The Regional People Partnering and Workplace Experience Manager plays a key operational leadership role in delivering integrated, high-quality people partnering and workplace experience support across the region.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

Reporting to the Head of Regional People Partnering and Workplace Experience, this role leads a multi-disciplinary team—including Regional People Partners (and, where applicable, People Advisors), as well as Workplace Experience Managers and/or Specialists—ensuring coordinated, consistent execution of strategic and operational priorities at the country level.

This role focuses on steering and enabling these teams to deliver outcomes, rather than handling all activities directly. By acting as the bridge between strategic direction and on-the-ground execution, the Manager ensures that people programs and workplace services are effectively delivered, culturally aligned, and continuously improved.

• Lead a multi-country, multi-disciplinary team. Directly manage Regional People Partners, People Advisors (where applicable), and Workplace Experience Managers/Specialists across the region — setting priorities, allocating work, coaching, developing careers, and driving accountability across both streams.
• Own people programme delivery across the region. Oversee execution of performance management, engagement, compensation review, talent development, and ER through the People Partnering team; act as senior escalation point for complex cases, labour relations, and business-critical people issues.
• Act as primary HR lead at country level. Steer day-to-day HR operations, ensure compliance with local labour law and global People guidelines, monitor policy implementation and programme adoption, and use people data to influence local and regional decisions.
• Direct workplace experience and office operations. Partner with the Head of Global Workplace Experience to oversee vendor management, H&S compliance, service standards, supplies, and budget — ensuring offices run consistently, safely, and cost-effectively across the region.
• Deliver cultural and operational experiences. Guide local Summits, holiday events, and company-wide cultural moments aligned to global standards; coordinate space planning, hybrid work, and infrastructure with Site Leads, Real Estate, Finance, and IT through your team.
• Bridge strategy and execution as the regional feedback loop. Translate global and regional direction into unified local action plans, surface country-level risks and insights to senior leadership, monitor KPIs across people and workplace, and feed into workforce planning, headcount forecasting, and budget.

• Multi-country HR ownership, an experienced people and operations leader with strong managerial capabilities across multi-country, cross-functional teams. — not exposure, actual accountability across different legal frameworks and ER cases in Portugal (nice to have in Spain, Italy, Malta, Cyprus and Paraguay).
• Proven at managing through others. They get their results via their team leads, not by doing the work themselves. This has to be their natural mode.
• Skilled in balancing high-level coordination with practical enablement of subject-matter experts across HR and workplace functions.
• Recognized for building trust, driving clarity, and enabling others to succeed while holding high standards of delivery.
• A connector and integrator—energized by cross-functional leadership and continuous improvement of local employee experience.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

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

Salary range: the expected base salary range for this position is between €45,600 - €68,400.

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.

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

What You'll Do

• Testing of one or several Veeam products
• Participating in products’ creation and development at all stages of their life cycle
• Analysing software requirements
• Participating in planning and creating the product test strategy
• Communicating with other participants of the product development process
• Training and development of new team members
• Evaluating test results, maintaining defects database
• Participating in customer technical support processes

What You'll Bring 

• Technical education or passion for technology
• 3+ years of software testing experience
• Deep understanding of software development principles and the QA role in this process
• Experience developing test strategies and plans, analysing test progress, and optimising the software testing processes
• Advanced knowledge of Windows, Linux or Unix operating systems
• Experience in network technologies and systems (DNS, DHCP, basic network settings, etc.)
• Open and flexible mind, common sense, clear logic, analytical skills
• Desire and ability to work in a team
• English proficiency for daily communication within international teams

Bonus Skills

• Experience working with databases like Microsoft SQL Server or Oracle Database
• Experience working with virtualization platforms like VMware vSphere and Microsoft Hyper-V
• Experience in test automation
• Experience managing and developing a QA team

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote work is only possible in case the employee is located in Portugal.

#LI-KJ1

#Hybrid

About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. 

About the Role

We’re looking for a talented multi disciplinary Senior Data Platform Engineer with passion for infrastructure, who will be responsible for the performance, scale, and stability of our core data platform products. We are a data-driven organization, ingesting data at high rates, with demands increasing each day.

As a Senior Data Platform Engineer, you will be part of the Data Platform group and will be responsible for a large scale production data platform that serves as the core infrastructure of our products. You'll develop self-service tools that support the accessibility of our platform for the use of our users from R&D and Analytics departments. We will look to you to be a center of knowledge, consult, and share your expertise with others.

