About Dashlane

Dashlane's mission is to make security simple for millions of organizations and their people. We empower businesses of every size to protect company and employee data while helping everyone easily log in to the accounts they need—anytime, anywhere. 

Our global team with offices in Paris, New York, and Lisbon is united by a strong sense of community and passion for improving the digital experience. Over 15 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.

About the role:

Dashlane is looking for our first CSM based in our Lisbon office to help us continue to support our growing EU customer base. You will lead a "dual-motion" portfolio: providing high-impact, reactive management for our Scale Segment while directly managing a portfolio of dedicated accounts. You will own the relationship and success of these accounts with a core focus on Onboarding/Deployment, Retention, and Expansion. 

We’re looking for a self-motivated, hungry to learn individual who thrives in a fast-changing environment. This isn't a traditional "maintenance" role. You are here to drive velocity. You will be a critical member of a growing team, collaborating across Sales, Product, and Engineering to ensure our customers thrive and expand with us. 

At Dashlane you will:

• Architect Success at Scale: Manage a high-volume "Pool" of accounts using a "one-to-many" approach, utilizing automated health checks and AI-driven insights to intervene proactively.
• Drive EU-based Accounts: Fully own a diverse list of high-value EU customers, acting as their trusted advisor and subject matter expert.
• Lead Onboarding & Renewals: Direct the entire customer journey from the initial deployment, lifecycle, complex pricing negotiations and annual renewals.
• Leverage AI for Efficiency: Utilize modern AI tools to streamline communication, analyze customer sentiment, and optimize your bandwidth for high-value strategic work.
• Collaborate Globally: Work independently but stay deeply connected to our global teams in NYC and Paris, sharing feedback with internal development teams to shape the future of our product.
• Meet and exceed quarterly quotas to ensure Dashlane successfully retains and grows our existing account base revenue.
• Become an expert in Dashlane’s product, offerings and overall value to drive success with your customer base
• Proactively find opportunities for growth, both within your book of business and within our team’s processes and procedures

Requirements:

• 2+ years of Customer Success or Account Management experience, ideally within a fast-paced B2B SaaS or Tech environment.
• Business level fluency in English required
• Proven experience managing renewals and leading pricing/contract negotiations.
• You are comfortable using AI tools (i.e. Gemini, ChatGPT) 
• Exceptional organizational and prioritization skills, as well as a high degree of Operational Rigor
• As our first Lisbon hire, you must be resourceful and comfortable operating with minimal in-person supervision.

What we're also looking for:

• Business level fluency in French is a major competitive advantage
• A proven track record of consistently exceeding expansion or NRR quotas.
• Domain knowledge in Identity and Access Management (IAM) or cybersecurity.
• Experience with deployment strategies for technical IT audiences.
• High degree of perseverance and passion for our product and mission. 
• Tech-savvy, personable with natural problem-solving abilities and demonstrated discretion and ability to work with confidential information. 
• Ability to think critically, troubleshoot and solve complex problems in a fast-paced, data-driven, metrics-oriented environment

Location-Specific Information:

You will be based in Lisbon, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

What Dashlane offers you:

• Flex Benefits - allocate a monthly amount to a pool of benefits
• Health insurance covered by Dashlane
• 5 extra vacation days each year, plus your birthday off
• Company wide well-being days (one per quarter)
• Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
• Donation matching program -  Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
• Access mental health services through Spring Health, available for you and your family members
• Team building & social events - weekly lunch in the office and monthly happy hour
• and much more

Highlights:

Role: Senior ML-Engineer

Location: Portugal, Remote

Language: Russian-speaking team; Strong English required (B2)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.

We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.

The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.

What You’ll Do

• Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
• Select the most appropriate ML/LLM approaches or propose alternative solutions.
• Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
• Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
• Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Role: Senior ML-Engineer, Finance

Location: Portugal, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
• Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
• Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
• Drive product direction with a strong user focus, always advocating for the best end-user experience.
• Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
• Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
• Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

Who You Are:

• You have a BS/MS/PhD in a scientific field or equivalent experience
• 10+ years of relevant engineering experience, as well as experience acting as a technical lead
• Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
• You have significant experience in model deployment, development, training, fine-tuning, and evaluation
• You are passionate about mentoring others and cultivating a high-performing engineering culture.
• You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Let's start with the role

As a Principal Data Scientist, you will play a critical role in leveraging data and AI to deliver value and create a competitive advantage for the organization. The ideal candidate will be a tenured Data Scientist, ML or AI engineer that has a proven track record of designing and implementing cutting-edge, data-intensive and AI-empowered applications along with the corresponding ML/DL algorithms.

