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 IKEA and Booking.com already deploying Parloa at scale.

About the role:

Parloa is building the AI platform that enterprises trust with their most important conversations. That trust starts with security — and we need someone to own it entirely.

As Director of Security, you won't just manage a team. You'll shape how a fast-scaling AI company thinks about security from the ground up: building the strategy, the culture, and the systems that protect our platform, our customers, and the data they entrust to us. You'll lead our SecOps team within Tech Platform, partner across IS&T and Internal IT, and be the person our customers look to when they need confidence that Parloa takes security as seriously as they do.

This is a builder role. If you want to define what security looks like at an AI-native company — not inherit someone else's playbook — this is it.

Areas of ownership:

• Define and execute the product and platform security strategy — building the programs, tooling, and practices that scale with a fast-growing AI platform.
• Lead and grow the security team — hiring exceptional talent, developing senior leaders, and fostering a culture where security is every engineer's responsibility.
• Own application security across the SDLC — embedding secure coding practices, SAST/DAST/SCA tooling, threat modeling, and architectural security reviews into engineering workflows, enabling velocity without compromising safety.
• Design and implement security architectures for cloud-native applications, Kubernetes workloads, and CI/CD pipelines.
• Build and run the detection and response program — developing threat detection capabilities, tuning alerting and telemetry, and leading incident investigations, containment, and postmortems with technical rigor.
• Drive cloud security posture across our AWS/GCP infrastructure, covering identity and access, network segmentation, secrets management, and infrastructure-as-code security.
• Be Parloa's product security voice in customer engagements — fielding security questionnaires, supporting enterprise due diligence, and translating technical posture into customer confidence.
• Advance AI-specific security practices — securing LLM pipelines, model interactions, prompt injection surfaces, and data handling across the platform.
• Collaborate with IS&T on shared boundaries — coordinating on incident escalation, identity systems, and compliance requirements where product and corporate security intersect, without duplicating ownership.
• Establish security metrics that matter — proving that product security posture is measurably improving, not just maintained.

Who you are:

• 12+ years in security, with at least 5 years leading security teams, ideally in product or application security at a SaaS or platform company.
• Deep hands-on experience securing cloud-native, containerized environments (AWS/GCP, Kubernetes) — you can still roll up your sleeves when it matters.
• Strong application security background — you understand secure architecture, common vulnerability classes, and how to shift security left without slowing engineering down.
• Proven detection & response expertise — you've built or significantly improved SOC/detection capabilities and led incident response in production environments.
• Effective communicator across audiences — you can translate product security risk into business terms for executives and customers, and dive into technical detail with engineers.
• Familiarity with compliance frameworks (SOC 2, ISO 27001) as they relate to product security controls — you've contributed to audits and customer security reviews, even if GRC ownership sits elsewhere.
• Genuine curiosity about AI security — experience securing LLM-based systems is a strong plus, but a sharp instinct for emerging risk is what counts.

Our recruiting process:

Recruiter video call → Technical Peer Interview → Expert 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.

Location: Berlin (Hybrid) Travel: ~25%

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 on a mission to transform how people interact with companies by making every conversation seamless, personalized, and human-like. Our AI Agent Management Platform empowers enterprises to create and manage AI voice and chat agents at scale, turning interactions into lasting relationships.

As our Deployment Strategist, you will drive AI transformation at Global 2000 enterprises as the “Field CPO” for Parloa’s most strategic customers. You will own the bridge between customer outcomes and product reality, translating business needs into deployable product capabilities for customers like Booking.com, Allianz, Decathlon, and TUI.

This is an opportunity to build a new industry. Agentic AI for enterprise is nascent. You’ll define what “good” looks like - at the forefront, with the hardest customers, solving the toughest problems.

Areas of ownership:

• Land big clients (Global 2000 with complex, off-roadmap needs) and ensure their AI transformation succeeds.
• Manage stakeholders across business and tech (CEO, COO, CIO, CTO, VP Support), owning deployment from value thesis through production to expansion.
• Translate customer needs into product capabilities (not one-off customizations) that become reusable platform features.
• Build prototypes, make product changes, and create business plans hands-on - execution over PowerPoints.
• Represent customers to Parloa Product and represent Parloa Product to customers, bridging both worlds.
• Navigate ambiguity in agentic AI workflows, ROI models, and change management where no playbook exists yet.
• Own hard conversations: tradeoffs, “no,” re-scoping, and timeline realism with strategic accounts.
• Influence without authority across Product, Engineering, Sales, and Customer Success to drive outcomes.
• Feed validated learnings to product roadmap, turning customer work into platform capabilities that compound.

Who you are:

• 7-12 years of experience in enterprise software (solution architecture, product, or consulting) with a proven track record of customer-facing delivery.
• “Field CPO” mentality: ability to translate customer outcomes into product reality and vice versa.
• Business + tech stakeholder leadership: presented to C-suite across business and tech functions, demonstrated value, and ensured solutions make business sense.
• Product thinking: built client-specific roadmaps aligned with platform strategy.
• Architectural credibility: scoped off-platform features, assessed feasibility, and ensured supportability.
• Influence without authority: led cross-functional teams (Product, Eng, Sales, CS) without direct reports.
• Adaptability: comfortable being uncomfortable, willing to learn, operates in ambiguity.
• Hands-on execution: gets hands dirty - built prototypes, made product changes directly, created business plans. Not just an advisor.

Nice-to-have:

• Industry diversity: experience in travel, fintech, insurance, retail, healthcare, telecom, or enterprise software - we’re building a team with a broad industry perspective.
• Industry-changing companies: worked at companies that transformed their industry (Booking.com, Decathlon, N26, Deel, Stripe, Uber, Airbnb).
• Hypergrowth experience: thrived in fast-scaling environments (e.g., 25 to 1500 people).
• Background as Palantir Deployment Strategist, AWS/GCP Solutions Architect, or product roles at hypergrowth tech.
• Tech stack: architectural understanding of Python, TypeScript, Terraform, K8s, Azure/AWS.
• AI/ML: LLM pipelines, agentic AI deployment, prompt engineering.
• Learning loop: created reusable patterns from custom work, fed learnings to product.

Our recruiting process:

TA Screen (45 min) → Hiring Manager Call (45 min) → Product + Commercial Stakeholder Call (60 min.) →Technical Stakeholder Call (60 min.) → Case Study (take-home) → Bar Raiser Interview (60 min.)

Ready to build a new industry? Submit your resume and a brief cover note: “What’s a customer outcome you owned? What did you personally build/execute (not just advise)?”

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 Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. 
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
• Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. 
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. 
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale

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 IKEA and Booking.com already deploying Parloa at scale. 

About the role:

As a Principal Applied Scientist at Parloa, you will define and drive our applied AI strategy across AI agents and Generative AI.

This is a highly hands-on and high-impact role at the intersection of research and production. You will explore, validate, and scale approaches that directly shape our product, from model evaluation and routing to agent behavior, memory, and context engineering, while defining how these systems should be measured, benchmarked, and improved across the industry.

Beyond execution, you will act as a technical leader: identifying opportunities, setting direction, and building the foundations of applied science at Parloa.

Areas of ownership:

• Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization
• Own ambiguous problem spaces end-to-end: from framing and experimentation to production impact
• Design and implement evaluation & benchmarking frameworks, leveraging and challenging industry standards — and where needed, defining new ones
• Drive innovation in agentic systems, including topics like routing, memory, and context engineering
• Prototype and validate new approaches (e.g., model combinations, fine-tuning strategies, or open-weight models)
• Translate research into production-ready solutions, working closely with engineering teams
• Act as a technical authority and multiplier, mentoring others and shaping best practices
• Establish and lead the Applied Science guild, fostering knowledge sharing and raising the bar across teams
• Influence product and technical strategy, identifying where applied science can unlock the most value

Who you are:

• 12+ years of experience in Applied Machine Learning, Applied Science, or a related field, with a proven track record of delivering ML/AI systems in production
• Experience with agent-based systems or multi-step LLM workflows
• Strong recent experience working with LLMs and Generative AI systems, ideally in production environments
• Demonstrated ability to own and drive ambiguous problem spaces end-to-end—from problem framing to measurable impact
• Deep understanding of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop approaches
• Hands-on technical skills, with the ability to prototype, experiment, and ship solutions in collaboration with engineering teams
• Experience working on production systems, balancing speed, quality, and scalability
• Proven technical leadership and influence, with experience shaping direction, mentoring others, or driving cross-team initiatives
• Ability to operate at both strategic and execution levels, connecting long-term vision with day-to-day decisions
• Strong communication skills, with the ability to clearly articulate ideas and influence technical and non-technical stakeholders
• Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is a plus

We know that great candidates don’t always meet every single requirement. If you’re excited about this role and believe you could make an impact, we encourage you to apply, even if your experience doesn’t perfectly match every qualification.

Nice to have

• Familiarity with model routing, fine-tuning, or open-weight models
• Background in human-in-the-loop evaluation or annotation systems
• Contributions to public research, blogs, or open-source projects

Our recruiting process:

Talent Acquisition → Technical Peer Interview → 360° Technical Interview Loop → 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 Senior Data Engineer – Internal Platform, you will build and own the data infrastructure that powers Parloa's internal AI transformation. Today, business-critical data lives across dozens of disconnected tools with no unified way to access it — you'll change that by creating a single, self-serve access layer that gives AI agents and teams the business context they need to operate. Working closely with the AI Transformation Team and stakeholders across the non-engineering organization, you'll also define the KPIs and dashboards leadership uses to track AI adoption and impact.

Areas of ownership:

• Data Platform Infrastructure: Own the Internal-facing Databricks workspace end-to-end: configuration, compute, access controls, and cost management.
• Ingestion Pipelines: Build and maintain Airbyte pipelines that pull data from Salesforce, Gong, HRIS, finance systems, and other tools on automated schedules.
• Data Modeling & Transformation: Implement the architecture that turns raw data into clean, trusted, analysis-ready datasets.
• AI Data Enablement: Partner with the AI Transformation Team to ensure AI agents and LLM workflows get the right data in the right format.
• AI Adoption Measurement: Define and build the KPIs and dashboards that track AI usage, proficiency, and business impact across the company.
• Data Governance & Compliance: Own data classification, access policies, GDPR/DPA compliance, and pipeline monitoring.

Who you are:

• Experience designing data layers that power AI/LLM-based applications and agentic workflows.
• Proficiency in Python, SQL, ETL/ELT tools, and MLOps.
• Knowledge of dimensional modeling and modern data warehouse technologies.
• Ability to comprehend and execute on complex requirements and resolve performance issues.
• Ability to articulate complex technical concepts to non-engineering audiences, making data architecture decisions and trade-offs understandable for leadership and cross-functional stakeholders.
• Passion for staying updated and driving innovation in data engineering.
• Ability to define and instrument Al adoption KPls: usage tracking, proficiency distribution, and business impact metrics.
• Understanding of how Al tools consume data – context windows, retrieval patterns, embedding pipelines – and how to optimise data access for.

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 Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa's solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa's platform to customers' existing technology stacks, and guide customers and partners in maximising the value of Parloa's AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners. 
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. 
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. 
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. 
• Build and configure integrations between customers' systems and Parloa's Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities. 
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer. 
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions. 
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale

Our Recruiting Process:

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

We are smava – the online credit comparison platform. We make loans transparent, fair and affordable! With more than 300.000 satisfied customers, we are one of the biggest FinTech companies in Germany. Become now part of our vision to shape the digital future of the consumer loan market!

Our Development teams are distributed along the customer journey, each being completely in charge of their corresponding part of the platform and respective services and systems. They operate in an autonomous and self-managed way: we live up to our belief in effective network structures where teams are enabled to make their own decisions within our exciting roadmap. This empowers everyone to a great extent - by sharing responsibility and decision-making amongst all colleagues.

