Senior Agent Architect (France)

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: 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. Your work is hands-on and code-first — you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes. This is not about maintenance. This is about 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 WHO YOU ARE: * 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 French language skills and professional fluency in English * Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration) OUR RECRUITING PROCESS: Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser WHY PARLOA? 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. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it. 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. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Databricks

Req ID: CSQ327R55 2 x New roles  Location: Remote - France Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers and AI Engineers at the forefront of this transformation. Partnering with Databricks' most strategic enterprise accounts, you will shape how leading organisations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.  As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. THE IMPACT YOU WILL HAVE: * Drive regional performance targets including billable utilisation, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio * Lead high-stakes enterprise engagements: partner with Account Executives, Engagement Managers, and Field Engineering leaders to position and deliver transformational PS programs spanning data migrations, AI/ML platforms, and advanced analytics * Champion delivery governance and operational rigor: establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE & AI Engineering practice * Act as executive escalation point for critical customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive resolution * Develop and retain exceptional technical talent: mentor Forward Deployed Engineers and AI Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth WHAT WE LOOK FOR: * People leadership experience managing high-performing technical delivery teams, solution architects, or professional services organisations with a proven track record of building excellence-driven cultures * Hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across all industry sectors * Strong executive presence and stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued 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.

Databricks

As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS ↔ Databricks alliance across the region — today a $220M trailing-year consumption book growing at +69.7% YoY, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the "better-together" technical narrative for Databricks on AWS. You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS — through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts. Reporting to: Director, Field Engineering (Partner Solutions Architect). WHAT THE ROLE OWNS: * AWS-sourced pipeline & EMEA AWS consumption growth — act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of +60% YoY growth / $297.86M target. * The EMEA AWS SME community — convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15–20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery. * Partner enablement at scale — sustain the training engine that feeds pipeline 2–3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training ↔ Databricks L&E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook. * Joint product contribution & reference architectures — own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch ("Moonwalk+"), Agent Bricks ↔ Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard. * Strategic-account unblock & multicloud arbitration — lead technical arbitration in EMEA's dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR. * Executive alignment & external brand — run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA. THE IMPACT YOU WILL HAVE: * Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts. * Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks' hyperscaler revenue mix. * Grow field-wide AWS capability — through the SME community, certification programmes, and reusable architectures — so AWS depth is distributed across the EMEA field rather than concentrated in one person. * Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market. WHAT WE LOOK FOR: * Extensive hands-on experience as a data professional in a modern, cloud-based data stack. * Hyperscaler-alliance experience (AWS strongly preferred) with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community. * AWS-specific technical depth — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue ↔ Unity Catalog federation. * At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model. * Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services. * Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks). * Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation). * Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms. * Managing multiple, frequently changing priorities across multiple teams. The role requires up to 40% travel across EMEA — to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent). 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.