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

We are seeking a highly experienced Senior Data Scientist with strong expertise in machine learning, statistical modeling, and advanced AI techniques, including Computer Vision and Generative AI. This role is responsible for designing, developing, and deploying end-to-end data science solutions that drive measurable business impact.
The ideal candidate will combine deep technical knowledge with a hands-on approach to solving complex problems, working across the full data science lifecycle—from data exploration and feature engineering to model deployment and optimization. You will collaborate with cross-functional teams to build scalable AI systems and integrate them into production environments.

Key Responsibilities

• End-to-End Model Development: Design, develop, and deploy machine learning models, including data preprocessing, feature engineering, training, validation, and performance optimization.
• Advanced Analytics: Apply statistical and machine learning techniques (regression, classification, clustering, anomaly detection) to solve complex business challenges.
• Computer Vision Solutions: Develop and implement computer vision models (e.g., object detection, classification, segmentation) for real-world use cases.
• Generative AI & LLMs: Design and build GenAI applications using LLMs, prompt engineering, embeddings, and RAG pipelines.
• System Integration: Integrate AI/ML models into applications using APIs and backend services.
• Data Pipelines & MLOps: Collaborate with engineering teams to build scalable data pipelines and deploy models using modern MLOps practices.
• Code & Best Practices: Write high-quality, modular, and production-ready code using Python and SQL.
• Stakeholder Communication: Translate complex technical findings into actionable insights through clear visualizations and reporting.
• Collaboration & Leadership: Work closely with data engineers, developers, and business stakeholders, and mentor junior team members.

Required Qualifications

• 5+ years of experience in Data Science, Machine Learning, or AI-related roles.
• Strong proficiency in Python and experience with SQL for large-scale data analysis.
• Hands-on experience building and deploying ML models using frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Practical experience developing and deploying computer vision models (e.g., object detection, image classification, segmentation).
• Hands-on experience with LLMs, prompt engineering, embeddings, and RAG-based architectures.
• Familiarity with data processing or streaming pipelines (e.g., Apache Beam, Google Cloud Dataflow, Spark or similar frameworks).
• Experience working with REST APIs and integrating models into production systems.
• Strong analytical and communication skills with English proficiency (B2+ or higher).

Preferred Qualifications

• Experience with cloud platforms (GCP, AWS, or Azure) and MLOps tools (Docker, Kubernetes, MLflow).
• Familiarity with GenAI frameworks (LangChain, LlamaIndex, ADK).
• Experience working in Agile environments and using version control (Git).
• Exposure to real-time or streaming data pipelines.
• Experience mentoring junior team members or leading technical initiatives.

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

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

Marina Molina

#LI-MM3

Why this role matters:

We are looking for a Data Scientist who speaks the language of both data and AI - and knows how to make them work together. You will serve as the critical bridge between our Snowflake data platform and the AI-powered systems that drive our marketing and go-to-market motions. Your work will ensure that our data is shaped, structured, and ready to power the next generation of agentic AI applications, enabling autonomous, intelligent systems that act on behalf of our teams and customers.

Your key responsibilities:

• Collaborate closely with the Snowflake engineering team to define, spec, and validate data requirements for models and AI applications
• Serve as the translation layer between data engineering and AI/ML teams, ensuring data is structured, clean, and optimized for downstream use
• Enable and support agentic AI workflows by designing and maintaining the data layers that power agent memory, context retrieval, and tool-use
• Build and maintain data models and transformation logic on top of Snowflake to support predictive and generative AI use cases
• Identify and resolve data quality issues in collaboration with the engineering team
• Partner with marketing science and analytics teams to ensure data assets are accessible and model-ready
• Automate and streamline data validation processes to improve reliability of AI-facing data pipelines

What you'll bring:

• Deep fluency in Snowflake - comfortable living in it daily as a power user, and confident enough to hold technical conversations with Snowflake engineers
• A strong understanding of how data must be structured and governed to reliably power AI and machine learning systems
• The ability to translate business and modeling needs into precise, actionable data requirements for engineering teams
• A collaborative mindset with the ability to operate effectively across data engineering, AI, and marketing science functions
• A proactive, self-starter approach capable of navigating ambiguous data environments and proposing pragmatic solutions

Required:

• 8 years of experience in Data Science or a data engineering-adjacent role
• Advanced proficiency in Python and SQL
• Deep expertise in Snowflake - including data modeling, Snowpark, and advanced querying
• Approximately 2 years of hands-on experience powering agentic AI workflows with data (e.g., RAG pipelines, structured data for LLM tool-calling, agent memory and context layers)
• Familiarity with vector databases or embedding-based retrieval systems (e.g., Pinecone, Weaviate, pgvector)
• Experience collaborating with or working closely alongside data engineering teams
• Familiarity with cloud data platforms (AWS, GCP, or Azure)

Tools & Technologies:

• Snowflake - Snowpark, dynamic tables, advanced SQL querying, data modeling
• Python - pandas, NumPy, SQLAlchemy, Jupyter
• LLM & Agentic AI Frameworks - LangChain, LlamaIndex, AutoGen, or similar
• Vector Databases - Pinecone, Weaviate, pgvector, or Chroma
• Cloud Platforms - AWS (S3, Lambda, SageMaker), GCP (BigQuery, Vertex AI), or Azure equivalents
• Orchestration & Pipeline Tools - dbt, Apache Airflow, or Prefect (as a collaborator/power user)
• Version Control - Git/GitHub or GitLab
• Data Quality & Observability - Monte Carlo, Great Expectations, or similar
• API & Integration Tools - REST APIs, Webhooks, JSON/YAML fluency for connecting data to AI systems

What we consider a plus:

• Experience with orchestration tools such as dbt, Airflow, or similar
• Exposure to marketing data ecosystems (CDP platforms, ad platform data structures)
• Experience in a B2B SaaS environment
• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, or Data Engineering

#LI-JS3

Disclaimer: The posted range represents the good faith salary for this role at the time of posting. Final compensation is determined by factors including (but not limited to) geographic location, relevant experience, specific skill sets, and internal equity.

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

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.

Company Background

Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.

Project Description

We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.

Technologies

• Azure ecosystem
• Azure DevOps
• GCP / AWS
• Infrastructure as Code: Bicep
• Windows Server
• Microsoft SQL Server

What You'll Do

• Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
• Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
• Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
• Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
• Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
• Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
• Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
• Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
• Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
• Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;

Job Requirements

• 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
• Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
• Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
• Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
• Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
• Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
• Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
• Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
• English level: B2 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.

The Role:

We are seeking a Senior (Or Lead) Software Engineer to join our team. In this role, you will be responsible for designing, building, and operating scalable backend systems, delivering clean and performant code, and contributing to the architectural direction of the platform. You will collaborate closely with other engineers and cross-functional partners to build reliable services, improve development tooling, and support high-quality software delivery while mentoring teammates and promoting engineering best practices.

Key Responsibilities:

• Develop and deliver clean, maintainable, performant code
• Help define the architectural strategy for the systems you own and contribute to architectural vision for the platform at large
• Review code and provide feedback on technical work on the team
• Build services and tooling to streamline the development process
• Mentor and coach less experienced engineers on the team
• Help define standards and best practices on your team for testing, software delivery, observability, contract definition, and so on
• Participate in sprint-related meetings such as standup, grooming, retrospective, and roadmap replenishment
• Encourage a culture of experimentation, prototyping and brainstorming across technical teams

Qualifications & Experience:

• 5+ years of experience as a software engineer, building and operating production systems at scale
• Strong proficiency in Java (Python or similar languages) and database technologies
• Experience integrating AI/ML capabilities (e.g., LLMs, recommendation systems, intelligent automation) into production backend systems is a strong plus.
• Strong analytical and troubleshooting skills
• You love to design, build, and operate domain-driven backend systems at scale
• You’ve worked in agile-ish systems, kanban systems, and more importantly hybrid systems
• You’re good at demystifying complex technical concepts for laymen and love to simplify complex ideas for curious teammates
• Automation has become a core value for you, and your systems can operate in production for long periods without human intervention
• You already can’t live without continuous delivery and know how to drive towards small, frequent deployments
• You know how to tune up observability up and down the stack

Nice to have:

• Experience with ecommerce is a big plus
• Bachelor’s degree in computer science or a related field is preferred 

What we offer:

• Fully remote engagement across Mexico.
• Opportunity to work on high-impact client systems with real operational ownership.

Employment type:

• Contract

As a member of our operations team, you will be accountable for driving revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, Engineers and many others. 

You will be solving complex operational problems and must have a high sense of grit and ownership to ensure that our projects maintain the highest quality standards. You will also work closely with our contributor base and find elegant ways to balance customer needs with the contributor experience. The ideal candidate is scrappy, analytical, technically savvy, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results.

You will:

• Build and drive some of our most critical operational processes
• Own the day-to-day delivery of customer commitments
• Conduct data analysis in a structured way
• Create an effective feedback loop between the front line, product, strategy, and customers
• Collaborate with business and technical stakeholders to improve processes for new and existing customers

Qualifications 

• An undergraduate degree with graduation year of Fall 2024 or Spring 2025 (STEM or Business degrees preferred)
• Strong writing and verbal communication skills, with an emphasis on grammar, proofreading and copy editing
• An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
• Analytical, planning, and process improvement capabilities
• Experience working in a fast-paced, entrepreneurial environment

Nice to haves:

• Previous engineering, product, operations, consulting internships
• Technical skills including familiarity with APIs, large language models, machine learning, and querying languages like SQL
  
  

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

We are seeking a highly motivated and customer-facing Solutions Consultant/Sales Engineer to support our growth across Latin America. This role will partner closely with Sales, Product, and Customer Success teams to drive technical discovery, solution design, technical scoping, and business value for enterprise merchants in the payments and fraud prevention space. The ideal candidate has deep knowledge of ecommerce, payments, fraud/risk management, and can effectively communicate technical concepts in both English and Spanish.

