Beyond

Technical Program Manager

• Drive end-to-end programme delivery across multiple workstreams, ensuring clarity of direction, accountability, and progress.
• Define scope, objectives, milestone plans, and success metrics to deliver on strategic product and business outcomes.
• Work closely with technical and non-technical teams to translate business goals into measurable engineering outputs.
• Create alignment across diverse teams, managing interdependencies and resolving conflicts proactively.
• Establish delivery frameworks, governance, and reporting mechanisms to maintain visibility and momentum.
• Act as a strategic thought partner to Product and Engineering leadership, balancing short-term execution with long-term vision.
• Identify risks early and lead cross-functional forums to drive effective decisions and trade-offs.
• Communicate succinctly across technical and senior executive stakeholders, ensuring clarity and precision.
• Promote operational excellence and iterative improvement throughout programme planning and execution.
• Act as a credible, technically proficient leader - able to engage confidently in technical discussions without needing an engineering background.

Machine Learning Engineer

• Develop scalable, high-performance personalization backend systems and engines, including the ingestion and processing of data to create AI driven personalization pipelines.
• Bring to life industry leading personalization technologies, leveraging traditional and advanced Machine Learning models, as well as large language models (LLM) to improve user experience through personalization.
• Implement approaches to enhance the performance, reliability, and observability of personalization services, ensuring low-latency, high-availability systems.
• Implement frameworks for evaluating personalization quality through both offline metrics and live A/B experimentation.
• Champion engineering best practices and mentor engineers across teams, raising the bar for code quality and system design.
• Staying ahead of trends in personalization and recommendation technologies, distributed systems, and bringing these innovations into production.

Senior ML Engineer – Personalisation

• Lead the architecture and evolution of scalable, high-performance personalisation backend systems, including the ingestion and processing of data to create AI driven personalization pipelines.
• Drive cross-functional initiatives to establish industry leading personalization technologies, leveraging traditional and advanced Machine Learning models, as well as large language models (LLM) to improve user experience through personalisation.
• Define strategies to enhance the performance, reliability, and observability of personalization services, ensuring low-latency, high-availability systems.
• Design and implement frameworks for evaluating personalisation quality through both offline metrics and live A/B experimentation.
• Champion engineering best practices and mentor engineers across teams, raising the bar for code quality and system design.
• Shape long-term technical direction by staying ahead of trends in personalisation and recommendation technologies, distributed systems, and bringing these innovations into production.

Principal ML Engineer – Personalisation

Backend Engineer

• Lead the architecture and evolution of scalable, high-performance Java backend systems for personalisation, including data ingestion, profile management, recommendation services, and dynamic content delivery.
• Utilize frameworks like Spring Boot, Apache Kafka for messaging, and RESTful API as well as Backend-for-Frontent (GraphQL) design principles.
• Drive cross-functional initiatives to integrate modern personalisation technologies, such as real-time behavioral analytics and A/B testing frameworks, using Java-based APIs and microservices.
• Define strategies to enhance the performance, reliability, and observability of personalisation services, ensuring low-latency, high-availability systems through Java optimizations and monitoring tools like Micrometer or Prometheus.
• Design and implement Java frameworks for evaluating personalisation effectiveness through both offline metrics and live A/B experimentation.
• Champion engineering best practices in Java development and mentor engineers across teams, raising the bar for code quality and system design.
• Shape long-term technical direction by staying ahead of trends in distributed systems, Java ecosystem advancements, and personalisation technologies—and bringing these innovations into production.

Senior Backend Engineer – Java

Full-stack Engineer

• Collaborate with product, design, and engineering peers on a cross-functional, outcome-focused team to define and deliver OKRs
• Drive large projects autonomously, continuously assessing and communicating progress and iterating on solutions
• Recommend and collaborate on architectural solutions, explaining trade-offs related to time-to-market, structural and functional quality, security, maintainability, resources, and scope
• Support and maintain the existing codebase and products
• Practice and improve Beyond’s engineering processes, including refactoring, pairing, code reviews, collective code ownership, containers, Infrastructure as Code (IaC), CI/CD, and observability.

