you will: 

• Be on the front-lines and ensure our customers increase the safety, efficiency, and sustainability of their operations with our IoT platform.
• Manage the deployment of Samsara technology to large-scale customers, enabling customers to achieve quick time to value in their investment.
• Create launch plans and a roadmap to increase product usage.
• Track implementation progress, participation, product adoption, and account health.
• Run training sessions, demonstrate Samsara’s technology, and work through challenges with executives and day-to-day users of the system across numerous use cases.
• Juggle multiple customer engagements in parallel and work cross-functionally to deliver an exceptional experience for our customers.
• Deeply understand the Samsara platform’s capabilities and explain them to customers of all types.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a growth mindset, be inclusive and win as a team) as we scale globally and across new offices.

Minimum requirements for this role:

• 5+ years of experience in a Senior Customer Success, Enterprise Customer Success Manager, Senior Account Management, or Strategic Consulting role. Enterprise SaaS experience preferred.
• Bilingual (Spanish and English) is required
• Strong spoken and written language skills for working with multiple teams and publishing documentation.
• This is a demanding position with high internal visibility, that requires strong priority management and high emotional intelligence.
• Experience supporting or working with technical products.
• Excellent consultative skills with experience in end to end system implementations.
• Proven track record of building trust and communicating effectively with a wide variety of stakeholders: executives, Product and Engineering leadership, day-to-day users of our software.
• Diplomacy, tact, and poise under pressure when working through customer issues.
• Bachelor’s degree from a 4-year institution.
• Candidate must be based in Mexico.

An ideal candidate also has:

• Strong bias for action, the ability to think big, with insistence on high standards.
• Experience serving a large and complex customer base in B2B SaaS.
• Thrives in an unstructured, fast-paced, and change-heavy environment.
• Experience working with different countries of the LATAM regions preferred, but not required.

 The salary range for this role is $3,333 - $6,000 per month (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 AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.

You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.

What You'll Do:

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
• Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
• Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
• Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

What We Look for:

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
• Familiarity with cloud-native development using AWS.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).

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.

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 2,500 - 3,333 USD  per month (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 AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.

You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.

What You'll Do:

• Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
• Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
• Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
• Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
• Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
• Apply systems thinking to ensure reliability, performance, and security across platforms.
• Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
• Participate in production support and incident response for team-owned systems, learning operational best practices.
• Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.

What We'll Look For:

• 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
• Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
• Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
• Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
• Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
• Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with cloud-native development using AWS.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).

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.

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

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 Marketing Analyst- Comms who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

The Marketing Analyst - Comms, will sit at the intersection of data, CRM strategy, and AI-driven efficiency. We’re looking for an execution-oriented person who owns their work from end-to-end. You'll dive into the details of how our campaigns operate across email, push, SMS, and in-app channels, spot friction and inefficiency, and design smarter ways forward. You'll spend most of your time inside Braze, Sezzle's primary consumer-focused CRM and marketing automation platform, building and analyzing campaigns across email, push, SMS, and in-app channels. You'll dig into performance data to identify what's working, surface gaps in our consumer journeys, and develop new comms to fill them. You'll also look for every opportunity to apply AI tools to make the team's output faster, sharper, and more scalable.
This isn't a role where you wait for assignments. We want someone who can look at a set of data, identify the opportunity, and start building toward it then communicate what  they found and why it matters to the team around them.

What You'll Do:

• CRM Campaign Execution & Analysis

  • Build, launch, and iterate on campaigns and canvases in Braze across email, push, SMS, and in-app channels.

  • Audit existing consumer journeys to identify engagement gaps, drop-off points, and missed messaging opportunities.

  • Develop segmentation strategies and personalized comms that improve activation, engagement, and retention.

  • Support A/B test design, execution, and readout — translating results into clear, actionable recommendations.

  • Maintain performance dashboards and reporting frameworks that make campaign data interpretable for the broader marketing team.

  • Track KPIs including DAU, ARPDAU, LTV per user, open rates, click rates, and conversion, and surface insights tied to those metrics.

  • Effectively manage our marketing CRM tool to drive new and innovative use cases that can be shared across the team

  • Write SQL queries to investigate issues and campaign results using internal data

  AI, Automation & Process Optimization

  • Identify opportunities to apply AI tools and automation across marketing workflows from copy generation to campaign QA to performance analysis.

  • Build and iterate on tools, templates, and agents that reduce manual effort and improve output consistency.

  • Stay current on emerging AI/automation capabilities and bring concrete recommendations for how they can be applied within Sezzle's marketing stack.