What You'll Doing

• Partner with Account Executives to support the full sales cycle from discovery through close and internal technical handover to implementation teams.
• Lead technical discovery sessions to understand client payment flows, fraud challenges, and business KPIs
• Design and present tailored solutions, including
• Fraud detection strategies (machine learning, risk scoring, policy creation)
• Payment orchestration and optimization
• Deliver compelling product demos, support Proof of Value/Proof of Concepts, and technical presentations
• Translate customer requirements into technical specifications for internal teams
• Act as a trusted advisor to prospects on:
  • Fraud prevention best practices
  • Chargeback mitigation strategies
  • Payment authorization optimization
• Support RFP/RFI responses and technical documentation
• Collaborate with Product and Engineering teams to provide feedback from prospects/existing customers.
• Assist with onboarding handoff to implementation/customer success teams
  
  

Qualifications

• 5+ years of experience in solutions consulting/sales engineering/pre-sales OR Fraud/Risk/Payments roles with client facing exposure required
• Fluent in English and Spanish required, fluency in Portuguese a plus 
• Strong domain expertise in Ecommerce platforms and payment ecosystems (gateways, PSPs, acquirers, issuers), fraud prevention (chargebacks, dispute management, risk signals, AI/ML models) required
• Experience working with, APIs and basic systems integrations
• Proven ability to present to both technical and business stakeholders
• Experience working with fraud prevention SaaS providers preffered
• Experience supporting enterprise or mid-market accounts preferred
• Background in data analysis/ROI (BI tools, SQL, etc.) preferred
• Prior experience supporting LATAM markets 
• Ability to travel as needed for conferences/prospects meetings 

Please submit your CV/resume in English 

In the News

Reuters: General Atlantic-backed Riskified valued at $4.3 bln in NYSE debut

Fortune Magazine: Riskified named Best Workplaces in New York for 2022

The Muse: Q&A with Sales Enablement Manager Benedikt Parstorfer

Globes: Riskified is among Israel’s fastest growing companies 

TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site

CTech: Riskified’s VP HR on Post-COVID Flexible Work Routines

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

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

We are seeking a highly skilled Machine Learning Engineer with strong experience in Supply Chain, Transportation, and Delivery Analytics to support the design and development of predictive transportation delivery models. This role will focus on translating complex operational processes into scalable machine learning solutions that improve delivery efficiency, forecasting accuracy, and business decision-making.
The ideal candidate combines deep Data Science expertise with practical ML Engineering capabilities, including model experimentation, feature engineering, and production deployment using Google Vertex AI.

Key Responsibilities

🔹 Machine Learning Model Development

• Design, train, test, and optimize machine learning models focused on transportation and delivery use cases.
• Develop predictive models primarily using XGBoost and related ML techniques.
• Perform feature engineering, feature selection, and experiment design to improve model performance and business outcomes.
• Evaluate model accuracy, robustness, and operational impact using appropriate statistical and ML metrics.

🔹 Supply Chain & Transportation Analytics

• Analyze transportation and logistics workflows to identify optimization opportunities.
• Collaborate with business stakeholders to understand operational processes, delivery constraints, and performance drivers.
• Translate business requirements into scalable data science and ML solutions.

🔹 Data Exploration & Engineering

• Conduct exploratory data analysis (EDA) on large operational and logistics datasets.
• Partner with data engineering teams to ensure reliable data ingestion, transformation, and feature availability.
• Ensure data quality, consistency, and readiness for model development.

🔹 ML Engineering & Deployment

• Deploy and operationalize ML models using Google Vertex AI.
• Support the implementation of scalable ML pipelines and MLOps best practices.
• Collaborate with engineering teams to integrate models into production systems and business workflows.

🔹 Collaboration & Leadership

• Work closely with cross-functional teams including Supply Chain, Operations, Data Engineering, and Product teams.
• Provide technical guidance on model design, experimentation, and deployment strategies.
• Document methodologies, findings, and implementation approaches clearly for both technical and business audiences.

Required Qualifications

• 7+ years of experience in Machine Learning, Data Science, or Advanced Analytics roles.
• Strong hands-on experience building predictive models using XGBoost or similar gradient boosting frameworks.
• Experience in Supply Chain, Transportation, Logistics, or Delivery Analytics.
• Strong expertise in:
  o Data exploration and feature engineering
  o Experiment design and model evaluation
  o Statistical analysis and predictive modeling
• Proficiency in Python and SQL for ML development and data analysis.
• Experience deploying ML solutions using Google Vertex AI or similar cloud ML platforms.
• Strong understanding of the end-to-end ML lifecycle and MLOps concepts.
• Ability to communicate effectively with both technical and business stakeholders.
• Familiarity with cloud platforms such as GCP, AWS, or Azure.
• English – Advanced (required).

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

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

Marina Molina

#LI-MM3

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

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

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

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

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

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

About the Team

The Quality Assurance team drives customer support insights to both our internal & BPO partner stakeholders, utilizing our quality assurance audit data as well as exciting new technologies in Conversational Intelligence AI. The team’s primary role will be to establish mechanisms to ensure our quality audits consistently provide insights that drive process improvements in our support experience.

About the Role

As a Senior Associate, Calibration Insights Analyst, you’ll be a key architect of calibration excellence across DoorDash Support. You will lead analytical deep dives to identify root causes of quality misalignment, investigate edge cases, and surface systemic opportunities to improve how our GenAI-powered QA systems operate.

You’ll collaborate closely with Model Calibration Specialists, the Performance Excellence team, and stakeholders across CXI to implement projects that improve agent performance, policy alignment, and customer outcomes. You’ll help maintain trust in our machine learning model’s QA outputs by ensuring our quality signals are precise, fair, and strategically useful.

This role requires comfort working with GPT/LLM-based systems and the ability to turn raw calibration data into insights that influence our long-term QA strategy.

You will report to the Supervisor Model Calibration Team (MCT) in our CXI QA organization. This role is hybrid and will require an in-office presence, typically 1 day per week, or as the business needs dictate.

You're excited about this opportunity because you will…

• Develop deep expertise in DoorDash’s QA systems and operational processes to guide meaningful calibration and KPI improvements across multiple lines of business.
• Assist with cross-functional projects by establishing success metrics, coordinating stakeholders, removing blockers, and clearly communicating progress toward goals.
• Conduct deep dives & root cause analyses (RCAs) on failure patterns, reversals, and edge cases to uncover inaccuracy trends/drivers.
• Create data models and dashboards to track calibration metrics, auditor accuracy, and sentiment/resolution trends.
• Partner with the Performance Excellence team and Support Operations stakeholders to translate calibration insights into QA strategy improvements.

We're excited about you because… 

• You have a Bachelor’s degree or equivalent experience.
• You bring 4+ years in support operations, QA, trust & safety, or a similar customer-facing analytical role.
• You can communicate with customers, cross-functional partners, and senior leaders effectively.
• You enjoy the opportunity to think outside of the box. You can translate goals and blockers into relevant plans for the department. 
• Produce recommendations and use data analysis and hypothesis testing to validate your findings. 
• You’re passionate about identifying opportunities through operating at the lowest level of detail and using a first-principles approach to problem-solving.
• You're proficient in Microsoft and/or Google Suite.
• You have experience working with Conversational Intelligence, GPT-based tools, or QA signal models.

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

Location: Remote - (Mexico)

How You'll Make an Impact:

As a Sales Manager (Account Executive), you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

Our Sales Team:
The Sales team is driven by the opportunity to build strong relationships, solve customer challenges, and drive business growth.

People who excel on our team are goal-oriented, adaptable, and effective at delivering results, and passionate about spreading all the innovation behind our product to different types of customers.

What makes us special is our ability to stay connected and motivated, no matter where we are. Through open communication, teamwork, and a shared commitment to success, we support each other and celebrate wins together—because when one of us succeeds, we all do.

What You Bring to the Team:

• Ability to meet and exceed aggressive sales goals.
• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise

What Sets You Up for Success:

• Experience in selling technology solutions into the hotel or hospitality industry. This is a MUST-HAVE.
• A self-motivated, results-oriented mindset with a passion for business development.
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.
• Fluent English is a MUST HAVE.

Bonus Skills to Stand Out (Optional):

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging operations

#LI-LP1

Location: Remote - (Mexico)

How You'll Make an Impact:

As a Sales Manager (Account Executive), you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

Our Sales Team:
The Sales team is driven by the opportunity to build strong relationships, solve customer challenges, and drive business growth.

People who excel on our team are goal-oriented, adaptable, and effective at delivering results, and passionate about spreading all the innovation behind our product to different types of customers.

What makes us special is our ability to stay connected and motivated, no matter where we are. Through open communication, teamwork, and a shared commitment to success, we support each other and celebrate wins together—because when one of us succeeds, we all do.

What You Bring to the Team:

• Ability to meet and exceed aggressive sales goals.
• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise

What Sets You Up for Success:

• Experience in selling technology solutions into the hotel or hospitality industry. This is a MUST-HAVE.
• A self-motivated, results-oriented mindset with a passion for business development.
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.
• Fluent English is a MUST HAVE.