Senior Software Engineer

• Leading cross-team projects and initiatives, facilitating inter-team communication and collaboration
• Mentoring engineers and fostering their growth, coaching teams to continuously improve delivery pace and quality, and providing feedback to support career development
• Acting as a force multiplier by building systems, authoring tools, or introducing policies and patterns that raise organizational productivity
• Setting long-term strategic technical direction (6+ months ahead), identifying areas of greatest need and opportunity across the engineering organization, and creating plans for improvement with stakeholder buy-in
• Navigating ambiguity effectively, defining next steps that align with Engineering and company needs, and stepping in as a contributor on any team when needed
• Collaborating and recommending architectural solutions, while understanding and explaining trade-offs around time to market, structural and functional quality, security, maintainability, resources, and scope
• Using data and facts to debate technical architecture decisions with team members and stakeholders to gain buy-in
• Exercising and improving Beyond's engineering practices such as refactoring, pairing, code reviews, collective code ownership, containers, IaC, CI/CD, observability
• Leading follow-up on incidents, proactively improving systems to prevent recurrence, and enhancing monitoring capabilities for faster detection
• Supporting and maintaining the existing code baseline and products
• Fostering cost-awareness by advocating for cost-saving initiatives and diligently monitoring spending across existing systems

Staff Engineer

• Leading cross-team projects and initiatives, facilitating inter-team communication and collaboration
• Mentoring engineers and fostering their growth, coaching teams to continuously improve delivery pace and quality, and providing feedback to support career development
• Acting as a force multiplier by building systems, authoring tools, or introducing policies and patterns that raise organizational productivity
• Setting long-term strategic technical direction (6+ months ahead), identifying areas of greatest need and opportunity across the engineering organization, and creating plans for improvement with stakeholder buy-in
• Collaborating and recommending architectural solutions, while understanding and explaining trade-offs around time to market, structural and functional quality, security, maintainability, resources, and scope
• Using data and facts to debate technical architecture decisions with team members and stakeholders to gain buy-in
• Leading follow-up on incidents, proactively improving systems to prevent recurrence, and enhancing monitoring capabilities for faster detection
• Supporting and maintaining the existing code baseline and products
• Fostering cost-awareness by advocating for cost-saving initiatives and diligently monitoring spending across existing systems

QA Engineer

• Work with a variety of clients across different verticals and sectors as part of a Beyond project team
• Co-create and collaborate with different team members from across the project, programme and agency to ensure quality is embedded at both the process and programme level
• Enhance and further develop your QA skills by learning new test tools, methods and practices in alignment with project recommendations and requirements
• Gain knowledge in new business domains to help teams analyse, test, build and deliver quality software

Senior QA Engineer – Automation

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aluguel por temporada • Revenue Management • aluguel de curto prazo • precificação dinâmica • ferramenta de precificação para Airbnb

A Beyond é a melhor plataforma de Revenue Management do mundo, projetada para anfitriões de aluguel por temporada e gestores de propriedades. Ela ajuda os usuários a impulsionar a receita por meio de estratégias de precificação dinâmica, soluções de precificação automatizada e insights de mercado em tempo real, permitindo otimizar preços e maximizar a rentabilidade. 

Com ferramentas como a calculadora de receita e análises avançadas, a Beyond capacita seus usuários a tomar decisões orientadas por dados e a melhorar o desempenho geral do negócio no competitivo mercado de aluguel por temporada. 

51 - 200 funcionários

Fundada em 2013

🤝 B2B

🛍️ Comércio Eletrônico

☁️ SaaS

💰 $42.500.000 Series A em 2019-09

Staff Engineer

26 minutos atrás

🇧🇷 Brasil – Remoto

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

Django

Python

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Descrição

• Liderar projetos e iniciativas interequipes, facilitando a comunicação e a colaboração entre times
• Mentorar engenheiros e fomentar o desenvolvimento deles
• Atuar como multiplicador de força ao construir sistemas, desenvolver ferramentas ou introduzir políticas e padrões que aumentem a produtividade organizacional
• Definir direção técnica estratégica de longo prazo (6+ meses)
• Navegar efetivamente em situações ambíguas
• Colaborar e recomendar soluções arquiteturais
• Usar dados e fatos para debater decisões de arquitetura técnica
• Conduzir o acompanhamento de incidentes, melhorando proativamente os sistemas para evitar recorrência
• Suportar e manter a base de código existente e os produtos
• Promover consciência de custos ao defender iniciativas de redução de despesas