What You'll Be Doing

• Lead the development of AI-ready data platform foundations, including data quality, contracts, observability, and self-service tooling that power machine learning and AI-driven products.
• Administrate, provision and monitor our different platform products.
• Develop, maintain and enhance the Applicational infrastructure that is working tightly with our Data Platform infrastructure tools.
• Guide development teams and mentor other team members.
• Use your creativity to resolve complex and high scale data related issues
• Research new technologies, starting from POC level to production grade systems.

Qualifications

• 6+ years prior experience as a Data Platform Engineer / Big Data Infrastructure engineer or equivalent.
• Deep understanding of distributed systems, in terms of ingestion, storage and access.
• Hands-on experience with Data Streaming technologies: Apache Kafka / Apache Pulsar / Spark Streaming / Kstream / Apache Flink 
• B.Sc. in Computer Science (or equivalent)
• Experience working on high scale, production-grade projects

Advantage

• Experience with tools like Apache Spark and Databricks.
• Experience with the Cloud Native stack( Kubernetes / Prometheus/Istio etc.)
• Experience with a cloud provider (AWS, Google etc.)
• Experience with Infrastructure tools (Helm, Ansible, Terraform etc.) 
• Experience with Scala

Life at Riskified

We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking.

We’re looking for bright, driven, and passionate people to grow with us.

Some of our Lisbon Benefits & Perks:

• Hybrid mode of work
• Flexible schedule
• Recharge weekends
• Healthcare & dental benefits
• Fully-stocked kitchens
• Commuter benefits
• Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.
• Wellness program
• Celebrations and activities
• Team events
• Happy hours
• Awesome Riskified gifts and swags
• Volunteer programs
• Personal development
• Global onboarding
• Role-based technical skills training
• Full access to Udemy

In the News

C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously

Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology

Globes: Riskified is among Israel’s fastest growing companies  

Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

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.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (EEA, UK, and Switzerland).

The annual base salary range for this position is displayed below. Individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Annual Base Compensation
€63.000 - €79.000 EUR

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.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). 

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.

Upwork’s Marketing Analytics team is focused on optimizing our growth engines through rigorous experimentation and data-driven decision making. This role sits at the intersection of product and marketing, driving measurement and experimentation across the customer funnel to improve acquisition, engagement, and conversion. You will partner cross-functionally with product, marketing, SEO, and data science teams to design experiments, analyze user behavior, and build frameworks that inform growth strategy. This role also supports understanding organic discovery, including traditional search and emerging AI-driven discovery surfaces.

Your Responsibilities:

• Organic & AI Discovery Analytics: Support analysis of organic channels, including SEO and emerging AI-driven discovery (e.g., ChatGPT, Gemini). Evaluate performance signals such as engagement, traffic, and visibility.
• Strategic Communication: Present insights and recommendations to marketing leadership, influencing growth strategy and prioritization.
• Experimentation & Testing: Design, execute, and analyze A/B and incrementality tests. Define hypotheses, success metrics, and test duration, and conduct deep post-test analysis to inform decisions.
• Drive insights that improve conversion, engagement, and overall growth.
• Data Extraction & Technical Analysis: Extract and analyze large datasets using SQL, Python, or R to support experimentation, user behavior analysis, and growth initiatives.
• Experimentation Tooling: Utilize platforms such as Statsig, Optimizely, VWO, or similar tools to implement and monitor experiments across experiences.
• SEO Tooling: Leverage tools such as Google Search Console, SEMrush, Ahrefs, or similar to explore keyword performance and on-site engagement trends.

What it takes to catch our eye:

• A degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience designing and executing experiments (A/B, multivariate, incrementality), including hypothesis development, metric definition, sample sizing, and post-test analysis.
• Experience in marketing or growth analytics, with a strong focus on customer funnels, acquisition, and conversion optimization. Experience with organic search and SEO analytics.
• Technical Proficiency: Strong SQL skills and proficiency in Python or R for analyzing large datasets and supporting experimentation and analytics workflows.
• Experimentation Tools: Experience with platforms such as Statsig, Optimizely, VWO, or similar tools used to run and monitor experiments.
• BI tools such as Looker or Tableau. (SEO-specific tools are a plus, e.g., Google Search Console, SEMrush, Ahrefs, Botify, Screaming Frog)
• Testing & Statistical Knowledge: Strong foundation in experimental design, statistical significance, and methods to measure incremental impact.
• Marketplace Context: Previous experience in a two-sided marketplace or consumer tech environment will be highly regarded.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