Bonus Skills to Stand Out (Optional):

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging operations

#LI-LP1

Location: Remote - (Mexico)

How You'll Make an Impact:

As a Sales Manager (Account Executive), you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

Our Sales Team:
The Sales team is driven by the opportunity to build strong relationships, solve customer challenges, and drive business growth.

People who excel on our team are goal-oriented, adaptable, and effective at delivering results, and passionate about spreading all the innovation behind our product to different types of customers.

What makes us special is our ability to stay connected and motivated, no matter where we are. Through open communication, teamwork, and a shared commitment to success, we support each other and celebrate wins together—because when one of us succeeds, we all do.

What You Bring to the Team:

• Ability to meet and exceed aggressive sales goals.
• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise

What Sets You Up for Success:

• Experience in selling technology solutions into the hotel or hospitality industry. This is a MUST-HAVE.
• A self-motivated, results-oriented mindset with a passion for business development.
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.
• Fluent English is a MUST HAVE.

Bonus Skills to Stand Out (Optional):

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging operations

#LI-LP1

Location: Remote - (Mexico)

How You'll Make an Impact:

As a Sales Manager (Account Executive), you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

Our Sales Team:
The Sales team is driven by the opportunity to build strong relationships, solve customer challenges, and drive business growth.

People who excel on our team are goal-oriented, adaptable, and effective at delivering results, and passionate about spreading all the innovation behind our product to different types of customers.

What makes us special is our ability to stay connected and motivated, no matter where we are. Through open communication, teamwork, and a shared commitment to success, we support each other and celebrate wins together—because when one of us succeeds, we all do.

What You Bring to the Team:

• Ability to meet and exceed aggressive sales goals.
• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise

What Sets You Up for Success:

• Experience in selling technology solutions into the hotel or hospitality industry. This is a MUST-HAVE.
• A self-motivated, results-oriented mindset with a passion for business development.
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.
• Fluent English is a MUST HAVE.

Bonus Skills to Stand Out (Optional):

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging operations

#LI-LP1

Location: Remote - (Mexico)

How You'll Make an Impact:

As a Sales Manager (Account Executive), you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

Our Sales Team:
The Sales team is driven by the opportunity to build strong relationships, solve customer challenges, and drive business growth.

People who excel on our team are goal-oriented, adaptable, and effective at delivering results, and passionate about spreading all the innovation behind our product to different types of customers.

What makes us special is our ability to stay connected and motivated, no matter where we are. Through open communication, teamwork, and a shared commitment to success, we support each other and celebrate wins together—because when one of us succeeds, we all do.

What You Bring to the Team:

• Ability to meet and exceed aggressive sales goals.
• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise

What Sets You Up for Success:

• Experience in selling technology solutions into the hotel or hospitality industry. This is a MUST-HAVE.
• A self-motivated, results-oriented mindset with a passion for business development.
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.
• Fluent English is a MUST HAVE.

Bonus Skills to Stand Out (Optional):

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging operations

#LI-LP1

Location: Remote - (Mexico)

How You'll Make an Impact:

As a Sales Manager (Account Executive), you'll play a pivotal role in expanding Cloudbeds' presence. You will be responsible for identifying and acquiring new business opportunities, building strong relationships with prospects, and showcasing how Cloudbeds’ industry-leading SaaS solutions are transforming the hospitality space. This is a hunting role focused on acquiring new clients.

Our Sales Team:
The Sales team is driven by the opportunity to build strong relationships, solve customer challenges, and drive business growth.

People who excel on our team are goal-oriented, adaptable, and effective at delivering results, and passionate about spreading all the innovation behind our product to different types of customers.

What makes us special is our ability to stay connected and motivated, no matter where we are. Through open communication, teamwork, and a shared commitment to success, we support each other and celebrate wins together—because when one of us succeeds, we all do.

What You Bring to the Team:

• Ability to meet and exceed aggressive sales goals.
• Assess market trends and opportunities in your assigned territory to identify and engage new prospects.
• Prepare targeted lead lists and engage in proactive outreach, including a high volume of cold-calling, to drive sales.
• Identify and communicate potential partnership opportunities to our Partnerships team to strengthen Cloudbeds’ market position. 
• Deliver impactful product demonstrations, both virtually and in person, to highlight how Cloudbeds can solve key challenges for hospitality businesses.
• Attend local events and visit properties to connect with potential customers (less than 10% travel required).
• Serve as the face of Cloudbeds in your local market, representing the brand with confidence and expertise

What Sets You Up for Success:

• Experience in selling technology solutions into the hotel or hospitality industry. This is a MUST-HAVE.
• A self-motivated, results-oriented mindset with a passion for business development.
• Excitement for new technology with a strong technical aptitude.
• Proven expertise in outbound sales strategies, especially cold-calling and network building.
• Excellent communication skills, with the ability to inspire and persuade potential clients.
• Demonstrated sales and negotiation skills, with a history of exceeding targets.
• Strong organizational and time-management abilities.
• A willingness to challenge the status quo and think outside the box to drive success.
• Fluent English is a MUST HAVE.

Bonus Skills to Stand Out (Optional):

• Good knowledge of PMS technology
• Multilingual capabilities.
• Experience in the hospitality or lodging operations

#LI-LP1

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

We are seeking a highly skilled and self-driven Salesforce Developer to join our team. In this role, you will independently architect and deliver complex Salesforce solutions across LWC, Apex, and declarative tooling while collaborating closely with IT Leads to ship production-ready features every two-week sprint. You will play a key role in shaping our DevOps practices and platform integration strategy.

Key responsibilities:

• Design, develop, and maintain complex Lightning Web Components (LWC) following best practices for performance, accessibility, and reusability.
• Write robust, well-tested Apex classes, triggers, batch jobs, and REST/SOAP integrations.
• Build and optimize declarative solutions using Salesforce Flow, Process Builder, Validation Rules, and Custom Metadata.
• Collaborate with IT Leads to decompose requirements into sprint-ready stories and deliver high-quality features on a 2-week cadence.
• Own end-to-end delivery of assigned modules — from technical design through deployment and post-go-live support.
• Manage Salesforce DevOps pipelines including source control, CI/CD, environment management, and release coordination.
• Champion code quality through peer code reviews, unit testing (Apex test classes ≥ 85% coverage), and adherence to governor limits.
• Contribute to technical documentation including design specs, deployment runbooks, and developer guidelines.
• Identify and resolve performance bottlenecks, security vulnerabilities, and technical debt proactively.

Required Qualifications:

Salesforce Development

• 4+ years of hands-on Salesforce development experience in enterprise environments.
• Strong proficiency in Lightning Web Components (LWC) including custom events, wire service, and platform events.
• Advanced Apex development: OOP design patterns, asynchronous processing (Batch, Queueable, Scheduled), SOQL/SOSL optimization.
• Deep experience with Salesforce declarative tools: Flow Builder, Approval Processes, Custom Objects, Validation Rules, Permission Sets.
• Solid understanding of Salesforce security model: profiles, permission sets, sharing rules, field-level security.
• Ability to independently analyse requirements and deliver full-stack Salesforce solutions without day-to-day supervision.

Agile & Collaboration

• Proven track record of delivering features within 2-week Agile/Scrum sprints.
• Strong communication skills to collaborate effectively with IT Leads, architects, and business stakeholders.
• Experience working with tools like Jira, Confluence, or equivalent for sprint planning and documentation.

PREFERRED QUALIFICATIONS (NICE-TO-HAVE)
Salesforce DevOps

• Experience with Salesforce DevOps tools such as Copado, Gearset, or Flosum for CI/CD pipeline management.
• Familiarity with SFDX / Salesforce CLI, Git-based source control workflows (GitHub, GitLab, Bitbucket), and scratch org development.
• Understanding of environment branching strategies, change set vs. metadata API deployments, and rollback procedures.

GCP & Integration (Huge Plus)

• Hands-on experience integrating Salesforce with Google Cloud Platform (GCP) services.
• Familiarity with GCP Agent Development Kit (ADK) or AI/ML APIs (Vertex AI, Dialogflow) and surfacing them within Salesforce.
• Experience with event-driven integration patterns using Pub/Sub, Cloud Pub/Sub, or Salesforce Platform Events.
• Knowledge of REST/GraphQL API design and OAuth 2.0 flows for secure Salesforce ↔ GCP connectivity.

Certifications (Advantageous)

• Salesforce Certified Platform Developer I or II
• Salesforce Certified JavaScript Developer I
• Salesforce Certified DevOps Engineer
• Google Cloud Associate Cloud Engineer or Professional Cloud Architect

We offer:

• Professional growth

• Dynamic work environment

• Competitive salary

• Attractive benefits plan

• Benefits of law and superiors

• Development opportunities

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

Marina Molina 

#LI-MM3

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Semi Senior Machine Learning Engineer, you will play a key role during the early stages of AI/ML product development, focusing on building reliable ML pipelines, improving deployment processes, and ensuring engineering best practices across the machine learning lifecycle.

You will collaborate closely with Data Scientists, Cloud Engineers, and Software Engineers to industrialize ML solutions, optimize workflows, and support scalable AI deployments in cloud-native environments.

