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:

We are looking for a Technical Project Manager (TPM) to lead medium to high complexity deployments of our Agentic AI / conversational AI platform for enterprise customers. In this role, you’ll own the end-to-end delivery lifecycle—from scoping and planning through go-live and hypercare—working in a pod model alongside a Forward Deployed Engineer (FDE) and an Agent Architect (AA). You will be the primary owner of timeline, scope, risk, governance, and stakeholder communication, ensuring that customers successfully transition to an Agentic OS layer for their enterprise communications.

Areas of ownership:

Project Ownership & Delivery

• 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.

Customer & Stakeholder Management

• 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. 

Cross-Functional & Pod Coordination

• 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.

Methodology & Process Discipline

• 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.

Metrics & Reporting

• 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.

Who you are:

• 5–8+ years of experience in technical project management, program management, or delivery management for SaaS or enterprise software.
• Hands-on experience delivering solutions involving at least one of:
• Contact Center / CCaaS, UCaaS, conversational AI, IVA/IVR, or related CX platforms.
• Demonstrated ability to work across technical and business stakeholders (IT, Security, Operations, Business Owners).
• Solid understanding of software delivery methodologies (Agile/Scrum, Hybrid, and Waterfall) and when to apply each.
• Strong skills in project planning tools (e.g., Jira, Asana, Monday, MS Project, Smartsheet) and collaboration tools (e.g., Confluence, Notion, Miro).
• Excellent communication, facilitation, and conflict resolution skills.
• Proven track record managing multiple concurrent projects with global, distributed teams.
• Fluency in English & German is required

NICE TO HAVE:

• Experience delivering AI/ML, NLP, LLM-based, or Agentic AI solutions.
• Background in professional services or consulting working with enterprise clients.
• Familiarity with APIs, webhooks, event-driven architectures, cloud infra (AWS/Azure/GCP).
• Certifications: PMP, PRINCE2, CSM/CSPO, SAFe, or equivalent.
• Experience with partner co-delivery (SI, GSI, BPO, or ISV ecosystems).

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

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 Forward Deployed Engineer, VoIP your mission is to make Parloa work flawlessly in the real world of enterprise telephony. You are the deep VoIP/SIP expert embedded in our most critical customer integrations—owning the end-to-end technical path from “a phone rings” to “the bot answers,” across carriers, SIP trunks, SBCs, networks, and enterprise constraints.

You’ll operate where product, infrastructure, and customer reality meet: diagnosing tricky call flows, designing robust connectivity patterns, unblocking go-lives under pressure, and shaping how Parloa integrates with telephony ecosystems—both for customers and partners.

Areas of ownership:

• Own telephony integration projects: Lead the technical execution of VoIP/SIP connectivity for enterprise customers and partners (PoCs through production).
• Design reliable call paths: Architect integrations via SIP trunking providers, direct trunks, or enterprise telephony infrastructure—balancing latency, reliability, and security constraints.
• Debug complex issues end-to-end: Troubleshoot signaling and media problems (e.g., routing, codecs, DTMF, call transfers, failover), using logs and network traces to find root cause fast.
• Navigate enterprise constraints: Propose connectivity options when customers have strict firewall policies, limited exposed ports, or regulatory/security requirements.
• Partner deeply with customer engineers: Work directly with telecom, network, and platform teams to align architectures, test plans, and operational procedures.
• Support partner enablement: Help telephony partners integrate with Parloa, resolve escalations, and improve repeatability through patterns, tooling, and documentation.
• Engineer pragmatic solutions: Build small utilities, scripts, or lightweight services when needed to validate assumptions, automate diagnostics, or close integration gaps.
• Raise the bar on reliability: Define best practices for NAT traversal, resiliency, monitoring, and incident response in telephony-connected deployments.
• Shape the product: Translate field learnings into clear feedback for core engineering—turning recurring integration pain into platform improvements.

