Product Builder

VTEX

ABOUT THE ROLE VTEX is looking for a Senior Product Manager to lead the future of Content Management across our Commerce Platform. This role is for product builders. We’re looking for someone who doesn’t just write specs and manage roadmaps, but someone who actively uses modern AI tools, rapid prototyping techniques, and emerging technologies to accelerate discovery, validation, and execution. As the Product Manager for CMS, you will shape how brands, marketers, developers, and AI systems create, manage, and deliver digital experiences on VTEX. You will be responsible for defining the next generation of content management capabilities, helping customers move faster from idea to production while maintaining the flexibility and performance required by enterprise commerce. You will work at the intersection of commerce, content, AI, developer experience, and user experience.  Success in this role requires strong product judgment, technical curiosity, and a passion for building. We expect you to be comfortable turning ideas into working prototypes, leveraging tools like Claude Code, Spec Kit, AI coding assistants, agents, MCP-based workflows, and other emerging technologies to validate solutions. This is a role for someone who believes the future of product management is increasingly hands-on and AI-native. ABOUT THE TEAM The CMS team owns the systems that power content creation, collaboration, and delivery across storefronts. Our mission is to enable merchants to create rich, performant, and personalized digital experiences with speed and confidence. We build the experience that powers everything from landing pages and merchandising experiences to personalized content journeys and AI-assisted content operations. As commerce becomes increasingly AI-driven, the CMS team is at the forefront of defining how content, data, agents, and commerce workflows come together. Our team consists of product managers, engineers, and designers who care deeply about craft, experimentation, and customer impact. We value builders who are excited to challenge assumptions, prototype new ideas quickly, and leverage technology to create meaningful advantages for our customers. WHAT YOU WILL DO * Define and execute the product strategy and roadmap for VTEX CMS. * Identify opportunities where AI can fundamentally improve content creation, management, personalization, governance, and delivery. * Work closely with engineering and design to build best-in-class content management experiences for enterprise commerce. * Rapidly validate ideas through prototypes, proofs of concept, and experimentation. * Leverage modern AI development workflows and tools to accelerate product discovery, specification, and validation. * Partner with customers to deeply understand content operations, publishing workflows, developer needs, and business challenges. * Drive product decisions through a combination of customer insights, market research, experimentation, and data analysis. * Collaborate with platform teams to ensure CMS capabilities integrate seamlessly with storefront, search, merchandising, and commerce services. * Stay at the forefront of AI, developer tooling, content management, and digital experience trends, identifying opportunities that create durable competitive advantages. * Define clear success metrics and continuously measure product impact, adoption, and customer outcomes. * Influence product direction across multiple teams and contribute to VTEX’s broader platform strategy. WHO YOU ARE Builder First * You are passionate about building products and turning ideas into reality. * You regularly use AI tools to accelerate your work and are excited about the future of AI-native product development. * You are comfortable creating prototypes, workflows, mock implementations, or technical proofs of concept yourself. * You believe that reducing the distance between an idea and customer validation is a competitive advantage. Strong Product Thinker * You have experience leading product strategy and execution for complex software products. * You can balance long-term vision with pragmatic decision-making and fast iteration. * You understand how to identify customer problems worth solving and translate them into successful products. AI-Native Mindset * You have strong knowledge of modern AI technologies and concepts, including large language models, agents, tool calling, MCPs (Model Context Protocol), retrieval systems, AI workflows, and emerging development paradigms. * You understand both the opportunities and limitations of AI systems and can apply them thoughtfully to real customer problems. * You actively experiment with new tools and techniques to improve product outcomes. Technically Curious * You are comfortable discussing technical architecture, APIs, integrations, developer workflows, and platform capabilities. * You can effectively collaborate with engineers and make informed product tradeoffs. * Previous experience with developer platforms, content management systems, AI products, or enterprise SaaS is a strong plus. Customer Obsessed * You have a deep curiosity about how users work and what drives successful outcomes. * You seek direct customer feedback and use it to inform product decisions. * You care about solving real problems rather than simply shipping features. Exceptional Communicator * You can clearly articulate product strategy, priorities, and tradeoffs across technical and non-technical audiences. * You build alignment across engineering, design, and leadership stakeholders. * You can write concise, effective product narratives that inspire action. * You can speak and present fluently in English to drive influence  Preferred Experience * Experience building CMS, developer platform, AI, productivity, or enterprise SaaS products. * Familiarity with modern AI development tools such as Claude Code, Cursor, Windsurf, GitHub Copilot, Spec Kit, or similar platforms. * Experience working in fast-paced product organizations where experimentation and iteration are core operating principles. * Knowledge of digital experience platforms, headless CMS architectures, content operations, or commerce technologies is a plus.   HOW WE BUILD PRODUCT AT VTEX  At VTEX, the PM role has already been reinvented. This isn't a vision — it's how we work today. PMs don't write specs for others to interpret. They bring the Vision and a product Brief. An AI agent — equipped with VTEX skills, tools, and an automatically provisioned testing environment — proposes the spec and builds a functional prototype. The PM tests it. We are operating with unprecedented speed. If you want to build at the frontier of the product profession — at unprecedented speed, with AI as your co-builder — this is the place.   ---------------------------------------------------------------------------------------------------------------------------------- ABOUT VTEX VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024). Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com. At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together. BENEFITS * Annual profit-sharing program and equity eligibility; * Health, dental, and life insurance with national coverage provided by VTEX; * Annual budget for professional development in Tech; * Language development incentive program (English, Spanish, Portuguese); * Flexible meal allowance; * Extended parental leaves; * Child-care assistance; * Flexible work schedule and remote-first culture; * Financial assistance to build your work-from-home setup; * Wellness program; * Free shipping on 1000+ VTEX stores #LI-remote