🎯 Requisitos

• 9+ anos de experiência construindo serviços em um ambiente SaaS multi-tenant com escopo de plataforma completa
• Experiência com Python/Django
• Proficiência em nível especialista na área de foco principal (Backend/Frontend/Data/DevOps) com forte domínio em todas as camadas de sistemas e da plataforma
• 4+ anos de experiência como tech lead, incluindo liderança de iniciativas e projetos interequipes
• Histórico comprovado de liderar e executar 2+ migrações técnicas ou grandes projetos de plataforma com duração de vários meses
• Experiência em mentorar engenheiros, apoiar seu crescimento de carreira e fomentar o desenvolvimento da equipe
• Forte orientação a produto e negócios com capacidade demonstrada de conectar trabalho técnico a resultados de negócio mensuráveis
• Expertise demonstrada em excelência operacional de CI/CD, trunk-based development e feature flagging para deploys controlados
• Experiência com sistemas abrangentes de monitoramento, alertas e observabilidade focados em funcionalidades críticas para o negócio
• Experiência com estruturas de times autônomos seguindo princípios de alta coesão e baixo acoplamento para tomada de decisão independente
• Capacidade demonstrada de prosperar em escopos ambíguos, definindo resultados e estabelecendo direção técnica estratégica de médio prazo
• Capacidade comprovada de usar dados e fatos para obter buy-in em decisões arquiteturais e facilitar colaboração entre times
• Experiência trabalhando em múltiplos produtos/componentes-chave com tomada de decisão técnica em nível organizacional
• Predisposição para um ambiente dinâmico com ênfase na entrega de valor aos clientes
• Abordagem colaborativa para resolução de problemas com habilidade de "disagree and commit"

🏖️ Benefícios

• opções de ações
• PTO ilimitado
• plano de saúde privado

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Política de privacidade e termos de serviço

Compliance

• Contribute to the development and growth of BeyondFS financial crime propositions
• Lead and deliver complex financial crime transformation programmes
• Contribute towards recruitment objectives and people-related activities
• Manage internal projects and act as a role model to others in the business
• Build and develop client relationships and gain exposure to senior stakeholders
• Identify opportunities for account growth and contribute to proposals and campaigns
• Collaborate with senior leaders to deliver risk outcomes and strategy
• Develop practical solutions to regulatory issues and draft supporting documentation
• Develop risk management frameworks or parts of them and perform related assessments
• Drive meetings and facilitate workshops
• Support development of junior colleagues through training and coaching
• Work alongside consultants to deliver high quality work and manage multiple priorities

Managing Principal – Advisory & Regulatory

• Collaborate with Product, Design, and Engineering on a cross-functional, outcome-based team to craft and deliver on OKRs
• Drive product impact by deeply understanding user needs and participating in product discovery
• Lead teams through large projects, assessing and communicating progress, adapting to feedback, and iterating on solutions
• Contribute to architectural decisions, evaluating trade-offs across time to market, quality, security, scalability, and maintainability
• Support and improve existing products and codebases with ownership and care
• Exercise and improve engineering practices: refactoring, pairing, code reviews, collective code ownership, containers, IaC, CI/CD, observability
• Work across the full product lifecycle from concept to go-to-market

• Build the next evolution of Beyond’s SaaS product and work on new products
• Collaborate with Product, Design, and Engineering on cross-functional, outcome-based teams to craft and deliver on OKRs
• Drive product impact by deeply understanding user needs and participating in product discovery
• Help lead the team through large projects with autonomy, assessing and communicating progress and iterating on solutions
• Contribute to architectural decisions while evaluating trade-offs across time to market, quality, security, scalability, and maintainability
• Support and improve existing products and codebases with a sense of ownership
• Exercise and improve engineering practices such as refactoring, pairing, code reviews, collective code ownership, containers, IaC, CI/CD, and observability

Onboarding Specialist

• Owning the new customer experience from Sales to Customer Success Management by leading trainings, driving product adoption, and helping customers achieve their business goals
• Manage the Beyond Training & Certification process for all new customers and existing customers in need of re-training
• Creating Success Plans for each new customer to demonstrate value based on consultative business discovery
• Leveraging your industry and revenue management expertise to recommend & facilitate changes to our customer’s current processes
• Creating leads for Sales & CX to sell additional products to New Customers
• Utilizing your Beyond product expertise to provide solutions that strengthen relationships and ensure Beyond customers realize the value of our product.
• Driving continuous improvement to the Beyond platform, solutions, and processes by sharing customer feedback with Customer Experience, Sales, and Product teams.
• Collaborating with cross-functional teams to drive a positive onboarding experience.
• Monitoring the state of onboarding by measuring, analyzing and reporting on relevant qualitative and quantitative KPIs.