Who you are:

• 5+ years of professional experience in VoIP/telephony engineering, SIP integrations, telecom consulting, or adjacent roles with direct customer impact.
• Strong hands-on expertise with SIP-based integrations, call routing concepts, and real-world troubleshooting across networks and enterprise environments.
• Solid understanding of signaling vs. media flows, common failure modes, and diagnostic approaches (logs, SIP traces, packet captures).
• Practical experience working with SIP trunking providers, SBCs, enterprise PBX/contact center setups, or similar telecom infrastructure.
• Comfort operating in ambiguous, high-responsibility situations—able to own issues end-to-end and drive them to resolution with multiple stakeholders.
• Ability to communicate clearly with both engineers and non-telephony stakeholders, turning complex call-flow topics into actionable decisions.
• Builder mindset: you don’t just explain problems—you design the fix, validate it, and make it repeatable.
• Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Strong plus: Cloud-native experience (especially Azure), Kubernetes environments, and/or building integration tooling in a scripting or backend language.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary Ranges include OTE

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.

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/Lead Forward Deployed Engineer (SFDE) 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. Your mission: 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 Technology Stack: Python,TypeScript, Node.js, 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
• Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges include OTE

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.

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 Technical Support Engineer, you will play a key role in delivering reliable and high-quality customer experiences with Parloa’s conversational AI platform. Acting as a bridge between customers and internal teams, you’ll troubleshoot issues, guide users, and help ensure they get the most out of the product.

This is your opportunity to build strong technical expertise while making a direct impact, solving real customer problems, improving support processes, and growing into a trusted product expert.

Areas of ownership:

• Technical Support & Issue Resolution: Analyze and resolve customer issues, ensuring timely responses and clear, solution-oriented communication.
• Customer Enablement: Support customers in understanding and effectively using the platform, helping them unlock its full potential.
• Cross-functional Collaboration: Work closely with Customer Success, Product, Engineering, and external partners to resolve issues and improve the customer experience.
• Escalation & Ownership: Take ownership of technical issues end-to-end, escalating when needed and ensuring resolution is driven forward.
• Process & Documentation: Contribute to improving support processes, documentation, and best practices to enhance team efficiency.
• Customer Feedback Loop: Capture and structure customer feedback, sharing insights with Product and Engineering to inform improvements.

Who you are:

• 2–4 years of experience in a customer-facing technical support or similar role, ideally in a SaaS or technology environment
• Strong troubleshooting skills, with the ability to identify root causes and communicate solutions clearly
• Basic experience working with APIs, logs, and debugging tools
• Excellent communication skills, with the ability to explain technical topics to both technical and non-technical audiences
• Strong collaboration mindset and ability to work effectively across teams
• Ability to adapt quickly in a fast-paced, evolving environment
• Structured and solution-oriented approach to problem-solving

Our recruiting process

Talent Acquisition → Hiring Manager → Technical Interview → 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.

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) Partner Solution Engineer, you will play a key role in enabling Parloa’s partner ecosystem to successfully position, sell, and implement our conversational AI platform. You’ll work closely with strategic and emerging partners, guiding them through the technical journey from discovery and solution design to validation and deal support.

This is your opportunity to scale impact through others: equipping partners to confidently build, demo, and deliver AI-driven customer experiences while directly influencing pipeline growth and deal success.

Areas of ownership:

• Partner Technical Enablement: Enable partners to effectively position and deliver Parloa solutions by coaching them on discovery, demos, solution design, and scoping.
• Technical Sales Support (Partner-led): Support partner-led and co-sell opportunities by leading technical discovery, solutioning, and validation throughout the pre-sales cycle.
• Solution Design & Architecture: Guide partners in designing scalable, enterprise-ready solutions aligned with customer needs and business outcomes.
• Partner Advisory: Act as a trusted technical advisor to partners, translating Parloa’s platform capabilities into clear business value for both technical and non-technical stakeholders.
• Ecosystem Collaboration: Work closely with Sales, Partnerships, Product, and Customer teams to drive successful partner engagements and aligned go-to-market execution.
• Product & Feedback Loop: Represent partner and customer insights to Product and Engineering, contributing to roadmap discussions and continuous improvement.

Who you are:

• 5+ years of experience as a Solution Engineer or in a similar customer-facing technical role within SaaS or enterprise technology
• Strong technical foundation across APIs, cloud environments, integrations, and enterprise architecture
• Experience supporting complex, multi-stakeholder sales cycles, ideally in partner or indirect sales models
• Ability to translate technical concepts into clear business value and outcomes
• Excellent communication and presentation skills, with confidence in both technical and executive conversations
• Strong coaching and enablement mindset, with the ability to guide partners effectively
• Structured and solution-oriented approach, with the ability to navigate ambiguity and multiple stakeholders
• Technical curiosity and interest in AI-driven products and customer experience
• Native or bilingual in English

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.