YOUR NEW TEAM

We are looking for a Senior Fullstack Engineer to join our Customer Communication team. Our mission is to connect people to enable the best loan application process possible. That is why we create an innovative omni-channel communication landscape by building services that ensure a meaningful and right-in-time communication with our customers in a fully automated way along the whole customer journey. This includes email, sms, rcs, WhatsApp and most important: our fully automated dialer for in- and out-bound calls as core service for our loan advisors. In addition to that we constantly optimize main parameters of the customer experience by data-driven experiments around customer value, timings etc. using a sophisticated self-built optimization framework.

WHAT YOU WILL BE DOING

• Work in a data-intensive distributed environment with different NodeJS and Typescript services that run on AWS Lambda and Kubernetes
• Ensure stable and reliable customer communication services, with well-managed and tracked traffic
• Conceptualize and build new features, improve existing systems and optimize business-critical performance and efficiency parameters
• Proactively contribute ideas on increasing efficiency by integrating artificial intelligence into our systems and processes
• Take active part in the decision-making processes of your team (goals, concepts, timelines, stack)
• Collaborate closely with our Product Owner to plan and continuously develop new features within the team’s domain
• Take end-to-end ownership of development and operations, following our “you build it, you run it, you own it” philosophy which also includes DevOps tasks

YOUR PROFILE

• Strong experience with Node.js using TypeScript
• Professional experience with AI and LLM systems, ideally in customer communication
• Skilled in scaling services to handle traffic spikes, caching and optimizing MySQL queries
• Extensive experience with AWS and containerized microservice infrastructures, ideally running on AWS with Kubernetes and Terraform
• Familiar with the “LGTM” Grafana stack (Loki, Grafana, Tempo and Mimir/Prometheus)
• Experience working across teams and in cross-functional projects
• Experience in customer communications and service provider advisory tools like Twilio, CrossEngage/Spotler Activate Pro or Segment is a big plus
• Passionate about your work and a great communicator, always eager to share knowledge
• Proactive and ownership-driven while working in a highly collaborative environment
• Experienced in agile environments, ideally in startup-like companies or flat hierarchies

Don’t meet every single requirement? We are not simply looking for years of experience – we are looking for the right person and are open to both mid-level and senior profiles. If you are excited about this role and meet the essential criteria but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.

WHAT WE OFFER

• Our team comes from over 50 nations and you can expect an open and dynamic working environment with plenty of room for your further development
• We actively work to create a diverse and inclusive work environment by sharing our different skills, ideas and experiences as a team and representing diversity within the company
• For your personal development, we offer internal career programs, further training opportunities and language courses (German)
• A modern equipped office with roof terrace, lounge and much more
• We value our successes and celebrate them through regular events, such as the Company Lunch, the Table Tennis Tournament or our Summer Party
• Get your lunch delivered right to the office and save at the same time through the subsidy from smava
• Your rest is important to us so we offer 30 days of vacation, parents benefit from 10-child sick days in addition to the statutory entitlement
• To support your physical and mental health, we offer collaborations with sports providers and weekly sports activities in our office
• We support social projects and subsidize your ticket for public transport so that you can get to your destination in an environmentally conscious way
• Enjoy exclusive offers from a large number of brands and secure the best prices when buying through our Corporate Benefits partnership
• With smava you are secured in your old age and benefit from a subsidized company pension plan

INTERESTED?

Apply online with just a few click via the application button as Senior Fullstack Engineer (f/m/d) - Node.js & Typescript. Simply upload your CV (preferably as PDF file) and we’ll get back to you as soon as possible.

All applications are accepted exclusively via the application form.

Contact: Luisa Tomasella (030 - 617 48 00149)

At smava we celebrate diversity and stand for an environment that represents a variety of backgrounds, perspectives and skills. We're committed to equal employment and development opportunities regardless of gender identity or expression, race, religion, age, sexual orientation, colour, disability, culture or place of origin.

Do you want to learn more about us?

Visit our career page:https://jobs.smava.de/

We are smava – the online credit comparison platform. We make loans transparent, fair and affordable! With more than 300.000 satisfied customers, we are one of the biggest FinTech companies in Germany. Become now part of our vision to shape the digital future of the consumer loan market!

Our Development teams are distributed along the customer journey, each being completely in charge of their corresponding part of the platform and respective services and systems. They operate in an autonomous and self-managed way: we live up to our belief in effective network structures where teams are enabled to make their own decisions within our exciting roadmap. This empowers everyone to a great extent - by sharing responsibility and decision-making amongst all colleagues.

YOUR NEW TEAM

We are looking for a Senior Fullstack Engineer to join our Customer Communication team. Our mission is to connect people to enable the best loan application process possible. That is why we create an innovative omni-channel communication landscape by building services that ensure a meaningful and right-in-time communication with our customers in a fully automated way along the whole customer journey. This includes email, sms, rcs, WhatsApp and most important: our fully automated dialer for in- and out-bound calls as core service for our loan advisors. In addition to that we constantly optimize main parameters of the customer experience by data-driven experiments around customer value, timings etc. using a sophisticated self-built optimization framework.

WHAT YOU WILL BE DOING

• Work in a data-intensive distributed environment with different NodeJS and Typescript services that run on AWS Lambda and Kubernetes
• Ensure stable and reliable customer communication services, with well-managed and tracked traffic
• Conceptualize and build new features, improve existing systems and optimize business-critical performance and efficiency parameters
• Proactively contribute ideas on increasing efficiency by integrating artificial intelligence into our systems and processes
• Take active part in the decision-making processes of your team (goals, concepts, timelines, stack)
• Collaborate closely with our Product Owner to plan and continuously develop new features within the team’s domain
• Take end-to-end ownership of development and operations, following our “you build it, you run it, you own it” philosophy which also includes DevOps tasks

YOUR PROFILE

• Strong experience with Node.js using TypeScript
• Professional experience with AI and LLM systems, ideally in customer communication
• Skilled in scaling services to handle traffic spikes, caching and optimizing MySQL queries
• Extensive experience with AWS and containerized microservice infrastructures, ideally running on AWS with Kubernetes and Terraform
• Familiar with the “LGTM” Grafana stack (Loki, Grafana, Tempo and Mimir/Prometheus)
• Experience working across teams and in cross-functional projects
• Experience in customer communications and service provider advisory tools like Twilio, CrossEngage/Spotler Activate Pro or Segment is a big plus
• Passionate about your work and a great communicator, always eager to share knowledge
• Proactive and ownership-driven while working in a highly collaborative environment
• Experienced in agile environments, ideally in startup-like companies or flat hierarchies

Don’t meet every single requirement? We are not simply looking for years of experience – we are looking for the right person and are open to both mid-level and senior profiles. If you are excited about this role and meet the essential criteria but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway.

WHAT WE OFFER

• Our team comes from over 50 nations and you can expect an open and dynamic working environment with plenty of room for your further development
• We actively work to create a diverse and inclusive work environment by sharing our different skills, ideas and experiences as a team and representing diversity within the company
• For your personal development, we offer internal career programs, further training opportunities and language courses (German)
• A modern equipped office with roof terrace, lounge and much more
• We value our successes and celebrate them through regular events, such as the Company Lunch, the Table Tennis Tournament or our Summer Party
• Get your lunch delivered right to the office and save at the same time through the subsidy from smava
• Your rest is important to us so we offer 30 days of vacation, parents benefit from 10-child sick days in addition to the statutory entitlement
• To support your physical and mental health, we offer collaborations with sports providers and weekly sports activities in our office
• We support social projects and subsidize your ticket for public transport so that you can get to your destination in an environmentally conscious way
• Enjoy exclusive offers from a large number of brands and secure the best prices when buying through our Corporate Benefits partnership
• With smava you are secured in your old age and benefit from a subsidized company pension plan

INTERESTED?

Apply online with just a few click via the application button as Senior Fullstack Engineer (f/m/d) - Node.js & Typescript. Simply upload your CV (preferably as PDF file) and we’ll get back to you as soon as possible.

All applications are accepted exclusively via the application form.

Contact: Luisa Tomasella (030 - 617 48 00149)

At smava we celebrate diversity and stand for an environment that represents a variety of backgrounds, perspectives and skills. We're committed to equal employment and development opportunities regardless of gender identity or expression, race, religion, age, sexual orientation, colour, disability, culture or place of origin.

Do you want to learn more about us?

Visit our career page:https://jobs.smava.de/

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

What's the opportunity?

Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.

This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.

The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.

What will you do?

• Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
• Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
• Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
• Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
• Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
• Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
• Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.

What are we looking for?

The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.

Beyond that:

• Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
• AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
• Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
• Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
• Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
• Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
• At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
• Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.

Why Intercom, why now?

Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.

A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..

AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.

The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too 
• MacBooks are our standard, but we also offer Windows for certain roles when needed.

#LI-Hybrid

Team

The AI Enablement team supports the adoption of AI capabilities across Raisin’s products and internal systems.

The team focuses on establishing a consistent and reliable approach to using AI in production by providing shared foundations, guidance, and reusable solutions. This includes working with engineering teams to integrate AI into existing systems, ensuring solutions are scalable, maintainable, and aligned with security and regulatory requirements.

The scope ranges from improving internal workflows to enabling new product capabilities, depending on where AI can deliver measurable value.

Your Responsibilities

As an AI Engineer, you will help shape how AI is applied across the organization by combining hands-on engineering with enablement and guidance.

Enable teams to adopt AI effectively

• Work with product and engineering teams to identify and refine AI use cases
  
  
• Support teams in integrating AI capabilities into their systems and workflows by providing clear guidance on patterns, trade-offs, and practical implementation approaches
  
  
• Promote consistent and reusable solutions to reduce fragmentation across teams

Contribute to shared capabilities where needed

• Develop or extend shared components, integrations, or services when required to unblock teams
  
  
• Define and implement patterns for integrating LLM capabilities into the platform
  
  
• Contribute to shared components or lightweight services that simplify access to AI capabilities across teams
  
  
• Manage AI costs and budget usage when providing shared model access and services to other teams.
  
  
• Support teams in developing retrieval-based approaches that make internal knowledge accessible to AI-driven use cases

Guide technical decisions

• Evaluate tools, platforms, and approaches with consideration for scalability, security, and maintainability
  
  
• Help teams choose appropriate solutions based on context rather than applying AI by default
  
  
• Contribute to establishing a pragmatic and consistent approach to AI usage

Ensure robustness and responsible usage

• Optimize AI system efficiency by making principled model selections based on cost-performance trade-offs, inference latency, and token usage optimization
  
  
• Support the implementation of safeguards such as access controls, validation, and monitoring
  
  
• Collaborate with Security, Legal, and other stakeholders on requirements related to AI usage
  
  
• Contribute to practices that ensure solutions are reliable and aligned with internal standards

Your Profile

Background

• Strong experience as a Software Engineer (5+ years), with focus on backend or platform development
  
  
• Strong generalist mindset, comfortable working across technical domains
  
  
• Experience working on production systems and collaborating across teams
  
  
• Comfortable operating in environments with evolving scope and priorities

Technical Skills

• Proficiency in at least one programming language (Python preferred; JVM languages also relevant)
  
  
• Experience with cloud environments (AWS preferred)
  
  
• Solid understanding of APIs, system integration, and distributed systems

AI Experience

• Practical experience working with AI tools or platforms (e.g. LLM APIs or similar technologies)
  
  
• Familiarity with concepts such as prompt design, context engineering, retrieval-based approaches, or AI-driven workflows
  
  
• Ability to assess where AI adds value and where it does not

Join our mission, join our team – and grow with us!

At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.