As a Principal Data Scientist your main responsibilities will be

• Architecture: Architect scalable, reliable and high-performance AI applications along with their corresponding ML/DL algorithms.
• Innovation: Tech-lead the AI tribe in order to deliver state-of-the-art AI models in production.
• Mentorship: Inspire and mentor fellow data scientists, fostering technical and soft skill growth.
• Pioneering: Stay ahead of the AI curve, applying emerging technologies to enhance our capabilities and disrupt the industry. 
• Strategic Planning & Prioritization: Define the company-wide AI technical and product roadmap, in-line with the business product roadmap. Resist the AI hype and enable impact-driven prioritization with quick and impactful PoCs that demonstrate the value.
• Autonomy & end-to-end Ownership: From ideation all the way to operationalization and maintenance, demonstrate autonomy on high-complexity projects and ownership of the outcome.

What you’ll bring

• 8+ years of hands-on experience leveraging large-scale data to build ML/DL models with Python
• PhD-level expertise in one or more of the following domains: Recommendation Systems, Natural Language Processing, Computer Vision, Speech and Audio, Time-series, Reinforcement Learning, Graph Learning
• A deep understanding of the ML development lifecycle and how to optimize the trade-offs in each step. 
• Proven track record of designing, implementing, optimizing and scaling performant AI-empowered applications. Solid experience with MLOps practices in order to operationalize and maintain those applications in production.
• Excellent communication and collaboration skills targeting a diverse audience from stakeholders to cross-functional technical teams, in order to provide technical guidance and insight.

• Expertise in genAI or agentic AI. Hands-on experience in prompt design, optimization, testing and evaluation for different types of foundational models.
• Familiarity with a wide range of big data technologies, such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink and NoSQL databases.

We're looking for an AI expert who wants to be at the forefront of innovation in the iGaming industry. Join us in shaping the future of iGaming with breathtaking experiences that thrill and delight players around the world.

Kaizen Gaming Perks

• 🕑 Hybrid model of working; 
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive salary package and bonus scheme;
• 👩‍⚕️ Health and life insurance for you and your family;
• 💰 Monthly meal allowance 
• ⭐ Developmental 360° feedback framework;
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.
• #Li-Remote

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

As a Lead AI Engineer on our Data Platform & Services (DPS) team, you will apply your expertise in AI capabilities to build and deploy production grade AI powered systems towards data engineering, analytics & product evolution use cases.  You’ll design and deploy agentic frameworks, natural language querying (NLQ) capabilities, and prompt/LLM evaluation strategies that unlock insights at scale across Upwork. This is an opportunity to deliver tangible impact, enabling faster decision-making, democratizing data access, and empowering analysts, product teams and stakeholders throughout the company.

Responsibilities

• Design and implement scalable agentic frameworks that coordinate multiple AI agents to deliver accurate and reliable outcomes.
• Build and optimize natural language query solutions that provide compliant, intuitive, and self-service access to enterprise data.
• Develop and maintain evaluation frameworks for LLMs and prompts, driving measurable improvements in accuracy, scalability, and resilience.
• Partner with data engineering peers to integrate AI orchestration with Python, SQL, and Snowflake pipelines.
• Contribute to AI-powered summarization and explanation tools that enhance reporting, insights, and executive reviews.
• Collaborate cross-functionally with product, analytics, and business teams to ensure solutions meet measurable business goals.

What it takes to catch our eye

• Proven experience delivering AI-powered data systems in production, including hands-on expertise with LLMs and prompt engineering.
• Strong foundation in modern data engineering, with proficiency in Python, SQL, and platforms such as Snowflake.
• Demonstrated ability to design agentic orchestration frameworks that scale across diverse business scenarios.
• A collaborative problem-solver with strong communication skills, able to align stakeholders and create clarity across teams.
• Growth mindset, excited to learn, iterate, and deliver measurable business outcomes through applied AI.

