Job Description

About the role

The NPI Specialist acts as a subject matter expert who possesses a deep understanding and wide application of technical principles, theories, and concepts in their given field. The purpose of this role is to propose, design, prioritize, conduct, and oversee experiments and projects to support new product introductions and advanced material research, driving breakthroughs in product quality and business growth.

Key Responsibilities

The position operates under a hybrid/on-site status layout as required.

• Prioritize, conduct, and oversee experiments and projects.
• Conduct stage gate review meetings with key stakeholders.
• Liaise with Product Managers to identify key opportunities for the site.
• Present information, communicate findings, and make recommendations to cross-functional leaders.
• Generate new ideas for products and solutions and participate in new product development.

Qualifications

Required:

• Deep understanding and can widely apply technical principles, theories, and concepts in given fields.
• Demonstrated experience in R&D Testing, Experimental Design, and establishing technical proof of concepts.
• Proven ability to write project plans, determine timelines, and allocate resources for complex technical projects.

Skills you need to succeed:

• Strong analytical skills coupled with hands-on product development and product commercialization experience.
• Excellent verbal, written communication, and presentation skills to effectively convey recommendations to cross-functional leaders.

Additional Information

What we offer

Here’s a glimpse of the great benefits you can expect: - Health & Financial Security: Enjoy Health and Life Insurance, a Cash Health Plan, Pension, and a Bonus. Benefits include a subsidized canteen, access to a discount site, free parking, free electric charging points, and free annual flu vaccinations and visual eye test vouchers. - Time Off & Flexibility: Benefit from 25 vacation days, plus statutory bank holidays, Parental leave and family-friendly policies, and flexible working arrangements. - Well-being & Continuous Development: Access an Employee Assistance Program, our comprehensive Wellbeing Policy, and Development Discussions for career growth. Join our Active Sports & Social Club and enjoy annual summer and Christmas events. - Community Engagement: Opportunities to participate in volunteer activities to support Non-Profit Organizations.

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. Learn more at www.averydennison.com. At Avery Dennison, we work with the biggest brands in the FMCG, apparel, automotive, and pharma industries. Our Cramlington location, founded in 1969, is a collaborative and dynamic environment that supports our Materials Group - EMENA division and employs approximately 230 talented individuals. Key functions at this site include Manufacturing and Operations, Quality, Enterprise Lean Sigma, Maintenance, Research and Development, HR, Finance, Marketing, Customer Service, EHS and IT, offering diverse career paths and opportunities for growth.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. If you are unable to use our online application process due to a disability, please contact us to request an accommodation at [email protected]. In the EMEA region, we foster an inclusive culture through active Employee Resource Groups (ERGs) like Elevate, Unite, and our Mental Health group. Please visit our DE&I page to learn more about our Diversity, Equity & Inclusion approach.

Pay Transparency Statement

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Job Description

About the role

The NPI Specialist acts as a subject matter expert who possesses a deep understanding and wide application of technical principles, theories, and concepts in their given field. The purpose of this role is to propose, design, prioritize, conduct, and oversee experiments and projects to support new product introductions and advanced material research, driving breakthroughs in product quality and business growth.

Key Responsibilities

The position operates under a hybrid/on-site status layout as required.

• Prioritize, conduct, and oversee experiments and projects.
• Conduct stage gate review meetings with key stakeholders.
• Liaise with Product Managers to identify key opportunities for the site.
• Present information, communicate findings, and make recommendations to cross-functional leaders.
• Generate new ideas for products and solutions and participate in new product development.

Qualifications

Required:

• Deep understanding and can widely apply technical principles, theories, and concepts in given fields.
• Demonstrated experience in R&D Testing, Experimental Design, and establishing technical proof of concepts.
• Proven ability to write project plans, determine timelines, and allocate resources for complex technical projects.

Skills you need to succeed:

• Strong analytical skills coupled with hands-on product development and product commercialization experience.
• Excellent verbal, written communication, and presentation skills to effectively convey recommendations to cross-functional leaders.