As part of our team, you will benefit from:

• Employee Development Budget of €2,000 and four full training days per year.
• Flexible working hours, home office and 30 vacation days.
• A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
• Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
• Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
• Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
• Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
• You are moving from another country or city to join us? We may support your relocation.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

At the AI Platform team, our mission is to empower Mission Teams across GetYourGuide to build and operate production-grade LLM features independently, democratizing AI development while maintaining the product quality our users deserve and expect.

As the Senior Manager of our AI Platform team, you will lead the vision, strategy, and execution to enable and scale AI-powered features across all product areas. You will be responsible for building and evolving the centralized AI infrastructure that makes LLM development systematic, trustworthy, and accessible at scale. Your team will establish the evaluation systems, abstraction layers, and safety guardrails that allow Mission Teams to ship AI features with confidence and speed, ensuring GetYourGuide delivers reliable, high-quality AI experiences to travelers worldwide.

Your mission

• Lead all hiring and performance management processes for your Engineering team, helping your engineers reach their full potential in this emerging and rapidly evolving domain.
• Drive high-impact projects and outcomes by managing the team's roadmap and portfolio allocation.
• Find and deliver solutions to complex technical challenges that span across multiple services and business domains, ensuring Mission Teams can build production-grade LLM features with confidence.
• Establish and evangelize best practices for LLM development across Tech.
• Balance rapid innovation with production standards to ensure the platform enables speed without compromising quality, security, or reliability.
• Build strategic partnerships with key stakeholders across product, engineering leadership, and vendor relationships to align platform capabilities with business needs.

Your toolkit

• You have experience building platform infrastructure or developer tooling that enables other engineering teams to ship faster and more reliably.
• You are working with LLMs in production environments, including prompt engineering, evaluation systems, or AI safety mechanisms.
• You have a strong sense of ownership, ensuring technical and product plans are aligned with your stakeholders, your team, and organizational and company goals.
• You approach complex topics with an open mind and a focus on simplicity, particularly when navigating the rapidly evolving AI landscape.
• You bring a strong engineering background in platform engineering, infrastructure, or developer tooling, enabling you to evaluate complex technical decisions related to abstractions, evaluation systems, and safety mechanisms.
• You actively lead and contribute to technical, design, and product discussions within your team's domain, balancing innovation velocity with production reliability standards.
• You are passionate about building and developing a high-performing engineering team—mentoring, coaching, and empowering engineers to tackle novel challenges in the AI space.
• You excel at evangelism and education, building confidence and capability across technical teams through documentation, workshops, and hands-on collaboration.

Extras that give you an edge

• Experience working in a startup or high-growth environment, taking projects from zero to one and scaling them across an organization.
• Experience operating as a technical product manager/owner, particularly for internal platform products serving engineering customers.
• Track record of successful technical evangelism and education initiatives that drove adoption and capability-building across engineering organizations.

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

Who we are

The role

At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities.

We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones. Your primary focus will be training and fine-tuning Vision-Language Models on our custom datasets to power our different products. You'll be responsible for the entire model lifecycle, from data curation and training to evaluation.

You should apply if you

• Hold an MSc or PhD in Machine Learning, Computer Science, or Mathematics with a focus on Deep Learning.

• Possess theoretical understanding and practical experience in training Foundational Models (LLMs, VLMs, or other large-scale multimodal models) from scratch or through fine-tuning.

• Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX). You don’t just import libraries; you are comfortable writing custom layers, loss functions, and distributed training loops.

• Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal research culture.

• Have a "first-principles" mindset: you enjoy reading the latest ArXiv papers and implementing them into the codebase rapidly.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Top-Tier Research Track Record: You have authored publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning.

• Experience training models on large-scale GPU clusters.

• Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. 

About the Team

About the Role

What you’ll do

• Lead and mentor a globally distributed team of security engineers focused on application security, offensive testing, secure architecture, and vulnerability remediation.
• Lead and coordinate the team's initiatives and help provide project management leadership to the team members.
• Coordinate cross function and cross stream initiatives and projects.
• Drive integration of security into Miro’s Discover, Define, Deliver lifecycle through the lens of the AMPED Ways of Working and Operating Model.
• Collaborate with Product, Engineering, and Design to ensure security is considered at the earliest stages of ideation—via threat modeling, risk reviews, and abuse-case analysis.Shape and evolve Miro’s Secure SDLC practices, integrating security seamlessly into CI/CD pipelines, infrastructure-as-code, and developer tooling.
• Oversee execution of bug bounty and third-party testing programs, ensuring vulnerabilities are triaged, communicated, and remediated effectively.
• Build and scale Miro’s Security Champions program to embed security ownership within each engineering team.
• Guide secure adoption of AI-augmented software development tools, including LLMs used for code generation, reviews, or architectural assistance.
• Help envision and safely operationalize Agentic AI-driven developer and security workflows, including policy-driven autonomous agents supporting security automation and decision-making.
• Provide structured guidance, patterns, and reference architectures that support developers in implementing secure, scalable, and privacy-respecting features.
• Define and report on KPIs and success metrics for secure development adoption, vulnerability resolution, and developer engagement.
• Collaborate with Privacy, Legal, and Compliance teams to ensure alignment with regulatory requirements (ISO 27001, SOC 2, GDPR, and emerging AI regulations).
• Foster a strong team culture based on collaboration, learning, and continuous improvement.

What you’ll need

• 10+ years of experience in software, application, or product security, including significant experience in secure software development.
• 3+ years of technical leadership or management experience in a security-focused role.
• Extensive experience with threat modeling methodologies (e.g., STRIDE, PASTA) and risk assessment, particularly within a SaaS or product-centric organization.
• Deep expertise in Secure Software Development Lifecycles (SSDLC), including integrating security into agile and custom development frameworks.
• Demonstrated experience running Security Champions programs and scaling developer engagement.
• Experience leading offensive security programs (penetration testing, red teaming, bug bounty).
• Practical understanding of governance and assurance frameworks such as ISO 27001, SOC 2, and OWASP SAMM.
• Familiarity with AI/LLM tooling (e.g., Cursor, GitHub Copilot, custom LLM integrations) and the associated security and governance considerations.
• Experience working with AWS and securing API-driven, microservice-based architectures.
• Ability to manage distributed teams and communicate effectively across technical and business stakeholders.

Who You Are (Skills & Attributes)

• Developer-Aligned: You understand the pace and pressure of modern software development and are committed to reducing friction while improving security posture.
• An Exceptional Communicator: You can articulate complex technical risks to non-technical stakeholders and translate business goals into security strategy for your team.
• A Natural Collaborator: You excel at building strong relationships and influencing cross-functional teams without direct authority.
• A Pragmatic Problem-Solver: You are skilled at identifying scalable, risk-based solutions and are comfortable navigating ambiguity in a fast-paced environment.
• Data-Driven: You use metrics and KPIs to measure the effectiveness of your programs and drive continuous improvement.
• A Passionate Mentor: You are dedicated to developing talent and empowering engineers and product managers to be security champions.

Why Join Miro’s Security Team?

As a member of Miro’s security leadership, you’ll help define how innovation and trust scale together. You’ll work across the AMPED operating model, empower developers through secure tooling, and support cutting-edge AI-driven and agentic workflows that redefine how software and teams are built. If you thrive on technical depth, cross-functional collaboration, and advancing the next era of secure software development, this role is for you.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard.
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Not located in Berlin? No worries, we offer extensive relocation support including allowances, one way flights, temporary accommodation and, by partnering with Expath, on the ground support on arrival
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Employee Equity Plan
• Generous professional development allowance
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• We offer free German courses at beginning, intermediate and advanced
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

Why Scout24? 
Scout24 is home of ImmoScout24, Germany’s #1 for real estate. With ImmoScout24 we have been revolutionizing the real estate market in Germany and Austria for more than 25 years. Our goal is to build a digital ecosystem that brings homeowners, seekers, and agents together. Finding the right home and property is one of the most important decisions in life. So is your career! #WorkingatScout24 means being part of a diverse and inclusive team of around 1100 colleagues and 58 nationalities. We embrace difference and celebrate individuality. By encouraging open mindedness and authenticity we enable a true learning culture and prepare the ground for personal development.  Mistakes are a chance to grow and to innovate. Together we act proactively, strive for improvement, and take responsibility. We talk about success and challenge while treating each other with respect because we are #oneteam. 

If this sounds interesting to you, we would love to see you joining us!  Even if you may not tick all the boxes of the job requirements, we are happy to hear about the value you can add to the team.  Grow with us!. Welcome home!  

Aside from our people and company culture we are offering awesome benefits that make Scout24 a great place to work!  

• Compensation: A competitive salary package and a bonus on top.  
• Flexibility: We offer a hybrid work model with three days of on-site work per week in the office, and you can organize the remaining days as you wish. We offer you 30 days of vacation per year.
• Work from abroad: We offer you the possibility to work from abroad for 10 days per year, subject to the business requirements of the company and team.
• Relocation: Our relocation agency supports you with your visa process and an attractive relocation package.  
• Use our products: As an employee you can take advantage of our plus membership for tenants on ImmoScout24 to find a new place to live.  
• Development: Dedicated learning time per month, online courses on our ScoutAcademy, regular book challenges, structured feedback, “Lunch & Learn”-Events and individual career paths to push your career to the next level.    
• Have kids? We'll support you with a professional family service, which helps you to find a childcare center or offers emergency childcare.    
• Furry feel good manager: Bring your dog to work (upon approval, as we prioritise the well-being of our employees and ensure that our dog policy is considerate of allergic individuals and prevents overcrowding on each office floor). 
• Mobility: We subsidize public transport or Job Bikes. 
• Commitment to sustainability and Diversity, Equity & Inclusion (DEI): We have clear environmental and climate protection goals and are involved in social activities and charitable organizations throughout the year. We live the diversity. Our theme weeks on diversity, mental well-being, and other social issues give us time and space to develop ourselves on DEI and sustainability.
• Pension scheme: We offer a company pension scheme and support your own contribution with an attractive subsidy.
• Most innovative office: Our office is barrier-free and in the heart of Berlin right at the central station. It was awarded for the most innovative office concept. We have an own gym with regular courses, napping room, rooftop terrace, organic coffee, cafeteria, 100% green electricity and a massage therapist that comes in once a week.
• Health: Life Situation Coaching, regular health check ups
• We are a tech company: We work with the latest technical tools and hardware.  

Build and operate scalable ML and LLM-based systems in production, with a focus on self-hosted models, evaluation frameworks, and platform reliability. You will help shape Scout24’s AI platform by enabling teams to efficiently develop, deploy, and scale both traditional ML and generative AI solutions for multi-modal use cases.

Working at the intersection of software engineering, ML platform engineering, and product, you ensure ML/LLM applications are robust, observable, and cost-efficient. You establish best practices for LLMOps, including gateway services, MCP integrations, evaluation, and lifecycle management, while leveraging AI-native workflows to drive faster development and higher engineering productivity.

How your role will look like:

• Design and maintain scalable ML/LLM infrastructure and pipelines  
• Productionize traditional ML and generative AI solutions with cross-functional product teams  
• Own the ML/LLMOps lifecycle: prompting, deployment, monitoring, evaluation and optimization  
• Build and evolve an LLM Gateway service to standardize access, routing, and governance  
• Develop evaluation frameworks to measure quality, performance, and reliability of LLM outputs  
• Design and implement MCP-compatible services to enable standardized context exchange between LLMs, tools, and data sources  
• Integrate MCP into internal platforms to support tool use, retrieval, and agent-based workflows across teams 
• Work with AWS and integrate self-hosted open-source AI models for scalable, secure applications  
• Ensure observability, cost efficiency, and system performance 
• Contribute to project management, stakeholder communication and cross-team collaboration 

What you need to succeed:

• Strong experience in MLOps (CI/CD, Docker, Kubernetes) and operating production-grade systems
• Proficiency in Python and solid software engineering and scalable system design skills
• Hands-on experience with LLMs and generative AI technologies (e.g. GPT, Gemini or Anthropic-like models) 
• Expertise in prompt engineering, agent orchestration, context management, and output validation
• Experience with LLM evaluation frameworks and deploying self-hosted LLMs
• Familiarity with cloud platforms (e.g. AWS, GCP) as well as DevOps, testing, and observability practices
• Strong communication skills and ability to collaborate with cross-functional teams and stakeholders

We aim to further enhance the diversity of our company and support the professional development of people with disabilities. We have a disability representative who will assist you throughout the application process. If you require this support, please let us know in advance.