  Cross-Functional Collaboration

  • Partner with marketing, product, data, and engineering teams to align on tooling decisions and ensure smooth implementation.

  • Serve as a connector between technical teams and marketing stakeholders, translating requirements in both directions.

  • Facilitate adoption of new tools and workflows by developing documentation, training materials, and hands-on support for team members.

  • Identify and flag integration risks early; bring concrete mitigation recommendations.

What We Look for:

• Skills & Competencies

  • Hands-on experience building or implementing AI tools, agents, and automation in a professional setting.

  • Strong analytical skills, comfortable working with data, running queries, and presenting findings with context.

  • Experience in consumer marketing operations, CRM platforms (Braze or similar), or marketing technology stacks; Braze experience is a plus.

  • Ability to identify process inefficiencies and develop structured, scalable solutions.

  • Excellent written and verbal communication skills, and you can explain technical concepts clearly to non-technical teammates.

  • Basic project management skills; organized, proactive, and reliable with deadlines.

  • Experience with segmentation, A/B testing, and performance reporting.

  • Strong experience in data visualization tools and SQL.

  • Ability to prioritize and manage multiple tasks simultaneously 

  Educational & Professional Experience

  • Background in computer science, analytics, engineering, AI, and/or related fields.

  • Exposure to business, marketing, finance, or other related fields

  • Previous internships or academic projects involving campaign management, marketing analytics, and content creation preferred.

  • Professional, academic or personal projects that demonstrate an ability to creatively use AI to create efficiencies.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.

• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.

• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.

• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.

• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).

• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.

• Familiarity with cloud-native development using AWS.

• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.

• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.

• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).

• Experience with Golang is a plus (or willingness to learn).

• Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

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.

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 $3,333 - $6,000 per month (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 AI Engineer II who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer II on the Applied AI team, you will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered platforms from scratch, developing intelligent automation and orchestration systems, and embedding proprietary AI solutions directly into customer-facing products, internal tools, and operational workflows.

You will operate in highly ambiguous problem spaces, working closely with product, engineering, and operations teams to identify opportunities where AI can drive meaningful impact — whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers ready to move beyond scoped execution and into leading solutions: shaping architecture, driving implementation, and ensuring that what is built is reliable, scalable, and genuinely useful for both external users and internal teams.

What You'll Do:

• Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from the ground up with a focus on Marketing.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Design and implement AI-driven features, intelligent automation, and orchestration systems that enhance customer experiences and compound productivity across teams.
• Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring solutions integrate naturally and deliver measurable value.
• Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
• Apply strong systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
• Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
• Participate in production support and incident response for owned systems, helping define and uphold reliability and operational best practices.
• Mentor AI team members through code reviews, design feedback, and hands-on guidance, raising the overall quality bar of the team.

What We Look for:

• 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
• Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
• Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies for domain-specific applications.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases (Pinecone, Weaviate, pgvector, or similar).
• Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
• Familiarity with cloud-native development using AWS.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).
• Experience with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

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.

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 2,500 - 3,333 USD  per month (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 AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.

As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.

You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.

What You'll Do:

• Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives.
• Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration.
• Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity.
• Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally
• Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
• Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
• Translate business and operational problems into maintainable, AI-enabled technical solutions with guidance from senior team members.
• Apply systems thinking to ensure reliability, performance, and security across platforms.
• Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions.
• Participate in production support and incident response for team-owned systems, learning operational best practices.
• Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth.
• Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP.

What We'll Look For:

• 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
• Hands-on experience designing, building, and shipping AI-powered systems into production environments.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience working with distributed systems, internal platforms, or complex data workflows.
• Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.

Preferred Qualifications:

• Exposure to building AI-powered platforms or products, including contributing to architectural decisions.
• Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation.
• Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts.
• Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar).
• Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search.
• Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood.
• Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
• Familiarity with cloud-native development using AWS.
• Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
• Experience with Golang is a plus (or willingness to learn).

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.

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

We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms.

You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering.