Additional Information

What we offer

Here’s a glimpse of the great benefits you can expect: - Health & Financial Security: Enjoy Health and Life Insurance, a Cash Health Plan, Pension, and a Bonus. Benefits include a subsidized canteen, access to a discount site, free parking, free electric charging points, and free annual flu vaccinations and visual eye test vouchers. - Time Off & Flexibility: Benefit from 25 vacation days, plus statutory bank holidays, Parental leave and family-friendly policies, and flexible working arrangements. - Well-being & Continuous Development: Access an Employee Assistance Program, our comprehensive Wellbeing Policy, and Development Discussions for career growth. Join our Active Sports & Social Club and enjoy annual summer and Christmas events. - Community Engagement: Opportunities to participate in volunteer activities to support Non-Profit Organizations.

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. Learn more at www.averydennison.com. At Avery Dennison, we work with the biggest brands in the FMCG, apparel, automotive, and pharma industries. Our Cramlington location, founded in 1969, is a collaborative and dynamic environment that supports our Materials Group - EMENA division and employs approximately 230 talented individuals. Key functions at this site include Manufacturing and Operations, Quality, Enterprise Lean Sigma, Maintenance, Research and Development, HR, Finance, Marketing, Customer Service, EHS and IT, offering diverse career paths and opportunities for growth.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. If you are unable to use our online application process due to a disability, please contact us to request an accommodation at [email protected]. In the EMEA region, we foster an inclusive culture through active Employee Resource Groups (ERGs) like Elevate, Unite, and our Mental Health group. Please visit our DE&I page to learn more about our Diversity, Equity & Inclusion approach.

Pay Transparency Statement

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.

Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:

World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.

Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.

Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.

Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.

Key Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

What You’ll Bring

Must-haves:

• 3+ years of experience developing and deploying ML systems in real-world or production settings

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field

• Deep expertise in one or more core Embodied AI areas, such as:

  • Foundation models (e.g., transformers, MoE, large-scale training)
  • Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
  • Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
  • Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)

• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

• Strong programming skills in Python, with experience using frameworks such as PyTorch

• A data-centric mindset, with experience working on large-scale datasets and evaluation

• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.

Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:

World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.

Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.

Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.

Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.

Key Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

What You’ll Bring

Must-haves:

• 3+ years of experience developing and deploying ML systems in real-world or production settings

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field

• Deep expertise in one or more core Embodied AI areas, such as:

  • Foundation models (e.g., transformers, MoE, large-scale training)
  • Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
  • Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
  • Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)

• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

• Strong programming skills in Python, with experience using frameworks such as PyTorch

• A data-centric mindset, with experience working on large-scale datasets and evaluation

• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in Vancouver. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for Applied Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.

Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:

World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.

Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.

Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.

Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors.

Key Responsibilities

• Develop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulation
• Advance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic data
• Develop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.
• Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.
• Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transfer
• Define and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performance

What You’ll Bring

Must-haves:

• 3+ years of experience developing and deploying ML systems in real-world or production settings

• PhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related field

• Deep expertise in one or more core Embodied AI areas, such as:

  • Foundation models (e.g., transformers, MoE, large-scale training)
  • Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)
  • Reinforcement learning (e.g., offline RL, RLHF, reward modeling)
  • Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)

• Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)

• Strong programming skills in Python, with experience using frameworks such as PyTorch

• A data-centric mindset, with experience working on large-scale datasets and evaluation

• Strong problem-solving ability and the ability to collaborate effectively in interdisciplinary teams

Nice-to-haves:

• Experience in autonomous driving, robotics, or simulation systems
• Familiarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)
• Experience with sim-to-real transfer or data-efficient learning
• Contributions to open-source ML tools or research infrastructure

What we offer you

• Attractive compensation with salary and equity
• Immersion in a team of world-class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomy and tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your time
• Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!

This is a full-time role based in our office in London.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Arvinas is a clinical-stage biotechnology company dedicated to improving the lives of patients suffering from debilitating and life-threatening diseases through the discovery, development, and commercialization of therapies that degrade disease-causing...

Highlights

• Base Salary: €3,300 - €4,300 gross
• Location: Spain Remote
• Stock options
• Languages: Fluent in Russian and English

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9⁄5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

The Team

We are a distributed team of 160+ product professionals. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset.

About the role

Fundraise Up is building high-trust donation and fundraising experiences that help nonprofits grow their impact. We’re looking for a UX Researcher to join our Product Research Team and raise the quality, speed, and decision-making power of research across the product.

This role combines classic UX research and Product Discovery: new markets, segments, and product opportunities. You will work across both B2C and B2B contexts: donor-facing experiences (B2C) and nonprofit/org-facing workflows (B2B).

What You’ll Do

• Take a research initiative from the quarterly plan and run it end-to-end: intake brief → write methodology → conduct research → analyse → synthesize → present → push actions.
• Choose the right method: interviews, usability tests, concept tests, surveys, desk research, competitive scans or others — based on uncertainty level, business goals, and timeline.
• Set up the mechanics: access to tools/data, participant scheduling and confirmations, session logistics, note-taking, recording, and documentation — no hand-holding.
• Be the cross-team “glue”: proactively collect hypotheses and context from Sales, Customer Success, Support, Marketing, Analytics, and turn them into testable research questions.
• Stay close to product analytics: monitor dashboards and reports, work with analysts to spot anomalies/drop-offs, form hypotheses, and prioritize what to validate with research.
• Produce outputs people can use immediately: key findings, decisions, trade-offs, risks, and clear recommendations, with supporting evidence (quotes, clips, metrics).
• Keep an internal pulse: regularly review existing research, past studies, competitor insights, and synthesize what’s already known before running something new.
• Be the user best friend: ensure user needs and constraints are represented in product decisions – not just opinions.

Requirements

• Proven experience running research end-to-end with high ownership.
• Strong methodological toolkit and judgment: you can pick the right method for the question, given business goals, timelines, and uncertainty, and explain trade-offs clearly.
• Experience working across both B2C and B2B products and audiences.
• Fluent English — all participants are English-speaking; you moderate and present in English.
• Can work with analytics: read dashboards, spot anomalies/drop-offs, form hypotheses, and validate them via research; PostHog/Tableau is a plus.
• Regularly collect input from Sales, CS, Support, Marketing, Analytics and turn it into testable research questions.
• High research quality bar: structured methodology, and ethical practice.
• Use recruiting platforms and handle logistics yourself: access, scheduling, confirmations, tool setup, etc.
• Use AI tools to speed up ops and synthesis (guides, notes, tagging/themes, survey drafts, summaries) while keeping human judgment and methodological rigor where it matters.
• You don’t need to be a marketer, but you should understand core terms and how they affect research and insights.
• Be the team’s source of new knowledge: run a “research radar” across internal learnings, market/competitor moves, and high-signal UX/product sources, then share regular updates so the team stays current and avoids blind spots.
• Bring exceptional empathy and care for people: our users are nonprofits and donors—people doing good in the world—so you approach participants with respect, sensitivity, and high ethical standards.

Strong plus

• NN/g certifications.
• Academic/scientific research background (graduate/PhD track).
• PostHog / Tableau (or similar analytics tools).
• Productboard (or other insights repository tools).
• Mentoring/teaching (workshops, onboarding, sharing research craft).

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
• 23 paid vacation days per year
• 11+ 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.

**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 are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.

Are you interested in joining an organization with a global reach? In a world of shifting threats, Concentric is your trusted ally. Powered by elite professionals from military, government, and intelligence backgrounds. If you are passionate about intelligence, risk analysis, threat management, executive protection, security operations, or business resiliency, Concentric may be the organization you’ve been searching for!

Concentric is a risk consultancy specializing in delivering strategic security and intelligence services. We provide holistic, intelligent security solutions for private clients and corporations globally. Concentric offers strategic advisory services, risk assessments, physical protection, threat intelligence, open-source monitoring, program audits, secure embedded staffing, and training for security teams and intelligence analysts.

Our ultimate goal is to be recognized as the most innovative, capable, and trusted Risk Management partner in the world, and we do this by following these core values:

Integrity – Collaboration - Relationships – Excellence – Creativity - Results

Join Us,

Concentric - “Your World Secured”

We are currently looking to hire an Intelligence Collection Specialist to join our Corporate Team in Hereford, England, United Kingdom.

*This position allows for remote work arrangements from the United Kingdom only.

*This is a full-time position consisting of a 40-hour work week. Shift work. Some - Weekends and holidays required.

This role will also be required to rotate shifts every two months in accordance with the roster.

This cadence and shift pattern is subject to change based on operational needs.

Your normal shift pattern will be four ten-hour shifts on, followed by three days off.

JOB DESCRIPTION

This position requires the Specialist to use intelligence sources, internal and external assets, and open-source media to identify threats and provide timely and accurate information to Concentric clients. The Specialist will identify and monitor viable hazards to employees, operations, global assets, and the brand, reporting these threats to clients, 24⁄7.

The Intelligence Collection Specialist will bring strong analytical skills, familiarity with open-source intelligence (OSINT) tools, and the ability to synthesize complex data into clear and effective intelligence products. They will demonstrate intellectual curiosity, technical fluency, and a commitment to proactive threat detection that informs decision-making and protects people, assets, and operations worldwide.

RESPONSIBILITIES

Intelligence Collection and Threat Monitoring

• Conduct continuous collection and review of open source information utilizing multiple systems and sources to detect potential threats.
• Actively monitor travel safety and security of clients on a global, 24⁄7 basis.
• Continuously monitor global open-source intelligence (OSINT), media channels, and specialized threat feeds to detect and assess real-time and emerging threats.
• Identify and track geopolitical, environmental, criminal, cyber, health-related, or infrastructure risks that could affect client safety or business continuity.
• Act as a primary node for threat-related communications, offering rapid situation awareness and actionable intelligence to stakeholders.
• Communicate clearly and effectively in writing and verbally with internal and external stakeholders about relevant intelligence and threat information.

Intelligence Analysis and Report

• Analyze multi-source data to assess implications of threats on client operations, travel, and reputational standing.
• Produce timely, accurate, and concise threat alerts tailored to client needs.
• Develop and refine methodologies and tools for intelligence collection, fusion, and dissemination.

Research Support

• Support internal and client-facing investigations by compiling and assessing relevant intelligence from internal and external sources.
• Leverage structured analytic techniques to identify trends, forecast potential risks, and recommend mitigation strategies.
• Use OSINT sources and investigative databases to complete investigations on persons or companies of interest.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in criminal justice, international security, political science, or a related field.
• Must be able to legally work in the country where this position is located without visa sponsorship.

PREFERRED QUALIFICATIONS

• Preferred 2 years of demonstrated experience doing the following:
  • Military service or prior experience working in a GSOC
  • Effective assessment and evaluation of sensitive situations
  • Quickly and accurately identify and respond to critical issues
  • Research, investigate, compile, and assess information
  • Demonstrate planning and organizational skills
  • Skilled in synthesizing facts, concepts, and principles
  • Customer service mindset

COMPENSATION & BENEFITS

• 20 Vacation Days plus Bank Holidays (8)

• Personal Accident Insurance

• Employee Assistance Program for personal needs

• Enrollment into the pension scheme to which SPS contributes 3% of your salary

• Credentity Protection - Eclipse Digital Protection by Concentric

• Dedicated Security and Intelligence Training Programs for Professional Development

• Coaching and Mentoring Opportunities

Hereford, United Kingdom Pay Range

£29,120—£29,120 GBP

Concentric and SPS Global acknowledge the systemic barriers in the security industry and recognize that removing those barriers will require a collaborative and conscious effort. Concentric and SPS Global are committed to programs and initiatives that promote diversity, equity, and inclusion, enhancing our organization and the broader community. We are creating a diverse environment and are proud to be an equal opportunity employer. We encourage people from all backgrounds to apply. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Concentric Advisors and SPS Global are committed to protecting the privacy and security of all applicants who submit personal information to us. You can access our GDPR and CCPA policy by clicking the GDPR button at the bottom of our career page.