Databricks

P-1577 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. You will work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.  This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: * Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration * Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer * Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. * Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. * Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. * Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: * 6+ years experience in data engineering, data platforms & analytics, or software engineering * Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. * Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. * Documentation and white-boarding skills. * Experience working with enterprise clients and managing conflicts across a broad stakeholder range * Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. * Travel to customers 20% of the time * Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

VTEX

ABOUT THE ROLE As a Data Engineer on the Data Platform team, you'll help design, build, and evolve the data infrastructure that powers analytics, AI, and machine learning across VTEX. This is a hands-on, mid-level role: you'll own features end-to-end — from ingestion and processing to storage and consumption — taking on problems that come with real ambiguity, and delivering them with growing independence. We're not looking for someone who arrives knowing everything. We're looking for someone with a strong engineering foundation and a high ceiling: a fast learner with sharp problem-solving instincts who is energized by a data platform going through a deep transformation of its architecture and the way it's built. HOW WE WORK  The way we build has changed completely in the last year, and this role is defined by it. On this team, you don't measure yourself by lines of code written — you measure yourself by the value and quality of what you ship. AI tools are part of every step of our work: we direct them, review their output critically, and are accountable for the result. That makes two things essential: * Leveraging AI to scale your impact. We expect you to use AI extensively and well — designing workflows where agents handle the "known-knowns" (standard ETL, repetitive modeling) so your judgment goes to the hard, ambiguous problems. The goal is genuine leverage: producing at a level that simply wasn't possible a year ago. * Clarity as a contract. The quality of your written word is the quality of your AI output. If you can't describe a transformation clearly in a spec or doc, the code isn't ready to be written — by you or an agent. Strong technical writing and spec-driven thinking aren't "nice to have" here; they're how the work gets done and how it scales to teammates and agents. ABOUT THE TEAM Data Platform is the team inside VTEX's Data & Analytics org that builds the foundation the rest of the company's data products are built on. We're in the middle of a deep transformation: migrating from a Redshift-centric warehouse to a multi-engine Data Lakehouse on Apache Iceberg, moving our infrastructure to EKS, and re-architecting ingestion for scale and cost. We run a lot of initiatives in parallel, with high autonomy and a high quality bar. You won't be siloed on one thing. You'll typically own at least one larger initiative while moving smaller improvements forward alongside it. Depending on where you fit best, your work could span: * Data ingestion — migrating high-volume pipelines from Kinesis/Firehose to our new Kafka/AutoMQ-on-EKS stack. * Lakehouse migration & evolution — moving workloads onto Iceberg, Spark (EMR-on-EKS) processing, and new maintenance and consumption tooling. * Platform infrastructure — Kubernetes/EKS, compute efficiency, reliability. * Query & consumption — engines like Trino, Cube, DuckDB, and Athena, and smart routing across them. * Platform tech debt, observability, and engineering-process improvements that keep the platform fast, reliable, and cost-efficient. You'll also have the opportunity to join the team's on-call rotation, helping keep a platform that ingests billions of events a day healthy. WHO YOU ARE * You think like a platform builder. You're motivated by designing the architecture, services, and capabilities that other teams, products, and AI agents build on top of — not just by shipping a single pipeline. You care about the foundation as a product. * You can own a piece of the platform from design through to production with minimal supervision, taking on problems that carry real ambiguity. * You're comfortable with modern data architectures — data warehouses, data lakes, and data lakehouses — and understand the trade-offs that shape a platform others depend on. * You understand what makes a platform genuinely usable for its consumers: clean data modeling, well-designed data services and APIs, reliability, and performance at scale (relational and/or NoSQL). * You're proficient in Python and its data-processing ecosystem, SQL, and you produce work that is idempotent, reproducible, and documented — whether you wrote it or an agent did. * You've worked on a cloud data platform (AWS preferred; GCP/Azure welcome) and understand the realities of large datasets and performance optimization. * You have a data-driven mindset. You define how the impact of your work will be measured before you build it, and you validate outcomes against real-world results rather than assuming success. * You're proficient with AI assistants and code-generation tools, and you design solutions that thoughtfully consider when and how AI should be used to enhance value delivery — directing, reviewing, and critiquing AI-generated work rather than just accepting it. * You communicate clearly in writing — specs, docs, and design notes that other people (and agents) can act on — and you collaborate well across engineering and non-engineering peers. NICE TO HAVE * Real-time / streaming data processing (Kafka, AWS Kinesis, Flink). * Containerization and orchestration (Docker, Kubernetes/EKS). * Infrastructure-as-code (Terraform, CDK, CloudFormation). * Distributed processing with Spark. * Open table formats (Apache Iceberg, Delta, Hudi). * Data governance and security best practices (e.g., access control, multi-tenant isolation). * Building and deploying data APIs. Title note: We hire for potential and fit, not just title. Data Engineer is the most direct match, but if you come from an Analytics Engineering, Data Architecture, or Platform/SRE background with a strong data focus, you're welcome to join the process.   ---------------------------------------------------------------------------------------------------------------------------------- ABOUT VTEX VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024). Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com. At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together. BENEFITS * Annual profit-sharing program and equity eligibility; * Health, dental, and life insurance with national coverage provided by VTEX; * Annual budget for professional development in Tech; * Language development incentive program (English, Spanish, Portuguese); * Flexible meal allowance; * Extended parental leaves; * Child-care assistance; * Flexible work schedule and remote-first culture; * Financial assistance to build your work-from-home setup; * Wellness program; * Free shipping on 1000+ VTEX stores #LI-REMOTE