What You’ll Do

• Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)
• Collaborate with product managers and engineers to bring AI features to life across the platform
• Develop and optimize data pipelines to support model training and inference
• Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows
• Monitor model performance and retrain/improve based on feedback and usage
• Build scalable AI solutions using cloud-native tools (preferably AWS)
• Contribute to data governance, ethical AI use, and compliance

What You’ll Bring

• 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure
• Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
• Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar
• Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML
• Experience with data versioning, MLOps, and model lifecycle management
• Ability to work autonomously and thrive in a startup environment
• Familiarity with HR tech, payroll, or workforce data is a plus

The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• 100% remote work
• Medical Insurance for you and eligible dependents
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Important Information

Experience: +7 years

Job Mode: Full-time

Work Mode: Remote

ID: 20891

Job Summary

We are seeking a highly experienced Senior IA Engineer with deep expertise in AI workloads, NLP, LLMs, and Voice APIs, along with strong hands-on experience in AWS and extensive use of Claude.

This role is ideal for someone who can design, build, and scale intelligent automation solutions powered by large language models and conversational AI. You will play a key role in architecting AI-driven systems, integrating voice capabilities, and optimizing model performance in production environments.

Responsibilities and Duties

• Design, develop, and deploy AI-driven solutions leveraging LLMs, NLP, and conversational AI technologies.
• Build and optimize voice-enabled applications using modern Voice APIs.
• Work extensively with Claude for prompt engineering, orchestration, and AI workflows.
• Develop scalable AI pipelines and services on AWS (e.g., Lambda, S3, SageMaker, Bedrock).
• Implement and maintain end-to-end AI workflows, from data ingestion to inference and monitoring.
• Fine-tune prompts, evaluate model outputs, and improve accuracy, latency, and cost efficiency.
• Collaborate with product and engineering teams to integrate AI capabilities into applications.
• Ensure security, governance, and compliance in AI systems.
• Monitor AI system performance and implement improvements based on real-world usage.
• Mentor team members and contribute to AI best practices and standards.

Qualifications and Skills

• 7+ years of experience in software engineering
• Strong hands-on experience with:
  • LLMs (Large Language Models) and NLP techniques
  • Claude (Anthropic) for building AI-driven applications
  • Voice APIs and speech-based interfaces
  • AWS cloud services (Lambda, S3, API Gateway, Bedrock, SageMaker, etc.)
• Experience designing and deploying AI workloads in production.
• Strong programming skills in Python (preferred) or similar languages.
• Experience with prompt engineering, evaluation frameworks, and model optimization.
• Understanding of REST APIs, microservices architecture, and distributed systems.
• Familiarity with data pipelines and handling structured/unstructured data.

Nice to have experience 

• Hands-on experience using Agentic AI to accelerate code implementation and enhance development productivity. 

• C++ knowledge and experience a benefit 

• Familiarity with cloud platforms and distributed computing: 

• Restful API design and implementation 

• AWS and Azure 

• Tools for scalable data processing: Kubernetes, Spark 

• Experience with Java 2D graphics or 3D OpenGL + CUDA programming. 

• Experience working with Cascading Style Sheets (CSS) 

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Remote

ID: 20983

Job Summary

We are looking for a versatile and forward-thinking Senior Software Engineer to support and accelerate AI adoption across the organization. This is not a traditional project-based role—instead, you will act as a technical enabler and problem solver, partnering with business teams to bring AI-driven ideas to life.

You will work across a variety of use cases, from building new AI-powered solutions to deploying and scaling existing prototypes, often in non-standard and evolving environments. Success in this role requires adaptability, strong engineering fundamentals, and hands-on experience with modern AI tools and cloud platforms.

Responsibilities and Duties

• AI Enablement & Solution Delivery

  • Collaborate with business stakeholders to evaluate, design, and implement AI-driven solutions.
  • Support both greenfield builds and deployment of existing AI prototypes.
  • Work with modern AI tools such as Claude, Codex, Cline, and similar platforms to accelerate development and experimentation.
  • Contribute to prompt engineering, workflow orchestration, and AI solution optimization.
  • Help define best practices for AI adoption across the organization.

  ---

  Software Engineering & Development

  • Design, develop, and maintain scalable applications using Java or Python.
  • Build APIs, services, and integrations to support AI-driven workflows.
  • Ensure high standards for code quality, performance, and maintainability.
  • Work across different layers of the stack depending on project needs.

  ---

  Cloud & Architecture (AWS)

  • Design and implement solutions in AWS, leveraging cloud-native architectures.
  • Contribute to architectural decisions with a focus on scalability, reliability, and cost-efficiency.
  • Deploy and manage applications in cloud environments, with exposure to services such as:
    • AWS Lambda (serverless)
    • Amazon EKS (Kubernetes) (nice to have)
  • Apply best practices for cloud security, monitoring, and resource optimization.

