Parloa

• Build the revenue engine together with the revenue growth team and our enterprise account executive team. • Find, analyze and evaluate new market growth opportunities and build outreach plans to seize new customer opportunities. • Build and take ownership of the sales pipeline, generating outbound leads and develop new sales opportunities. • Build and nurture relationships with clients, providing them with insights to Parloa's innovative conversational AI platform. • Assess client challenges, align with their needs, and showcase how Parloa's platform can deliver value and a strong return on investment.

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.

• Own value engineering across the full sales lifecycle, from early-stage value framing through late-stage deal support and post-live value validation • Build CFO-grade ROI models quantifying impact across cost reduction, productivity gains, revenue uplift, and customer experience improvements • Lead executive value discovery sessions and workshops, translating qualitative business priorities into quantified financial outcomes • Partner with Account Executives on strategic deals, shaping value narratives for prioritization, pricing, competitive positioning, and expansion • Enable value-led selling by developing standardized frameworks, benchmarks, and repeatable tooling (including Parloa Value Studio) • Translate complex financial analysis into clear, compelling executive narratives that resonate with CFOs, CIOs, and business leaders • Drive post-sale value realization by validating outcomes and supporting expansion through proven impact • Capture and operationalize field learnings into scalable GTM playbooks, value frameworks, and industry-specific benchmarks

• Lead the technical aspects of the sales cycle, from discovery and solution design to validation through Proof of Value and Proof of Concept engagements. • Design scalable, enterprise-ready solutions tailored to customer needs, ensuring feasibility and alignment with business goals. • Translate complex technical capabilities into clear business value, guiding both technical and non-technical stakeholders. • Partner closely with Enterprise Account Executives, co-owning accounts and supporting strategic sales initiatives within the territory. • Represent the voice of the customer by feeding insights into Product and Engineering to shape roadmap and improvements. • Work closely with Sales, Professional Services, Product, and global Solution Engineering teams to ensure a seamless customer journey.

Role Description As a Lead SAP Agent Architect at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. In this customer-facing role, you will support implementations where Parloa’s conversational AI platform must work reliably with SAP data, processes, and integration constraints - from design through testing and go-live readiness. You combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy: - Understand how Parloa agents should read from and write to SAP systems safely and predictably. - Partner with Forward Deployed Engineering and customer SAP teams to make that path buildable, testable, and production-grade. You will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (for example order management, customer data, case management, and transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails. Areas of Ownership - Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners with a focus on programs where SAP-backed systems and processes are in scope (for example SAP Service Cloud / CRM, and related enterprise SAP landscapes). - Leverage your knowledge of LLMs (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior, including cases where agent actions depend on SAP-sourced data and SAP business rules. - Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. - Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. - Build and configure integrations between customers’ systems and Parloa’s platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms, including SAP CX / SAP ERP surfaces where applicable) via integration platforms and APIs to deliver end-to-end enterprise solutions. - Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities, including SAP-specific connectivity, authentication, and data-access patterns (e.g., OData, REST/SOAP, OAuth2 / SAP IAS / XSUAA) where they materially affect agent behavior and reliability. - Identify and solve blockers together with other departments at Parloa (e.g., Product, Forward Deployed Engineering or Sales) and the customer, including coordination with customer SAP teams and SAP partner engineers when required to unblock delivery. - Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions — with explicit coverage for integration-dependent paths common in SAP environments (partial responses, authorization failures, latency, and transactional correctness). - Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team. Qualifications - 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work). - Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP. - Experience with conversational AI / contact center / CX technology in an SAP context. - Demonstrable SAP integration experience in live enterprise delivery contexts, including comfort operating across SAP BTP, S/4HANA, ECC, Service Cloud, CRM, and/or adjacent SAP CX stacks as they relate to agent-connected use cases. - Solid understanding of SAP APIs and data access patterns across one or more relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA. - Strong prompt engineering and LLM workflow design skills: you can analyze requirements and craft prompts/instructions for reliable, user-aligned behavior under enterprise constraints. - Analytical and structured communicator: explicit trade-offs, decisions, next steps; strong stakeholder and milestone discipline. - Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading enterprise API documentation. - Fluency in German and English is required. Nice to Have - Experience working with or for SAP system integrators in delivery or presales-adjacent engineering roles. - Familiarity with cloud landing zones commonly paired with SAP integrations (e.g., Microsoft Azure), Kubernetes concepts, and/or TypeScript/Node.js tooling for integration-heavy delivery. - Git-based collaboration and CI/CD exposure. How You Will Work With Parloa Teams You will work as a technical delivery partner alongside Forward Deployed Engineering (including SAP integration specialists) on shared technical outcomes: reliable connectivity, correct data contracts, and agent behavior that holds up in production. You are expected to work on integration mechanics where they directly impact agent quality: - API contracts, authentication and token flows, request/response shaping, pagination and filtering, error handling, latency and timeouts, and environment-specific constraints. - Debug, validate, and tighten those paths using structured tests and measurable evidence. This is not a “design-only” handoff model: you will configure, test, and iterate integration-connected agent capabilities with the same engineering rigor you apply to prompts and conversational structure, escalating to deeper platform engineering when the problem crosses into core product/runtime ownership. Our Recruiting Process - Talent Acquisition - Hiring Manager - Technical & Expert Interview(s) - Bar Raiser 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.