Arcesium seeks a Product Manager to support the execution and continued evolution of UBOR (Arcesium’s Investment & Portfolio Accounting product), one of the most business-critical components of our SaaS platform.
This role sits at the intersection of product delivery, client engagement, and commercial alignment. You will work closely with Engineering, Client & Partner Development, Sales, and Marketing to ensure the UBOR product roadmap is effectively executed and clearly communicated. You will also contribute to enhancing product capabilities through hands-on prototyping and practical application of AI-enabled tools.

What You'll Do

• Support the execution of the UBOR product roadmap, ensuring alignment between strategic priorities, client needs, and delivery timelines.
• Translate product vision into detailed requirements and specifications, working with stakeholders to gather inputs and communicate direction.
• Balance customer requests with longer-term product objectives.
• Partner with Engineering, QA, and Subject Matter Experts to translate specifications into effective design and delivery.
• Collaborate with Sales and Marketing to ensure product capabilities are clearly positioned and communicated.
• Represent UBOR in client meetings as appropriate to present roadmap updates, collect feedback, and ensure alignment.
• Contribute to business case development for product enhancements and R&D investments.
• Rapidly prototype workflows, user experiences, reporting logic, or automation concepts using AI-assisted coding and modern development tools.
• Validate product ideas through lightweight prototypes or proof-of-concepts before committing full engineering resources.

What You'll Need

• 3–6 years of product management experience, preferably within SaaS platforms serving asset managers or related financial services sectors.
• Bachelor’s degree in accounting, finance, engineering, computer science, or a related field preferred.
• Experience building or supporting financial technology products.
• Foundational domain knowledge in hedge funds, private credit, private equity, institutional asset management, or related sectors.
• Hands-on experience with investment accounting (IBOR or ABOR preferred).
• Demonstrated experience across the product lifecycle, including requirements analysis, planning, delivery support, and post-release feedback.
• Hands-on experience using generative AI tools to build functional prototypes or proof-of-concepts.
• Comfort with lightweight scripting, SQL, APIs, or no-code/low-code tools to independently prototype workflows and validate ideas.

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.

What You'll Do

• Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
• Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
• Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
• Participate in root cause analysis of performance issues reported by Technical Support and customers
• Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams

What You'll Bring

• Technical education or a strong, hands‑on passion for systems and performance
• 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
• Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
• Solid knowledge of Windows and/or Linux at an advanced user or system administration level
• Good understanding of system internals: CPU, memory, storage, networking
• Strong analytical mindset, attention to detail, and structured thinking
• Motivation to grow as a performance and scalability engineer
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
• Scripting, test automation, or infrastructure deployment experience
• Understanding of virtualization platforms and large virtual environments
• Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
• Experience with Python
• Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-YS1

#Hybrid

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English 
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

What You’ll Get 

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal card with €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside of Portugal. Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in Portugal.

#LI-AP1

About the Opportunity

You will have the opportunity to develop the experience of planning and operationalize daily schedules, in order to accomplish the targets. Work in a different and growing innovative environment that mixes healthcare with AI in a market in expansion. Develop experience of working with a multicultural team local and remote.

Responsibilities

• Analyze outputs generated by artificial intelligence from Coronary CTA exams.
• Evaluate Coronary CTA exams for image quality.
• Perform administrative duties as required.
• Participation in continuous improvement projects
• Comply with process and quality standards.

Requirements

• Medical imaging and radiotherapy university Degree
• Availability to work different shifts
• High attention to detail
• Great interpersonal skills - must be able to work well in a team environment
• Desire and ability to learn new technologies - willing to learn
• Coronary CTA or 3D post-processing experience is a plus 

Salary:

€1460.00 (monthly)

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

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

Base salary range: €32,000 - €48,000 

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.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Domo, Tableau, Python, Looker, Google Cloud Platform, dbt, Airflow, Supermetrics & Demandbase amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless, we excel in experimentation to optimise user acquisition, activation, and retention through continuous discovery and data-driven decision making. As a Growth Analyst, you will partner across Growth, Commercial Strategy, and the wider Data & Business Systems team to design and deliver analytics that shape our self-serve business. You will be instrumental in evaluating performance across the full funnel — from acquisition to monetisation — and in generating insights that influence strategic decisions. 

What excites you 

• Shape commercial measurement across the funnel, collaborating with Growth Marketing, Sales, Commercial Finance and Product to track and evaluate how our acquisition, activation, and monetisation initiatives drive incremental customer and revenue growth.
• You will translate complex data into clear, actionable recommendations that inform go-to-market strategy, pricing, and self-serve optimisation
• Be responsible for defining how we understand return on investment & growth across growth initiatives 
• Proactively identify the biggest growth opportunities in our key channels by delivering deep analysis into customer segments, lifetime values (LTVs), diminishing returns etc and helping the team to prioritise and implement.
• Applying quantitative analysis, generate actionable insights and drive the adoption of your proposed changes in marketing by influencing stakeholders
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Amplitude), Automation (Python), AI (Gemini, Claude)

What excites us  

• You bring strong analytical skills with experience linking data to revenue outcomes — whether through funnel analysis, cohort performance, pricing impact, or channel economics.
• You can distil complex analysis into clear recommendations for commercial and non-technical stakeholders, influencing strategy across Growth, Marketing, and Product.
• You have a bias for experimentation and discovery, always seeking ways to uncover new opportunities to improve acquisition, activation, retention, and monetisation.
• You have a background working in similar commercial analytics roles and have a deep understanding of the domain & and are very knowledgeable of growth strategies
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the commercial strategy
• You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design
• You have extensive experience with data visualisation tools mentioned above and demonstrate storytelling ability with data in order to influence decision making and growth understanding
• You have advanced SQL skills and intermediate Python/R skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

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

Base salary range: €41,600 - €62,400

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.

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 

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 

About the Role
We are seeking a highly organized and proactive CRM Project Manager to join our growing CRM department. This role supports a Senior CRM Project Manager and plays a key part in driving structure, operational excellence, and cross-team alignment within a fast-paced iGaming environment. You will oversee CRM-related projects end-to-end, ensure process clarity, maintain smooth communication flows, and help the team execute efficiently. This position is ideal for someone who thrives in dynamic environments, takes ownership, and is eager to influence operational improvements.

Locations:

This position will require relocation to Lisbon, Portugal.

Job Type:
Office, on-site

Responsibilities
 • Support full-cycle management of CRM projects, including planning, execution, monitoring, and delivery.
 • Maintain and improve existing operational processes and contribute to creating new ones to increase team efficiency.
 • Manage task tracking, Jira boards, workflows, priorities, and SLAs.
 • Coordinate cross-functional collaboration between CRM, Marketing, R&D, Analytics, Security, and other departments.
 • Lead meetings, gather requirements, document key decisions, and ensure follow-up actions are clearly defined.
 • Prepare and maintain project documentation, onboarding materials, process guidelines, and knowledge bases in Confluence.
 • Collect, analyze, and structure information for decision-making and project reporting.
 • Support onboarding of new team members and contribute to team training materials.
 • Assist in preparing reports, presentations, and structured summaries for management and stakeholders.
 • Contribute to building organizational clarity by reducing project fragmentation, improving prioritization, and ensuring alignment between management goals and execution.
 • Troubleshoot operational bottlenecks and proactively resolve issues before they escalate.

Qualifications
 • Proven experience as a Project Manager within digital, CRM, marketing, or tech-driven environments; experience in iGaming is a strong advantage.
 • Proficiency in Agile methodologies including Scrum and Kanban.
 • Strong experience with operational and project management tools (Jira, Confluence, Slack, Miro, Google Workspace).
 • Ability to structure complex information, manage multiple workstreams, and maintain clarity in fast-paced environments.
 • Strong communication skills with experience working alongside cross-functional teams.
 • Ability to run meetings, document decisions, create action plans, and coordinate delivery.
 • Experience preparing documentation, onboarding materials, reports, and presentations.
 • Comfortable working in environments with high context switching and evolving priorities.
 • English proficiency at B2 level or higher.

Competencies
 • High ownership mentality and strong accountability.
 • Exceptional organizational and prioritization skills.
 • Detail-oriented mindset with the ability to dive deep into processes.
 • Proactive problem-solving and “fire-fighting” capabilities when managing critical issues.
 • Strong teamwork and stakeholder-management skills.
 • Ability to bring structure to chaotic environments and drive process improvements.
 • Strong initiative: ability to push projects forward and ensure execution clarity.