Come change how the world works.

Position Overview

We are seeking a highly skilled DevOps/Cloud Platform Engineer to join our engineering organization and help drive the next generation of our infrastructure and CICD platform capabilities. In this role, you will be an integral part of our CICD release process, responsible for designing, operating, and optimizing CICD runners and environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable, and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure our systems are scalable, resilient, and easy to use.

The ideal candidate brings a strong blend of CICD knowledge, cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity.

This is an operations role for someone who thrives in solving complex technical problems, improving processes, and building platforms that accelerate engineering velocity.

What you'll do:

• Develop, enhance, and maintain CI/CD self-hosted infrastructure using modern DevOps tooling (GitHub Actions Runners stack, ArgoCD, FluxCD etc.).

• Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages.

• Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, etc.).

• Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions

• Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization.

• Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity.

• Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls.

• Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows.

Your Experience:

• 4-8+ years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles.

• Familiar with GIT and comfortable with at least one systems programming language (C/C++, golang) and one scripting language (python, bash).

• Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack).

• Working knowledge of at least one of observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting.

• Strong hands on experience with Kubernetes management in production environments

• Experience designing, developing, and/or troubleshooting distributed systems.

• Comfort with shells on *nix family systems.

• B.S. degree or equivalent experience in Engineering, Computer Science or a related field.

Preferred Qualifications:

• Hands-on experience building CI/CD pipelines from a user perspective (GitHub Workflows, GitLab pipelines, etc)

• Certifications from cloud service providers (AWS DevOps, GCP Devops Eng, etc)

• Natural curiosity or drive to learn about new or adjacent technologies.

• Experience applying AI/ML tools (GitHub Copilot, cloud AI services, LLM-based automations, anomaly detection tooling, etc.) to streamline DevOps and infrastructure workflows is a strong plus.

• Hands-on experience implementing AI-enhanced threat detection systems.

About us:

SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission:

The Head of AI will play a key role in driving the success of Smartcat’s mission to become the end-to-end Language AI platform for global enterprises. In this role, you will shape Smartcat's AI strategy, unlocking the potential of AI to create new, innovative use cases or reinvent existing user experiences, delivering measurable value to our enterprise clients in multilingual content generation, translation, and analysis.

Outcomes:

• Create, enhance, and maintain Smartcat’s AI strategy, solidifying our market position as the leading Language AI platform for enterprises
• Lead with a vision on the future of AI, anticipating where the industry is heading and how to create strong tech IP and defensibility in the areas that are aligned with the company strategy
• There are three high-impact areas to focus on over the next 12 months:
• Language AI Quality: Smartcat delivers distinctly higher quality in AI-generated translations and content for enterprise customers, thanks to continuous feedback from their employees, which helps improve AI output. Your goal will be to introduce a holistic approach to measuring language quality across various use cases for translation and multilingual content generation. You will aim to achieve consistent improvement in these metrics quarter over quarter for our enterprise customers, significantly reducing the required editing effort on their end. (We are already making progress in this area and have achieved measurable results, but there is still enormous potential for innovation and breakthroughs.)
  You will also lead the development of a systematic technological approach to AI quality customization, using use case-specific AI agents integrated with our platform and data layers.
• Redesigning Product Experiences: Working with the UI/UX and other product teams, you will redesign every existing product experience and use case with an AI-first approach, focusing on improvements in quality, turnaround time, and creating innovative user experiences.
• AI-Driven Customer Lifecycle: Smartcat has strong inbound and PLG/PLS motions, with thousands of new verified logos signing up on the platform every quarter. You will lead the creation of an AI-driven customer lifecycle product within the Smartcat platform, leveraging real-time data on each user’s intent and in-product actions to deliver best-in-class, customized onboarding and support experiences. This product will also tailor the overall UX and guide users through their next steps within the platform.
• You will continue building and managing a team of top AI/ML engineers, fostering a culture of innovation, urgency, and customer-centricity.