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

The Supply Data Products team is on a mission to empower activity providers to deliver unforgettable and seamless experiences to GetYourGuide's customers at scale. We build AI and ML systems that curate a trusted, high-quality catalog, enhance content with LLM-powered generation, structuring, and evaluation, and proactively scout high-value inventory to grow the marketplace in partnership with tech and business teams. 

Our work sits at the forefront of innovation, shaping every strategic aspect of the supply side of our marketplace; from streamlining supplier onboarding to enriching catalog content and improving pricing and demand forecasting. We help activity providers succeed on GetYourGuide by making the marketplace smarter, more trusted, and easier to operate at scale.

Your mission

• Shape the technical vision for AI/ML across GetYourGuide's supply domain and own a roadmap for the systems we build, from problem framing to system design, evaluation, and production standards
• Lead a team of Data Scientists and MLOps Engineers building the intelligent systems that power the supply side of GetYourGuide's marketplace
• Partner closely with Product, Engineering, and Business stakeholders to identify high-leverage opportunities and turn them into production-grade AI/ML solutions
• Act as a true thought partner to both Product and Business, turning ambiguous asks into bold domain-level bets that ensure GetYourGuide's success
• Create an environment where talented people are engaged, supported, and growing, with high standards, healthy team dynamics, and strong ownership
• Bring high-impact AI systems to life in production at pace, balancing speed with sound judgement while keeping the bar high on quality, reliability, and customer trust
• Combine deep technical expertise, particularly in LLMs and production AI/ML systems, with strong people leadership to shape the strategy, execution, and impact of data science across the supply domain

Your toolkit

• Proven experience managing high-performing Data Science teams, helping people grow while delivering measurable impact
• A strong record of hands-on experience in data science, machine learning, or related fields, including production ML systems in medium-to-large, fast-paced organisations
• Experience leading the design and delivery of customer-facing AI/LLM systems in production, ideally with experience in evaluations, guardrails, prompt engineering, and agentic workflows
• Obsessed with understanding customer problems and able to be a true sparring partner to your Product Manager, co-owning problem framing and solution design
• Proven experience driving initiatives across multiple teams in large organisations and navigating complex stakeholder landscapes
• Excellent written and verbal communication in English, with the ability to translate complex technical work for technical and non-technical audiences

Extras that give you an edge

• Experience on the supply (B2B) side of a marketplace, whether that's pricing, demand forecasting, catalog quality, or inventory optimisation

How we’ll make your career journey extraordinary

We want this to be a place you genuinely want to stay and grow. Here's what that looks like in practice:

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.

About the role

As Senior Solution Marketing Manager, you will own and drive solution positioning and storytelling across our enterprise AI platform. You will translate technical capabilities into clear, differentiated, outcome-driven solutions that accelerate enterprise pipeline and revenue.

You will own 3–4 priority industries and be accountable for narrative clarity, differentiation, and pipeline contribution within them. You will define the “why us, why now,” connect our platform to measurable business outcomes, and equip Sales with compelling narratives that win competitive deals.

This role requires both strategic clarity and hands-on execution, balancing high-level solution positioning with the creation of practical, revenue-driving collateral and sales enablement assets.

What you’ll do

• Develop clear, outcome-driven solution narratives that translate platform capabilities into business value
• Define and articulate use-case positioning, including target buyers, core pain points, and measurable impact
• Establish strong differentiation against internal builds, AI point solutions, and other enterprise AI platforms
• Build solution-specific assets including pitch decks, briefs, one-pagers, messaging frameworks, and competitive battlecards
• Partner closely with Sales to refine pitch tracks, address objections, and strengthen deal positioning
• Collaborate with Product to ensure capabilities are accurately reflected in external messaging
• Create metrics-backed case studies and proof points tailored to industry buyers
• Support demand generation with industry- and solution-focused messaging for campaigns, webinars, and thought leadership
• Continuously gather market feedback to sharpen positioning and improve win rates

What we are looking for

• 7-10 years of experience in B2B solution marketing or enterprise product marketing, preferably in AI, data, or platform companies
• Proven ability to translate complex technical capabilities into clear, business-oriented narratives
• Experience building industry narratives and packaging horizontal platforms into vertical-relevant solutions 
• Strong understanding of enterprise buying dynamics and multi-stakeholder sales environments
• Comfortable operating across industries and packaging horizontal platforms into concrete use cases
• Exceptional communication skills, with the ability to create clarity from ambiguity
• Highly self-directed, structured, and execution-oriented

Why join us

This is an opportunity to define how enterprise buyers understand and adopt our AI platform. You won’t just support messaging - you will shape industry narratives, influence enterprise deal strategy, and directly impact pipeline growth.

If you thrive on ownership, care deeply about clarity and differentiation, and want to turn powerful technology into must-buy enterprise solutions, this role offers both strategic influence and tangible revenue impact.

If you’re excited to build, sharpen, and scale solution storytelling at a high-growth AI company — we’d love to meet you.

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.
Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally.

About the role

As Senior Solution Marketing Manager, you will own and drive solution positioning and storytelling across our enterprise AI platform. You will translate technical capabilities into clear, differentiated, outcome-driven solutions that accelerate enterprise pipeline and revenue.

You will own 3–4 priority industries and be accountable for narrative clarity, differentiation, and pipeline contribution within them. You will define the “why us, why now,” connect our platform to measurable business outcomes, and equip Sales with compelling narratives that win competitive deals.

This role requires both strategic clarity and hands-on execution, balancing high-level solution positioning with the creation of practical, revenue-driving collateral and sales enablement assets.

What you’ll do

• Develop clear, outcome-driven solution narratives that translate platform capabilities into business value
• Define and articulate use-case positioning, including target buyers, core pain points, and measurable impact
• Establish strong differentiation against internal builds, AI point solutions, and other enterprise AI platforms
• Build solution-specific assets including pitch decks, briefs, one-pagers, messaging frameworks, and competitive battlecards
• Partner closely with Sales to refine pitch tracks, address objections, and strengthen deal positioning
• Collaborate with Product to ensure capabilities are accurately reflected in external messaging
• Create metrics-backed case studies and proof points tailored to industry buyers
• Support demand generation with industry- and solution-focused messaging for campaigns, webinars, and thought leadership
• Continuously gather market feedback to sharpen positioning and improve win rates

What we are looking for

• 7-10 years of experience in B2B solution marketing or enterprise product marketing, preferably in AI, data, or platform companies
• Proven ability to translate complex technical capabilities into clear, business-oriented narratives
• Experience building industry narratives and packaging horizontal platforms into vertical-relevant solutions 
• Strong understanding of enterprise buying dynamics and multi-stakeholder sales environments
• Comfortable operating across industries and packaging horizontal platforms into concrete use cases
• Exceptional communication skills, with the ability to create clarity from ambiguity
• Highly self-directed, structured, and execution-oriented

Why join us

This is an opportunity to define how enterprise buyers understand and adopt our AI platform. You won’t just support messaging - you will shape industry narratives, influence enterprise deal strategy, and directly impact pipeline growth.

If you thrive on ownership, care deeply about clarity and differentiation, and want to turn powerful technology into must-buy enterprise solutions, this role offers both strategic influence and tangible revenue impact.

If you’re excited to build, sharpen, and scale solution storytelling at a high-growth AI company — we’d love to meet you.

• Serverless AI has clear product-market fit with measurable activation and retention metrics improving quarter over quarter.
• Multi-node jobs and autoscaling endpoints are shipped and adopted by customers running production workloads.
• Cold start time is reduced from 1-3 minutes to under 60 seconds for common workloads through a combination of product and infrastructure improvements you drove.
• Developer experience (CLI, docs, error messages, onboarding flow) sets the standard that developers expect from a next-generation AI cloud.
• At least 3 product decisions you made are directly attributable to customer conversations or data analysis you conducted.

• Co-own the Serverless AI product roadmap — Jobs, Endpoints, and DevPods — taking primary ownership of specific product areas while collaborating closely with the other PM on shared priorities and cross-cutting decisions.
• Write detailed, technically precise PRDs that engineering teams can execute against. Our PRDs specify CLI syntax, API contracts, state machines, and billing models — not abstract feature descriptions.
• Make build/buy/defer decisions on capabilities like autoscaling, multi-node orchestration, HTTPS termination, secret injection, and health checking based on customer signal and strategic priorities.

• Understand the full workload lifecycle: container image pull → VM provisioning → GPU attachment → workload execution → cleanup — well enough to identify bottlenecks and propose solutions.
• Evaluate technical trade-offs in areas like container cold start optimization (image caching, snapshot restore, warm pools), GPU scheduling and bin-packing, and storage mount performance.
• Work directly with engineers on architecture decisions for distributed training support, endpoint autoscaling policies, and fault tolerance mechanisms.
• Stay current on the fast-moving serverless GPU infrastructure space — new inference frameworks (vLLM, TensorRT-LLM, SGLang), container runtimes, orchestration approaches — and translate trends into product direction.

• Run customer discovery and feedback sessions with ML engineers and platform teams at AI startups and enterprises. Turn qualitative insight into specific product actions.
• Analyze usage data, activation funnels, and churn patterns to identify where users get stuck and what features drive retention.
• Track market dynamics, emerging technologies, and industry trends to inform product strategy and ensure Nebius stays ahead of where the market is heading.
• Define and iterate on pricing, packaging, and tier strategy for Serverless AI.

• Own the technical content strategy: quickstart guides, tutorials, reference architectures, and example workloads that reduce time-to-first-job.
• Partner with marketing on developer-focused campaigns, webinars, and conference presence.
• Work with Solution Architects and Sales to qualify serverless-fit opportunities and support technical evaluations.

• You have built, shipped, and iterated on infrastructure or platform products used by developers or ML engineers. Not consumer apps. Not dashboards. Infrastructure.
• You understand containers at a practical level — Docker, image registries, container runtimes, resource limits, networking. You've debugged why a container won't start, why GPU isn't visible inside it, or why a mount isn't working.
• You have working knowledge of GPU computing for AI/ML: what GPU types exist and when to use them, how training and inference workloads differ in resource requirements, what vLLM / TensorRT-LLM / Triton are and why they matter.
• You can read a CLI reference and know if it's well-designed. You've shaped developer-facing APIs, CLIs, or SDKs.
• You have run real customer discovery — not surveys, but technical conversations with engineers where you learned something that changed your product direction.
• You have 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.

• Ability to whiteboard a workload lifecycle (submit → schedule → provision → execute → cleanup) and identify failure modes at each step.
• Understanding of autoscaling trade-offs: scale-to-zero vs. warm pools, scaling metrics (queue depth, latency, utilization), cold start implications.
• Familiarity with inference serving concepts: batching, model loading, quantization, KV-cache management, multi-model serving.
• Understanding of distributed training concepts: data parallelism, model parallelism, communication overhead, checkpointing.
• Ability to reason about pricing models: per-second vs. per-request vs. per-token, and how pricing interacts with product architecture.

• Experience at a serverless or GPU cloud company.
• Hands-on ML engineering background — you've trained models, deployed inference endpoints, or built ML pipelines yourself.
• Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve) and understanding of why many ML teams want to avoid it.
• Prior experience building a product from early stage to scale in a fast-growing market.
• Background in systems engineering, distributed systems, or site reliability engineering.