• Design, implement, and maintain scalable Machine Learning pipelines using tools such as Kubeflow, Airflow, and MLflow.
• Support the deployment, monitoring, and optimization of ML models in cloud environments.
• Build production-grade Python services and reusable ML engineering components.
• Containerize and orchestrate ML workloads using Docker and Kubernetes.
• Collaborate with data science teams to transition experiments into robust production solutions.
• Improve CI/CD workflows for ML applications using GitLab CI, Jenkins, Azure Repos, and Git-based development practices.
• Optimize and refactor codebases to improve scalability, maintainability, and performance.
• Ensure security, reliability, and software engineering best practices are applied across ML systems.
• Participate in infrastructure setup and automation for AI platforms on AWS SageMaker and/or GCP AI Platform.
• Contribute to technical documentation, architecture discussions, and continuous improvement initiatives.
• Work within agile and collaborative international teams in an AI-first engineering environment.

Who You Are

• 3+ years of experience in Machine Learning Engineering, MLOps, or Software Engineering roles focused on AI products.
• Strong hands-on experience with Python for production environments.
• Experience implementing ML pipelines using tools such as Kubeflow, Airflow, or MLflow.
• Good understanding of containerization and orchestration technologies (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and version control practices using GitLab CI, Jenkins, Git, or Azure Repos.
• Experience optimizing, refactoring, and maintaining scalable codebases.
• Understanding of software engineering best practices, code quality, and application security principles.
• Exposure to cloud-based ML deployment services such as AWS SageMaker or GCP AI Platform.
• Experience working in agile development environments.
• Strong communication and collaboration skills in multidisciplinary teams.
• Intermediate to advanced English level required for international collaboration.

Nice to Have

• Experience with Infrastructure as Code tools.
• Familiarity with model monitoring and observability tools.
• Knowledge of feature stores and data versioning solutions.
• Exposure to Generative AI or LLMOps ecosystems.
• Experience working in consulting or fast-paced product environments.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Deliver projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits:

Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Data Scientist, you will transform processed and structured data into predictive and actionable insights that generate measurable business impact. You will collaborate closely with Data Engineers, AI teams, Product Owners, and business stakeholders to design scalable analytical solutions aligned with strategic objectives.

We are looking for analytical leaders capable of combining statistical rigor, business understanding, and AI-driven innovation to solve complex problems through advanced machine learning models and data-driven decision-making.

Key Responsibilities

• Develop, train, validate, and optimize Machine Learning and predictive models for business use cases.
• Perform advanced exploratory data analysis (EDA) to identify trends, anomalies, and strategic opportunities.
• Design and implement feature engineering strategies to improve model performance and scalability.
• Build scalable analytical pipelines using Python, R, and PySpark in Big Data environments.
• Collaborate with Data Engineers to leverage high-quality and production-ready datasets.
• Deploy, monitor, and validate Machine Learning models in production environments.
• Translate complex analytical findings into actionable recommendations for technical and non-technical stakeholders.
• Create dashboards and visual storytelling using Tableau, Power BI, matplotlib, and seaborn.
• Continuously improve model performance through experimentation, retraining, and monitoring.
• Apply statistical methodologies and AI best practices to ensure robust and reliable outcomes.
• Contribute to AI-first development practices leveraging modern GenAI tools and collaborative delivery models.
• Mentor junior team members and contribute to the evolution of data science best practices within the organization.

Who You Are

Must Have

• 3+ years of experience for Semi Senior profiles / 5+ years for Senior profiles in Data Science, Machine Learning, or Advanced Analytics.
• Strong programming skills in Python and/or R.
• Experience working with PySpark and Big Data Analytics ecosystems.
• Hands-on experience with Machine Learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Solid knowledge of statistics, predictive modeling, and hypothesis testing.
• Expertise in Exploratory Data Analysis (EDA) and Feature Engineering techniques.
• Experience deploying and validating Machine Learning models in production environments.
• Knowledge of data visualization tools such as Tableau, Power BI, matplotlib, or seaborn.
• Strong problem-solving and analytical thinking capabilities.
• Ability to communicate technical concepts clearly to business stakeholders.
• Advanced English communication skills.

Nice to Have

• Experience working in cloud environments (AWS, Azure, or GCP).
• Familiarity with MLOps and CI/CD practices for Machine Learning.
• Experience with NLP, Generative AI, or LLM-based applications.
• Knowledge of data governance and responsible AI practices.
• Exposure to Agile/Scrum environments and cross-functional teams.
• Experience mentoring or leading technical initiatives.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Deliver projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

For more on our team culture and benefits:

Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

Scopely is looking for a Senior Business Operations Manager - Live Games to join our Live Games Portfolio Team in Mexico City on a Hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

What You Will Do

As a Senior Business Operations Manager, you will drive strategic programs and operational excellence across Scopely’s Live Games portfolio. This role sits at the center of a highly cross-functional ecosystem, partnering with Central Tech (Playgami), Live Ops Automation, Marketing, Product, and other key stakeholders to deliver scalable, high-impact initiatives. This role is the operational bridge between our game teams and central teams.

You will own the orchestration and execution of critical programs—including Direct-to-Consumer (D2C) initiatives—while also leading broader business operations efforts that enable our game teams to operate more efficiently, innovate faster, share knowledge, and maximize player impact. This is a highly visible role requiring strong leadership, operational rigor, and the ability to align diverse teams around shared goals.

• Own and drive the strategic program roadmap across Live Games, spanning D2C initiatives, Central Tech (Playgami), Live Ops Automation, Marketing, Product, and Knowledge Sharing
• Lead cross-functional program execution, ensuring alignment on priorities, timelines, dependencies, and outcomes across multiple teams and regions
• Build and maintain integrated operational plans (e.g., JIRA, Airtable, or equivalent) to track progress across complex, concurrent initiatives
• Partner with Playgami and Central Tech teams to align on platform capabilities, roadmaps, and rollout strategies impacting Live Games
• Drive initiatives that improve Live Ops efficiency, including automation, ML/AI tooling, and process optimization across the portfolio
• Collaborate with Marketing and Product teams to ensure cohesive planning and execution of key initiatives and campaigns
• Establish and scale knowledge-sharing frameworks, enabling best practice adoption and operational consistency across game teams
• Identify, track, and resolve risks, blockers, and interdependencies across programs
• Lead executive-level reporting, delivering clear, actionable insights on program status, risks, and opportunities
• Facilitate key forums (e.g., business reviews, program updates, deep dives) to drive alignment and decision-making
• Build high trust and productive relationships across game teams & central teams 
• Continuously improve business operations processes, tools, and governance frameworks to scale impact across the Live Games portfolio

What We’re Looking For

• 8+ years of experience in consulting, banking, business operations, program management, or product operations in a complex, cross-functional environment
• Proven track record of leading large-scale, multi-stakeholder programs across global teams
• Experience working within free-to-play gaming (preferred)
• Exceptional stakeholder management and communication skills, with experience presenting to executive leadership
• Highly organized with strong attention to detail and the ability to manage multiple priorities simultaneously
• Strategic thinker with a hands-on approach and a bias for action
• Strong problem-solving skills with the ability to navigate ambiguity and drive outcomes
• Analytical thinker with experience analyzing and reporting on data & KPIs (Free-to-play KPI expertise a plus)
• Passionate gamer (mobile free-to-play a plus)

Bonus Points

• Experience with Live Ops, game publishing, or live service ecosystems
• Familiarity with automation tools, workflow optimization, or operational scaling initiatives
• Experience working with Central Tech or platform teams (e.g., payments, identity, CRM systems)
• Strong understanding of D2C, mobile gaming, platform ecosystems, and live game operations 
• Experience leveraging AI tools to drive business process & project management

Please ensure that the résumé/CV you attach is written in English.

Job Description

We’re building scalable, data-driven product systems and looking for a Lead Software Developer with strong engineering skills and a track record of designing and delivering complex, production-grade systems. You’ll lead the design and delivery of critical product components, collaborate closely with technical leads and senior stakeholders, and play a key role in driving technical quality, scalability, and engineering standards across a core product area.

Overview

• Own critical components end-to-end and deliver measurable improvements in system quality, scalability, and reliability. You operate independently, drive design decisions, and elevate engineering standards through technical leadership and mentorship.

What you’ll do

• Own delivery for significant features or systems: clarify requirements, design solutions, execute, ship, and iterate.
• Design and build scalable backend services, APIs, and data pipelines that support core product functionality.
• Drive system design decisions, balancing scalability, performance, reliability, and cost.
• Define how quality is measured for your area (success metrics, testing strategy, observability) and automate it wherever possible.
• Lead structured experimentation: define hypotheses, evaluate results, and translate insights into product and system improvements.
• Improve operational readiness: deployment automation, monitoring/alerting, incident response, and performance optimization.
• Mentor engineers through design reviews, code reviews, and hands-on technical guidance.
• Influence engineering best practices, architecture decisions, and long-term technical direction.

Engineering Expectations

• Strong system design skills with the ability to break down ambiguous problems into scalable technical solutions.
• Ability to evaluate new technologies, tools, and approaches, and recommend solutions based on trade-offs, impact, and ROI.
• Builds systems that are secure, reliable, and compliant by design, partnering with cross-functional teams when needed.
• Drives technical alignment across teams and contributes to improving engineering standards and processes.

How we work

• We balance exploration with delivery — test ideas quickly, then productionize what works.
• “Done” means quality goals are met, followed by continuous improvement in scalability, performance, and reliability.
• The team owns systems end-to-end (build, release, reliability).