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 Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services. 

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges includes OTE

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.

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 Lead Technical Support Engineer, you will play a key role in delivering reliable and high-quality customer experiences with Parloa’s conversational AI platform. Acting as a bridge between customers and internal teams, you’ll troubleshoot complex issues, guide users, and ensure they unlock the full value of our product.

This is your opportunity to combine technical depth with customer impact—solving real problems, improving how support operates at scale, and shaping the overall customer experience through insights from the field.

Areas of ownership:

• Technical Support & Troubleshooting: Own and resolve customer issues end-to-end, ensuring timely, high-quality responses and sustainable solutions.
• Escalation Management: Act as an escalation point for complex technical challenges, working closely with Product and Engineering to drive resolution.
• Customer Enablement: Guide and educate customers on the effective use of the platform to help them unlock its full potential.
• Process & Quality Improvement: Contribute to improving support processes, documentation, and best practices to enhance efficiency and consistency.
• Knowledge Management: Create and maintain runbooks, troubleshooting guides, and internal resources to scale team knowledge.
• Customer Feedback Loop: Capture and translate customer insights into actionable feedback for Product and Engineering.

Who you are:

• 5–8 years of experience in a customer-facing technical support role, ideally within SaaS or enterprise technology environments
• Strong troubleshooting skills, with the ability to analyze issues and communicate solutions clearly to both technical and non-technical audiences
• Experience working with APIs, logs, and debugging tools
• Structured, data-informed approach to problem solving, using metrics to prioritize and improve outcomes
• Ability to thrive in fast-paced, evolving environments with a high degree of ownership and adaptability
• Strong collaboration skills and experience working cross-functionally with Product, Engineering, and Customer teams
• Experience coaching or mentoring others, contributing to team development

Our recruiting process

Talent Acquisition → Hiring Manager → Technical Interview → 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.

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 Value Consultant, you will own the financial narrative behind Parloa’s most strategic enterprise deals by shaping how customers understand, quantify, and commit to the value of agentic AI. You’ll operate at the intersection of Sales, Solution Engineering, and executive stakeholders, turning AI capabilities into clear, defensible business outcomes.

This is your opportunity to shift conversations from features to impact by building CFO-grade business cases, influencing high-stakes decisions, and making Parloa one of the easiest partners to invest in through clarity, rigor, and value transparency.

Areas of ownership:

• Value Engineering & Deal Support: Lead value engagements across the sales cycle, from early-stage value framing to late-stage deal support and post-live validation for strategic enterprise opportunities.
• Business Case Development: Build robust, CFO-grade ROI models that quantify impact across cost reduction, productivity, revenue, and customer experience.
• Executive Value Discovery: Facilitate value discovery sessions and workshops with senior stakeholders, translating strategic priorities into measurable financial outcomes.
• Value-led Selling Enablement: Develop frameworks, narratives, and tooling that enable Sales and Solution Engineering to lead confident, value-driven conversations.
• Strategic Deal Partnership: Support high-priority deals and lighthouse accounts by shaping value narratives for positioning, pricing, and expansion.
• Scalability & Tooling: Translate field insights into repeatable models, benchmarks, and playbooks to scale value engineering across the organization.

Who you are:

• 5–8+ years of experience in value consulting, value engineering, or commercial advisory roles within enterprise SaaS or B2B environments
• Proven track record of owning ROI models and business cases that influenced €1M+ enterprise deals involving finance and procurement stakeholders
• Strong financial modeling expertise (e.g. NPV, IRR, TCO, payback), with the ability to build, defend, and adapt models in real time
• Experience working in complex, multi-stakeholder enterprise sales environments with ambiguity and time pressure
• Strong executive presence, with the ability to translate complex analysis into clear, compelling business narratives
• Advanced Excel or Google Sheets skills for multi-scenario modeling, combined with strong presentation capabilities
• High level of ownership and autonomy, with the ability to operate independently while partnering closely with cross-functional teams

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.

