Principal Search Consulting Architect

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 Enterprise AI Adoption Manager, you are the person who guides companies through that shift - as part of our Customer Success organization, working alongside Solution Engineering. You build the trust that makes companies willing to change. You act as a strategic sparring partner, helping customers navigate the complexity of AI transformation, challenge their assumptions, and make decisions with confidence. You own a portfolio of enterprise accounts: adoption, expansion, retention, and everything in between. Your job is to directly shape how AI lands inside each customer - and how deep it goes. You will work closely with Solutions Engineering to deliver real value and with Product to bring the customer's voice into what we build next. You will have genuine influence over both. And you will use our own product to do your job better than any traditional Customer Success setup could. Everyone at Langdock builds AI agents and workflows to automate their own work. You will too. That is not an add-on. It is part of how we operate. At Langdock, adoption goes beyond seat activation. It is the moment AI becomes how a team works - and our job is to get every customer there. WHAT YOU WILL DO * Own a portfolio of enterprise accounts and be accountable for adoption, retention, and expansion across users, use cases, and deployment scope * Drive measurable AI transformation inside each customer - from first use case to company-wide rollout * Host engaging workshops that inspire and translate directly into new use cases, active users, and visible momentum inside the customer * Navigate complex enterprise stakeholder landscapes: find the champions, manage the blockers, build multi-threaded relationships * Build structured account plans for your highest-value customers: stakeholder maps, health assessments, growth opportunities, risk mitigation * Run strategic customer conversations - QBRs, executive business reviews, and proactive check-ins - that are grounded in data and outcomes * Work cross-functionally with Solutions Engineering, Product, and Sales to translate customer needs into internal action * Build AI agents and automated workflows to manage your own book of business - we expect you to systematically eliminate manual work from your role, not just use AI as a productivity boost * Be the voice of the customer internally without losing sight of Langdock's product direction - our principle is Product > Customer Success > Marketing > Sales WHAT WE'RE LOOKING FOR You have 5+ years of experience in a customer-facing role with enterprise customers - whether that is Account Management, Customer Success, or a consultative post-sales role. You have worked with real technical products, not just lightweight SaaS tools, and you understand what it takes to drive adoption in complex organizations. You don't just understand AI - you build with it. You have hands-on experience creating agents, automating workflows, and using AI to do work that would normally require more people. You can talk credibly about model selection, data privacy, and integration architectures with technical stakeholders because you've dealt with these questions yourself. You treat your own role as a proving ground for what AI can do in enterprise organizations. You are commercially strong. You know how to have renewal and expansion conversations, navigate multi-stakeholder environments, and build relationships across all levels of an enterprise organization - from end users to C-level. You are strategic and data-driven. You zoom out from the day-to-day to see the bigger picture for an account. You work with CRM data, usage signals, and health scores - and you turn numbers into stories that drive decisions. Customers see you as a strategic sparring partner on their AI journey, not just a vendor contact. You take ownership of your book of business and you don't wait to be told - because the customer's transformation depends on you, not on a process. You are fluent in German (C1+) and English. Bonus: you come from an AI-native company, technical consulting (e.g. QuantumBlack), or an early-stage startup. Founder or early-employee experience 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 Enterprise Customer Success Manager at Langdock, you are the person who guides companies through that shift - as part of our Customer Success organization, working alongside Solution Engineering. You build the trust that makes companies willing to change. You act as a strategic sparring partner, helping customers navigate the complexity of AI transformation, challenge their assumptions, and make decisions with confidence. You own a portfolio of enterprise accounts: adoption, expansion, retention, and everything in between. Your job is to directly shape how AI lands inside each customer - and how deep it goes. You will work closely with Solutions Engineering to deliver real value and with Product to bring the customer's voice into what we build next. You will have genuine influence over both. And you will use our own product to do your job better than any traditional Customer Success setup could. Everyone at Langdock builds AI agents and workflows to automate their own work. You will too. That is not an add-on. It is part of how we operate. At Langdock, adoption goes beyond seat activation. It is the moment AI becomes how a team works - and our job is to get every customer there. WHAT YOU WILL DO * Own a portfolio of enterprise accounts and be accountable for adoption, retention, and expansion across users, use cases, and deployment scope * Drive measurable AI transformation inside each customer - from first use case to company-wide rollout * Host engaging workshops that inspire and translate directly into new use cases, active users, and visible momentum inside the customer * Navigate complex enterprise stakeholder landscapes: find the champions, manage the blockers, build multi-threaded relationships * Build structured account plans for your highest-value customers: stakeholder maps, health assessments, growth opportunities, risk mitigation * Run strategic customer conversations - QBRs, executive business reviews, and proactive check-ins - that are grounded in data and outcomes * Work cross-functionally with Solutions Engineering, Product, and Sales to translate customer needs into internal action * Build AI agents and automated workflows to manage your own book of business - we expect you to systematically eliminate manual work from your role, not just use AI as a productivity boost * Be the voice of the customer internally without losing sight of Langdock's product direction - our principle is Product > Customer Success > Marketing > Sales WHAT WE'RE LOOKING FOR You have 5+ years of experience in a customer-facing role with enterprise customers - whether that is Account Management, Customer Success, or a consultative post-sales role. You have worked with real technical products, not just lightweight SaaS tools, and you understand what it takes to drive adoption in complex organizations. You don't just understand AI - you build with it. You have hands-on experience creating agents, automating workflows, and using AI to do work that would normally require more people. You can talk credibly about model selection, data privacy, and integration architectures with technical stakeholders because you've dealt with these questions yourself. You treat your own role as a proving ground for what AI can do in enterprise organizations. You are commercially strong. You know how to have renewal and expansion conversations, navigate multi-stakeholder environments, and build relationships across all levels of an enterprise organization - from end users to C-level. You are strategic and data-driven. You zoom out from the day-to-day to see the bigger picture for an account. You work with CRM data, usage signals, and health scores - and you turn numbers into stories that drive decisions. Customers see you as a strategic sparring partner on their AI journey, not just a vendor contact. You take ownership of your book of business and you don't wait to be told - because the customer's transformation depends on you, not on a process. You are fluent in German (C1+) and English. Bonus: you come from an AI-native company, technical consulting (e.g. QuantumBlack), or an early-stage startup. Founder or early-employee experience 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.