• Own end-to-end delivery for assigned Agentic AI customer projects (scope, schedule, budget, risk, quality). • Run the pod (TPM + FDE + Agent Architect) as a single accountable delivery unit. • Select and apply appropriate delivery methodology (Waterfall, Agile, or Hybrid) based on customer context and risk profile. • Drive project planning: work breakdown, dependencies, critical path, and resource allocations across internal and partner teams. • Maintain up-to-date project plan, RAID log (Risks, Assumptions, Issues, Dependencies) and change log. • Serve as primary delivery contact for customer project sponsors, IT, and business stakeholders. • Facilitate recurring governance: status calls, steering committees, UAT readouts, and go-live reviews. • Translate technical complexity into clear business impacts for executive stakeholders. • Manage scope and change requests, ensuring commercial and delivery impacts are understood and agreed. • Coordinate with Forward Deployed Engineers on integration readiness, environment setup, performance, and production stability. • Coordinate with Agent Architects on discovery, agent design, prompt/context strategy, and conversational tuning. • Collaborate with Sales, Solution Engineering, Product, and Support to ensure a seamless customer journey from sales handoff through BAU operations. • Where partners are involved (SI/GSI/BPO), manage co-delivery responsibilities, expectations, and escalation paths. • Plan and facilitate sprints, retros, and sprint reviews for Agile/hybrid projects; lead stage-gate reviews for Waterfall projects. • Enforce documentation standards (Charter, Design Docs, Runbooks, Handover Docs). • Ensure risk and compliance requirements (security reviews, data governance, regulatory constraints) are captured and incorporated into the plan. • Define and track deployment KPIs, such as: Time to Blueprint, Time to First Agent in UAT, Time to Go-Live, Milestone On-Time Rate, Defect and incident trends during QA/UAT and Hypercare. • Report delivery status, risk posture, and mitigation plans to internal and external stakeholders. • Contribute data to capacity and utilization models to inform planning and staffing.

• Lead and develop a team of Forward Deployed Engineers (FDEs) • Own capacity planning and staffing across projects • Drive engineering delivery management — dependencies, risk management, stakeholder alignment • Implement time tracking and delivery visibility • Provide technical leadership and escalation support • Create scalable field engineering practices • Translate recurring customer needs into productization proposals • Collaborate with customer teams to deliver outcomes

• Support the implementation of Parloa's AI solutions, enhancing customer experiences. • Craft effective AI workflows and build connections to enterprise systems. • Design, prototype, and validate conversational solutions for AI agent deployments. • Guide customers and partners in maximizing the value of Parloa's AI solutions. • Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. • Collaborate with Forward Deployed Engineers on complex integration scenarios.

• You will play a crucial role in developing go-to-market (GTM) strategies, launching marketing initiatives, empowering sales efforts, creating thought leadership, digging into market data, and establishing a thorough understanding of customers and competition. • Specifically, you will lead industry product marketing efforts in support of our commercial teams as they continue to land 7-figure deals. • You will help define Parloa’s overall market narrative for key industries, own the evolution of our industry ICP, and architect value frameworks and ROI narratives aligned to industry use cases. • Develop compelling content to support industry-focused sales initiatives and joint marketing with our largest partners, be the expert for enablement sessions, and guide communication efforts across multiple audiences and channels. • Drive our ecosystem’s industry-focused go-to-market strategies, empowering sales & partnership teams with sophisticated use cases and proof points based on research, infused competitive differentiators in collaboration with our Competitive Intelligence team. • Help amplify our thought leadership on AI agents and AI agent platforms and the industries where we thrive: help source ideas, translate technical concepts into the language of our buyers, create and/or collaborate on content, and speak on webinars and at events. • Lead strategic “big bet” industry initiatives by taking the helm on high-stakes cross-functional projects that help us keep growing revenue 3X.

• Drive new business growth by bringing Parloa’s agentic AI platform to leading enterprises across the region • Engage senior stakeholders and navigate complex sales cycles • Build a market from the ground up in Eastern Europe and the Alps • Own the full sales cycle from pipeline generation to closing • Identify opportunities and shape territory strategy • Lead complex, multi-stakeholder sales processes with senior decision-makers • Act as a trusted advisor to help customers understand the business impact of Parloa and agentic AI • Partner closely with internal teams to deliver a seamless buying experience • Ensure accurate forecasting and visibility of risks, gaps, and opportunities