Product Implementation Lead (Adoption) - Freight Operations (m/f/d)

Langdock

ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator. ABOUT THE ROLE AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in. As an AI Adoption Engineer in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering: discovering high-value use cases, scoping them, building them, and making sure they stick. You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own. This is a technical role. You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a AI Adoption Engineer, you set the standard for what that looks like. You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture. You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen. WHAT YOU WILL DO * Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer. * Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain. * Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer. * Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently. * Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects. * Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps. * Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows. WHAT WE'RE LOOKING FOR You have 3+ years of experience in a technical, customer-facing role - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product. You have experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side: building demos that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible. You are comfortable running workshops with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications. You understand AI deeply and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You write production-quality code in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup. Agentic coding tools are a core part of how you operate. You are fluent in English (C1+). German is a strong plus, since many of our customers are German-speaking enterprises. Bonus: you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus. HOW WE WORK * 100% on-site in our Berlin office (Greifswalder Strasse 212) * Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed * We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture * We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here * We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work WHAT WE OFFER * Competitive salary with equity participation * Free lunch and dinner, every day in the office * Premium gym access (right around the corner) * Relocation support for those moving to Berlin * A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe HOW TO APPLY Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV. Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.

Langdock

ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator. ABOUT THE ROLE AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in. As a Solutions Engineer in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering: discovering high-value use cases, scoping them, building them, and making sure they stick. You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own. This is a technical role. You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a Solutions Engineer, you set the standard for what that looks like. You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture. You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen. WHAT YOU WILL DO * Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer. * Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain. * Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer. * Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently. * Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects. * Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps. * Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows. WHAT WE'RE LOOKING FOR You have 3+ years of experience in a technical, customer-facing role - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product. You have experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side: building demos that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible. You are comfortable running workshops with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications. You understand AI deeply and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You write production-quality code in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup. Agentic coding tools are a core part of how you operate. You are fluent in English (C1+). German is a strong plus, since many of our customers are German-speaking enterprises. Bonus: you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus. HOW WE WORK * 100% on-site in our Berlin office (Greifswalder Strasse 212) * Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed * We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture * We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here * We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work WHAT WE OFFER * Competitive salary with equity participation * Free lunch and dinner, every day in the office * Premium gym access (right around the corner) * Relocation support for those moving to Berlin * A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe HOW TO APPLY Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV. Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.

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: The Infrastructure Platform team owns the foundation that every other engineering team at Parloa builds on: cloud infrastructure, provisioning and orchestration, CI/CD, and the runtime environments that our AI agents execute in. Its current flagship initiative, Deployment Stamps, is re-platforming how Parloa delivers isolated, reliable, and compliant environments across public cloud and customer-owned private cloud and on-premises infrastructure. We are looking for a Staff or Principal Product Manager to own the product management for this team. This is one of the most technical product roles at Parloa. You will not be writing user stories for a UI, you will be shaping the architecture-adjacent product strategy for a platform whose "customers" are largely internal engineering teams and the most demanding enterprise security, compliance, and infrastructure stakeholders on the other side of the table. This is a builder role in a domain where the playbook is still being written. If you want to define what "good" looks like for enterprise-grade AI infrastructure, data residency and sovereignty, isolation, and a multi-cloud operating model, and you are energized by deeply technical problems and technical stakeholders, this is it. A note on background: We have a strong preference for candidates who have spent time as an Engineering Manager, Tech Lead, or senior engineer before moving into product. This domain rewards genuine technical depth and the instinct to earn trust with engineers by speaking their language. A former EM who has since developed strong product judgment is exactly the profile we have in mind.   AREAS OF OWNERSHIP: * Own the Infrastructure Platform product strategy and roadmap: translating reliability, isolation, data-residency, and multi-cloud goals into a sequenced, outcomes-driven plan that engineering can execute against. * Be the voice of internal and enterprise customers: your primary users are Parloa engineering teams (developer experience, deployment, runtime) and your most demanding external stakeholders are enterprise CISOs, CIOs, and infrastructure leaders with strict compliance and sovereignty requirements. * Drive discovery and write the PRDs that frame outcomes (isolation, compliance, availability) without over-prescribing implementation, then partner with engineering leads and architects to pressure-test feasibility and trade-offs. * Own the hard prioritization calls: balancing near-term delivery milestones against longer-term architecture evolution, and making explicit, defensible decisions about scope, sequencing, and risk. * Define and track the metrics that matter for a platform: availability and SLA attainment, provisioning lead time, deployment frequency, change-failure rate, adoption by internal teams, and developer satisfaction. * Establish mechanisms, not just features: repeatable processes for region readiness/certification, release management, and cross-team alignment that scale as the platform grows from a handful of environments to many. * Align a broad, technical stakeholder set: Engineering, Architecture, Security, Legal/Compliance, and the customer-facing teams (Deployment, Sales Engineering) who need to position the platform's capabilities to enterprise accounts. * Connect the platform to revenue: articulate how infrastructure capabilities (e.g., data residency, private cloud, isolation tiers) unlock enterprise deals, new regions, and expansion, and feed that back into prioritization. * Communicate clearly across technical and business contexts: equally comfortable in an architecture review and in a leadership readout.   WHO YOU ARE: * A technical-leadership background. 7+ years of combined engineering and product experience for Staff (L4); 10+ years with demonstrated product leadership for Principal (L5). Prior experience as an Engineering Manager, Tech Lead, or senior/staff engineer is strongly preferred. * Deep infrastructure fluency. Hands-on familiarity with cloud platforms (Azure, AWS, and/or GCP), Kubernetes, infrastructure-as-code, CI/CD, networking, identity/auth, and observability. You can read an architecture diagram, follow a design trade-off, and hold your own with principal engineers. * Platform product judgment. You understand the difference between building a feature and building a platform capability, and you instinctively design for reusability, operability, and the long-term developer experience rather than one-off solutions. * Comfort with ambiguity and complexity. You can take an under-defined, multi-team initiative with competing constraints and bring clarity, sequencing, and momentum, designing and delivering long-term solutions with limited oversight. * Strong product fundamentals. Discovery, roadmapping, writing crisp PRDs and narratives, defining measurable success criteria, and running a disciplined delivery process with engineering. * Stakeholder leadership and influence without authority. A track record of aligning engineering, security, and business stakeholders around a shared technical direction and resolving contentious trade-offs. * Excellent written and verbal communication tailored to audiences of varying technical depth, from engineers to enterprise security reviewers to company leadership. * An ownership mindset and bias for action: you take responsibility for outcomes end-to-end and move with appropriate urgency. NICE TO HAVE * Direct experience with enterprise data residency, sovereignty, or compliance requirements (e.g., regulated industries, regional data boundaries). * Familiarity with multi-cloud or hybrid / on-premises delivery, and the patterns (and pitfalls) of orchestration at scale. * Experience building internal developer platforms and applying Team Topologies / platform-as-a-product thinking. * Background in B2B SaaS infrastructure, cloud, or developer-tools companies. * Exposure to AI/ML platform or runtime infrastructure.   OUR RECRUITING PROCESS: Recruiter Interview → Hiring Manager Interview → 360° Interviews → Case Interview → Bar Raiser Interview   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.