• You are more comfortable in a terminal than in a slide deck.
• You form strong opinions based on data and direct customer signal, and you update them when evidence changes.
• You are energized by building at pace — small team, fast-evolving product, big opportunity.
• You care about developer experience at the level of error messages, CLI flag naming, and documentation quality.
• You'd rather ship a smaller thing that works perfectly than a bigger thing that's mediocre.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role 

Nebius Token Factory is a next-generation platform for LLM inference and deployment. It gives companies and developers access to dozens of state-of-the-art open-source models (LLMs, Vision, Embeddings, Image Generation) with enterprise-grade guarantees, including private endpoints, zero-retention data flow, transparent pricing, and easy scaling without GPU ops overhead.

Token Factory is part of Nebius, a company building next-generation cloud infrastructure for the global AI economy, helping teams solve real-world problems and scale AI without massive infrastructure costs or large in-house ML teams.

We are looking for a strong Product Designer  who will help turn complex AI infrastructure into a clear, controllable, and thoughtfully designed product for a professional audience. In this role, you’ll work on one of the most technically advanced AI products on the market, immerse yourself in modern LLM and AI infrastructure operating at production scale, and have real influence on UX and product decisions across core user scenarios.

You’re welcome to work in our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.

Your responsibilities will include: 

• Designing clear, scalable interfaces for core end-to-end AI workflows: model selection and comparison, deployment and inference, inference observability and analysis, fine-tuning, dataset management, batch inference, and agent configuration.
• Own the end-to-end design of services and features within the Nebius Token Factory, from discovery to delivery.
• Being ready to write high-quality interface copy — clear, precise text that helps users navigate complex scenarios and make informed decisions.
• Developing a deep understanding of how AI systems work under the hood, translating complex technical processes (fine-tuning, data pipelines, agent workflows) into clear and manageable user interfaces.
• Collaborating with product managers to formulate hypotheses, validate them with data and user feedback, and improve key product scenarios.
• Using modern AI tools as part of the design process across research, ideation, and prototyping stages (Figma Make, Cursor, lovable.dev, ChatGPT, Claude, etc.).
• Working closely with product, engineering, and ML teams — discussing, revisiting, and improving solutions based on feedback and shared understanding.
• Clearly present design solutions and rationale to cross-functional teams
• Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product  

We expect you to have: 

• 5+ years of experience in product teams (SaaS / B2B / DevTools experience is a strong plus). Strong product thinking and the ability to turn complex processes into clear and transparent user journeys.
• Experience working on technically complex products where understanding system logic and processes matters as much as UI. Ability to balance usability, consistency, and innovation in complex systems.
• Willingness to dive into the AI domain: how datasets are prepared for fine-tuning, how fine-tuning works, how agents and their workflows are structured.
• Openness to collaboration: ability to listen, argue constructively, and incorporate team feedback.
• Interest in UX research and a clear understanding of its value for product decisions.

It will be an added bonus if you have: 

• Experience with AI products, ML platforms, or developer tools.
• Understanding of API-first products.
• Experience designing enterprise-grade interfaces.
• Interest in product architecture and how systems work “under the hood.”

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories. 

We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.

In this role, you will:

• Translate product needs into agentic tools and services and ship them to production.
• Scale prototypes to large numbers of users.
• Improve and test our semantic search service.
• Build evaluation pipelines for code retrieval and coding task performance.

We’ll be happy to have you on our team if you have:

• At least five years of hands-on NLP experience.
• Experience in information retrieval systems.
• Strong experience in LLM prompt and tool engineering, as well as with AI agents.
• Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
• Experience building and operating production-grade software systems.

We’d be especially thrilled if you have:

• Experience developing in Kotlin or Java.
• Previously worked with code intelligence (e.g. AST, symbol graphs).

#LI-DNI

GTM Engineer at Unframe

Location: Remote (Global)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re hiring a GTM Engineer to build the systems that power our GTM motion and enterprise sales execution.

You will design and implement the automation, tooling, and data infrastructure that turns GTM strategy into repeatable pipeline. You’ll work directly with Sales Leadership, Enablement, Marketing, and Solutions to remove friction, increase selling time, and scale outbound in a thoughtful way.

If you enjoy creating systems that make sales teams materially more effective, this role is for you!

What you’ll do:

• Build scalable outbound infrastructure, including account selection, sequencing, enrichment, and routing, aligned to ICP and vertical strategy
• Design and maintain automations and integrations across Salesforce and the GTM stack that eliminate manual work for AEs and SDRs
• Create and manage GTM Agents built in support of seller productivity and GTM execution
• Partner with Sales Leadership, Enablement, and Marketing to ensure systems reinforce how we sell
• Evaluate and implement new tools and light scripting (APIs, automation platforms) with scale and maintainability in mind

What we are looking for:

• 3–6 years in Sales Ops, RevOps, Growth Ops, or a GTM Engineering-style role
• Experience supporting enterprise or complex B2B sales
• Proven track record building outbound or pipeline automation
• Strong CRM fluency (Salesforce preferred)
• Experience with sequencing and enrichment platforms
• Comfortable working with structured data (SQL or similar is a plus)

Why join us?

• Real ownership from day one. Drive decisions, shape ideas and make them work.
• Your fastest learning years. Build alongside founders and VPs in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Ready to Build the Future?

If this opportunity excites you, apply now!

VP Marketing 

Location: Berlin

About Unframe:

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role

Lead Unframe’s global marketing strategy. 

What you’ll do

• Own and execute Unframe’s global marketing strategy, aligned to company growth and revenue goals.
  
  
• Lead and scale the global marketing function, including team development, planning, investment, and organisational structure.
  
  
• Partner closely with Sales, Product, and executive leadership to strengthen category positioning, align priorities, and drive pipeline.
  
  
• Oversee demand generation, product marketing, PR, marketing operations, website and brand/communications strategy
  
  

What we are looking for

• VP-level marketing leadership experience with ownership of strategy, budget, headcount, and measurable revenue impact.
  
  
• Strong track record leading marketing across both US and international markets
  
  
• Deep enterprise B2B marketing experience within startup and high-growth environments.
  
  
• Expertise in enterprise technology, AI, technical buyer journeys, and product/category positioning.
  
  
• Strong cross-functional leadership and ability to operate effectively in fast-moving, ambiguous, high-ownership environments.

Why join us

Real ownership from day one. Drive decisions, shape ideas and make them work.

• Your fastest learning years. Build alongside founders in a space that moves weekly.
• You'll have the opportunity to write and build what comes next.

Ready to Build the Future?

If this opportunity excites you, apply now!

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.

Your responsibilities will include:

• Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
• Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
• Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
• Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
• Publishing research findings at top venues and representing Spectrum in the research community.

We expect you to have:

• A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
• A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
• Experience applying LLMs to structured knowledge extraction tasks.
• Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
• Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
• A background in code analysis, developer tools, or software engineering research.
• Experience with knowledge graph embedding methods or graph neural networks.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• Actively contributed to relevant open-source projects.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• Full support for publishing ML research and attending industry conferences.
• Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• A rare applied research role where your methods ship in a real product used by software teams.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

The impact you will make

For Finance, data is key. You will be the owner of our Finance digital infrastructure, ensuring our systems are always fit for purpose. With your support we will take our Finance processes to the next level of digitalization, leverage every AI-driven opportunity, and maintain high standards of data quality at all times. You will own Microsoft Business Central end to end, consolidate ERP ownership within Finance and build the automation infrastructure that allows Finance to scale without adding headcount. Our goal: enable our teams to focus their energy on solving the challenge of fusion, not on administrative processes.

Your responsibilities

• Take end-to-end ownership of Finance data and digital systems, with a strong focus on continuously innovating and optimizing Microsoft Dynamics 365 Business Central as the core ERP platform
• Own the BC product backlog: triage, prioritize and implement system improvements, configuration changes and new modules
• Lead the adoption and integration of AI-powered features and automation tools, leveraging MS Dynamics 365, Power Automate, Power Apps and Power BI
• Design, build and maintain Finance automation workflows using Power Automate, AI agents and API integrations
• Design and implement advanced KPI dashboards and predictive analytics solutions for actionable, forward-looking decision-making
• Serve as the internal SME and first point of contact for all Finance system questions, actively reducing external consultant dependency
• Drive month-end close to WD4 or earlier across all Group entities
• Collaborate closely with Finance, Purchasing, IT, FP&A, PMO and Corporate Development on cross-functional integrations
• Support the Finance team with a start-up mindset, championing innovation, agility and continuous improvement

What you bring

• In-depth hands-on experience with Microsoft Dynamics 365 Business Central across configuration, extensions, reporting and integrations, minimum 3 years in an ERP ownership or power-user role
• Practical experience with APIs, Power Automate and AI or LLM tooling in a Finance or ERP context
• First experience with Copilot Studio
• Strong understanding of Finance processes: AP, AR, month-end close and consolidation
• A degree in business administration, finance controlling or data analytics
• A keen eye for data quality with a solid grasp of data lifecycles and compliance-driven processes
• Strong analytical skills and a knack for finding practical solutions
• You bridge systems and business, not just IT
• Fluent in English, German is a plus

Nice to have

• Experience with agentic AI workflows or Copilot Studio in Finance environments
• Power Apps development for Finance-facing tools
• Exposure to supply chain or procurement modules within BC or a comparable ERP system

Social Media Coordinator

Location: Berlin, Germany 

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the Role

We’re looking for a creative and detail-oriented Social Media Coordinator to help build and scale our social presence.

In this role, you’ll own day-to-day social execution, from content creation and publishing to cross-functional coordination. You’ll work closely with different stakeholders to ensure every post is aligned with our brand and business priorities.

This is a great opportunity for someone who is excited to be hands-on with content, community building, and growing a high-impact presence in a fast-moving startup environment.

What You’ll Do

• Create engaging, high-quality content for social platforms, with a focus on LinkedIn
• Own the social content calendar, including scheduling and publishing posts
• Assist in translating product updates, campaigns, and company moments into compelling social narratives
• Partner with Product Marketing, Customer Marketing, Field Marketing, Demand Gen, Content Marketing, and Design to align on messaging and ensure brand consistency
• Coordinate social amplification across teams and campaigns
• Build and execute strategies to grow LinkedIn followership and engagement
• Actively engage with the community through comments, conversations, and interactions
• Track performance and report on key metrics including engagement, reach, and follower growth
• Continuously test, learn, and optimize content formats and posting strategies

What we are looking for:

• 2+ years of experience in social media, content marketing, or a related role
• Strong writing and storytelling skills, especially for B2B audiences
• Experience managing LinkedIn or other professional social platforms
• Highly organized with strong attention to detail and ability to manage multiple stakeholders
• A proactive, execution-focused mindset with a willingness to learn
• Comfort working cross-functionally in a fast-paced environment

Why Join Us

You’ll be part of a fast-growing AI startup shaping how enterprise companies adopt and use AI in real-world products. You’ll work alongside a high-performance team with deep expertise across product, go-to-market, enterprise technology, and AI, in an environment that values collaboration, ownership, and impact. As Unframe continues to grow, you’ll have meaningful opportunities for career development and leadership while working in a flexible and supportive remote setup.

If you’re a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact, we’d love to meet you.

Channel Manager at Unframe 

Location: EMEA, Remote

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

Role Purpose:

The Channel Manager will build, enable, and scale Unframe’s partner ecosystem. This role is responsible for developing strategic partnerships (VARs, GSIs, MSPs and technology partners), driving sourced and influenced revenue, and ensuring partners are effectively enabled to position and sell Unframe solutions.

You’ll work cross-functionally with Sales, Marketing, Product, and Customer Success to create a repeatable, scalable partner motion.

