The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

We are looking for an experienced Corporate Infrastructure Engineer who will be focused on Wolt and Doordash´s IT Infrastructure. This role will build and scale our systems to support a fully automated infrastructure by leveraging various technologies. You will work closely with several teams here at DoorDash including (but not limited to): Security, IT, Network Engineering and Enterprise Systems.

Our ideal candidate for this position will have the ability to identify problems and offer resolutions in a timely manner. You will be responsible for the design, development and implementation of corporate IT systems. You will report into the Manager, Infrastructure in our IT organization.

What you’ll be doing

• Run and maintain our corporate infrastructure hosted in AWS
• Maintain and administer infrastructure deployment tools
• Be self motivated to build high quality, scalable systems with cross-functional teams
• Be able to think critically, get into the details and change directions rapidly
• Be able to handle multiple contending priorities and effectively plan your work accordingly
• Navigate existing technologies and quickly learn and adapt to new technologies
• Make recommendations for the improvement and development of IT systems

Our humble expectations*

• You have 4+ years of experience in an Infrastructure Engineering role
• You have demonstrated experience with Python, bash and other scripting fundamentals
• AWS, Azure, Kubernetes, Docker and GCP systems/tools of high familiarity
• You have 2+ years of experience with Infrastructure as a Code tools like Terraform, CloudFormation, Pulumi.
• You have 2+ years of experience working with microservices
• You understand that monitoring/observability is equally important. Experience with but not limited to tools like Prometheus, Grafana, Nagios, Datadog, Splunk.
• You have experience in configuration management and security management
• You are a self starter with attention to detail who understands the value in system monitoring

Next steps

All applications are reviewed by a real human, so please be patient. Qualified candidates will have the opportunity to speak with a member of our recruiting team before moving on to talk with the hiring manager. This is a highly technical role so the next step will be a live scripting/coding interview, followed by chats with members of the team and cross-functional partners.

We are looking to fill this role as quickly as possible, but are committed to finding the right candidate who will be successful in the role

Senior Technical Account Manager - EMEA

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone.

The Role: We are looking for a customer-centric Senior Technical Account Manager (TAM) with a direct focus on our largest enterprise customers. The TAM is a technical professional who helps optimize Aiven’s customer experience and accelerate time-to-value when using Aiven’s Open Source services. You will act as a single point of contact and customer advocate, providing direct access into Aiven business functions such as Support, Engineering, Product Management, Marketing, and Executive Staff.

What You'll Do:

• Build Relationships: Help customers succeed by building successful relationships throughout the entire customer journey.
• Technical Strategy: Develop a deep technical understanding of the customer’s business priorities, operational models, cloud architecture, and technical initiatives.
• Operational Advisory: Maintain awareness of customer operations to assist with operational planning and risk management, acting as an advisor for deployments.
• Cross-Functional Advocacy: Act as a conduit into Aiven’s Sales, Support, Engineering, and Product Management teams to represent customer interests.
• Operational Reviews: Conduct regular reviews on incidents, field advisories, security vulnerabilities, and root-cause analysis.
• Sales Collaboration: Participate in sales account planning and support account penetration and pipeline growth strategies.
• Travel: Travel up to 10% of the time to meet with customers.

What We're Looking For:

• Technical Expertise: A deep conceptual and hands-on understanding of Apache Kafka and at least one of the following: PostgreSQL, ClickHouse, or OpenSearch.
• Consulting Background: Proven experience in technology sales, pre-sales, or technical consulting.
• Development Skills: Fluency in one or more programming languages such as Java, Python, Go, or Ruby.
• Cloud & Infrastructure: Knowledge of public clouds (AWS, Google, or Azure) and experience with Linux operating systems, networking basics (DNS, VPC), and relational databases.
• Communication: Excellent presentation and problem-solving skills, with the ability to articulate technical requirements to both customers and internal Product teams.
• Project Management: Ability to manage multiple projects, determine urgency, and execute detailed action plans.
• Nice to Have: Previous experience in Customer Relationship Management (CRM) and migration experience (e.g., Oracle to PostgreSQL).