  ---

  Adaptability & Problem Solving

  • Operate effectively in ambiguous, fast-changing environments with evolving requirements.
  • Quickly ramp up on new tools, frameworks, and AI technologies as needed.
  • Act as a technical consultant/partner to non-engineering teams.
  • Balance speed and quality while delivering practical, business-focused solutions.

  ---

  Collaboration & Continuous Improvement

  • Work closely with cross-functional teams including Product, Data, and Business stakeholders.
  • Share knowledge and help upskill teams on AI capabilities and tools.
  • Contribute to improving engineering practices, tooling, and workflows.
  • Participate in technical discussions, design reviews, and solution brainstorming.

Qualifications and Skills

• 5–8+ years of experience in software engineering.
• Strong proficiency in Java or Python (both is a plus, but not required).
• Hands-on experience working with AI tools and platforms (e.g., Claude, Codex, Cline, or similar).
• Experience building and deploying applications in cloud environments (AWS preferred).
• Solid understanding of software architecture, APIs, and system design.
• Ability to work in ambiguous, non-standard, and evolving environments.
• Strong problem-solving and analytical skills.
• Excellent communication skills and ability to work directly with business stakeholders.

Preferred Qualifications 

• Experience with LLMs, NLP, or AI/ML workflows.
• Familiarity with prompt engineering and AI orchestration frameworks.
• Experience with AWS Lambda, EKS, or other cloud-native services.
• Knowledge of containerization (Docker, Kubernetes).
• Experience integrating AI solutions into enterprise systems.
• Background in rapid prototyping or innovation-focused teams.

About Encora 

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others. 

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality. 

Position Overview

The Customer Success Manager (CSM) oversees a portfolio of accounts and ensures an amazing customer experience, as measured by NPS, net revenue retention, referrals and product usage indicators.

As the key contact point for the customer relationship on Diligent products. The CSM will perform hands-on account management activities as well as collaborate with other team members in coordinating successful customer onboarding, training and ongoing customer relationships to ensure long-term satisfaction.

Key Responsibilities

• Renew and grow a set of customer accounts by proactively anticipating needs, recommending additional products and services and providing an excellent customer experience as measured by revenue retention and customer product usage.
• Increase overall client satisfaction with Diligent measured through Net Promoter Score.
• Provide a seamless and ‘best in class’ customer experience through all phases of the customer lifecycle - coordinating with the client implementation and project teams, administrative staff, IT Team, and users of the Diligent application/s.
• Collaborate internally to be the voice of the customer across other departments, including with the sales, expansion, services, marketing, finance, customer transactions and operations teams.
• Be heavily intertwined with the Expansion Sales team in spotting, qualifying and passing on expansion leads.
• Facilitation alongside the Implementation team of the core Boards product and modules with senior stakeholders to the client including C-Suite and Directors.
• Build and maintain strong direct client relationships with key stakeholders & retain those relationships.
• Seek out client advocacy related initiatives.

Required Experience/Skills:

• Fluency in additional languages to English are desirable.
• Build and maintain strong direct client relationships with key stakeholders & retain those relationships.
• Seek out client advocacy related initiatives.
• Some experience in enterprise level account management (preferably in SaaS).
• Some experience in sales CRM applications such as Salesforce.
• Excellent communication and presentation skills, with the ability to manage multiple stakeholders.
• Strong problem-solving ability, with a natural curiosity around the client’s business needs.
• High level of resilience and a positive attitude when faced with adversity.
• Passionate about technology with a solution-centric mindset.

Perfil: Desarrollador Cloud

Rol: Desarrollador

Nivel: STD – SR

Experiencia

Años de experiencia:

• 3 o más años de experiencia como Desarrollador/a Cloud (Multi‑Nube) con IA/ML y DevOps.

Escolaridad

• Licenciatura o Ingeniería en:
• Sistemas
• Computación
• Matemáticas
• Física
• Carrera afín
• (O experiencia equivalente comprobable)

Modalidad y Condiciones de Trabajo

• Modalidad de trabajo: Híbrido
• Días en oficina: 2 veces por semana
• Horario: Lunes a viernes, 9:00 a.m. a 6:00 p.m.
• Ubicación: CDMX
• Dirección de sede: Polanco / Reforma

Objetivo del Puesto

Diseñar, construir y operar aplicaciones y servicios escalables en entornos multi‑nube (AWS, GCP y/o Azure), integrando desarrollo backend, prácticas DevOps/MLOps e implementación de modelos de IA/ML en entornos productivos, asegurando calidad, seguridad, observabilidad y eficiencia operativa.