About the role:

Partner Strategy & Recruitment

• Develop and execute Unframe’s channel strategy aligned to revenue goals
• Identify, recruit, and onboard high-value channel partners
• Build joint business plans with key partners
• Establish clear partner segmentation and coverage models

Enablement & Activation

• Create and deliver partner enablement programs (sales training, technical onboarding, certifications)
• Equip partners with positioning, messaging, and competitive differentiation
• Support partners in pipeline generation and deal execution
• Drive joint marketing campaigns and co-selling initiatives

Revenue & Performance Management

• Own partner-sourced and partner-influenced revenue targets
• Forecast channel pipeline and performance metrics
• Establish KPIs and reporting dashboards
• Ensure alignment between direct sales and channel teams

Cross-Functional Collaboration

• Work closely with Sales to ensure clean rules of engagement
• Partner with Marketing on demand generation programs
• Provide product feedback based on partner/customer insights
• Collaborate with Customer Success on joint account expansion strategies

Core Skills:

• 5+ years in channel sales, partnerships, or ecosystem development (B2B SaaS or AI preferred)
• Proven track record of building and scaling partner revenue
• Experience working with VARs, GSIs, MSPs, or cloud providers
• Strong understanding of enterprise sales cycles
• Excellent relationship-building and negotiation skills 

Nice-to-Have Skills:

• Experience in AI, data, or enterprise technology
• Familiarity and success selling and recruiting into VAR ecosystems
• Experience in early-stage or high-growth startups

Why Join Unframe?

• Work at the forefront of enterprise AI adoption
• Build and shape the partner ecosystem from the ground up
• High ownership and visibility
• Competitive compensation + performance incentives

Ready to Build the Future? If this opportunity excites you, apply now!

WongDoody creates human experiences at 22 studios across 4 continents. We believe the future can be molded. And by shaping human experiences through creativity and tech, we work to build a future we believe in. 

For us, this starts with our own culture. We strive to create an inclusive environment where every human can bring their whole self to work. Our clients are brands we believe in, from global big players to local heroes to startups we love. With each of our partners, we embark on a journey of co-creation, pushing the boundaries of what's possible and exploring the space where creativity and tech meet. 

Our team of fun, welcoming, values-driven, and collaborative problem solvers has one focus at the heart of everything we do: human experience. Human experiences are the touchpoints where brands connect with customers. And we transform businesses by creating engaging, inspiring moments using strategy, creativity, data and technology - all backed by the global technological power of Infosys. 

Experience, Tech & AI 

We are a cross-unit and cross-location AI, tech and experience team. With more than 50 developers, AI & Fullstack engineers, UX designers and consultants working directly with other WongDoody teams, we are team players and specialists - oth in frontend and backend. As part of Infosys, we belong to a leading global technology company with access to solutions and extensive know-how in the fields of commerce, marketing automation and AI, among others.  

We are now looking for a Senior AI Engineer who combines strong engineering fundamentals with a pragmatic delivery mindset—turning ambitious ideas into stable, scalable AI systems.

Our local benefits 

• Flexible working hours and 100% overtime compensation
• Work where it works for you. At home or in the office, or any mix you like 
• Working for strong brands and clients we believe in 
• 30 days vacation per year 
• Company Benefits
• Urban Sports Club 
• Nice people in welcoming teams 

What you can expect 

AI Systems & Service Architecture

• Design and build production-ready AI services and backend systems
• Develop APIs, orchestrations, and integrations for GenAI and LLM-based applications
• Create technical foundations that enable teams to build, scale, and operate reliably
• Contribute to RFPs, pitches, and forward-looking AI solution concepts 

Reliability, Scale & Performance

• Ensure AI solutions run reliably, perform efficiently, and remain cost-effective
• Make architectural decisions around scalability, monitoring, security, and maintainability
• Optimize systems across quality, latency, operational cost, and developer experience 

Technical Leadership & Collaboration

• Work closely with Creative Technologists, Product, Design, and Engineering
• Lead technical discussions and bring clarity to complex initiatives
• Support other engineers through reviews, sparring, and best practices
• Engage in client-facing conversations and explain technical concepts to senior stakeholders

What we'd love to see 

• A passion for creative technology, curiosity for emerging AI tools, and the ability to turn ideas into working prototypes
• Analytical and structured mindset with the ability to make complexity simple
• End-to-end architecture from prototyping to production (including CI/CD, logging, analytics, and scaling)
• Several years of experience building production-grade AI or backend systems
• Strong experience in software engineering (Python and/or TypeScript)
• Practical knowledge of LLM frameworks,tools and protocols (LangChain, LangGraph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures
• Experience in integrating visual AI tools such as ComfyUI, Stable Diffusion, Google Imagen, or Adobe Firefly into broader workflow systems
• Proven experience integrating text-based AI APIs like ChatGPT, Claude, Gemini, or Llama into end-to-end workflow solutions
• Familiarity with prompting techniques, RAG pipelines, and AI workflow orchestration including guidance/guardrails, observability (P95, cost/request), evaluation pipelines
• Understanding of real-time communication protocols (Websocket / gRPC / PubSub event handling) and API integration across data and creative environments
• Competence in infrastructure setup (Docker, Terraform, cloud platforms like GCP, AWS, or Azure), understanding the resources cost factor and ability to optimize it
• Open-source engagement or hands-on experimentation with AI agents, visual frameworks, or orchestration systems
• Excellent English communication skills (German is a plus)
• Work permit for Germany and at least one year of work onsite in Germany
• Nice to have: Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems

Your impact 

You’ll shape the future of AI agent experiences and scalable AI systems that work reliably in production environments, create standards, and transform complex systems into meaningful, measurable experiences - for users, brands, and products. 

Please note: This is a job ad by WongDoody GmbH based in Germany. Through our website or other sources, you may find job ads published by one of our WongDoody sister companies around the globe with whom we act jointly under the band “WongDoody”. For each job offer, only the entity responsible which has published the ad. Contact persons, required information and applicable terms may differ. You can inform yourself how WongDoody GmbH is processing your personal data provided in the application process here. 

If you have any questions about the application process, feel free to contact our People & Culture Team directly under job@odt.net.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Python Ecosystem team builds PyCharm – one of the most popular Python IDEs in the world – along with the Python plugin for IntelliJ IDEA. As AI changes how developers write, debug, and ship code, we’re making our Python tools AI-native. We’re looking for an AI Lead to drive this effort by shaping the architecture, building key components hands-on, and guiding the team in making strong decisions around AI-powered product development.

In this role, you will:

• Lead the technical design of AI features in PyCharm and our Python tooling, including MCP integrations, agent workflows, tool design, and context management.
• Prototype and ship features yourself – this is a hands-on technical leadership role.
• Help the team adopt AI technologies effectively by providing technical guidance, reviewing approaches, and sharing practical patterns.
• Evaluate emerging AI tools, frameworks, and providers, and make pragmatic decisions about what to build and what to integrate.
• Work closely with product managers, ML engineers, QA specialists, and senior developers to turn product ideas into solid technical plans.
• Navigate a large Kotlin/Java codebase and expose IntelliJ Platform capabilities – such as code analysis, inspections, refactorings, and type inference – to AI-powered workflows.
• Contribute to cross-team AI efforts and help define shared engineering patterns where appropriate.

We’d love to talk to you if you have:

• Strong software engineering experience, particularly in Python and/or Kotlin/JVM.
• Deep, hands-on familiarity with modern AI tooling for developers, including coding assistants, agents, MCP, and LLM-based workflows.
• Experience working in large, mature codebases and delivering meaningful technical change without compromising quality.
• Familiarity with LLM evaluation and benchmarking.
• A track record of making good technical decisions in fast-moving, ambiguous areas like proposing architectures, building prototypes, and iterating based on feedback.
• Strong communication skills and the ability to influence technical direction without formal authority.
• A strong product sense and care about solving real user problems, not just building interesting technology.

Nice to have:

• Experience with IDE or developer tooling internals, such as language servers, code analysis, or related systems.
• Experience with the Python AI/ML ecosystem.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.

Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior AI/ML Engineer to build and evolve the ML-powered systems at the heart of our product.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction and retrieval, and subsequent reasoning.
• Creating datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving AI agents, which will involve prompt engineering, model selection, and inference optimization.
• Contributing to our MLOps practices, including orchestration, observability, and experiment tracking.

We expect you to have:

• At least four years of experience building ML/AI systems in production environments, with hands-on LLM experience.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangGraph, Pydantic AI, or an equivalent.
• Retrieval-augmented generation (RAG) patterns and vector databases.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal.

Our ideal candidate would also have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer:

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.
• A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
• Opportunities to publish research at top venues in collaboration with JetBrains Research.

#LI-DNI

About the Opportunity

At N26, security is the foundation of our bank. We are looking for a Senior Full-stack Engineer to join our Security Engineering team. In this role, you will be part of a small, high-impact, and independent team responsible for building and scaling the N26 Security Platform. This team acts as a central force within our security organization, building the internal products and automation engines that support multiple specialized teams across the company. This is a role for an engineer who thrives on autonomy and wants to solve high-stakes technical challenges. You will have the independence to lead technical decisions and transform complex security requirements into elegant, scalable software that protects millions of users.

As a Full-Stack Engineer, you will be at the forefront of our GenAI and LLM initiatives, building the foundational architecture required to safeguard sensitive data and automate data governance. You won’t just identify AI risks - you’ll engineer the solutions to mitigate them. Beyond AI, you will develop and scale secure-by-design features across our entire stack, ensuring our ecosystem remains resilient. By building the solutions that power our Product Security Programs, you will enable our engineering teams to ship secure code faster than ever.

Once here you will

• Design and Own End-to-End Solutions: Lead the architectural design and implementation of full-stack features, from robust backend services to intuitive internal dashboards.
• Build the Security Platform: Develop tools and platforms that enable other security teams to automate threat detection, incident response, and vulnerability management at scale.
• Enable the Organization: Act as a technical partner to various teams within the security department, building the shared infrastructure and automation they need to operate efficiently.
• Drive Technical Excellence: Choose the right tools for the job, maintaining a high bar for code quality, automated testing, and system reliability.
• Champion "You Build It, You Run It": Own the full lifecycle of your services, leveraging modern CI/CD practices and infrastructure-as-code to ensure seamless production deployments.
• Mentor & Influence: Share your full-stack expertise with the wider security organization, helping to foster a strong engineering culture within the department.

What you bring

• Strong Full-Stack Foundation: 5+ years of experience building production-grade applications. You are a "solid" engineer who can navigate both backend architecture and frontend user experience with ease.
• Technical Versatility: Deep proficiency in at least one backend language (Python, Go, or Java/Kotlin) and modern frontend frameworks (React is highly preferred).
• Self-Driven Independence: A proven track record of working effectively in small, autonomous teams. You are comfortable taking a vague problem and turning it into a concrete technical solution without heavy oversight.
• Cloud & Infrastructure Knowledge: Experience with AWS and containerization (Docker/Kubernetes).
• Security Interest (as a plus): While your primary strength is engineering, a strong interest in the security domain or prior experience with security automation tools (SAST/DAST, SIEM, SOAR) is a significant advantage.
• Quality Craftsmanship: A commitment to clean code, scalability, and building systems that are as secure as they are performant.

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• Additional day of annual leave for each year of service.  
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Sounds good? Apply now for this position.

Equal Opportunities:

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.

We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

Visit our website to learn more about Diversity, Equity, & Inclusion at N26.

A career driven by you. At LeasingMarkt.de, we bring customers and dealers together to make car leasing more accessible, transparent, and efficient. With over 1,000 partner dealerships and nearly 2 million users across the DACH region and the Netherlands, we’ve become Germany’s #1 leasing platform. To keep growing and driving innovation in the mobility space, we’re looking for a Senior Software Engineer to join our high-performance team at our Düsseldorf office. 