Requirements:

• 10+ years of experience as an Engineering and Product leader with at least 2+ years leading AI/ML unit for a tech company
• A deep understanding of the current state of ML and AI, along with a natural passion and curiosity to stay ahead of the rapidly evolving AI landscape and drive innovation within it.Experience creating and driving a strategic AI roadmap with the ability to inspire and align a team
• Strategic mindset with a proactive approach to identifying opportunities and challenges
• Ability to effectively present and communicate at the executive and board level
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others
• Strong preference to consider candidates who live on the East Coast, Boston or New York area, but will consider other areas for the right candidate. 
• Native-level fluency in English, both written and spoken

Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

• Location: Lisbon / Porto
• Benefits: Health insurance, gym membership, flexible hours, annual offsite, english training, free office snack, special discounts to charge your car
• Contract Type: Permanent
• Your Manager: Afonso Ramos, https://www.linkedin.com/in/afonsoqramos/ 

As a Performance Coordinator at Powerdot, you will identify opportunities, design levers, test hypotheses and turn insights into actions that grow energy volume and create value for users, partners and Powerdot.

This is a highly autonomous, commercial and analytical role. You will combine data, creativity and structured thinking to shape opportunities with our partners. You will collaborate closely with Pricing, Product, Operations and Local Markets, but you retain ownership over the opportunities and levers end to end. If you enjoy solving ambiguous problems, working directly with external stakeholders and designing repeatable playbooks that scale, this role is for you.

How You’ll Shape Our Story:

Build and own strategic relationships with external stakeholders

• Develop strong, trust-based relationships with partners across different industries.
• Understand partner needs, business models and incentives to unlock joint opportunities
• Act as the primary point of accountability for how each relationship contributes to Powerdot’s growth

Identify and execute growth levers

• Analyse performance, user behaviour and market signals
• Formulate hypotheses, design levers and run structured tests
• Deploy tactical and strategic initiatives with partners
• Measure results and iterate into repeatable playbooks

Drive commercial and operational execution

• Ensure partners have accurate data, correct configurations and a high-quality user experience
• Coordinate internally when partner initiatives require technical, pricing or product support
• Navigate day-to-day execution while keeping a long-term view on partnership potential

Build insight and structure

• Surface opportunities, blockers and learnings with clarity
• Contribute to category knowledge that strengthens Powerdot’s GTM engine
• Help structure ways of working, frameworks and execution templates

This Is About You, Not Us 🫵🏼:

Who you are:

• A structured thinker: You break problems into clear steps, form hypotheses and design tests that generate learning.
• An owner: You take responsibility for outcomes, not just tasks. You move initiatives forward proactively and independently.
• Commercially minded: You understand how partners, markets and users behave. You can articulate value and design win-win opportunities.
• Data-driven with good judgement: You can work with data, spot patterns and convert insights into concrete actions.
• A strong communicator: You can build trust with external partners and coordinate clearly with internal teams.
• Curious and resourceful: You enjoy exploring new categories, understanding unfamiliar business models and uncovering opportunities

What you need:

• –5 years of experience in a commercial, strategy, operations, consulting, partnerships, or analytical role
• Experience working with external partners or managing cross-functional initiatives is a plus
• Ability to work autonomously and handle multiple initiatives simultaneously
• Strong problem-solving and analytical skills
• Comfort with data tools (Sheets/Excel; SQL is a plus, not required)
• Excellent written and verbal communication skills
• Fluency in English; other European languages are a plus (French)

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 🏥 Private health insurance coverage
• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (this year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

Role Summary

As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.

Key Responsibilities

• Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
• Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
• Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
• Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
• Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
• Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
• Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
• Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
• Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
• Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
• Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.

Preferred Qualifications

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex GenAI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
• In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
• In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

Your Mission

As an IT Automation & Integration Engineer in the IT Systems & Services (ITSS) team, you will play a key role in driving scalable, secure, and intelligent automation across Catawiki’s internal systems. Your mission is to reduce manual work, enhance data and process consistency, and enable seamless cross-system experiences through well-designed, resilient integrations.
You’ll build smart, reusable automation workflows using both cloud-native infrastructure and modern Integration Platform as a Service (iPaaS) solutions, such as N8N. Working closely with stakeholders across IT, People, and Finance, you’ll translate business needs into system integrations that are efficient, secure, and built to scale.