Certificaciones Recomendadas

Google Cloud Platform

• Google Professional Cloud Developer
• Google Professional Cloud Architect (deseable para perfil SR)
• Google Professional Machine Learning Engineer
• Google Associate Cloud Engineer

Amazon Web Services (AWS)

• AWS Certified Developer – Associate
• AWS Certified Solutions Architect – Associate
• AWS Certified Machine Learning – Specialty (altamente alineada a IA/ML)
• AWS DevOps Engineer – Professional (deseable para perfil SR)

Microsoft Azure

• Microsoft Certified: Azure Developer Associate (AZ‑204)
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure DevOps Engineer Expert

Machine Learning

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Azure Data Scientist Associate
• TensorFlow Developer Certificate
• IBM AI Engineering Professional Certificate

Idioma

• Inglés técnico (deseable)

Habilidades Blandas

• Trabajo en equipo
• Autogestión
• Perfil autodidacta
• Comunicación efectiva
• Resolución de problemas
• Adaptabilidad
• Proactividad
• Pensamiento analítico

Requisitos Técnicos

Versionador e Integrador de Código

• Git
• GitHub Actions / GitLab CI
• Cloud Build / Cloud Deploy (GCP)
• CodeBuild / CodePipeline (AWS)
• Azure DevOps Pipelines

Lenguajes de Programación

• Python
• Node.js
• TypeScript (deseable)
• SQL
• YAML (pipelines / Infraestructura como Código)

Sistemas Operativos

• Linux (principal)
• Windows
• macOS

Manejadores de Bases de Datos

• Cloud SQL
• Amazon RDS
• Azure SQL
• BigQuery
• Bases de datos relacionales y analíticas
• Almacenamiento de objetos:
• Amazon S3
• Google Cloud Storage
• Azure Blob Storage

Frameworks de Desarrollo

Backend

• Express
• Fastify (Node.js)

IA / ML

• scikit-learn
• TensorFlow / Keras
• PyTorch

NLP

• spaCy
• NLTK
• Hugging Face Transformers (deseable)

IDE

• Visual Studio Code
• IDEs compatibles con Python y Node.js

Herramientas

• Docker
• Kubernetes (GKE / EKS / AKS)
• Helm
• Terraform
• MLflow / DVC
• Postman (pruebas de APIs)
• Prometheus / Grafana
• OpenTelemetry

Plataformas Cloud

• Google Cloud Platform (principal)
• Amazon Web Services (deseable)
• Microsoft Azure (deseable)

Asistentes de IA

• No especificados explícitamente
• (Uso implícito de frameworks y plataformas de IA/ML)

Conocimiento del Negocio

Marcos o Metodologías de Trabajo

• Metodología Ágil
• Scrum

Herramientas para Seguimiento y Control de Proyectos

• Gestión de backlog (herramientas ágiles no especificadas)
• Métricas ágiles:
• Velocity
• Lead Time
• Tableros de observabilidad
• Definición y seguimiento de SLO / SLI

Esquema de Trabajo

• Asignación a proyectos
• Desarrollo y operación de productos digitales
• (No esquema de fábrica de software)

Tipo de Asignación

• Proyectos
• Operación
• Soporte productivo
• Mejora continua

Tipo de Proyecto

• Ágil

Industria

• Banca / Servicios Financieros

Tecnología

• Cloud Computing
• Inteligencia Artificial / Data

The Opportunity

This is a senior technical client leadership role that blends deep hands-on ML expertise with strategic advisory and consulting skills. You will be the most experienced ML voice across a diverse and expanding book of customer engagements — from early-stage companies bringing ambitious ML ideas to market, to established enterprises modernizing how they build and operate AI systems on AWS.

You will shape strategy, influence architecture, and leave every team you touch better than you found it. You bring the scientific depth to design and evaluate models rigorously, the engineering depth to architect production ML systems at scale, and the consulting instincts to translate both into business value for customers.

If you have led the hard conversations, shaped the architecture decisions that mattered, and built the things others benchmark against — and you are looking to do that across a growing portfolio of varied and interesting customers — this is the role for you.