Years of experience

• Overall: 6+ years in software engineering
• Relevant: 3+ years building and shipping production systems in product teams
• Technical (hands-on coding): 5+ years

Required skills & knowledge

• Strong software engineering fundamentals and advanced system design experience
• Hands-on coding in Python and/or TypeScript (or similar), building APIs, services, and data pipelines
• Experience designing and scaling distributed systems in production environments
• Strong experience with cloud platforms (AWS, GCP, or Azure), CI/CD, automated testing, and observability
• Proven ability to own systems end-to-end, from design through production and iteration
• Experience working in fast-paced, ambiguous environments with evolving requirements
• Strong experimentation mindset: define metrics, build evaluation approaches, and iterate quickly

Desired (nice to have)

• Experience building data-driven or ML-enabled systems
• Familiarity with experimentation frameworks, A/B testing, or performance optimization
• Experience with event-driven architectures, streaming systems, or large-scale data processing
• Exposure to modern AI tools or integrations (not required)
• Contributions to open source, technical blogs, or conference talks

Education

• Bachelor’s in Computer Science, Engineering, or related field (or equivalent practical experience)

At Snorkel AI, we are pioneering new approaches to data development. Are you driven by solving challenging problems and delivering exceptional results? Snorkel AI is seeking a Delivery Operations Manager. As a Delivery Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact.

You’re Excited About This Opportunity Because You Will:

• Collaborate with Technical Delivery Manager to meet project timelines, deliverables, and quality standards.
• Engage with Expert Contributors to ensure high-quality datasets are delivered to customers.
• Conduct quality reviews to maintain data annotation accuracy and consistency.
• Monitor pipeline health and implement proactive solutions to prevent bottlenecks.
• Track project progress and performance through data analysis and reporting.
• Develop documentation for labeling guidelines and operational processes.
• Partner with stakeholders across teams to resolve blockers and sustain production efficiency.
• Provide regular updates to stakeholders on progress and key insights.

We’re Excited About You Because You Have:

• Proficiency with Google Workspace tools and strong data analysis skills.
• A proactive, results-driven mindset with creative problem-solving abilities.
• Adaptability to excel in a fast-paced, dynamic environment.
• Excellent written and verbal communication skills in English.
• Experience working with technical and non-technical stakeholders.
• The ability to work independently and collaboratively in a remote setting.

Bonus Points For:

• Familiarity with data annotation pipelines and machine learning workflows.
• Experience with SQL or other database languages.
• Strong analytical and process improvement capabilities.
• A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics.

Pay Transparency Notice: Depending on your work location in the United States, the target annual salary for this position can range as detailed below. 

Pay Range: $100,000-$150,000.

Pay Transparency Notice: In Mexico, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. To support global hiring, this role will be employed through our Employer of Record partner. You will be a full-time Snorkel employee, fully integrated into our team and culture.

Pay Range: $3,000-$5,000 per month (USD)

We're on the search for a superstar Regional Sales Manager. You will be responsible for building, driving, and managing the LATAM Sales team to deliver above quota sales performance.

What You Will Do: 

• Manage all aspects of the LATAM sales cycle
• Execute individual and team sales plans to exceed quotas
• Manage and ensure adherence to the Cloudbeds Sales Process methodology
• Leverage alternate channels to build sales volume
• Ensure a high level of customer renewal rates
• Manage expenses within company guidelines

You’ll Succeed With: 

• Experience in leading sales teams with an emphasis on coaching and development
• Proven track record leading a remote team 
• Successful track record in selling hospitality management software 
• Exceptional communication and listening skills, the ability to establish rapport and credibility, and clearly articulate a value proposition 
• Exceptional presentation skills; the ability to effectively and energetically present to customers, peers, and leadership
• Ability to optimize the sales tactics as necessary to accelerate growth
• Track record of overachievement in new logo acquisition, high customer renewal rates, and the ability to drive high levels of outbound prospecting activity
• Ability to quickly develop subject matter expertise in Salesforce CRM, Groove, SalesLoft, Zendesk, and an ever-expanding list of productivity tools
• Hospitality lodging experience is always a plus!

#LI-LP

We're on the search for a superstar Regional Sales Manager. You will be responsible for building, driving, and managing the LATAM Sales team to deliver above quota sales performance

What You Will Do: 

• Manage all aspects of the LATAM sales cycle
• Execute individual and team sales plans to exceed quotas
• Manage and ensure adherence to the Cloudbeds Sales Process methodology
• Leverage alternate channels to build sales volume
• Ensure a high level of customer renewal rates
• Manage expenses within company guidelines

You’ll Succeed With: 

• Experience in leading sales teams with an emphasis on coaching and development
• Proven track record leading a remote team 
• Successful track record in selling hospitality management software 
• Exceptional communication and listening skills, the ability to establish rapport and credibility, and clearly articulate a value proposition 
• Exceptional presentation skills; the ability to effectively and energetically present to customers, peers, and leadership
• Ability to optimize the sales tactics as necessary to accelerate growth
• Track record of overachievement in new logo acquisition, high customer renewal rates, and the ability to drive high levels of outbound prospecting activity
• Ability to quickly develop subject matter expertise in Salesforce CRM, Groove, SalesLoft, Zendesk, and an ever-expanding list of productivity tools
• Hospitality lodging experience is always a plus!

#LI-LP1

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects in the Scaled Growth organization are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives and Field Solutions Architecture team helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of enterprise organizations across the Americas.

This role can be based remotely in São Paulo or Mexico City.

As an ideal candidate, you will have:

• 5 to 8  years of related industry experience, ideally 2 years of experience in a customer facing role
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• A Bachelor’s degree or equivalent work experience
• Requires professional proficiency in both written and verbal English communication

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 426174

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Mexico City for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273399627

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

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

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

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

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

The PerfectScale for Kubernetes platform offers:

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

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

Responsibilities:

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

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

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

Qualifications

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

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

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

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

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

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

Full-time employee benefits include: 

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

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

#LI-Remote

***Proficiency in spoken and written English at an advanced level is required for this role.

A day in the life:

You operate at the intersection of data engineering and applied AI, building end-to-end solutions that power Power Digital’s internal AI platform. Your work goes beyond traditional data pipelines — you take ownership from raw data ingestion through to AI-ready outputs and features. You collaborate closely with data science and product teams, ensuring that data systems directly translate into functional AI capabilities used across the organization.

Responsibilities:

• Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products
• Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure
• Consolidate fragmented data sources across the organization into reliable, automated pipelines
• Design scalable data models and marts that serve both analytics and ML feature engineering
• Support rapid iteration on new data products and features in a fast-moving environment
• Collaborate cross-functionally with analytics, data science, and product teams to translate requirements into data solutions
• Proactively monitor and resolve data quality issues, optimizing for cost and performance
• Employ AI technologies to enhance and optimize business processes
• Utilize and leverage Power Digital's Nova ecosystem as it relates to your department
• Use AI coding tools as part of your daily development workflow to accelerate pipeline development and data quality work

Role Requirements:

• Strong proficiency in Python and SQL
• Experience building end-to-end data solutions, from ingestion to production use
• Experience with Snowflake or a similar cloud data warehouse
• Working knowledge of AWS (e.g., S3, Lambda, EventBridge)
• Understanding of data modeling and structuring data for downstream applications
• Familiarity with Git and basic CI/CD practices
• Active use of AI tools in development workflows (e.g., Claude Code, Cursor, Copilot)
• Comfortable shipping fast and iterating from live user feedback
• Hands-on exposure to AI workflows (e.g., embeddings, vector databases, RAG systems)
• Looker or similar BI/semantic layer experience

Key Performance Indicators (KPIs)

• Pipeline Reliability: ≥95% weekly uptime on all production pipelines owned (Signal, GTM, Churn, SE, Iris data feeds) by end of Month 3, measured via Snowflake/Render monitoring. Any P1 failure acknowledged within 4 hours with a status update.
• Data Quality: ≥90% row-level completeness on serving tables (starting with final_features) by end of Month 2, with at least one automated quality check running in production.
• Shipping Velocity: At least 1 data improvement shipped to production per week by the end of Month 2. This includes new data sources connected, pipeline fixes, Looker model additions, quality patches, or latency improvements. Measured by production deploys. The bar is shipping, not scoping.
• Feature Contribution (Month 4+): At least 1 AI product (Churn, SE, or Iris) has a measurable data improvement — new source added, latency reduced, or accuracy lift — directly attributable to this engineer's work before end of Q2.

Most Important Things (MITs)

• Build and ship end-to-end data systems that directly enable AI features
• Deliver production-ready datasets and pipelines that unblock AI and product teams
• Reduce fragmentation by creating unified, AI-ready data foundations

Benefits & Perks:

• Base salary paid in USD
• Unlimited Time Off available on day one
• Fully flex work environment: full-remote, in-office, or hybrid
• Healthcare stipend: $50/month to support your healthcare or insurance costs
• National Holidays + 2 Mental Health Recharge Days per year
• Unlimited opportunities for growth & leadership within a rapidly growing firm
• Ongoing employee development programs for personal and professional growth (Hedgehog and Vital 5s)
• Quarterly awards including prize money and recognition for outstanding performance
• Opportunities to be involved in company DEI initiatives

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Build ML training and fine-tuning pipelines using Scale's robotics data
• Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
• Collaborate with ML engineers and researchers to bring robotics research into production
• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to Haves:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

Scale AI sits at the forefront of enabling machine learning for advanced robotics systems. As an Operations Program Manager focused on data creation for robotics models, you will design and execute the solutions, tools, and processes that power high-quality training data at scale. You’ll ensure precise, timely delivery of datasets that drive perception, manipulation, and autonomous decision-making in robotic platforms. With rapid growth, new customer onboarding, and continual product innovation, we face both strategic questions and hands-on operational challenges—your contributions will be key to solving them.