As a Senior Software Engineer, you will play a key role in designing and developing robust, scalable applications that power one of the largest automotive leasing marketplaces in Europe. You’ll collaborate with a cross-functional team to build and evolve solutions that are architecturally sound, easy to maintain, and built for long-term impact. You’ll help shape technical direction while raising the bar for software quality and stability across the platform. 

What you’ll do:

• Join one of our builders’ teams to build great products loved by our customers. 
• Apply an AI-first mindset to every phase of you-build-it-you-run-it: from design and coding to testing, deployment and operations.
• Work hands-on in real product codebases (for example TypeScript/Node/Next.js or Java/Spring), using GenAI tools to accelerate development, improve quality and simplify existing systems.
• Build and evolve AI-powered internal tools and workflows (assistants for coding, reviews, documentation, testing) that engineers across AutoScout24 can rely on every day.
• Act as a multiplier and culture driver: coach teams on effective GenAI usage, share patterns and anti-patterns, and help establish AI-first ways of working across our engineering organization.
• Experiment, measure and improve: run small, data-informed experiments with teams, learn what works in our context, and turn successful approaches into repeatable standards and playbooks. 

What you’ll bring: 

• Experience leveraging AI and Generative AI (GenAI) to enhance engineering productivity — including code generation, debugging, reviews, documentation, and decision support — with a proactive mindset toward adopting tools that streamline development and drive innovation. 
• Deep, hands-on experience building production systems (we expect you’ve spent at least 5 years doing this, possibly much more), ideally with PHP and Laravel as well as TypeScript/Node.js/Next.js on AWS, Azure or GCP.
• Demonstrated personal excellence in using GenAI coding tools (for example GitHub Copilot, ChatGPT, Claude Code, Cursor, OpenAI Codex) to significantly improve your own development speed and quality: code generation, refactoring, debugging, tests and documentation. 
• Experience integrating LLM APIs (such as OpenAI, Anthropic, Azure OpenAI, Vertex AI or similar) into applications or internal tools.
• Strong communication and influencing skills: you can introduce new tools and practices, align stakeholders, handle skepticism and iterate based on feedback.
• A curious, growth-oriented mindset: you actively seek out new practices and tools, you are comfortable learning in public, and you help others do the same.
• A pragmatic view of GenAI: you understand its limitations and risks and know how to put guardrails in place (reviews, tests, policies) to keep usage safe, compliant and sustainable at scale.
• Experience with performance optimization, caching strategies, and system observability is a plus. 

A culture of growth  

With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  

For a career where you can drive our business and shape your future, apply now. 

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

As a Senior Decision Scientist in the Product Analytics team, you will help drive measurement, strategy, and tactical decision-making within GetYourGuide. You will solve problems that could range from understanding how to best display our inventory to travelers; how can travelers explore, refine and compare; or developing a way to measure whether our customers’ on trip experience is optimal.

Your mission

• Develop quantitative analysis to understand customer problems and drive product decisions
• Help the Traveler group to learn about their features' impact by designing and analyzing Experiments.
• In collaboration with stakeholders identify opportunities and dependencies.
• Collaborate with Products and Engineering leads to develop a comprehensive understanding of end-to-end product experience.
• Design and implement data models, metrics and dashboards to guide the teams’ product strategy and success.
• Support the technical teams in tracking and producing more insightful data.  
• Contribute to the learning and experimentation culture of the company by promoting hypothesis-driven product development and evaluation.
• Answer the big questions to push our knowledge of our customers further.
• Contribute to the strategic thinking of the team by being a thought partner to the Product Manager. 

Your toolkit

• 5+ years of relevant experience interpreting data in an analytics or data science role.
• Previous experience working with agile product teams.
• Excellent stakeholder management & communication skills.
• Strong knowledge of SQL and Python
• Strong experience designing and analyzing product experiments (eg. AB testing or quasi experiments)
• Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)
• Ability to understand user behavior and meaning behind the numbers, and translate them into actionable insights
• Systems-oriented thinking, ability to connect the dots between multiple parts of the business in order to understand overall customer experience.
• Practical, solution-oriented mindset with a focus on driving customer and business impact.
• Desire to work in an international environment, with minimal direction in ambiguous situations and with highly engaged individuals.

Extras that give you an edge

• Experience processing event tracking data at scale.
• Familiarity with machine learning evaluation or model-driven personalisation is a plus.
• Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks)
• Experience with marketing experimentation
• Experience with LLM (OpenAI, Gemini, Anthropic).

How we’ll make your career journey extraordinary

• Annual personal growth budget and mentorship programs for continuous learning and development
• Work from anywhere in the world for 30 days per year
• A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
• Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
• Monthly transportation and fitness budget
• Discounts for you, your friends, and family on GetYourGuide activities
• Language reimbursement program
• Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 

#LI-Hybrid

About “Realist”

• Realist is an innovative WealthTech startup based in Germany, committed to transforming the financial industry through cutting-edge technology, data-driven insights, and scalable financial infrastructure. As we expand our platform and technology capabilities, we are looking for an experienced Senior Software Engineer to join our growing team in Berlin and help build the next generation of financial systems.

About the role 

• As a Senior Software Engineer, you will play a key role in designing and building high-performance financial systems that process large volumes of data reliably and securely. You will work closely with product, engineering, and data teams to architect scalable systems and contribute to the development of intelligent, AI-driven financial applications.
• This role requires strong experience in backend engineering, distributed systems, and data-intensive architectures, combined with a mindset suited for a fast-moving startup environment. We are particularly looking for someone who is a fast learner, able to quickly adapt to new technologies and evolving challenges.

Key Responsibilities

• Design, develop, and maintain scalable backend systems supporting data-intensive financial applications.
• Build and optimize high-performance OLTP systems for transaction-heavy workloads.
• Contribute to system architecture and design, ensuring reliability, scalability, and maintainability.
• Work with cloud infrastructure, particularly AWS, to deploy and manage production-grade services.
• Develop services using C#, Python, and Node.js within modern microservice architectures.
• Collaborate with data and engineering teams on data pipeline and OLAP system design where applicable.
• Implement and maintain AI-enabled features, including the development of agentic systems and AI-powered workflows.
• Apply modern AI engineering practices including LLM integration, evaluation frameworks (Evals), and guardrails.
• Contribute to engineering best practices, code quality standards, and technical mentorship within the team.
• Collaborate closely with cross-functional teams in a fast-paced startup environment.

Experience  

• Fluency in English, both written and spoken.
• Minimum 8 years of professional software engineering experience.
• At least 5 years of experience in the financial services or FinTech industry.
• Strong backend engineering experience with C#, Python, and Node.js.
• Proven experience building data-intensive OLTP systems.
• Experience with AWS cloud infrastructure and distributed systems.
• Solid system design and architecture skills.
• Experience working with large-scale data systems; exposure to OLAP system design is a plus.
• Strong team collaboration and communication skills.
• Ability to quickly learn and adopt new technologies and frameworks.
• Comfortable working in a startup environment with high ownership and autonomy.
• Strong exposure to modern AI engineering practices, including:
  • Building agentic systems
  • Experience with LangChain or similar frameworks
  • Working with Evals and Guardrails for LLM-based applications.

Compensation and Perks

•  An opportunity to help build the core technology of a rapidly growing WealthTech startup.
•  A collaborative and innovative engineering environment.
•  Competitive salary and compensation package.
•  The chance to work on cutting-edge AI and financial infrastructure systems.
•  Opportunities for professional growth and leadership as the company scales.

If you are a passionate and experienced software engineer looking to build advanced financial systems and AI-driven applications, we would love to hear from you.

 #LI-JM1

#LI-Hybrid

LLM Platform Engineer/Lead (m/f/d)

Berlin, Bangalore, Remote

Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a LLM Platform Engineer/Lead who will be part of our Engineering team. 🙌 But wait, you have not heard of Kayzen before? 😃

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface.

The Team

The Platform Engineering team owns Real-time bidding (RTB) platform, a Real-time budget system, Real-time event processing, Stream data processing engine and multiple other complex large-scale distributed components and data pipelines. We work closely with data scientists, data analysts, product and business teams. We are responsible for some of the most technically challenging work, for example:

• Handling ~2 Million Req/sec in sub-millisecond latency
• Handing & managing ~Petabytes of data
• Managing distributed systems deployed across multiple data centers
• Optimizing JVM and Linux kernel for optimal performance
• Managing our own data center spread across the globe consisting of thousand of powerful servers
• Working on some of the most challenging problems of Ad-Tech

Sounds interesting. Isn't it?

About the Role

We are looking for an  LLM Platform Engineer  /Lead who can  evangelise AI across the company  and build the  foundational tooling, frameworks, and workflows  that allow teams to ship AI-powered features quickly and safely. This role is ideal for an engineer who understands modern AI capabilities and focuses on  developer velocity, reuse, and production readiness  rather than training complex models from scratch.

Responsibilities

• Design and build  internal AI frameworks, SDKs, and shared libraries 
• Enable teams to integrate AI features with minimal friction
• Set up  standardized patterns  for using LLMs, embeddings, agents, and workflows
• Build reusable components for  prompt management, evaluation, observability, and safety 
• Define best practices for  AI usage, cost control, and reliability 
• Evangelise AI internally through documentation, examples, and hands-on guidance
• Rapidly prototype AI-powered features and turn them into reusable building blocks
• Own AI tooling from experimentation to production

Requirements

AI Tooling & Framework Experience (Core Focus) 

• Hands-on experience with  LLM APIs  (OpenAI, Anthropic, etc.)
• Experience with  RAG pipelines, embeddings, vector databases 
• Familiarity with  prompt engineering, prompt versioning, and evaluation 
• Experience with  AI orchestration frameworks 
• Understanding of  AI observability, cost monitoring, and failure modes
• You’ve shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
• Comfortable with embeddings, fine-tuning, vector search, tokenization, and evaluation methodologies.
• Familiar with data lakes/warehouses, feature stores, and streaming/batch ETL; cloud (AWS/GCP/Azure).

Strong Engineering & Platform Skills 

• Excellent  Python  skills (required)
• Experience building  frameworks, platforms, or developer tooling 
• Strong understanding of  APIs, services, and system design 
• Writes clean, maintainable, production-grade code

Startup Mindset

• Bias for shipping and iteration
• Can translate AI complexity into simple abstractions
• Comfortable with ambiguity and rapid change
• Thinks in terms of  leverage and reuse , not one-off solutions

Less About

• Heavy model training or research
• Designing custom ML algorithms
• Academic optimization work.

Nice to have

• Experience with  agent-based systems  and tool calling
• Experience setting up  guardrails, moderation, and safety checks 
• Familiarity with  Docker, cloud infra, and CI/CD 
• Prior work in  platform teams or enablement roles

What do we offer?

• Reporting directly to Co-founder & CTO
• Direct access to top management and an extremely “visible” role
• Exceptional career growth and learning opportunity
• A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market
• A fun, driven, and multinational team located across Germany, India, UK, Argentina, Ukraine, Turkey, Spain  and many more countries
• A flexible work-from-home arrangement
• A 500-dollar home-office setup budget
• A 1000-dollar annual learning and development budget

Strategic Account Executive 

Location: DACH - Berlin

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

Drive Enterprise Transformation

Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.

Own the Full Sales Cycle

Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.

Solution Architecture

Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.

Account Expansion

Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.

Go-to-Market Partnership

Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies

Proven track record closing $1M+ ACV deals in early-stage environments

Experience selling complex technical solutions to CIO organizations

Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting

Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch

Success in highly regulated industries with complex compliance requirements

Nice-to-Have Skills:

Regulated industry experience, early-stage success

Why Join Us

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

Social Media Specialist

Location: Berlin, Germany 

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the Role

We’re looking for a creative and detail-oriented Social Media Specialist to help build and scale our social presence.