This is a hands-on engineering role involving scripting (Python, Node.js), cloud orchestration, API integrations, Slack bot development, and the integration of AI capabilities using LLMs such as OpenAI.

What You’ll Do

• Design & Implement Automation Workflows: Develop and maintain automations across platforms like Okta, Jamf, Jira, Slack, HiBob, HubSpot, and Google Workspace using both custom code and iPaaS tools.
• Build and Manage System Integrations: Architect and deploy system integrations using REST APIs, Webhooks, and OpenAPI specifications, ensuring reliable and secure data flows across internal platforms.
• Automation Scripting (Python/Node.js) and iPaaS (N8N): Write robust automation scripts in Python and Node.js for complex logic. Use the N8N iPaaS platform to accelerate integration delivery, manage low-code/no-code connectors, and support event-driven workflows.
• Develop Slack Bots: Build scalable and secure Slack bots that connect to internal tools for automated actions, workflows, and notifications using Slack APIs.
• Use GCP for Backend Logic: Implement cloud-based automation with GCP services like Cloud Functions for processing, orchestration, and data handling.
• Infuse AI & LLM Capabilities: Incorporate AI-driven logic using OpenAI to enhance workflows, enable intelligent decision-making, and support natural language processing.
• Collaborate & Document: Translate business needs into technical requirements; maintain clear documentation of architecture, data mappings, automation workflows, and API logic.
• Monitor, Optimise & Secure: Monitor system health and workflow execution, troubleshoot integration issues, and enforce compliance with privacy and InfoSec standards.

What You’ll Bring

• Experience & Background
• 5+ years of experience in IT automation, system integration, or infrastructure engineering.
• Direct experience working with or managing iPaaS platforms such as Okta Workflow,  N8N, Workato, Tray.io, Boomi, Zapier, or MuleSoft. Preferably, direct experience producing production-grade automations in N8N.
• Technical Skills
• Proficient in Python and Node.js for automation and scripting.
• Proficient in using iPaaS, N8N, or any other iPaaS platforms for automations.
• Solid understanding of REST APIs, SOAP, Webhooks, OAuth2, JSON/XML.
• Familiarity with system integrations for tools like HiBob, Workday, Okta, Jamf, Google Workspace, Jira, and HubSpot.
• Cloud & Platform Knowledge
• Hands-on experience with Google Cloud Platform (Cloud Functions). Deep knowledge of Slack APIs and building internal bots for team workflows.
• AI Integration Awareness
• Experience or familiarity in integrating LLMs and AI services, including OpenAI, into automation pipelines.
• Operational & Interpersonal Strengths
• Strong analytical and debugging skills for complex, multi-system environments.
• Ability to design integrations with security, observability, and scalability in mind.
• Comfortable working cross-functionally with both technical and business teams.

Where You’ll Be 

This is a Hybrid role based in Lisbon, Portugal. You will work from our Lisbon Office at least 2 days per week.

In Return

You'll be part of an enthusiastic, highly motivated team of 850+ Catawikians.

• A competitive Annual Gross Base Salary depending on your level, competencies, and overall experience.
• Meal Allowance Card stipend per working day, in addition to salary.
• Health Insurance from day 1 (including dental coverage), with access to multiple hospitals and clinics and a vast wellness network.
• A Work From Home Allowance to help with your monthly household bills.
• Commuting between your home and our office is covered by Catawiki.
• Amazing Office right in the centre of Lisbon.

Your Mission

As an IT Automation & Integration Engineer in the IT Systems & Services (ITSS) team, you will play a key role in driving scalable, secure, and intelligent automation across Catawiki’s internal systems. Your mission is to reduce manual work, enhance data and process consistency, and enable seamless cross-system experiences through well-designed, resilient integrations.
You’ll build smart, reusable automation workflows using both cloud-native infrastructure and modern Integration Platform as a Service (iPaaS) solutions, such as N8N. Working closely with stakeholders across IT, People, and Finance, you’ll translate business needs into system integrations that are efficient, secure, and built to scale.

This is a hands-on engineering role involving scripting (Python, Node.js), cloud orchestration, API integrations, Slack bot development, and the integration of AI capabilities using LLMs such as OpenAI.

What You’ll Do

• Design & Implement Automation Workflows: Develop and maintain automations across platforms like Okta, Jamf, Jira, Slack, HiBob, HubSpot, and Google Workspace using both custom code and iPaaS tools.
• Build and Manage System Integrations: Architect and deploy system integrations using REST APIs, Webhooks, and OpenAPI specifications, ensuring reliable and secure data flows across internal platforms.
• Automation Scripting (Python/Node.js) and iPaaS (N8N): Write robust automation scripts in Python and Node.js for complex logic. Use the N8N iPaaS platform to accelerate integration delivery, manage low-code/no-code connectors, and support event-driven workflows.
• Develop Slack Bots: Build scalable and secure Slack bots that connect to internal tools for automated actions, workflows, and notifications using Slack APIs.
• Use GCP for Backend Logic: Implement cloud-based automation with GCP services like Cloud Functions for processing, orchestration, and data handling.
• Infuse AI & LLM Capabilities: Incorporate AI-driven logic using OpenAI to enhance workflows, enable intelligent decision-making, and support natural language processing.
• Collaborate & Document: Translate business needs into technical requirements; maintain clear documentation of architecture, data mappings, automation workflows, and API logic.
• Monitor, Optimise & Secure: Monitor system health and workflow execution, troubleshoot integration issues, and enforce compliance with privacy and InfoSec standards.

What You’ll Bring

• Experience & Background
• 5+ years of experience in IT automation, system integration, or infrastructure engineering.
• Direct experience working with or managing iPaaS platforms such as Okta Workflow,  N8N, Workato, Tray.io, Boomi, Zapier, or MuleSoft. Preferably, direct experience producing production-grade automations in N8N.
• Technical Skills
• Proficient in Python and Node.js for automation and scripting.
• Proficient in using iPaaS, N8N, or any other iPaaS platforms for automations.
• Solid understanding of REST APIs, SOAP, Webhooks, OAuth2, JSON/XML.
• Familiarity with system integrations for tools like HiBob, Workday, Okta, Jamf, Google Workspace, Jira, and HubSpot.
• Cloud & Platform Knowledge
• Hands-on experience with Google Cloud Platform (Cloud Functions). Deep knowledge of Slack APIs and building internal bots for team workflows.
• AI Integration Awareness
• Experience or familiarity in integrating LLMs and AI services, including OpenAI, into automation pipelines.
• Operational & Interpersonal Strengths
• Strong analytical and debugging skills for complex, multi-system environments.
• Ability to design integrations with security, observability, and scalability in mind.
• Comfortable working cross-functionally with both technical and business teams.

Where You’ll Be 

This is a Hybrid role based in Amsterdam, Netherlands. You will work from our Amsterdam HQ at least 2 days per week.

Role Summary

As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.

Key Responsibilities

• Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
• Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
• Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
• Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
• Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
• Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
• Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
• Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
• Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
• Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
• Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
• Ability to communicate complex technical concepts effectively to a variety of stakeholders.
• Strong passion for data and solving challenging real-world problems using algorithms.

Preferred Qualifications

• Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
• Exposure to Big Data platforms such as Spark.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex AI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
• In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
• In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

GoCardless are here to support you and we’re committed to making the hiring process inclusive and accessible for everyone. If you need any extra support or any adjustments made, please reach out to your Talent Partner.

Remember, we don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply

Platform Engineering at GoCardless

The Platform Engineering team is a unified, globally distributed team. We are currently located in London and Riga, and we are now expanding to our new hub in Lisbon. 

We work with all other engineering teams to empower them to build, release, run and scale their products.

We operate with a strong focus on both strategic project delivery and operational excellence. 

Our work is a balance of:

• Project Delivery: Building new platform components, from initial design to deployment.
• Operational Support: Ensuring the health and stability of our systems through on-call rotations and incident management.
• Business as Usual (BAU): Continuous maintenance, improvements, and support for audits and compliance.