Customer Onboarding Manager

• Beyond is a technology consultancy helping organizations thrive in a rapidly changing world.
• We build, modernize, scale, and operationalize technology, creating Cloud and AI solutions to unlock productivity and drive customer growth.
• Role Overview: We're looking for a Principal Engineer to shape the next generation of our data and ML capabilities, focusing on data quality, enrichment, and the intelligent linking of products and information.
• As a Principal Engineer at Beyond, you’ll:
• Lead the architecture and evolution of scalable, high-performance data pipelines and ML systems, focusing on data ingestion, transformation, quality checks, and enrichment.
• Drive cross-functional initiatives to integrate modern Machine Learning and AI technologies (including semantic understanding, natural language processing, and potentially large language models) to automate data quality, link canonical products, and create intelligent data enrichment solutions.
• Define strategies to enhance the performance, reliability, and observability of data and ML services, ensuring robust, high-quality data outputs.
• Design and implement frameworks for evaluating data quality and the effectiveness of ML models through both offline metrics and online validation.
• Champion engineering best practices and mentor engineers across teams, raising the bar for code quality, data governance, and ML system design.
• Shape long-term technical direction by staying ahead of trends in AI, ML, data engineering, and distributed systems and bringing these innovations into production within the Knowledge domain.
• Things that will make you stand out:
• Degree in Computer Science, Engineering, Machine Learning, or a related technical field.
• 8+ years of experience designing and leading the development of large-scale distributed data and/or ML backend systems.
• Hands-on experience with ETL pipeline design and optimization for complex data sets.
• Deep familiarity with technologies such as Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks.
• Expertise in backend development with Python and Scala; knowledge of Node.js or Golang is a plus.
• Proficient with both SQL and NoSQL databases, and experience with data warehousing solutions.
• Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred), using Kubernetes, Docker, CI/CD, and observability tools.
• Proven ability to lead and influence engineering direction across teams and functions, particularly in a data-centric and ML-driven environment.
• Strong communication skills and the ability to align diverse technical stakeholders around a cohesive vision for data quality and knowledge extraction.
• Specialization in ML areas such as semantic understanding, NLP, data classification, or entity resolution.
• Experience integrating LLMs, developing custom model architectures, or deploying ML solutions in production for data enrichment and automation.
• Knowledge of end-to-end ML system design, including experimentation workflows and model lifecycle management (MLOps).
• Certifications in Google Cloud ML or Data Engineering.
• Nice to Have
• Specialization in ML areas such as semantic understanding, NLP, data classification, or entity resolution.
• Experience integrating LLMs, developing custom model architectures, or deploying ML solutions in production for data enrichment and automation.
• Knowledge of end-to-end ML system design, including experimentation workflows and model lifecycle management (MLOps).
• Certifications in Google Cloud ML or Data Engineering.

Principal Engineer - Data & ML

Customer Success Manager

• Driving customer adoption, retention, and satisfaction for assigned book of accounts
• Securing annual subscription renewals
• Uncovering expansion opportunities and owning the upselling process
• Performing regularly scheduled meetings with key stakeholders to ensure customer goals are being met. Training clients on the basics of revenue management and how to effectively use our tool to increase revenue.
• Analyzing customer performance data and making recommendations to ensure revenue growth
• Proactive relationship management with accounts to maintain overall customer health
• Monitoring and reporting on the health and risk of assigned accounts
• Maintaining a deep understanding of Beyond's suite of products
• Managing approximately 40-50 accounts at a time
• Working with cross-functional teams to drive better collaboration and customer experience
• Being the voice of the customer back to our Product organization, communicating trending customer feedback and ideas
• Customer empathetic
• People driven
• Analytical
• A team player

Technical Program Manager

Senior ML Engineer – Personalisation

Principal ML Engineer – Personalisation

Senior Backend Engineer – Java

Senior Software Engineer

Staff Engineer

Staff Engineer

Senior QA Engineer – Automation

Staff Engineer

Managing Principal – Advisory & Regulatory

Senior Software Engineer

Senior Software Engineer

Customer Onboarding Manager

Principal Engineer - Data & ML

Senior Customer Success Manager