Peloton

Senior Software Engineer, Content AI Warsaw, PL The Senior Software Engineer acts as the technical lead for an agile team, focusing on the design and development of scalable microservices for Peloton's core features across all platforms (Bike, Tread, Strength, and Digital). The Content AI Team is responsible for training and hosting various models in the domains of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). This role is highly collaborative, requiring close partnership with Product, Design, and QA throughout the development lifecycle. The candidate will be responsible for designing, developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and captions, which are crucial for platform expansion and international growth. In addition to technical delivery, excellent communication and engineering skills are essential for providing guidance to junior team members and effectively coordinating with other stakeholders, such as Technical Program Managers (TPM). YOUR DAILY IMPACT AT PELOTON * Design, develop and operate business-critical APIs and services with a focus on high availability, low latency, security and scalability * Mentor junior engineers in the team and communicate effectively with TPM and Product * Write understandable, well tested code with an eye towards maintainability and scalability * Architect and build reusable code, libraries, and patterns for use across teams * Propose, experiment, and implement solutions to scale services while meeting business and product requirements.  * Leverage production monitoring/profiling/tracing and load testing tools to discover bottlenecks and using techniques such as data modeling, query optimization, and caching to address the bottlenecks * Lead technical discussions during architecture meetings, design reviews, and task breakdown * Identify common patterns as well as develop and foster development of reusable components and standards across teams * Champion and implement industry best practices such as feature toggles, CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process * Mentor and coach engineers through code reviews, pair programming, and technical guidance * Participate in on-call rotations and lead incident response efforts to maintain system reliability * Collaborate and partner with cross-functional team members from Product, Design, and QA whilst serving as a domain expert in your area YOU BRING TO PELOTON * MS or BS degree in fields such as Computer Science, Engineering or Mathematics. * 6+ years of software development experience building high-performance, highly scalable backend cloud application systems * Expertise in Kotlin, Python, or similar languages * Strong experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python) * Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases * Hands-on experience with Elastic Search query optimization and scaling * Experience with caching systems such as Memcache, Redis * Experience with request processing such as REST, gRPC, or GraphQL * Proven ability to work in high growth, fast-paced environments and adapt to change * Experience with Docker and Kubernetes for containerization and orchestration * Experience with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure design * Experience with deployment tooling such as Terraform, GitHub Actions, Jenkins * Experience with observability and monitoring tools such as Datadog or similar APM solutions * Strong understanding of API design principles, security best practices, and performance optimization * Experience with production support, leading incident response, and troubleshooting complex distributed systems * Experience collaborating with and influencing cross-functional team members from Product, Design, and QA Bonus Points * Experience with building personal voice digital assistants or chatbots * Experience with building search platforms, personalizing search and discovery  * Worked with automatic speech recognition (ASR)    ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.