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 Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

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.

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, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.

About the Role:

As a Senior Value Consultant at Parloa, you own the financial and strategic narrative behind our most critical enterprise AI deals. You will architect and validate CFO-grade business cases, ensuring our customers clearly understand—and can defend—the economic impact of adopting Parloa.

This is a highly strategic, customer-facing role where you operate at the intersection of Sales, Solutions Engineering, and executive stakeholders. You translate complex AI capabilities into measurable business outcomes, enabling a shift from feature-led selling to value-led decision-making.

You will work on high-impact, $1M+ enterprise opportunities, partnering closely with Account Executives and Solution Engineers to shape deal strategy, influence executive stakeholders, and drive confident investment decisions.

This is your opportunity to define how value is quantified and communicated in enterprise AI, helping global organizations justify, adopt, and scale agentic AI with clarity and confidence.

Areas of Ownership:

• 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

Who You Are:

• You bring 5+ years of experience in value consulting, value engineering, or commercial advisory roles within enterprise B2B SaaS or software environments
• You have a proven track record of building and owning ROI models and business cases that influenced $1M+ enterprise deals involving finance and procurement stakeholders
• You have strong financial modeling expertise (e.g., NPV, IRR, TCO, payback, multi-year scenarios) and can confidently defend assumptions in executive conversations
• You thrive in complex, ambiguous environments with incomplete data, tight timelines, and multi-stakeholder decision processes
• You have executive presence and can translate complex analysis into clear, persuasive business narratives
• You are highly autonomous, with a strong ownership mindset, while collaborating effectively across Sales, Solutions Engineering, and GTM teams
• You are hands-on and pragmatic, comfortable building models from first principles rather than relying on templated approaches

Nice to Have:

• Industry experience in Travel, Insurance, Healthcare, Financial Services, or Retail, especially in large-scale customer operations environments
• Exposure to contact center operations or CX technology ecosystems (e.g., CCaaS, CRM, workforce management, analytics platforms)
• Background in enterprise SaaS, AI companies, or top-tier consulting firms supporting complex enterprise sales cycles
  
  

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Case Study / Presentation → Bar Raiser

Travel:

Travel up to ~40% to support enterprise customers, primarily across the US

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.

Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package.

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, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.

About the Role:

As the Software Engineer, GTM at Parloa, you will reimagine how our Go-To-Market organization operates by building the systems, tools, and workflows that power it.

This is not a role focused on configuring SaaS tools or maintaining existing systems. You will design and build custom solutions from the ground up that directly improve how GTM operates across the full lifecycle.

You will work closely with Engineering, Product, and GTM leadership to identify high-impact problems and turn them into working systems. You will build across our stack, which includes TypeScript, Node.js, Python, React, NoSQL databases, and modern AI tooling, to create internal tools, integrations, and automated workflows. You will partner directly with our Lead Engineer for Special Projects to solve problems and ship quickly.

At Parloa, AI is embedded in how we build. You will use AI as a core part of your development process, moving rapidly from idea to prototype to production and pushing tools like Claude, Cursor, and Codex to their limits.

This is your opportunity to own problems end to end, operate with a high degree of autonomy, and build systems that directly impact how a company scales revenue. You will work at the intersection of engineering and business, translating strategy into systems that drive measurable outcomes.

Areas of Ownership: 

• Build and own internal systems that power how Parloa’s GTM organization operates end to end, from lead flow through customer expansion
• Translate GTM strategy and business problems into scalable technical solutions, including custom tools, workflows, and system architectures
• Design and develop AI-powered workflows that improve efficiency, decision-making, and execution across the entire GTM motion
• Rapidly prototype new ideas using AI-assisted development, validate impact, and evolve successful solutions into production-grade systems
• Identify bottlenecks, inefficiencies, and manual processes across the GTM lifecycle and replace them with automated, reliable systems
• Build and maintain integrations across core GTM systems using APIs, webhooks, and data pipelines to ensure consistent and accurate data flow
• Own the quality, scalability, and maintainability of the systems you build, balancing speed of execution with long-term reliability
• Partner directly with GTM and company leadership to prioritize, scope, and deliver high-impact initiatives
• Enable GTM teams to operate more independently by building tools that are intuitive, accessible, and well-documented for non-technical users