Amazing! What’s next: If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch! You can generally expect 4 stages with us:

1. 30-45 minute call with a Talent Partner.
2. 45-minute Depth of Expertise Interview with the hiring manager.
3. 1-hour Skills interview/presentation with the wider team.
4. 1-hour Company Values interview.

Global Benefits: Our global benefits are designed to help you thrive and grow, personally and professionally:

• Equity: Participate in Aiven’s equity plan.
• Flexibility: Balance work and life with our hybrid work policy.
• Gear: Choose the equipment you need to set yourself up for success.
• Learning: Use your Professional Development Plan budget for learning opportunities.
• Wellbeing: Receive holistic wellbeing support through our global Employee Assistance Program.
• Time Off: Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time).
• Open Source: Get paid to contribute to open-source projects via our Plankton program.
• Volunteering: Use up to 5 days per year to volunteer for a cause of your choice.

How to Recognize and Avoid Employment Scams: There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person. Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities: Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. If you have any questions before applying please write to us at recruitment@aiven.io.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Mission 

As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 7+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Experience with data engineering, or a good understanding of the concept of data engineering
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

We are looking for a Staff Engineer to join team Aqueduct, a team building our data platform for powering large-scale cross-platform advertising. Our ideal candidate is a seasoned professional who has experience in designing, implementing and managing data platforms and pipelines that are scalable, reliable and efficient.

For our customers, ensuring their data is available and composable can:

• unlock the potential of creative automation with image and video templates
• power agentic workflows that utilise the data
• allow analysis of the relationship between product data and ad performance.

Being able to sync our customers’ product data across multiple advertising channels consistently and with minimal delays ensures that:

• the ads consumers see have the latest information
• products that are out of stock are not advertised
• regulatory requirements are met

The team currently has a backend written in Ruby on Rails, and we own small parts of the frontend written in TypeScript and React. We’re moving our data systems from Ruby to a language and architecture better suited for the workload and capable of scaling with our growth. We're looking for an expert to lead the build and design of this new platform using the right tools for the job.

Projects you get to work with

• Design and build a large scale data storage and processing system that needs to process billions of records per day
• Drive the long term architecture and engineering excellence inside the team by coaching and mentoring other engineers
• Collaborate with stakeholders from across the organization: engineering, product and business
• Define and monitor SLAs, and follow SRE best practices to ensure the stability and availability of the system
• Build APIs for internal and external consumers of the data
• Affect the ROI for billions of dollars in ad spend

What We Are Looking For

• 8+ years of industry experience
• Strong programming skills (e.g., Python, Scala and/or Java)
• Deep experience with data processing frameworks (e.g., Spark, Flink, Databricks, Snowflake, BigQuery, Redshift, ClickHouse)
• Familiarity with streaming systems (e.g Kafka, Kinesis)
• Expertise in SQL and some RDBMS (PostgreSQL, Citus, etc.)
• Experience with orchestration tools (e.g., Airflow, Argo)
• Experience with data governance tools (e.g., OpenMetadata, GreatExpectations, Apache Atlas, dbt)
• Solid understanding of distributed systems and cloud platforms (AWS/GCP/Azure)
• Proven track record of designing large-scale data systems
• Experience in technical leadership and mentoring other engineers
• Experience with Ruby on Rails is considered a plus
• Ability to work in a hybrid capacity from our Helsinki office 3 days a week 

What We Offer You

At Smartly, we offer a place where you can advance your career. Here, you'll find:

An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged.

Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth.

Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave.

Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities.

Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.

Smartly is committed to being a great place for growth-minded individuals to thrive. Explore more in our Culture Handbook!

Apply Now and Build Your Future with Smartly!

Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together

#LI-HYBRID