In this role, you’ll own day-to-day social execution, from content creation and publishing to cross-functional coordination. You’ll work closely with different stakeholders to ensure every post is aligned with our brand and business priorities.

This is a great opportunity for someone who is excited to be hands-on with content, community building, and growing a high-impact presence in a fast-moving startup environment.

What You’ll Do

• Create engaging, high-quality content for social platforms, with a focus on LinkedIn
• Own the social content calendar, including scheduling and publishing posts
• Assist in translating product updates, campaigns, and company moments into compelling social narratives
• Partner with Product Marketing, Customer Marketing, Field Marketing, Demand Gen, Content Marketing, and Design to align on messaging and ensure brand consistency
• Coordinate social amplification across teams and campaigns
• Build and execute strategies to grow LinkedIn followership and engagement
• Actively engage with the community through comments, conversations, and interactions
• Track performance and report on key metrics including engagement, reach, and follower growth
• Continuously test, learn, and optimize content formats and posting strategies

What we are looking for:

• 2+ years of experience in social media, content marketing, or a related role
• Strong writing and storytelling skills, especially for B2B audiences
• Experience managing LinkedIn or other professional social platforms
• Highly organized with strong attention to detail and ability to manage multiple stakeholders
• A proactive, execution-focused mindset with a willingness to learn
• Comfort working cross-functionally in a fast-paced environment

Why Join Us

You’ll be part of a fast-growing AI startup shaping how enterprise companies adopt and use AI in real-world products. You’ll work alongside a high-performance team with deep expertise across product, go-to-market, enterprise technology, and AI, in an environment that values collaboration, ownership, and impact. As Unframe continues to grow, you’ll have meaningful opportunities for career development and leadership while working in a flexible and supportive remote setup.

If you’re a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact, we’d love to meet you.

Business Development Representative (Remote) at Unframe 

Location: Berlin, Germany

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About The Role

We’re looking for a motivated and relentless Business Development Representative (BDR) to join our Sales team. This role is 100% focused on hunting, with a strong emphasis on cold calling, email outreach, and other outbound activities. You’ll be the first point of contact for prospective enterprise customers and will play a crucial role in building pipeline and fueling Unframe’s next stage of growth.

What You’ll Do

    •    Hunt for new enterprise leads via cold calls, email, and LinkedIn
    •    Qualify prospects and set up meetings for the sales team
    •    Research accounts and tailor outreach to decision-makers
    •    Track activity in our CRM and iterate on messaging

What We are looking for

    •    1–3 years in outbound sales (BDR/SDR), ideally in B2B SaaS
    •    Cold outreach prospecting experience
    •    Fluent in English, French. Spanish or Italian is a plus. 
    •    Experience with tools like Outreach, Salesforce, LinkedIn Sales Navigator, and Lusha
    •    Bonus: Experience with AI, data, or enterprise tech sales

Why Join Us?

You’ll be part of a fast-growing AI startup shaping how enterprise companies adopt and use AI in real-world products. You’ll work alongside a high-performance team with deep expertise across product, go-to-market, enterprise technology, and AI, in an environment that values collaboration, ownership, and impact. As Unframe continues to grow, you’ll have meaningful opportunities for career development and leadership while working in a flexible and supportive remote setup.

If you thrive in a performance culture with real backing behind you, you will win here.

Business Development Representative (Remote) at Unframe 

Location: Berlin, Germany

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About The Role

We’re looking for a motivated and relentless Business Development Representative (BDR) to join our Sales team. This role is 100% focused on hunting, with a strong emphasis on cold calling, email outreach, and other outbound activities. You’ll be the first point of contact for prospective enterprise customers and will play a crucial role in building pipeline and fueling Unframe’s next stage of growth.

What You’ll Do

    •    Hunt for new enterprise leads via cold calls, email, and LinkedIn
    •    Qualify prospects and set up meetings for the sales team
    •    Research accounts and tailor outreach to decision-makers
    •    Track activity in our CRM and iterate on messaging

What We are looking for

    •    1–3 years in outbound sales (BDR/SDR), ideally in B2B SaaS
    •    Cold outreach prospecting experience
    •    Fluent in English, German. Dutch is a plus. 
    •    Experience with tools like Outreach, Salesforce, LinkedIn Sales Navigator, and Lusha
    •    Bonus: Experience with AI, data, or enterprise tech sales

Why Join Us?

You’ll be part of a fast-growing AI startup shaping how enterprise companies adopt and use AI in real-world products. You’ll work alongside a high-performance team with deep expertise across product, go-to-market, enterprise technology, and AI, in an environment that values collaboration, ownership, and impact. As Unframe continues to grow, you’ll have meaningful opportunities for career development and leadership while working in a flexible and supportive remote setup.

If you thrive in a performance culture with real backing behind you, you will win here.

About the team:

Our mission is to  build a modern ecosystem used for all IONOS customer support needs. The tools developed by us are used in over 20 locations, by more than 2.000 users, supporting 8 million customer contracts in 10 markets.

The development team has full responsibility for the development lifecycle. This means we plan, develop, test and deploy our software without any other internal or external dependencies.

Our portfolio revolves around an internally built CRM which is now being enhanced with AI capabilities. 

About the product you will be building:

We are building a next-generation AI platform designed to redefine how our company interacts with customers. This isn't just a chatbot; it's a high-performance, multimodal AI ecosystem powered by state-of-the-art Speech-to-Speech (S2S) models, advanced Large Language Models (LLMs), and intelligent orchestration frameworks. Our platform will understand, reason, and respond across text and voice — while seamlessly executing real-time actions to resolve customer needs.

We are aiming for a hybrid architecture of Open Source LLMs, industry-leading proprietary models, and Model Context Protocol (MCP) to enable contextual reasoning, tool invocation, and seamless orchestration across systems. The goal is not just to talk to the customer, but to act on their needs.

What makes this project unique:

The Voice Frontier: We are building low-latency, emotive speech-to-speech pipelines for a truly natural voice channel experience.

Deep System Integration: Our platform connects directly to the company's core systems via MCPs, allowing the AI to access real-time customer context and execute complex workflows.

Self-Evolving Logic: We are developing  an automated QA and evaluation module that continuously analyzes interactions across channels.By programmatically measuring quality, accuracy, latency, and resolution outcomes, we can close the feedback loop, and adapt system behavior in hours, not weeks.

Hybrid Innovation: You’ll work at the intersection of "build vs. buy," integrating the best of the open-source community with custom-built internal infrastructure.

What's in it for you:

You won't just be shipping code; you’ll be part of making this concept evolve and shift.
You’ll join a friendly, experienced team where your voice matters and your contribution shapes real-world outcomes. You’ll work in a modern environment with technologies and practices that help us ship reliable software efficiently.

Role description:

As an AI Engineer on this team, you will build the core intelligence systems behind our multimodal AI platform.You will be responsible for moving beyond simple chat interfaces to build high-performance, real-time systems that handle complex reasoning, deep context retrieval, LLM orchestration, retrieval-augmented generation (RAG) and seamless voice interactions.

Main responsibilities:

• Design Agentic Workflows: Design and implement LLM-based systems that go behind response generation - enabling structured tool usage, workflow orchestration, and secure interaction with internal services via MCP (Model Context Protocol).
• Build and Optimize RAG & CAG: Develop high-performance Retrieval-Augmented Generation and Context-Augmented Generation pipelines to ensure accurate, relevant, and low-latency responses. Continuously improve context management, ranking strategies, and grounding mechanisms to support complex, multi-step interactions.
• Voice Channel Mastery: Develop and optimize real-time Speech-to-Speech (S2S) pipelines, focusing on streaming architectures, latency reduction  (including Time to First Word - TTFW) and maintaining a natural conversational flow.
• Evaluation, Quality & Alignment: Build and maintain an automated QA module, including LLM-as-a-judge patterns, to measure accuracy, safety, latency, and resolution quality at scale. Translate evaluation insights into systematic models and prompt improvements..
• Model Strategy & Hybrid Integration: Integrate and operate both commercial foundation  models (e.g., OpenAI, Anthropic, Google) and open-source alternatives (e.g., Qwen, Kimi, DeepSeek, Moonshot, GLM), selecting and optimizing models based on performance, latency, cost, and use-case requirements.

We are looking for some of:

• Strong Python and/or Java Engineering Skills: Advanced-level Python development experience, including  asynchronous programming (e.g., FastAPI, asyncio) and building high-performance, production-grade services. Experience with streaming architectures is a strong advantage.
• LLM Application & Multi-Agent Orchestration Experience: Hands-on experience building LLM-powered systems, including multi-step workflows, stateful agents, and tool invocation. Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or LangGraph, particularly in building stateful, multi-turn agents.
• Advanced Retrieval & Context Management: Deep understanding of vector databases (e.g., Weaviate, Qdrant, pgvector, Elasticsearch), semantic search, embedding strategies, and re-ranking techniques. Experience designing and optimizing RAG pipelines.
• Real-Time & Low-Latency Systems: Experience in designing systems that operate under latency constraints, including streaming APIs, event-driven architectures, and performance optimization. Understanding of trade-offs between quality, cost, and response time.
• Evaluation-Driven Development: Experience in implementing evaluation frameworks for LLM-based systems, including automated QA pipelines and LLM-as-a-judge patterns.
• Familiar with API Design: knowledge of RESTful API design, OAuth2

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.

At IONOS, the leading European provider of cloud sovereign infrastructure, cloud services and hosting services, you will work together with a wide range of teams. We are characterized by open structures, a friendly working culture and flat hierarchies with a strong team spirit. We firmly believe that work and fun are compatible, and offer you the right environment for this. Our constant growth means that we are always looking for new colleagues. Become part of IONOS and grow with us.

Tasks

• Develop and implement commercial product strategies and plans in line with business objectives.
• Create business cases for commercial activities and define service pricing.
• Close collaboration with teams from development and operations engineering, as well as marketing and sales, to coordinate the go-to-market strategy for product launches and adjustments.
• Define and monitor product success metrics and derive appropriate measures for optimization.
• Develop and maintain business relationships with external partners and stakeholders.
• Conduct market and competitive analyses to identify business opportunities and respond to market trends.
• Create robust business cases and define competitive pricing models for high-performance resources, specifically optimized for GPU instances and AI model hosting.
• Conduct deep-dive market and competitive analyses of the AI infrastructure landscape to position IONOS as a cost-effective, high-performance sovereign solution provider.
• Supporting the business with your expertise Silicon vendors (e.g. NVIDIA) and AI software frameworks to ensure our infrastructure supports modern Open Source LLM deployments (e.g. OpenAI, Meta, Mistral, Black Forest Labs).

Qualifications

• Master’s/Bachelor’s degree in Business Administration, Engineering, Computer Science, or a comparable field.
• Cloud & AI Expertise or relevant experience in a Cloud Provider environment with a deep understanding of the AI lifecycle—from infrastructure requirements for training to the unit economics of inference.
• Strong technical understanding of GPU’s stacks or hardware accelerators and their role in modern software stacks.
• Proven ability to translate complex technical capabilities (like RDMA networking or GPU memory bandwidth) into compelling commercial value propositions for customers.
• Excellent skills in data-driven decision-making and the ability to build complex business cases in a growth-oriented environment.
• Fluent in English (written and spoken) with the ability to explain technical AI concepts to non-technical stakeholders. German language skills are advantageous but not mandatory.

Benefits

• Hybrid working model.
• Flexible working hours through trust-based working hours.
• At some locations a subsidized canteen and various free drinks.
• Modern office space with very good transport connections.
• Various employee discounts for activities and products.
• Employee events such as summer and winter parties, as well as workshops.
• Numerous training and development opportunities.
• Various health offers, such as sports and health courses.