• Assist in presenting Snowflake’s technology and vision to diverse audiences, from technical contributors to business leaders. Develop your skills in aligning technical solutions with business outcomes. • Collaborate with customers to plan and execute technical evaluations and proof-of-concept demonstrations, supported by senior team members. Help tailor solutions to customer needs while learning how to communicate business value effectively. • Partner with customers and technical champions to foster trust and collaboration. Build your expertise in championing Snowflake’s capabilities and contributing to long-term customer success. • Gain hands-on experience through tailored demos, hands-on labs, and Snowflake’s extensive learning resources. Stay informed about industry trends, competitive offerings, and emerging technologies. • Work closely with Account Executives, Marketing, and Snowflake’s partner ecosystem to ensure customers realize the value of Snowflake. • Take advantage of mentorship opportunities, on-the-job learning, and a team that’s invested in your development.

monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition. As a Forward-Deployed Engineer in the Services organization, you'll be a key technical partner for our most strategic customers. Your focus is high impact: driving AI transformation, help drive growth for our strategic customers and translating real world complexity into product insights. You will deeply embed with a single high value customer, working with C-level and technical teams to architect solutions that redefine their work. You'll lead customer transformations leveraging AI capabilities in complex, mission critical use-cases. You'll own the full cycle of a delivery from understanding customer needs and business pains, architecting and designing their solution, build, and roll it out to the teams. This foundational role will help define the future of forward-deployed engineering at monday.com. About the Role As a monday.com Forward-Deployed Engineer, you will drive strategic transformation, AI adoption, and product strategy, directly impacting revenue, roadmap, and customer trust. You will partner deeply with one strategic customer, advising executives on AI-driven operational change, and feeding insights back to the product team. This autonomous role offers high visibility and the chance to define its future. What You'll Do While you may prototype, your main leverage is through architecture, judgment, and influence, connecting customer reality to product direction. - Strategic Transformation: Embed with C-level stakeholders to architect end-to-end AI solutions and scalable workflows that solve complex business pains - Cross-Functional Leadership: Partner with Sales and CS as a technical authority to guide account strategy and translate customer needs into Product Requirement Documents (PRDs) - Implementation Excellence: Act as the platform expert—designing sophisticated configurations, prototyping custom scripts, and overseeing the narrative from pilot to full rollout Requirements - Experience leading hands-on projects from A to Z in a production environment, preferably client-facing - 5+ years of previous experience building web applications from scratch using TypeScript/Node.js/React is preferred - Previous experience in Full-stack development - Background in Solution Architecture or Software Engineering with a strong grasp of AI/LLM workflows and systems thinking - Experience navigating C-suite relationships and the ability to influence executive decision-making in ambiguous environments - Entrepreneurial, fast-moving, and focused on long-term impact rather than just immediate fixes - Professional proficiency in Portuguese and English. Spanish is recommended.

Role Description As a Senior Forward Deployed Engineer at Parloa, you’ll be on the front lines of enterprise AI adoption — delivering cutting-edge technology into some of the most complex environments in the world. This is your opportunity to lead end-to-end deployment projects from an engineering perspective — not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale. FDEs are our in-field product engineers. You will: - Build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. - Engage in hands-on and code-first work — building, debugging, and engineering solutions directly in the field. - Define how customers experience Parloa and shape what our product becomes. - Focus on engineering what makes it work in production, under real-world enterprise constraints, at speed and scale. Areas of ownership: - Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments. - Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security. - Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements. - Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery. - Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes. - Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers. - Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility. - Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success. - Shape the product: Act as the feedback loop between the field and our core engineering teams — turning deployment learnings into platform evolution. - Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value. Our Tech Stack: - Typescript - NodeJS - OpenAI - Microsoft Azure - Kubernetes - Docker - Terraform - MongoDB - MySQL - Redis - Kafka - MCP Qualifications - 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact. - Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments. - Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems. - Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems. - A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world. - Degree in Computer Science, Engineering, or related technical field. - Native or near-native Spanish language skills and professional fluency in English. Requirements - Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration). Benefits We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them. We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one. Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. We provide equal opportunities to all qualified applicants regardless of race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

• Partner with the sales team to understand customer's technical requirements and deliver tailored, code-level product demonstrations • Design and execute custom API integrations and proof-of-concept environments based on each client's specific tech stack and use cases • Respond to technical queries throughout the sales process — covering API architecture, authentication, webhooks, and data flows — acting as the bridge between customers, sales, and engineering • Build and maintain sandbox environments, sample code, and Postman collections to accelerate prospect technical evaluation • Collaborate with Product and Engineering to relay field feedback on API design and developer experience and influence product roadmap decisions • Lead and contribute to RFP/RFI responses and all technical documentation — architecture diagrams, integration guides, and security questionnaires — required during the sales cycle • Troubleshoot integration issues in real time during technical evaluations, diagnosing errors across API calls, webhooks, and payment flows • Build credibility with technical and non-technical stakeholders alike by communicating complex payment orchestration concepts with clarity • Identify patterns across prospects' technical objections to surface insights that improve how we sell and how we build.