You will be part of a highly motivated team of operators and collaborators who will ensure steady delivery and customer satisfaction. You are relentless in driving stellar results, running pilots, tests, and experiments, then handing over new designs to a team of skilled operators.

The blend of operations, process improvement, and cross-functional leadership make this a unique and exciting role that will provide an opportunity to work with multiple teams (e.g., Engineering, Marketing, Operations, Analytics, and several others) across the company and around the globe.

You will:

• Drive some of our most critical operational processes
• Improve existing processes and tools globally
• Collaborate with stakeholders to improve processes for new and existing customers
• Create an effective feedback loop between the frontline, product, strategy, and customers
• Build, maintain, and regularly communicate detailed reporting for other leaders across the company who will use your team's data to inform their own operations and strategy

Ideally you'd have:

• Industry experience in supply chain, finance planning, in an operational role and/or in a top tier consulting firm
• An undergraduate degree from a top university in an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree from a top university in Engineering, Economics, or Business
• Experience leading day to day activities and improving processes
• An action oriented mindset that balances creative problem solving with the desire to run through walls to deliver outcomes
• Analytical, planning, and process improvement capability

Nice to haves:

• Experience with reading SQL and/or another database language
• Experience with Python and/or Mode Notepad scripting

Do work that matters.  

At AlertMedia, everything we do supports our mission: To save lives and minimize loss by identifying active threats globally and facilitating timely communications when an emergency threatens personal safety and business continuity.    

Our core values drive us in our important mission of keeping people safe & informed:   

• We’re humans not robots  
• Customers always come first  
• We work better together  
• Simplicity is our strength  
• Our reputation is priceless  
• Hard work pays off 

As one of the fastest growing software companies in the nation, we’re focused on finding the best talent and building the best team to continue accelerating our rapid growth to keep up with our demand. 

AlertMedia is looking for an experienced Database Engineer (Search Platform) with deep expertise in Elasticsearch at scale, relational databases (Postgres/MySQL), and modern search architectures including vector search, semantic search, hybrid search, and ranking strategies such as Reciprocal Rank Fusion (RRF).

This is a hands-on role focused on designing, operating, and evolving the data stores and search infrastructure that power AlertMedia’s real-time risk intelligence platform. You will play a critical role in how we index, query, rank, and retrieve signals across large-scale structured and unstructured datasets. We’re looking for someone who has built and operated production-grade search and database systems, understands distributed systems tradeoffs, and is comfortable owning complex data infrastructure end to end. We want you to shine by showing us real systems you’ve designed, clusters you’ve scaled, search architectures you’ve improved, and performance problems you’ve solved. We don’t do trick questions or whiteboard exercises.

Who you are:    

You are a pragmatic database engineer who thrives in a collaborative environment and enjoys working on systems that operate at scale in the real world.
You have significant experience designing, tuning, and operating Elasticsearch clusters in production, including large datasets, high ingest rates, and low-latency search requirements. You understand shard allocation, index lifecycle management, query optimization, cluster scaling, replication, and performance tuning. You also have strong experience with relational databases like Postgres or MySQL, including schema design, indexing strategies, query planning, and operational best practices.

You care deeply about:

• Building resilient, observable, and scalable data infrastructure
• Search relevance, performance, and correctness
• Data modeling and storage design
• Operational excellence and production reliability
• Clean, maintainable infrastructure and automation

You are comfortable working in Python and SQL, have experience with AWS infrastructure, and enjoy improving systems continuously.

What you get to every day:    

• Design, scale, and operate Elasticsearch clusters supporting large-scale ingest and low-latency query workloads
• Architect and optimize hybrid search systems, combining keyword search (BM25) with vector/semantic retrieval
• Implement and tune vector search, semantic search pipelines, and ranking strategies (e.g., RRF, rescoring, custom ranking logic)
• Improve indexing strategies, shard design, mappings, analyzers, and query performance
• Design and maintain relational database systems (Postgres/MySQL) supporting application and data workloads
• Partner with data engineering teams to ensure ingestion pipelines are optimized for search and database performance
• Monitor, troubleshoot, and optimize cluster health, capacity planning, scaling strategies, and cost efficiency
• Improve observability, alerting, backup/restore, disaster recovery, and operational best practices
• Contribute to architecture decisions around storage, indexing, retrieval, and relevance
• Operate in an Agile environment using tools like Git, JIRA, Jenkins, and Slack
• Help shape AlertMedia’s long-term data platform and search strategy
• Contribute to AlertMedia’s culture, values, and long-term technical vision

What you bring to the role: 

• Bachelor’s degree in Computer Science, Engineering, or related field (preferred)
• 3-4+ years of experience in database engineering, search engineering, or backend data platform roles
• Expert level hands-on experience with Elasticsearch at scale (cluster design, tuning, scaling, and operations)
• Experience designing and implementing vector search, semantic retrieval, hybrid search, and ranking strategies such as RRF
• Experience with AWS or other cloud platforms (required)
• Solid experience with relational databases such as Postgres or MySQL, including schema design and query optimization
• Strong understanding of search relevance concepts (BM25, analyzers, scoring, boosting, rescoring)
• Experience with high-throughput ingest systems and indexing pipelines
• Proficiency in Python and SQL 
• Strong organizational skills and ability to manage multiple pipelines and priorities
• Excellent written and verbal communication skills, with the ability to collaborate cross-functionally
• Ability and desire to work in a fast-paced, technically challenging environment
• English proficiency (written and oral) is required

Nice to Have

• Broader data engineering experience (data acquisition, ETL, streaming pipelines, Kafka/Kinesis/SQS)
• Experience with AI/ML pipelines, embeddings generation, or MLOps workflows
• Experience operating vector databases or ANN systems (FAISS, Milvus, OpenSearch vector, pgvector, etc.)
• Experience with large-scale data processing frameworks 
• Please note: AlertMedia does not sponsor applicants for work visas.

Why you’ll love working at AlertMedia:

• Competitive Base Salary (Bi-monthly payroll)
• Annual Company Bonus
• 100% Employer-Paid Medical, Dental, and Vision Coverage
• Parental Leave Program 
• Christmas Bonus (Aguinaldo)
• Generous Vacation and Holiday Policy
• Additional Vacation Bonus
• Monthly Work-from-Home Stipend
• All Necessary Equipment Provided: Laptop, monitor and accessories
• Recognition & Rewards: We celebrate wins big and small
• Language Immersion Program with employees spread out across the globe (English, Spanish, etc...depending on your interest)
• Continuous Learning & Growth: From mentorship and tech talks to personalized 1:1 career development sessions, we’re deeply committed to investing in your professional journey
• Award Winning Culture: We're proud to be recognized as a BEST WORKPLACE FOR 10 YEARS IN A ROW
• The Work & People: We’re passionate about the meaningful work we do—and even more grateful for the incredible people we get to do it with!

About AlertMedia:

AlertMedia helps organizations protect their people and businesses through all phases of an emergency. Our award-winning threat intelligence, emergency communication, and travel risk management solutions help companies of all sizes identify, respond to, and recover from critical events faster and more confidently. AlertMedia supports essential communication for thousands of leading businesses—including JetBlue, Coca-Cola Bottling, and Walmart—in more than 150 countries.

We are an equal opportunity employer focused on creating a collaborative and exciting place for all to work. Ensuring a diverse, inclusive, and equitable workplace for all people is key to our success and core to our values.   All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

This is an amazing opportunity to be part of our wave of momentum and take our company, and your career, to the next growth stage. We'd love to get to know you better and share how we serve our amazing customers. For more information, please visit www.alertmedia.com.   

Come join us in our mission to save lives and minimize loss through effective communication.  

By applying for the role, you agree that Alert Media will use your Personal Information in connection with the recruitment process and in accordance with our Privacy Policy – https://www.alertmedia.com/legal/privacy-policy/

Company Background

Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.

Project Description

AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.

Technologies

• Python
• FastAPI
• AWS
• Docker
• Kubernetes
• CI/CD
• LLM / Generative AI
• vLLM
• Kafka / RabbitMQ

What You'll Do

• Design and implement a rules engine platform as part of the AI microservices ecosystem;
• Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
• Develop robust, maintainable, and scalable Python microservices;
• Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
• Work with containerization (Docker) and orchestration (Kubernetes) for deployment.

Job Requirements

• 4+ years of experience with Python;
• Experience building rules engines or similar business logic platforms;
• Experience with FastAPI or similar frameworks;
• Experience with Docker, Kubernetes, and CI/CD pipelines;
• Experience working with AWS (EKS, SQS, S3, EC2, MSK);
• Strong software engineering fundamentals and clean code practices;
• Basic experience with LLMs and tools like vLLM;
• Strong communication skills;
• English proficiency at B2 level or higher;

Nice to Have:

• Background in AI/ML platforms or agent frameworks;
• Familiarity with messaging systems (RabbitMQ, Kafka);
• Understanding of concurrent programming;
• Exposure to Amazon Bedrock;
• Familiarity with observability tools (OpenTelemetry, DataDog);

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.