Tech stack and tools:

• Python, Ruby, Golang;
• Terraform;
• Atlantis 
• AWS, GCP;
• Kubernetes, GKE;
• Github, GitHub Actions, ArgoCD;
• Grafana, Prometheus;
• Elastic

What excites you:

We use a wide range of technologies, and will never expect you to have experience with all of them. We do hope that you are enthusiastic about the infrastructure space and the impact your work can have on others. To enjoy this work you’ll be excited by:

• Building and maintaining automation of new and existing infrastructure;
• Appreciate and believe in building easy-to-understand and maintain tools to solve problems;
• Automating operational tasks to eliminate toil using your software development skills and experience;
• Ensuring that systems are safe and secure against cybersecurity threats;
• Working closely with software engineers and data scientists;
• Being involved in the technical design of architecture and making technical decisions;
• Cloud-first engineering;
• Ongoing opportunities to further develop your skills;
• Care about working with people who share the same values as you and who will continually push you to grow.

What excites us 

• Experience with at least one programming language such as Python, Ruby, Golang etc.;
• Experience with IaC tooling, such as Terraform;
• Previous experience with Terraform automation toolings such as Terragrunt or Atlantis will be considered an advantage;
• Experience with cloud computing providers such as AWS or GCP;
• Experience with containerized applications;
• Previous experience with container orchestration such as Kubernetes and GKE will be considered an advantage;
• Experience with CI/CD tooling such as Github, GitHub Actions, ArgoCD, etc.;
• Experience working with monitoring tooling such as Grafana, Prometheus, Zabbix etc.;
• Experience with relational databases and other datastores, especially around high availability and performance optimisation;
• Awareness of DevOps and Agile principles;
• Fluency in English;
• Excellent teamwork and communication skills.

Base salary range: the expected base salary range for this position is between €64,000 - €96,000.

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Platform Engineering at GoCardless

The Platform Engineering team is a unified, globally distributed team. We are currently located in London and Riga, and we are now expanding to our new hub in Lisbon. We work with all other engineering teams to empower them to build, release, run and scale their products.

We operate with a strong focus on both strategic project delivery and operational excellence. Our work is a balance of:

• Project Delivery: Building new platform components, from initial design to deployment.
• Operational Support: Ensuring the health and stability of our systems through on-call rotations and incident management.
• Business as Usual (BAU): Continuous maintenance, improvements, and support for audits and compliance.

Our stack includes: Golang, Python, Ruby, Terraform, Atlantis, AWS, GCP, Kubernetes, GKE, Github, GitHub Actions, ArgoCD, Grafana, Prometheus and Elastic.

The role

Foundations group is searching for an engineer with a strong interest in infrastructure management and the site reliability engineering problem space. You will be a member of a distributed team working with all other engineering teams - from product to data - to help build and scale the global platform our payments and open banking products sit on.

If you enjoy hard challenges, value learning and want to create an impact, then this is a place for you.

What excites you 

We use a wide range of technologies, and will never expect you to have experience with all of them. We do hope that you are enthusiastic about the infrastructure space and the impact your work can have on others. To enjoy this work you’ll be excited by:

• Building and maintaining automation of new and existing infrastructure;
• Appreciate and believe in building easy-to-understand and maintain tools to solve problems;
• Automating operational tasks to eliminate toil using your software development skills and experience;
• Ensuring that systems are safe and secure against cybersecurity threats;
• Working closely with software engineers and data scientists;
• Being involved in the technical design of architecture and making technical decisions;
• Cloud-first engineering;
• Ongoing opportunities to further develop your skills;
• Care about working with people who share the same values as you and who will continually push you to grow.

What excites us  

• Experience with at least one programming language such as Python, Ruby, Golang etc.;
• Experience with IaC tooling, such as Terraform;
• Previous experience with Terraform automation toolings such as Terragrunt or Atlantis will be considered an advantage;
• Experience with cloud computing providers such as AWS or GCP;
• Experience with containerized applications;
• Previous experience with container orchestration such as Kubernetes and GKE will be considered an advantage;
• Experience with CI/CD tooling such as Github, GitHub Actions, ArgoCD, etc.;
• Experience working with monitoring tooling such as Grafana, Prometheus, Zabbix etc.;
• Previous experience with centralised log management through Elastic tooling will be considered an advantage;
• Experience with relational databases and other datastores, especially around high availability and performance optimisation;
• Awareness of DevOps and Agile principles;
• Fluency in English;
• Excellent teamwork and communication skills.

Salary range: the expected base salary range for this position is between €42,400 - €63,600 (gross).

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path