What You'll Do

• Lead end-to-end ML assessments across infrastructure, data pipelines, model lifecycle, and organizational readiness — producing recommendations that drive executive decision-making and earn Caylent the next engagement.
• Partner with sales and solutions teams through the proposal and scoping phase, contributing the technical depth needed to shape well-grounded statements of work.
• Serve as the senior technical authority on client engagements — possibly across multiple projects simultaneously — providing architectural guidance, ensuring technical quality from your project team members, and getting hands-on when the engagement demands it, without owning day-to-day implementation responsibilities.
• Own or orchestrate high-quality POCs that give customers confidence before committing to a larger initiative.
• Advise customers on ML operations standards and architecture — covering MLOps pipeline design, model lifecycle management, LLMOps patterns, and production monitoring frameworks — translating operational complexity into decisions and guardrails their teams can own and sustain.
• Shape how Caylent wins its most technically complex opportunities — contributing the architectural thinking and credibility that turns prospects into customers.
• Strengthen the ML practice from the inside — through peer guidance, technical interviews, and contributions to accelerators, reference architectures, and thought leadership content.

What You Bring

The non-negotiables

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether traditional ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards and decisions that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization (quantization, vLLM), and distributed training (DeepSpeed, FSDP) — combined with RAG and agentic system design, including multi-agent architectures, event-driven workflows, MCP integration, and human-in-the-loop patterns on AWS. Technical authority to prescribe the right approach and set architectural standards that teams can execute against.
• Proven ability to operate independently in complex customer environments — navigating ambiguity, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Hands-on experience designing and deploying SRE agents and AI-driven operations workflows in production — spanning automated incident detection, triage, and remediation — with the ability to integrate across observability platforms and translate AI operations outcomes into measurable business value.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI

AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)

Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts

AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly

Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue

Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate

Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama

MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness

LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation

Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the Role

As Senior Analyst, you are accountable for quantifying and measuring the success of our marketing and advertising executions and for delivering quantifiable insights that enable us to innovate the work we deliver at MFG. You will be partnering with Analytics and cross-discipline team members in New York, Chicago, San Francisco and Los Angeles, helping to create continuity between the various teams.

Some of the things we’d like you to do: 

• Everything with marketing data (collection, cleaning, analysis and validation)
• Communicate advertising campaign insights generated by our analysis and share communication best practices internally
• Seek knowledge of other practices in order to understand how to tailor insights and recommendations towards actionability
• Support the wider Analytics team in implementing our measurement tools
• Transform data into visually appealing presentations
• Proactively identify and resolve program & project issues, escalating appropriately
• Stay up to date on our product offerings and how it affects analytics
• Occasional vendor and client communication may be required

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology, Marketing, Advertising or equivalent experience
• At least C1 English language proficiency or equivalent
• 2+ years of experience working in a marketing analytics-based role
• Proficiency in Excel, PowerPoint (Google Workspace a must)
• Exposure to measurement of both Brand and Direct Response marketing campaigns
• Strong project management skills
• Strong verbal and written communication
• Strong attention to detail and ability to manage multiple tasks
• Highly organized and efficient under pressure
• Natural affinity for numbers/data and a passion for playing with data in order to solve problems
• Experience with generative AI tools (Gemini, ChatGPT) a plus
• Experience with programming languages such as R, SQL, and Python a plus

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

About the Role

As Senior Analyst, you are accountable for quantifying and measuring the success of our marketing and advertising executions and for delivering quantifiable insights that enable us to innovate the work we deliver at MFG. You will be partnering with Analytics and cross-discipline team members in New York, Chicago, San Francisco and Los Angeles, helping to create continuity between the various teams.

Some of the things we’d like you to do: 

• Everything with marketing data (collection, cleaning, analysis and validation)
• Communicate advertising campaign insights generated by our analysis and share communication best practices internally
• Seek knowledge of other practices in order to understand how to tailor insights and recommendations towards actionability
• Support the wider Analytics team in implementing our measurement tools
• Transform data into visually appealing presentations
• Proactively identify and resolve program & project issues, escalating appropriately
• Stay up to date on our product offerings and how it affects analytics
• Occasional vendor and client communication may be required

A bit about yourself:

• Bachelor's Degree from a top-tier college, 3.0 GPA or equivalent. Degree within Analytics, Technology, Marketing, Advertising or equivalent experience
• At least C1 English language proficiency or equivalent
• 2+ years of experience working in a marketing analytics-based role
• Proficiency in Excel, PowerPoint (Google Workspace a bonus)
• Exposure to measurement of both Brand and Direct Response marketing campaigns
• Strong project management skills
• Strong verbal and written communication
• Strong attention to detail and ability to manage multiple tasks
• Highly organized and efficient under pressure
• Natural affinity for numbers/data and a passion for playing with data in order to solve problems
• Experience with generative AI tools (Gemini, ChatGPT) a plus
• Experience with programming languages such as R, SQL, and Python a plus

At Blip, we are looking for a Conversational AI Designer who combines creativity, strategic thinking, and deep technical knowledge of LLMs to build next-generation AI experiences. You won’t just design flows; you will shape how AI interacts, thinks, and solves problems, ensuring every interaction is intelligent, safe, and aligned with business objectives.

This role involves close collaboration with UX, Developers, Product Managers, and data scientists to define, prompt, and optimize AI-driven agents that deliver human-like value at scale.

Main Responsibilities:

• AI Product Architecture: Define and structure AI-driven products using human-centered methodologies, moving beyond rigid trees to intent-based and generative systems.
• Prompt Engineering & Persona Design: Craft and refine system prompts, defining the AI’s personality, tone, and guardrails to ensure consistent and safe brand representation.
• Strategic AI Vision: Propose and justify design decisions based on LLM performance, data insights, and business ROI, identifying where generative AI adds real value vs. traditional logic.
• Agile AI Development: Collaborate with technical teams to define MVPs, manage context windows, and prioritize features based on model capabilities and limitations.
• Data-Driven Optimization: Drive continuous improvement through the analysis of conversation logs, RAG (Retrieval-Augmented Generation) accuracy, and AI performance metrics.
• Cross-functional Leadership: Bridge the gap between complex AI technicalities and user needs, ensuring seamless integration of AI features into the user journey.

Requirements

• Background: Bachelor’s degree in Computational Linguistics, Cognitive Science, Design, or related fields.
• Expertise: Proven experience in Conversational AI (LLMs, NLP, NLU), specifically building autonomous agents or advanced chatbots.
• AI Tooling: Strong understanding of how LLMs work (tokens, temperature, RAG) and experience with AI orchestration platforms.
• Design Skills: Proficiency in Figma for prototyping and flow mapping, with an ability to document non-linear AI behaviors. (Plus)
• Languages: Advanced English proficiency (crucial for high-quality prompt engineering).
• Methodology: Mastery of Agile/Scrum, "test-and-learn" mindset typical of AI development and Design Thinking
• Soft Skills: High level of empathy to predict user friction and critical thinking to mitigate AI hallucinations.

Preferred Qualifications

• Experience with Prompt Engineering frameworks and fine-tuning workflows.
• Knowledge of Python or basic technical understanding of API integrations.
• Previous experience in high-growth SaaS or AI-native startups.

Company Overview:

Transmit Security is leading the way in Customer Identity and Access Management (CIAM) and Fraud Prevention solutions. We are looking for an Account Executive (AE) who thrives in a fast-paced, high-growth environment, with a proven track record of selling enterprise-level SaaS solutions to C-suite executives. If you are a hunter, results-driven, and ready to make an impact in the cybersecurity space, this role could be your next great opportunity.

Position Overview:

We are hiring an experienced Account Executive (AE) who will play a key role in driving new business, expanding existing accounts, and closing complex, multi-stakeholder enterprise deals in the CIAM and Fraud Prevention domains. The ideal candidate will have a deep understanding of security and identity solutions and possess a natural ability to build and maintain relationships with high-level decision-makers in target verticals such as banking, retail, eCommerce, and financial services.

Location: Mexico

What We Look for in Candidates:

• Energy & Intelligence: High-energy, intellectual curiosity, and the ability to quickly understand complex customer pain points.
• Integrity: Transparent, ethical sales approach, with a focus on delivering value to customers.
• Coachability & Adaptability: Ability to take feedback, pivot as needed, and grow in a fast-paced environment.
• Hunter Mindset: Proactive, methodical, and self-starting approach to generating pipeline.
• Stakeholder Engagement: Comfort in selling to multiple senior-level stakeholders across technical, business, and executive teams.
• Results-Oriented & Resilient: Proven track record of hitting revenue targets, overcoming challenges, and maintaining focus during long sales cycles.
• Start-Up Mentality: Eager to build a new vertical in the whitespace

Ideal Candidate Profile:

Experience:

• 10+ years in enterprise SaaS sales, with a proven track record of selling into C-suite and senior-level executives (CISO, CPO, VP Engineering, CIO, etc.).
• Experience selling CIAM and/or fraud prevention solutions with a deep understanding of cybersecurity challenges.
• Track record of success in closing 500K+ ARR multi-year deals.
• Experienced in strategic, solution-based selling, with a focus on building business cases and articulating ROI.
• Demonstrated success in both new customer acquisition and expansion within existing accounts.

Skills & Expertise:

• Hunter Mindset: Persistent and results-driven, with experience generating new pipeline through networks, cold outreach, and strategic prospecting.
• Strategic Selling Expertise: Ability to execute consultative and challenger sales, guiding prospects through complex decision-making processes.
• Value-Based Selling: Strong ability to quantify the business impact and ROI of security solutions.
• Deal Mechanics & Discipline: Skilled at managing deal processes, navigating complex sales, and handling objections with confidence.
• Industry Knowledge: Strong understanding of the CIAM, Fraud, and Cybersecurity industries, including trends, challenges, and key decision-makers.

Core Values:

• Integrity: Ethical and transparent approach in all interactions.
• Entrepreneurial Spirit: Treats the role as a business owner, taking initiative and ownership.
• Resilience & Growth Mindset: Maintains drive through setbacks, continuously learning and evolving.
• Collaboration: Strong ability to work cross-functionally with internal teams (SE, Marketing, Legal, etc.) and externally with customers.
• Customer-Centric: Prioritizes customer relationships and continuously seeks to understand and meet their evolving needs.

Transmit Security is committed to fostering, cultivating and preserving a culture of Diversity and Inclusion. Our human capital is the most valuable asset we have. The collective sum of the individual differences, life experiences, knowledge, inventiveness, innovation, self-expression, unique capabilities and talent that our employees invest in their work represents a significant part of not only our Culture, but our Reputation and Achievements as well.  We encourage diversity and embrace our employees’ differences in age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique.

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

Due to business and compliance requirements, this position is open only to candidates residing in Mexico. Applications from candidates outside this region will not be considered.

Job Overview 

We are seeking a Senior Product Manager to lead the strategy, design, and execution of AI-driven capabilities within our enterprise platform. You will help define how intelligent features are envisioned, built, and adopted to create smarter, more adaptive workflows for clients.

You will collaborate with engineering, design, domain experts, and enterprise clients to shape AI capabilities that balance innovation, usability, and trust.

Essential Duties & Responsibilities:

Product Strategy & Roadmap

• Define and own the roadmap for AI-powered features that modernize enterprise workflows for the platform and its surrounding integrated solutions.
• Drive the vision for how AI can adapt to client-specific needs while maintaining reliability and transparency.
• Balance innovation with requirements for compliance, security, and trust.
• Explore adjacent opportunities for AI features that deliver measurable client value.

Execution & Delivery

• Write clear epics, user stories, and acceptance criteria for AI-related product features.
• Partner with engineering, design, and data teams to deliver AI features with guardrails, explainability, and user trust.
• Define and track success metrics such as adoption, accuracy, and workflow efficiency.

Stakeholder & Client Engagement

• Act as a translator between business stakeholders, technical teams, and clients.
• Champion progressive adoption of AI — positioning it first as an advisor, then as a trusted partner.
• Evangelize product vision and progress to executive leadership, clients, and prospects in both written and verbal formats.

Team Leadership

• Lead a globally distributed agile team with empathy and cultural intelligence.
• Support technical project managers to ensure agile ceremonies run on time, on budget, and with value across time zones; removing blockers as necessary.
• Foster alignment, accountability, and velocity across diverse teams.

Requirements & Skills:

Required

• 6+ years in Product Management, with at least 3+ in enterprise software for corporate legal or law firms.
• Proven success working with complex, legacy applications and complimenting them with modern capabilities.
• Demonstrated ability to design products that can adapt to client-specific requirements.
• Experience leading distributed, multicultural teams.
• Exceptional written and verbal communication skills; able to influence technical and non-technical stakeholders.
• A metrics-driven mindset with a track record of delivering measurable business outcomes.

Preferred

• Experience in defining or launching AI-driven product capabilities that span but are not limited to:  APIs, Text2SQL, NLP, ML, agentic frameworks, retrieval-augmented generation (RAG), intelligent document processing (IDP), and AI governance.
• Familiarity with enterprise workflows in regulated domains.
• Background in innovation initiatives where emerging technologies were applied to client-facing solutions.

What We Offer

• Opportunity to define the next generation of AI-enabled enterprise software.
• Work with a global, highly driven team at the intersection of enterprise technology and innovation.
• Competitive compensation and benefits package.
• A fully remote culture with flexible working hours across time zones.
• An environment that values both collaboration and challenge, driving the highest outcomes for clients and stakeholders.

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.