Project Description

We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.

Technologies

• Databricks (including Spark, Delta Lake, MLflow)
• Python/Scala
• SQL
• ETL concepts
• Distributed data processing
• Data warehousing
• Cloud Platforms & Storage

What You'll Do

• Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
• Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
• Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
• Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
• Develop and maintain documentation, data models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
• Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
• Strong proficiency in Python and/or Scala for data processing;
• Deep understanding of distributed data processing, data warehousing, and ETL concepts;
• Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
• Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data 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.

Sep 25, 2025 12:50

What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.
• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Observability: 5+ years of experience working with observability tools, and defining

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organizational & Communication Skills: Self-organized with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.
• Language: English proficiency is mandatory.

#LI-Remote

#LI-DC1

POSITION SUMMARY

Own Workday integrations end-to-end, driving reliable data flow and scalable system design. Elevate architecture standards while bridging technical and business stakeholders. Enable high-quality user experiences through automated testing, reporting, and AI-driven insights. The Workday Integrations & Data Specialist is responsible for designing, building, and maintaining integrations between Workday and internal or third-party systems. This role ensures accurate, secure, and timely data flow across HR, payroll, finance, IT, and benefits platforms while supporting reporting, automation, AI-enabled insights, and scalable system design.

This role partners closely with HRIS, IT, Finance, Payroll, Core HCM architects, and external vendors to ensure Workday functions as a reliable system of record within a cohesive technology ecosystem. This is a remote position that offers the opportunity to make a meaningful impact in a dynamic, fast-paced fintech environment. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View. Our salary ranges are determined by role, level, and location. 

WHAT YOU'LL DO 

Workday Integrations & Data Management

• Design, build, test, and maintain Workday integrations using tools such as EIB, Core Connectors, Workday Studio, and APIs

• Manage integrations across payroll, benefits, identity management, finance systems, data warehouses, and other HR platforms

• Ensure data integrity through transformation logic, mapping, and bulk data operations

Monitoring, Reporting & Data Delivery

• Monitor integrations, troubleshoot failures, and resolve data discrepancies

• Develop and maintain reporting, data feeds, and pipelines to support HR, Finance, and business intelligence platforms

• Proactively identify issues using logs, reporting, and automated alerts

Architecture, Automation & AI

• Act as a bar raiser for integration and data architecture, promoting best practices in scalability, performance, cost efficiency, and user experience

• Drive architectural decisions that balance cost, performance, and end-user experience

• Identify and implement automation and AI-enabled solutions to improve data quality, anomaly detection, and operational efficiency

• Partner with engineering and data teams to support AI-ready data pipelines

Testing, Validation & User Experience

• Support cross-functional testing and validation efforts through automated reporting, data checks, and failure detection

• Partner with functional teams (e.g., Talent, Payroll, Benefits) to enable effective test plans and issue identification

• Contribute to a high-quality user experience by ensuring data accuracy and system reliability across workflows

Collaboration & Communication

• Partner with Core HCM architects and business process administrators across SKUs, including Talent and Advanced Compensation, to ensure cohesive, end-to-end system design

• Translate complex technical concepts into clear insights for non-technical audiences

• Collaborate across HR, IT, Finance, and vendors to align solutions with business needs

Security & Compliance

• Ensure integrations meet security, privacy, and compliance standards

• Manage secure data transfers and authentication methods across systems

WHAT WE'RE LOOKING FOR 

• 1+ years of experience with Workday integrations and tools such as Workday Studio, EIB, Core Connectors, Workday Web Services / APIs

• Experience integrating Workday with systems such as: ADP / global payroll vendors, Okta/identity management, Greenhouse/ATS, Benefits Providers (IE, Navia, Bswift, etc.), and Finance Systems (IE, Pigment, Netsuite, Zip, Navan, etc.) 

• Knowledge of data formats such as XML, JSON, CSV

• Experience with integration technologies such as REST / SOAP APIs, SFTP

• Knowledge of SQL 

• Data analysis skills

• Familiarity with AI/ML concepts or tools applied to data workflows (e.g., anomaly detection, automation, or data enrichment)

• Experience with data validation and troubleshooting

• Strong ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders

• Strong problem-solving ability, experience with uncovering root causes, and executing action plans rapidly and thoughtfully. 

• Experience with HR data governance is a plus

• Experience working with or supporting AI-enabled data platforms, pipelines, or analytics tools is a plus

• Exposure to tools like Python, dbt, or modern data platforms is a plus

• 2+ years of experience working with a Workday implementation partner (e.g,. Topbloc, Deloitte, Accenture) is a plus 

#LI-Remote

About Backblaze

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

Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100M in revenue and is the leading specialized storage cloud — managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.

But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Growth Marketing Director to join our team.

About The Role

The Director of Growth owns the self-serve revenue engine end-to-end — from top-of-funnel acquisition strategy through product-led growth, activation, and expansion — and operates with cross-functional authority across Product, Engineering, Marketing Ops, and our paid acquisition agency. This is not a funnel repair job or a lifecycle marketing role. It’s a growth leadership role for someone who thinks first about where new users come from, and second about everything else.

What You’ll Do:

Top-of-Funnel Strategy

• Own organic and paid acquisition strategy across all channels, including direct oversight of our paid acquisition agency — setting strategy, budget allocation, and performance expectations
• Drive developer community acquisition accross Reddit, Hacker News, dev-focused communities, technical content, GitHub presence, and DevRel-adjacent programs

Product-Led Growth

• Own the PLG motion: product qualification logic, activation funnel design, self-serve to sales-led handoff design, and expansion trigger strategy
• Work directly with Product and Engineering to prioritize self-serve improvements and advocate for PLG in planning cycles

AI/ML Segment Ownership

• Own the corporate narrative and translate it into channel strategy, content, and partnerships targeting our strategic markets
• Identify and develop go-to-market programs for the key strategic ICPs: developer tools integrations, community presence, co-marketing, and technical content

Funnel Performance & Analytics

• Own north star KPIs across the full funnel
• Partner with BI to build and maintain PLG dashboards
• Drive weekly and monthly reporting across the organization

Cross-Functional Leadership

• Work across external agencies, our Marketing Ops team, our Partner with Customer Success teams to facilitate the full lifecyle of customers who choose to begin their journey with us through our self-serve engine and partner with our engineering and product teams to build the case for product investment and engineering capacity

The Right Fit:

This is a specific hire for a specific kind of company. We’re not looking for a generalist demand gen leader or a lifecycle marketer. We need someone who has been here before — at a developer-centric infrastructure company, building growth motion from a strong foundation into something structurally durable.

Bonus Points For:

• Familiarity with AI/ML infrastructure, data pipeline tooling, or the AI builder ecosystem
• Experience directing a paid acquisition agency (not just overseeing spend)
• Background working in a post-IPO company navigating both efficiency and growth mandates
• Experience building out a growth team or function from scratch

The Commercial LATAM Team

Account Executives at Okta strive to help prospects and customers modernize IT, build customer experiences, and prevent breaches by mapping our solutions to their needs. By understanding the specific challenges that both prospects and customers are faced with, you will help them achieve the desired positive business outcomes with our solutions. You will cultivate tight-knit relationships with customers and key partners while maintaining knowledge of Okta’s evolving technology. In this high-velocity role, expect to own deals from cradle-to-grave in collaboration with account teams, sales engineers, professional services, and partners.

The Sr. Commercial Account Executive Opportunity

Reporting to the LATAM Area Sales Director, Commercial Sales, Okta’s Sr. Commercial Account Executive manages the sales processes for commercial customers (less than 2000 employees) located in the northern LATAM region. The right candidate for the position will enjoy closing new logos while simultaneously managing and expanding a book of install base customers. Our AE’s organize and conduct sales presentations, site visits and product demonstrations to prospects and represent Okta in a consistent, effective and professional manner to best develop and win new clients.

What you’ll be doing 

• Manage the sales process for small to medium-sized new logo customers from demo to contract negotiation
• Expand business within existing Okta customers by building long-term strategic relationships with key accounts.
• Develop and execute against an assigned quota and territory plan
• Prospect, forecast, build and maintain a sales pipeline with assigned Sales Development Representatives
• Present to C-level executives in the field and via web demonstrations
• Partner with ISV's and strategic partners to win revenue for Okta

What you’ll bring to the role

• 5+ years of sales and account management experience in a SaaS/Cloud B2B environment
• Experience selling into northern LATAM region preferred
• A proven track record of success selling in territory to mid-sized and/or enterprise customers
• ISV or Channel experience is strongly preferred  
• IT/Security sales experience is strongly preferred
• Ability to travel 10%-20%
• BS/BA degree preferred
• Must be able to travel to customers, events, and team offsites
• Must be fluent in Spanish
• Please note this role is not eligible for sponsorship

#LI-KT1

SRC CML NLATAM

Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Auth0 and Okta Platforms enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. 

Join our team! We’re building a world where Identity belongs to you. 

The Okta Technical Account Management Team
The TAM team empowers Okta customers to deliver secure, scalable, and transformative identity solutions by acting as their trusted identity coach. We drive lasting success through elevated technical maturity, proactively guiding their identity decisions and long-term identity vision. We guide a customer’s strategy for customer identity and security posture while driving value in Okta’s suite of Auth0 products and, ultimately, retention at contract renewal.