Who You Are:  

• Experience building and maintaining high-quality software systems or applications, with the ability to work across the stack and take solutions from prototype to production
• Deep experience with AI-native development workflows, including regular use of tools such as Claude, Cursor, or Codex
• Strong proficiency in TypeScript or JavaScript and Python
• Experience building and integrating systems using APIs, MCP, CLI tools, webhooks, and OAuth
• Ability to operate effectively in ambiguous environments, defining problems as well as solving them without detailed specifications
• Strong communication skills with the ability to work closely with non-technical stakeholders and translate technical solutions into business value
• Ability to move quickly while maintaining high standards for reliability, scalability, and code quality
• Strong understanding of version control and CI/CD practices, including Git workflows, branching strategies, and automated testing and deployment pipelines such as GitHub Actions

Nice to Have: 

• Experience working with CRM systems, project management tools, or BI platforms in a production environment
• Experience building browser extensions or developer productivity tools
• Active contributions to open-source AI tooling or developer communities
• Experience with containerization technologies such as Docker or Kubernetes for packaging and deployment

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.

Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package.

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, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.

About the role:

As a Partner Solution Engineer at Parloa, your mission is to accelerate partner success and drive Parloa’s revenue growth. You will engage with our ecosystem of partners to increase pipeline, enable them to confidently discover, demo, and design AI Agent solutions, and drive integration with key technology partners.

You act as a trusted technical and solution advisor—translating Parloa’s platform capabilities into clear business value, building long-term partner relationships, and ensuring partners are successful at every stage of the pre-sales journey.

By empowering partners to succeed, you directly impact pipeline creation, deal quality, and long-term customer outcomes.

This is your opportunity to be at the center of Parloa’s partner ecosystem—driving technical excellence, unlocking new revenue opportunities, and shaping how AI Agents are designed, sold, and delivered at scale.

Areas of ownership: 

• Enable partners to confidently position, demo, and implement Parloa’s platform across diverse customer use cases

• Lead technical discovery and translate business needs into scalable AI agent solutions

• Support POCs, demos, and technical validations to drive successful deal progression

• Act as a hands-on advisor in designing solution architectures using Parloa’s platform, sandbox, and APIs

• Build partner capabilities over time to independently drive high-quality opportunities

• Partner closely with Sales and Partnerships to support partner-led and co-sell motions

• Shape solution design to align technical feasibility with customer and commercial goals

• Communicate complex technical concepts clearly across technical and business audiences

• Drive technical win conditions throughout the deal lifecycle

• Build and maintain strong relationships with strategic and emerging partners

• Identify and develop expansion opportunities across use cases, customers, and regions

• Act as a bridge between partners and internal teams (Sales, Product, Customer)

• Support development of scalable enablement assets and best practices

• Capture and translate partner and customer feedback into actionable product insights

• Identify trends, gaps, and opportunities to inform roadmap and go-to-market strategy

• Collaborate cross-functionally to refine messaging, positioning, and solution approach

• Contribute to scaling Parloa’s partner ecosystem as a core growth channel

Who You Are:

• You bring 5+ years of experience in Solutions Engineering, Solutions Consulting, or a similar pre-sales role, ideally in SaaS, AI, CCaaS, or enterprise software

• You have a strong technical foundation and are comfortable leading discovery, solution design, and technical validation (POCs, demos, architecture)

• You can balance hands-on technical depth with high-level solution storytelling and business value articulation

• You are comfortable working in enterprise sales environments, aligning technical solutions to commercial outcomes

• You are a strong communicator who can engage both technical audiences and senior business stakeholders

• You take a proactive, collaborative approach and enjoy enabling partners, customers, and internal teams

Nice to Have:

• Experience working with technology or services partners in a pre-sales or enablement capacity

• Familiarity with Conversational AI, contact center technology, VOIP, chatbots, or related domains

• Knowledge of Salesforce (SFDC) or other CRM tools

• Background in digital transformation or CX optimization initiatives

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.



Compensation for this role is structured as On-Target Earnings (OTE), consisting of a base salary and performance-based variable component, in addition to an equity package.