The Auth0 Technical Account Manager Opportunity
This is an exciting opportunity for an experienced technical expert to join the TAM team. This role specializes in the Auth0 platform, which is an easy-to-implement, adaptable authentication and authorization platform for Consumer and SaaS applications. We make your login experience awesome. You will be working with a portfolio of well-known brands on their Auth0 implementations as an identity coach. Building close relationships with technical stakeholders from early in the customer lifecycle, you will learn their business, goals, challenges and technical landscape, ensuring Okta delivers on a long-term strategic plan to help solve these challenges and realize the value of their Auth0 platform investment, while continuing to evolve to solve new objectives and improve security posture.

The ideal candidate for this role has experience in either customer business-facing or technical delivery. They exhibit both interest and adaptability to both technical and business discussions, including agility in conversation and intelligent follow-through for customers. They are able to showcase an understanding of the TAM role through concrete examples of problem solving strategies and tactics often faced in the role. 

What you’ll be doing:

• Serve as a trusted Identity Coach, guiding customers to achieve their objectives through timely technical guidance, advice, enablement, and best practice sharing
• Learn our customers’ business, gaining insights into their strategies, goals, and challenges - through the lens of identity
• Build and nurture long-term relationships with stakeholder personas from developers, engineering leads, app builders, and product owners, through to C-level exec, evolving customers into Auth0 champions
• Conduct quarterly customer meetings with executives to recap past value, show progress on current initiatives and future state or roadmap items
• Conduct ad hoc customer meetings with technical practitioners on identity solutions, technical guidance and best practices
• Monitor customer health, satisfaction, and engagement, proactively addressing risks and escalations
• Collaborate with stakeholders to develop strategies to increase customer adoption, and uncover growth opportunities that will solidify Auth0 for the entirety of customer identity
• Analyze trends, identify areas for improvement, and take action to optimize customer outcomes
• Act as a product evangelist, educating customers on new features and alignment of roadmaps to enhance their experience
• Represent the voice of the customer, ensuring their needs and feedback shape the company’s approach

Requirements:

• 2+ years of total experience in information technology, with a Bachelor’s degree; or an advanced degree without experience; or equivalent experience.
• Familiarity in the following core CIAM areas or technical competencies: 
• Technologies and protocols to support authentication and authorization (OAuth, OpenID Connect, and SAML 2.0)
• Consuming APIs and HTTP request methods
• High-level understanding of custom consumer and SaaS apps both web and native
• Passion for learning cybersecurity principles for IT and consumer applications
• Experience with SaaS/PaaS/cloud-based services, driving their adoption, integration, and ongoing use
• Basic knowledge of software development lifecycle, interest in programming languages, and application builder practices
• A customer-first mindset with the energy and problem-solving skills to address technical challenges and achieve customers' business and technical objectives
• Ability to manage multiple projects simultaneously, perform customer research, generate reports, and analyze data. Strong presentation skills
• Excellent communication skills with the ability to set expectations, and communicate goals and objectives with customers at various levels, from a developer to C-level exec
• Ability to influence customer behavior & health metrics across a portfolio of customers
• This position will be located remotely within 50 miles of Mexico City, with some travel required (under 25% of the time)

Our Values - core competencies expected of our people:

• Always secure, always on: Relentlessly champion Okta’s security-centric mission with our customers
• Drive what’s next: Distinguish ourselves as Identity thought leaders who mature our customer's identity architectures
• Love our customers: Give our customers a premium identity experience
• Build it and own it: Solve hard problems together, own the outcome and impact, and empower each other to do the best work of our careers

Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet all the job criteria. We aren’t looking for someone who ticks every single box on a page; we’re looking for lifelong learners and people who can make us better with their unique experiences. If you think you’d be a great fit, then please get in touch to tell us about yourself.

Okta is an Equal Opportunity Employer

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Okta.  More details about Okta’s privacy practices can be found at: https://www.okta.com/privacy-policy

#LI-MM1
#LI-Hybrid
P22221

Role Description

We are looking for a Software Engineer to join our Design Systems team who will help define and build the next generation of how designers and engineers at Dropbox create products, spanning UI infrastructure, design systems, and AI-native development workflows. You will evolve our design system, build intelligent tooling, and integrate AI agents into the design-to-code lifecycle to improve speed, quality, and consistency.

This role blends foundational front-end engineering with AI-assisted and agent-driven workflows. You will work on scalable component architecture, design system governance, AI-powered developer tooling, and automation of design and engineering handoffs. Your work will directly influence how products are built across Dropbox.

You will play a crucial part in shaping how AI transforms product development. You will gain deep exposure to senior leadership, contribute to high-impact platform investments, and help define new ways of working at the intersection of design, engineering, and machine intelligence.

We are looking for a tinkerer at heart, someone who experiments, iterates, and pushes beyond conventional solutions. You approach emerging technologies, particularly AI and automation, as practical tools to reimagine workflows and unlock new capabilities. You bring curiosity, resilience, and a bias toward action, with the discipline to turn ambiguous ideas into production-ready systems others can rely on.

Responsibilities

• Develop, maintain, and evolve UI components and primitives that power Dropbox’s design system, enabling scalable and consistent product development.
• Design and build AI-powered tooling and agent-driven workflows that accelerate design-to-code processes and improve developer productivity.
• Partner closely with designers to translate design intent into high-quality, reusable code, while also shaping how AI can assist or automate parts of this workflow.
• Contribute to the architecture and strategy of AI-native UX development, including the integration of LLMs, agents, and automation into internal tooling.
• Prototype and productionize new concepts that explore the future of design systems.
• Ensure accessibility and inclusivity by embedding WCAG standards and best practices into both components and AI-assisted workflows.
• Write clear, scalable documentation for both human and AI consumers (e.g., enabling agents to effectively use the design system).
• Collaborate in code reviews, design critiques, and technical discussions to continuously raise the quality bar.
• Troubleshoot and resolve issues from internal teams, improving system reliability and usability.
• Drive experimentation and evaluation of emerging AI technologies, translating insights into practical improvements in tooling and workflows.

On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experience for our customers.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of experience in front-end development, including experience contributing to or maintaining a design system or shared UI platform.
• Strong proficiency in HTML, CSS, and JavaScript, with deep experience in modern frameworks (e.g., React) and component-driven development.
• Demonstrated experience building scalable, maintainable front-end architecture for complex applications.
• Hands-on experience integrating or building with AI/ML-powered tools (e.g., LLM APIs, agent frameworks, or automation pipelines) in a development workflow.
• Solid understanding of accessibility standards (WCAG, ARIA) and how to implement them in reusable systems.
• Proven ability to collaborate effectively with cross-functional partners (design, product, engineering) and communicate technical concepts clearly.

Preferred Qualifications

• Experience designing or building AI-native developer tools, agent-based systems, or generative UI workflows.
• Track record of contributing to large-scale design systems or platform teams in fast-paced environments.
• Familiarity with prompt engineering, evaluation of LLM outputs, or designing systems that leverage AI for code generation or transformation.
• Experience with CI/CD pipelines, package publishing, and tooling that supports scalable design system distribution.
• Strong understanding of testing strategies (unit, visual, integration) for UI systems and component libraries.

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.

Joining on the ground floor of this startup team, you’ll partner directly with Data Science, Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!

Responsibilities

• Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
• Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies for Dash Chat and Search
• Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques
• Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
• Identify what matters most and prioritize ruthlessly for the area you will own
• Contribute to a culture of strong technical ownership, partner with DS leadership to keep evolving DS working model and elevate DS impact
• Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 7+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
• Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction  
• Proficiency in SQL, Python or other programming/scripting languages
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Ability to provide data insights and recommendations for 0→1 product even when sample size is small
• Strong verbal and written communication skills

Preferred Qualifications

• Experience in startups or building 0→1 products
• Expertise in using data to inform AI/ML product development
• Background in SaaS product

Role Description

We are seeking a SaaS Engineer to manage, optimize, and maximize value from Dropbox’s SaaS ecosystem. The ideal candidate has hands-on experience administering collaboration platforms (Google Workspace, Slack, Zoom, Dropbox), strong scripting/automation skills, and a curiosity for exploring new features and AI capabilities. You will help ensure SaaS platforms are secure, scalable, and fully leveraged, enabling Dropboxers to get the most out of their tools.

Responsibilities

• Administer SaaS platforms: user management, security, permissions, workflows, integrations.
• Proactively evaluate new SaaS features and run pilots/adoption programs.
• Measure and report on adoption and usage trends across collaboration platforms.
• Identify opportunities to leverage AI, automation, and integrations for smarter collaboration.
• Troubleshoot and resolve SaaS-related incidents, documenting best practices.
• Deliver documentation, training, and communication to drive user enablement.

Requirements

• 5+ years experience administering enterprise SaaS platforms (i.e. Google Workspace, Slack, Zoom, Dropbox).
• Experience with automation/scripting (Python, Bash, PowerShell, AWS Lambda).
• Familiarity with SaaS APIs, integrations, and CI/CD pipelines.
• Strong analytical skills for usage data, adoption metrics, and feature impact.
• Excellent troubleshooting, problem-solving, and cross-functional communication skills.
• Ability to work independently and cross-functionally, with clear communication to both technical and non-technical stakeholders.
• Strong documentation skills, with experience maintaining knowledge bases, SOPs, and onboarding guides

Preferred Qualifications

• Certifications in Google Workspace or Slack administration.
• Experience with SaaS adoption programs and driving user engagement.
• Familiarity with AI/ML-powered SaaS features.
• Background in SaaS spend optimization and vendor management.

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation