PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex real-world scenarios, evaluating model outputs for accuracy and regulatory alignment, and providing targeted feedback to improve performance across domains like compliance, litigation, case law, and contract analysis.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Education: JD, LLM, or currently enrolled in a prestigious 2L/3L program. 
• Certifications: Bar admission in any jurisdiction strongly preferred.
• Professional Background: Experience as Attorney/Associate, Legal Analyst, Counsel, Law Clerk, In-House Counsel, Legal Researcher, or Law Professor. 
• Skills: Demonstrated expertise in legal research, analysis of regulatory frameworks, constitutional law, case law interpretation, and drafting legal briefs.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Why Join the HFC?

• Advance Legal AI Solutions: Apply your legal expertise to address complex, real-world challenges where your judgment shapes advanced AI reasoning and supports critical legal decision-making.
• Professional Development: High-impact legal experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, sharpening legal analysis skills, and gaining practical experience with innovative AI tools for the legal field.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Complete a Challenge: Selected candidates will undertake a brief task designed to reflect HFC work and evaluate their domain expertise.
3. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
4. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We’re looking for an experienced recruiter to join our Talent Acquisition team and help drive hiring for quantitative research and trading roles across Europe. This role plays a key part in supporting QRT’s continued growth by securing top-tier talent and reinforcing our local presence.

Your Future Role at QRT
• Drive and execute QRT’s recruitment strategy to attract, hire, and retain high calibre quant research and trading talent for our European offices
• Leverage your existing network across Europe and proactively source candidates through direct outreach, talent mapping, and referrals
• Collaborate with trusted external recruitment partners and agencies to ensure consistent pipeline flow and meet headcount targets
• Own and manage the full recruitment lifecycle via our ATS (Greenhouse), ensuring a high-touch, seamless candidate experience at every stage
• Bring hiring intelligence and market insights to the table - tracking trends, benchmarking competitors, and advising stakeholders

Your present skillset
• 5+ years of experience recruiting in quantitative finance, trading, or investment roles – either in-house or at a leading search firm
• A strong, active network of talent across Europe, and a proven ability to build and sustain candidate relationships over time
• Track record of successful collaboration with external agencies 
• Proficiency with recruiting tools and platforms, especially Greenhouse and LinkedIn
• Data-driven mindset, you use metrics, hiring funnel data, and market benchmarks to inform decisions
• Excellent written and verbal communication skills in English
• Organized, resourceful, you are able to juggle multiple searches with speed and precision
• Self-starter and curious, you like working in a fast-paced, high-performance environment

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

About the Role

The Staff Qualitative Researcher is Superbet's most senior practitioner of human-centred inquiry. This is a hands-on, high-output IC role. You are the person who knows how to get to the truth of a user's experience: their mental models, their anxieties, their unspoken expectations, their moments of delight and frustration.

You will lead qualitative research across the most strategically important and ambiguous product questions Superbet faces - from understanding how new markets experience sports for the first time, to uncovering the emotional dynamics of live in-play gambling, to defining what responsible gaming actually feels like from a user's perspective. You will work closely with the Principal Quant Researcher and the Research Manager to ensure qualitative and quantitative evidence are always richer together than apart.

You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them. 

What You Will Own

Deep Qualitative Research Execution

• Design and independently execute complex, multi-method qualitative research programmes spanning generative discovery, concept exploration, and evaluative depth - not just individual studies but longitudinal programmes of inquiry.
• Lead the most high-stakes and ambiguous research briefs: new market entry, new product category launches, trust and safety research, responsible gambling insights, and strategic bets where the organisation has the least existing evidence.
• Operate the full qualitative toolkit with mastery: semi-structured and unstructured in-depth interviews, contextual inquiry and ethnographic observation, diary studies and longitudinal panels, participatory design workshops, focus groups, co-creation sessions, and remote moderated/unmoderated studies.
• You have deep expertise in mental models, perception, jobs to be done and combining them to paint a rich psychological and workflow design. 
• Own recruitment strategy end-to-end: define screeners, work with research ops and vendors, build proprietary panels where needed, and ensure participant samples are representative of the diversity of Superbet's user base across markets.
• Produce analysis that goes beyond surface themes: you apply systematic coding, grounded theory approaches, interpretive phenomenological analysis, or jobs-to-be-done frameworks -  selecting the analytical lens that fits the question, not the one that's familiar.
• You inspire product teams to take action and drive progress. You can handle different levels of exposure to research within the company and convert colleagues to champions. 

AI-Enhanced Qualitative Workflows

• Lead the integration of AI tooling into Superbet's qualitative research practice - not as a replacement for human interpretation but as a force multiplier that increases throughput and analytical depth.
• Deploy LLM-assisted transcript analysis pipelines that handle first-pass thematic coding, anomaly flagging, and cross-participant pattern detection - freeing analyst time for higher-order interpretation.
• Use AI tools for rapid synthesis across large corpora of qual data: customer feedback, support tickets, app reviews, social listening, and interview transcripts - triangulating signals that would otherwise require weeks of manual work.
• Critically evaluate the output of AI-assisted analysis for bias, hallucination, and over-compression - maintaining methodological integrity while embracing efficiency.
• Build workflows and documentation that allow the broader team to use AI-assisted qual tools responsibly, and run training sessions that upskill colleagues on both the power and the limits of these tools.

Strategic Insight Generation & Storytelling

• Translate raw qualitative data into insight frameworks that have a life beyond the single study: mental model maps, user need taxonomies, experience principles, and behavioural archetypes that inform multiple product teams over multiple quarters.
• Craft research deliverables that move people — not slide decks of quotes, but evidence-driven narratives that make stakeholders genuinely see the world through the user's eyes.
• Partner with the Principal Quant Researcher to design mixed-methods programmes where qual findings generate hypotheses that quant can test at scale, and where quant anomalies trigger qual investigation.
• Present research to senior and executive stakeholders with confidence and authority — you know how to hold the room, handle pushback on findings, and advocate for the user even when their experience is inconvenient for the business.
• Maintain a living qualitative insights repository: tag and cross-reference findings so that past research informs present decisions and the organisation's qualitative knowledge compounds over time.

Research Quality, Standards & Community

• Set the qualitative methodological bar for the research team: review study designs, discussion guides, and analysis from junior and mid-level researchers - providing specific, developmental feedback that elevates their craft.
• Develop and maintain qualitative research standards documentation: best practices for moderation, coding, synthesis, and reporting that are practical, not theoretical.
• Act as a qualitative research community builder within Superbet: run internal workshops, share cutting-edge methods from the field, and make qualitative research legible and valued by non-research partners.
• Identify opportunities to democratise qualitative methods across Product and Design teams, building guardrails and templates that enable safe self-serve research without compromising rigour.

What We Are Looking For

Essential Experience

• 8+ years of UX research experience with a clear depth specialisation in qualitative methods -  ideally with experience in both generative and evaluative contexts across the full product development lifecycle.
• Mastery of qualitative data collection: exceptional moderation skills across IDIs, focus groups, diary studies, ethnographic observation, and co-design facilitation. You are comfortable in the field, in a lab, and on a video call.
• Deep qualitative analysis expertise: systematic thematic analysis, grounded theory, affinity diagramming at scale, IPA, and the judgment to know when interpretive depth is needed versus surface-level synthesis.
• Strong mixed-methods fluency: experience designing studies that integrate qual and quant, and the ability to have a credible technical conversation with quantitative researchers about their methodology.
• Demonstrated experience using AI tools in qualitative workflows - not just awareness, but real implementation with critical assessment of quality and validity.
• A track record of qualitative research that influenced major product or strategy decisions, with specific examples you can speak to in depth.
• Experience working across multiple markets or cultural contexts - essential given Superbet's multi-country footprint.

Skills & Mindset

• World-class moderator: You have a gift for putting participants at ease and creating the conditions where genuine, unguarded truth emerges. You know when to probe, when to wait, and when to redirect.
• Interpretive depth: You go beyond what users say to understand what they mean — and you can defend your interpretations with analytical rigour, not just instinct.
• AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
• Generative thinker: You don't just answer the research question - you reframe it when necessary, spot adjacent insights the brief didn't ask for, and bring back richer evidence than expected.
• Empathy with edge: You care deeply about users and can advocate for them powerfully - but you're not naive. You understand the commercial context and know how to make the business case for user-centred decisions.
• Cultural intelligence: You are sensitive to the ways that culture shapes how people talk about their experiences, and you adjust your research approach accordingly.
• Org Mover - Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward. 
• Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive. 

Nice to Have

• MSc or PhD in Psychology, Anthropology, Sociology, HCI, Cultural Studies, or a related human behaviour field.
• Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful. 
• Experience with specialist qualitative methods: semiotics, discourse analysis, narrative research, or video ethnography.
• Proficiency with qualitative analysis tools: Dovetail, NVivo, MAXQDA, Atlas.ti, Reduct.
• Experience building or managing qualitative research panels or longitudinal participant communities.
• Published work or conference presentations in a qualitative research or HCI venue.

Why This Role at Superbet

Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.

• Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
• A team that values qualitative rigour and won't ask you to reduce everything to a number.
• Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
• A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
• Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.

About the Role

The Staff Qualitative Researcher is Superbet's most senior practitioner of human-centred inquiry. This is a hands-on, high-output IC role. You are the person who knows how to get to the truth of a user's experience: their mental models, their anxieties, their unspoken expectations, their moments of delight and frustration.

You will lead qualitative research across the most strategically important and ambiguous product questions Superbet faces - from understanding how new markets experience sports for the first time, to uncovering the emotional dynamics of live in-play gambling, to defining what responsible gaming actually feels like from a user's perspective. You will work closely with the Principal Quant Researcher and the Research Manager to ensure qualitative and quantitative evidence are always richer together than apart.

You bring methodological mastery, creative curiosity, and the kind of presence that makes participants forget they're being observed and leaders believe you shape company wide narratives. You also bring a future positive mindset: you are actively integrating AI tools into your workflow to do more, faster, without sacrificing the depth that makes qual irreplaceable. You know when AI is helpful and when it is not and can help junior researchers make decisions around when to use them. 

What You Will Own

Deep Qualitative Research Execution

• Design and independently execute complex, multi-method qualitative research programmes spanning generative discovery, concept exploration, and evaluative depth - not just individual studies but longitudinal programmes of inquiry.
• Lead the most high-stakes and ambiguous research briefs: new market entry, new product category launches, trust and safety research, responsible gambling insights, and strategic bets where the organisation has the least existing evidence.
• Operate the full qualitative toolkit with mastery: semi-structured and unstructured in-depth interviews, contextual inquiry and ethnographic observation, diary studies and longitudinal panels, participatory design workshops, focus groups, co-creation sessions, and remote moderated/unmoderated studies.
• You have deep expertise in mental models, perception, jobs to be done and combining them to paint a rich psychological and workflow design. 
• Own recruitment strategy end-to-end: define screeners, work with research ops and vendors, build proprietary panels where needed, and ensure participant samples are representative of the diversity of Superbet's user base across markets.
• Produce analysis that goes beyond surface themes: you apply systematic coding, grounded theory approaches, interpretive phenomenological analysis, or jobs-to-be-done frameworks -  selecting the analytical lens that fits the question, not the one that's familiar.
• You inspire product teams to take action and drive progress. You can handle different levels of exposure to research within the company and convert colleagues to champions. 

AI-Enhanced Qualitative Workflows

• Lead the integration of AI tooling into Superbet's qualitative research practice - not as a replacement for human interpretation but as a force multiplier that increases throughput and analytical depth.
• Deploy LLM-assisted transcript analysis pipelines that handle first-pass thematic coding, anomaly flagging, and cross-participant pattern detection - freeing analyst time for higher-order interpretation.
• Use AI tools for rapid synthesis across large corpora of qual data: customer feedback, support tickets, app reviews, social listening, and interview transcripts - triangulating signals that would otherwise require weeks of manual work.
• Critically evaluate the output of AI-assisted analysis for bias, hallucination, and over-compression - maintaining methodological integrity while embracing efficiency.
• Build workflows and documentation that allow the broader team to use AI-assisted qual tools responsibly, and run training sessions that upskill colleagues on both the power and the limits of these tools.

Strategic Insight Generation & Storytelling

• Translate raw qualitative data into insight frameworks that have a life beyond the single study: mental model maps, user need taxonomies, experience principles, and behavioural archetypes that inform multiple product teams over multiple quarters.
• Craft research deliverables that move people — not slide decks of quotes, but evidence-driven narratives that make stakeholders genuinely see the world through the user's eyes.
• Partner with the Principal Quant Researcher to design mixed-methods programmes where qual findings generate hypotheses that quant can test at scale, and where quant anomalies trigger qual investigation.
• Present research to senior and executive stakeholders with confidence and authority — you know how to hold the room, handle pushback on findings, and advocate for the user even when their experience is inconvenient for the business.
• Maintain a living qualitative insights repository: tag and cross-reference findings so that past research informs present decisions and the organisation's qualitative knowledge compounds over time.

Research Quality, Standards & Community

• Set the qualitative methodological bar for the research team: review study designs, discussion guides, and analysis from junior and mid-level researchers - providing specific, developmental feedback that elevates their craft.
• Develop and maintain qualitative research standards documentation: best practices for moderation, coding, synthesis, and reporting that are practical, not theoretical.
• Act as a qualitative research community builder within Superbet: run internal workshops, share cutting-edge methods from the field, and make qualitative research legible and valued by non-research partners.
• Identify opportunities to democratise qualitative methods across Product and Design teams, building guardrails and templates that enable safe self-serve research without compromising rigour.

What We Are Looking For

Essential Experience

• 8+ years of UX research experience with a clear depth specialisation in qualitative methods -  ideally with experience in both generative and evaluative contexts across the full product development lifecycle.
• Mastery of qualitative data collection: exceptional moderation skills across IDIs, focus groups, diary studies, ethnographic observation, and co-design facilitation. You are comfortable in the field, in a lab, and on a video call.
• Deep qualitative analysis expertise: systematic thematic analysis, grounded theory, affinity diagramming at scale, IPA, and the judgment to know when interpretive depth is needed versus surface-level synthesis.
• Strong mixed-methods fluency: experience designing studies that integrate qual and quant, and the ability to have a credible technical conversation with quantitative researchers about their methodology.
• Demonstrated experience using AI tools in qualitative workflows - not just awareness, but real implementation with critical assessment of quality and validity.
• A track record of qualitative research that influenced major product or strategy decisions, with specific examples you can speak to in depth.
• Experience working across multiple markets or cultural contexts - essential given Superbet's multi-country footprint.

Skills & Mindset

• World-class moderator: You have a gift for putting participants at ease and creating the conditions where genuine, unguarded truth emerges. You know when to probe, when to wait, and when to redirect.
• Interpretive depth: You go beyond what users say to understand what they mean — and you can defend your interpretations with analytical rigour, not just instinct.
• AI-enhanced, not AI-dependent: You use AI to go faster and deeper, but your analytical judgement is irreplaceable and you know it. You apply AI tools critically, not uncritically.
• Generative thinker: You don't just answer the research question - you reframe it when necessary, spot adjacent insights the brief didn't ask for, and bring back richer evidence than expected.
• Empathy with edge: You care deeply about users and can advocate for them powerfully - but you're not naive. You understand the commercial context and know how to make the business case for user-centred decisions.
• Cultural intelligence: You are sensitive to the ways that culture shapes how people talk about their experiences, and you adjust your research approach accordingly.
• Org Mover - Your research is not theory alone, you know how to make things tangible, bite sized and move people and work forward. 
• Embrace difficult conversations - Driving research impact is as much about doing good research as it is about convincing people to see things your way. You work with people both easy and difficult to collaborate with to make great experiences come alive. 

Nice to Have

• MSc or PhD in Psychology, Anthropology, Sociology, HCI, Cultural Studies, or a related human behaviour field.
• Experience in high intensity consumer products, marketplaces, gaming, financial services, with some degree of experience in trust and safety is useful. 
• Experience with specialist qualitative methods: semiotics, discourse analysis, narrative research, or video ethnography.
• Proficiency with qualitative analysis tools: Dovetail, NVivo, MAXQDA, Atlas.ti, Reduct.
• Experience building or managing qualitative research panels or longitudinal participant communities.
• Published work or conference presentations in a qualitative research or HCI venue.

Why This Role at Superbet

Sports is one of the richest contexts for qualitative research: the experience is emotionally intense, socially embedded, culturally specific, and morally complex. Users have contradictory motivations. Their stated and actual behaviour diverge. The moments of joy and frustration are extreme. Understanding all of this deeply, not just what users click, but why they feel what they feel - is what separates good product decisions from great ones.

• Access to a diverse, passionate user base across 12+ markets - every cultural context brings new research challenges.
• A team that values qualitative rigour and won't ask you to reduce everything to a number.
• Senior visibility: your insights will be read by the CPO and product leadership, not just deposited in a repo.
• A Principal Quant Researcher as a genuine peer - someone to build with, argue with, and create better mixed-methods evidence with.
• Competitive compensation at Staff IC level with equity and a genuine investment in your development as a researcher.

Title:                    Project Manager

Job Type:            Full-time

Tenure:               Permanent

Location:            London, UK

Education:         Bachelor’s degree (or equivalent)

We invite you to come grow with us.

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

About the team:

The RP Operations team works alongside our Custom and Syndicated research teams to deliver a broad range of qualitative and quantitative (ad hoc and tracking) studies for global pharmaceutical, MedTech and biotech clients to enable them to address product development, marketing, brand, advertising and communications objectives. Our studies are typically multi-market, encompassing respondents in Europe, North America and Emerging Markets.

Each of our research projects will have a dedicated member of the RP Operations team embedded within the core project team for the full project lifecycle, providing project management expertise and guidance throughout. Typically, members of our Operations team will support multiple projects concurrently.

Within the Operations department, members of the team are encouraged to support subject-matter Pillars, led by Project Directors and Associate Project Directors. These Pillars include initiatives and programmes focusing on Clients, Suppliers, People, Innovation, and Operational Excellence. As a Project Manager, you are empowered to take on ownership of a sub-topic within your Pillar and can have responsibility for developing ideas and initiatives relevant to that sub-topic.

Within this role you will be empowered to develop your project management expertise across the healthcare market research landscape, and will have the opportunity to work with a wide range of different experts in our teams.

Your primary role:

The role of the Project Manager is to cost and oversee the set up and management of fieldwork and data collection to ensure successful completion within best practices. You will also be expected to contribute to company operations processes; providing proactive ideas and plans about improving the efficiency of the project management function and projects. Core, but not exclusive, responsibilities will include:

• Responsibility for sourcing, obtaining and negotiating commercially advantageous costs from external suppliers and panel providers for Research Partnership project proposals
• Updating suppliers on the status of their quotes
• Overseeing the smooth running of fieldwork management
• Successful handover of project deliverables to research team:
  • Coordination of Data Processing (DP) work and deliverables, based on specs and templates provided by the project team (Quant-only)
  • Coordination of Qual deliverables, including: Transcripts and/or recordings (notes, videos, audio files) (Qual-only)
• Own, coordinate and update project timelines with internal research and external client and supplier stakeholders
• Take ownership for coordinating project team meetings,
• Opportunity to develop line management responsibilities for junior members of the team
• Responsibility for Pharmacovigilance and Adverse Event reporting
• Coordination of client and supplier Statements of Work (SOWs)
• Client and supplier invoice management (PO numbers, invoicing and liaison with Finance team)
• You will own specific sub-topics as a member of one of the department’s Pillars (Clients, Suppliers, People, Innovation, Operational Excellence)

About You…

Your skills and experience:

• More than 3 years of experience in market research project management (qualitative and/or quantitative research)
• Experience managing healthcare market research projects
• Knowledge of the fieldwork agency landscape
• Strong project management skills (adhering to agreed timelines, troubleshooting and communication with internal and external stakeholders)
• Ability to multitask
• Collaboration and working as part of a team
• Ability to work under pressure and to tight deadlines
• Excellent numerical skills

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Life at Research Partnership:

We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide:

• A comprehensive training and development programme for all staff, from entry level apprentice to senior management
• A relaxed and friendly working environment
• Social events - including a summer day out and end-of-year party, along with regular social events after office hours
• Fundraising and charity events – we support Forever Angels, a children's charity whose aim is to care for abandoned babies in Tanzania, Africa, as well as the local charity, Fulham Good Neighbours

Further information:

This is a full-time role, working in a hybrid pattern (2 days per week in the office) at our fantastic HQ location in Fulham Green, directly opposite Putney Bridge in London, which boasts free state-of-the-art gym with showers, on-site café, panoramic river views, landscaped gardens and regular social events.

Title:                    Project Manager

Job Type:            Full-time

Tenure:               Permanent

Location:            London, UK

Education:         Bachelor’s degree (or equivalent)

We invite you to come grow with us.

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

About the team:

The RP Operations team works alongside our Custom and Syndicated research teams to deliver a broad range of qualitative and quantitative (ad hoc and tracking) studies for global pharmaceutical, MedTech and biotech clients to enable them to address product development, marketing, brand, advertising and communications objectives. Our studies are typically multi-market, encompassing respondents in Europe, North America and Emerging Markets.

Each of our research projects will have a dedicated member of the RP Operations team embedded within the core project team for the full project lifecycle, providing project management expertise and guidance throughout. Typically, members of our Operations team will support multiple projects concurrently.

Within the Operations department, members of the team are encouraged to support subject-matter Pillars, led by Project Directors and Associate Project Directors. These Pillars include initiatives and programmes focusing on Clients, Suppliers, People, Innovation, and Operational Excellence. As a Project Manager, you are empowered to take on ownership of a sub-topic within your Pillar and can have responsibility for developing ideas and initiatives relevant to that sub-topic.

Within this role you will be empowered to develop your project management expertise across the healthcare market research landscape, and will have the opportunity to work with a wide range of different experts in our teams.

Your primary role:

The role of the Project Manager is to cost and oversee the set up and management of fieldwork and data collection to ensure successful completion within best practices. You will also be expected to contribute to company operations processes; providing proactive ideas and plans about improving the efficiency of the project management function and projects. Core, but not exclusive, responsibilities will include:

• Responsibility for sourcing, obtaining and negotiating commercially advantageous costs from external suppliers and panel providers for Research Partnership project proposals
• Updating suppliers on the status of their quotes
• Overseeing the smooth running of fieldwork management
• Successful handover of project deliverables to research team:
  • Coordination of Data Processing (DP) work and deliverables, based on specs and templates provided by the project team (Quant-only)
  • Coordination of Qual deliverables, including: Transcripts and/or recordings (notes, videos, audio files) (Qual-only)
• Own, coordinate and update project timelines with internal research and external client and supplier stakeholders
• Take ownership for coordinating project team meetings,
• Opportunity to develop line management responsibilities for junior members of the team
• Responsibility for Pharmacovigilance and Adverse Event reporting
• Coordination of client and supplier Statements of Work (SOWs)
• Client and supplier invoice management (PO numbers, invoicing and liaison with Finance team)
• You will own specific sub-topics as a member of one of the department’s Pillars (Clients, Suppliers, People, Innovation, Operational Excellence)

About You…

Your skills and experience:

• More than 3 years of experience in market research project management (qualitative and/or quantitative research)
• Experience managing healthcare market research projects
• Knowledge of the fieldwork agency landscape
• Strong project management skills (adhering to agreed timelines, troubleshooting and communication with internal and external stakeholders)
• Ability to multitask
• Collaboration and working as part of a team
• Ability to work under pressure and to tight deadlines
• Excellent numerical skills

Ideal profile:

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Life at Research Partnership:

We love what we do and continuously strive for innovation and creativity. We believe everyone should continuously be learning and provide:

• A comprehensive training and development programme for all staff, from entry level apprentice to senior management
• A relaxed and friendly working environment
• Social events - including a summer day out and end-of-year party, along with regular social events after office hours
• Fundraising and charity events – we support Forever Angels, a children's charity whose aim is to care for abandoned babies in Tanzania, Africa, as well as the local charity, Fulham Good Neighbours

Further information:

This is a full-time role, working in a hybrid pattern (2 days per week in the office) at our fantastic HQ location in Fulham Green, directly opposite Putney Bridge in London, which boasts free state-of-the-art gym with showers, on-site café, panoramic river views, landscaped gardens and regular social events.

We are seeking a Staff or Principal Applied AI Researcher to join a fast growing team building an agent native search platform - the web access layer for AI systems.

You can think of this as Google for AI agents: a system designed for machines, not humans. We are building agentic search, where AI systems actively plan, retrieve, evaluate, and refine information rather than simply returning results. As AI becomes the primary interface to the web, this layer will replace the role of traditional search engines.

We are designing how AI agents - not humans - retrieve, evaluate, and reason over web data in real time, under strict latency and reliability constraints. This means solving retrieval and ranking under entirely new access patterns and at significant scale, with systems operating over constantly changing, unstructured data and serving tens of thousands of production workloads 24 by 7.

This role comes with ownership over key parts of our applied AI research direction and system design, with a strong expectation of defining new approaches and shipping measurable impact in production.

What you'll work on:

• Designing agent native retrieval systems optimised for machine consumption rather than human search UX
• Building systems where LLMs iteratively plan, query, refine, and reason over results
• Developing ranking and retrieval approaches for multi step, agent driven workflows under real world constraints

Your responsibilites:

• Drive applied research and technical direction across retrieval and ranking systems
• Design and evolve multi stage retrieval architectures (query understanding, rewriting, reranking, iterative retrieval)
• Develop methods for grounding LLMs in real time web data at scale
• Define and implement new evaluation paradigms and metrics for agentic systems, where correctness is not reducible to clicks
• Lead experimentation on modern retrieval approaches (embeddings, hybrid search, reranking) and bring them into production
• Analyse trade-offs across relevance, latency, and cost at scale
• Work closely with engineering to deploy systems in high throughput, low latency environments
• Own ambiguous problems end to end and contribute to product and research direction
• Mentor engineers and help raise the technical bar of the team

Must haves:

• 8+ years of experience in applied AI, ML, or software engineering
• Proven track record of shipping ML or AI systems to production at scale
• Deep experience with search, retrieval, ranking, recommendation systems, or assistants
• Strong understanding of modern deep learning, especially transformers and embeddings
• Experience with LLM integrated or knowledge intensive systems
• Experience designing evaluation frameworks and metrics for ML systems
• Strong programming skills in Python and at least one of Go, C++, or similar
• Ability to operate in a fast moving, product driven environment with high ownership and autonomy

Nice to haves

• Experience with large scale search or recommendation systems
• Background in agentic AI systems (agents, tool use, autonomous workflows)
• Experience with RAG, multi step retrieval, or tool use
• Publications, open source, or similar signals of technical depth and impact

The Role

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

We are looking for Early talents to support research in:

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

Your responsibilities will include:

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

We expect you to have:

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

Nice to have:

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

What we offer

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

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

The role

Nebius is building the next generation Full-stack AI cloud platform to power model training, post-training, and large-scale inference for AI-native companies and enterprises. As we expand our presence across the global AI startup ecosystem, we are looking for an Industry Partnerships Lead to build strategic relationships with leading technology companies, enterprises, and industry platforms. 

This role focuses on developing partnerships that accelerate adoption of Nebius infrastructure by collaborating with leading AI-native companies, digital-native companies, and enterprises that share the same startup ICP, while creating long-term ecosystem value through joint go-to-market initiatives and industry collaboration. 

You will work closely with the venture partnerships, community, sales, marketing, channel and BDRs to identify high-impact opportunities and build scalable partnership programs. 

You’re welcome to work hybrid from London or remote from Paris.

Your responsibilities will include: 

Develop strategic industry partnerships 

• Identify and build relationships with leading AI-native startups, digital-natives, enterprises, and ecosystem partners across priority industries with the shared startup ICP. 
• Establish Nebius as a strategic infrastructure partner within emerging AI ecosystems. 

Drive joint go-to-market initiatives 

• Create and execute partnership initiatives such as joint programs, campaigns, ecosystem collaborations, and industry events. 
• Work with internal sales and marketing teams to translate partnerships into qualified opportunities and pipeline. 

Build industry-focused ecosystem programs 

• Design programs that connect industry leaders with founders, startups, researchers building on Nebius. 
• Support vertical initiatives across key sectors such as Robotics & physical AI, HCLS, Media & Entertainment, Retail, Gaming and more.  

Enable cross-functional collaboration 

• Partner closely with sales, marketing, channels, BDR and CSA teams to ensure alignment on partnership opportunities and customer needs. 
• Establish clear frameworks and playbook for partner engagement and internal collaboration. 

Operationalize partnership workflows 

• Track partner engagement, pipeline contribution, and program outcomes through CRM systems and internal processes. 
• Continuously refine partnership strategy based on ecosystem insights and market developments. 

Pipeline Generation 

• Build systematic programs and engagement models with industry partners to accelerate startup customer adoption and conversion. 
• Identify and activate shared ICP opportunities between Nebius and industry partners to generate qualified startup pipeline. 
• Design joint initiatives (e.g., partner-led programs, co-hosted events, ecosystem initiatives, or sector-focused programs) that drive founder and researcher engagement. 

We expect you to have: 

• 7+ years of experience in strategic partnerships, business development, ecosystem strategy, or GTM roles 
• Experience working with AI infrastructure, cloud platforms, or tech ecosystems 
• Strong understanding of startup and venture ecosystems 
• Proven ability to build strategic partnerships that drive adoption, pipeline, or revenue 
• Experience working in high-growth startups, scale-ups, or technology companies 
• Ability to collaborate across sales, marketing, product, and engineering teams 
• Familiarity with CRM tools such as Salesforce or HubSpot 

Traditional market research is built around studies. This role is not.

At Super, we are building an AI-native research function where insight is not delivered in isolated projects, but generated continuously through systems. As a Staff Market Intelligence Researcher, your primary tool is AI—not as a shortcut, but as the infrastructure through which research happens.

You will design and operate research systems that produce high-quality consumer and market intelligence at a speed and scale that traditional agency models cannot match. Where others deliver one study in six weeks, you will deliver multiple validated insights in a fraction of the time—not by working harder, but by working differently.

This is a hands-on, high-impact individual contributor role. You will sit across Marketing Intelligence and Performance & Analytics, connecting consumer understanding directly to commercial outcomes, while building the workflows, tools, and infrastructure that make this possible.

What You’ll Be Doing

Building AI-Native Research Systems

You will move research from one-off studies to continuous intelligence systems.

• Design and run AI-moderated qualitative research at scale (e.g. interviews, concept testing, exploratory qual)
• Build repeatable workflows: survey pipelines, social listening synthesis, competitive monitoring agents
• Use LLMs to analyse large volumes of unstructured data (app reviews, transcripts, customer feedback)
• Implement validation frameworks to ensure AI outputs are reliable and decision-ready
• Optimise every workflow for speed, with most outputs delivered in days—not weeks

Delivering High-Throughput Insight

You will be the primary executor of research—not a coordinator.

• Own and triage research requests from across the marketing organisation
• Deliver insights within a two-week maximum turnaround (often faster for urgent needs)
• Translate findings into clear, actionable recommendations for marketing teams
• Run both synthetic-first validation and targeted human research where required

Owning Always-On Consumer & Brand Intelligence

You will build and maintain a live view of the consumer and brand.

• Operate a continuous brand intelligence system (pulse surveys, sentiment, social data)
• Maintain and evolve consumer segmentation frameworks
• Conduct deep qualitative research for complex or high-stakes questions
• Build and manage a structured, searchable insights library

Building Automated Competitive Intelligence

You will create a system that continuously monitors the market.

• Deploy automated agents to track competitor activity across ads, pricing, hiring, product, and media
• Synthesize signals into regular, decision-oriented competitive briefings
• Interpret what competitor activity means—not just what happened

Developing AI Research Infrastructure

You will build the foundation that enables scale.

• Own the AI research tool stack: evaluation, integration, and governance
• Create automated pipelines for intake, sampling, analysis, and delivery
• Establish best practices for responsible, rigorous AI-assisted research
• Stay ahead of emerging methodologies (synthetic research, agentic workflows, multimodal analysis)

Connecting Insight to Commercial Impact

You will bridge research with performance.

• Partner with analytics to explain performance trends through consumer understanding
• Feed insight into campaign development—not just post-campaign evaluation
• Contribute to leadership-level marketing intelligence reporting

What We Are Looking For

• 6–9 years in consumer insights or market research with strong mixed-methods expertise
• Proven experience building and running AI-augmented research workflows at scale
• Track record of operating in high-throughput, fast-paced environments
• Strong quantitative skills (survey design, sampling, analysis)
• Solid qualitative expertise (moderation, discussion design, synthesis)
• Experience with brand tracking or continuous measurement systems
• Commercial acumen—ability to connect insights to business outcomes
• Background in fast-moving digital consumer businesses (e.g. gaming, e-commerce, fintech)

Nice to Have

• Experience in gaming, sports betting, or high-LTV consumer sectors
• Familiarity with tools such as Brandwatch, Klue, Quantilop, Crayon, or similar
• Experience with AI research platforms (e.g. AI-moderated interviews, qualitative synthesis tools)
• Exposure to synthetic research methods (AI personas, simulated respondents)
• Coding experience (Python or R) for automation or analysis
• Multi-market or international research experience

We are seeking a highly skilled and empathetic Senior CX Researcher to deliver deep customer insights across our leading automotive client's mobile App Operations (App Ops) and Web Operations (Digital Experience - DX) teams. This hybrid role is for a strategic researcher who will split their time 50/50 between these two critical areas, fostering a holistic understanding of the customer journey and ensuring a seamless, high-quality experience across all digital touchpoints. 

You will be instrumental in uncovering user needs, behaviors, and motivations, translating them into actionable recommendations that drive product strategy, design decisions, and ultimately, customer satisfaction and loyalty within the automotive ecosystem. You'll be the voice of the customer, directly influencing the evolution of the client's key digital products. 

What you’ll be doing: 

You are a highly motivated, self-sufficient, and top-tier Senior CX Researcher with a passion for understanding people and solving complex problems. Your expertise spans a wide range of research methodologies, and you are adept at synthesizing diverse data points into clear, compelling narratives that drive business impact. 

• Strategic Research Planning & Execution (Across App & Web): 

• Develop and execute comprehensive research plans, utilizing a blend of qualitative and quantitative methodologies tailored to specific product and business objectives within both App Ops and Web Ops (DX). 

• Design, facilitate, and moderate a variety of research activities, including in-depth interviews, usability testing (on desktop and mobile devices), contextual inquiries, focus groups, surveys, card sorting, and tree testing. 

• Manage participant recruitment, screening, and scheduling for research studies, ensuring diverse and representative samples. 

• Champion user-centered design principles and a research-driven approach throughout both App Ops and Web Ops (DX) teams. 

• App Operations Focus (Approx. 50%): 

• Conduct specialized research into mobile app user behavior, covering aspects like onboarding flows, feature discoverability and adoption, in-app navigation, notification preferences, integration with vehicle features, and overall app performance sentiment. 

• Evaluate existing and proposed app functionalities to identify pain points, usability issues, and opportunities for experience enhancement within the App Operations lifecycle. 

• Analyze mobile-specific analytics data (e.g., app usage metrics, crash reports, session recordings) to inform research questions and validate findings. 

• Web Operations (DX) Focus (Approx. 50%): 

• Lead research efforts for the client's website and other digital platforms, focusing on user journeys related to vehicle configuration, online purchasing, service booking, lead generation, content consumption, and brand engagement. 

• Investigate website information architecture, navigation structures, content effectiveness, and conversion funnels to identify friction points and optimization opportunities. 

• Utilize web analytics data (e.g., Google Analytics, Adobe Analytics, heatmaps) to identify areas requiring deeper qualitative investigation. 

• Analysis, Synthesis & Communication: 

• Analyze research data from various sources (qualitative feedback, quantitative metrics) to identify patterns, themes, and actionable insights. 

• Synthesize complex findings into clear, concise, and compelling deliverables such as research reports, personas, journey maps (detailing cross-channel experiences), user flows, and actionable recommendations. 

• Present research findings and recommendations to diverse stakeholders, from product managers and designers to marketing teams and C-suite executives, adapting communication style and level of detail as appropriate. 

• Maintain a centralized repository of research insights, ensuring findings are discoverable and utilized across both App Ops and Web Ops (DX) teams. 

What we want from you: 

• Extensive Research Experience: 5+ years of hands-on experience as a UX Researcher, CX Researcher, or similar role, demonstrating a broad command of qualitative and quantitative research methodologies. 

• Automotive Industry Acumen: A demonstrated passion for and understanding of the automotive industry, customer segments, vehicle ownership lifecycle, and the role of digital services in modern motoring. 

• Dual-Platform Expertise: Proven experience conducting research across both mobile applications (iOS and Android) and complex web platforms, understanding the unique constraints and opportunities of each. 

• Methodological Versatility: Expertise in designing and executing a wide range of research methods, including but not limited to: usability testing, in-depth interviews, surveys, A/B test analysis, contextual inquiry, and ethnographic studies. 

• Analytical & Data-Driven: Strong analytical skills with the ability to interpret complex data from various sources (analytics platforms, research studies) and translate it into actionable design and business insights. 

• Collaboration & Adaptability: Exceptional collaboration skills, with the ability to seamlessly transition between and effectively support two distinct teams (App Ops and Web Ops/DX) with competing priorities. 

• Communication & Storytelling: Excellent written and verbal communication skills, with the ability to create compelling narratives from research findings and influence stakeholders at all levels. 

• Tool Proficiency: Proficiency with research tools (e.g., UserTesting.com, Qualtrics, Optimal Workshop), analytics platforms (e.g., Google Analytics, Adobe Analytics, Mixpanel, Firebase), and design collaboration tools (e.g., Figma for reviewing prototypes). 

• Strategic & Proactive: Ability to proactively identify research needs, frame problems, and define opportunities that align with business objectives, rather than just responding to requests. 

• Empathy & Customer Advocacy: A deep-seated empathy for the customer and a relentless drive to advocate for their needs throughout the product development lifecycle. 

• Agile Environment Experience: Comfortable operating within agile development methodologies, delivering timely insights to inform iterative product development. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

We are seeking an experienced and insight-led CX Researcher to join a dedicated Customer Journey workstream supporting a high-profile automotive client. This role is focused on understanding and improving the end-to-end customer journey across key automotive experiences — from initial brand discovery and vehicle research through to purchase, ownership, servicing, retention, and loyalty interactions. 

Working closely with CX Strategists, UX Designers, Service Designers, Analysts, Content Strategists, Product teams, and client stakeholders, you will help uncover customer needs, pain points, behavioural patterns, and opportunity areas across both digital and broader connected customer experiences. You will play a critical role in ensuring customer insight directly informs journey design, prioritisation, service improvements, and strategic decision-making across the account. 

This is a highly collaborative role suited to someone who enjoys connecting customer behaviour, operational realities, and business objectives into actionable recommendations that improve experience quality and drive measurable outcomes. 

Key Responsibilities: 

1. Customer Journey Research & Insight Generation:

• Plan and conduct qualitative and quantitative customer research focused on understanding end-to-end automotive customer journeys across multiple touchpoints and channels.  

• Identify customer pain points, unmet needs, behavioural drivers, and moments of friction throughout the ownership and purchase lifecycle.  

• Conduct a range of research methodologies including customer interviews, contextual research, surveys, usability testing, diary studies, journey reviews, ethnographic research, and stakeholder workshops.  

• Synthesise complex research findings into clear, actionable insights that inform customer journey improvements and strategic recommendations.  

• Support journey-focused discovery initiatives across areas such as vehicle research, online and offline purchasing experiences, ownership journeys, servicing, aftersales, retention, and loyalty.  

• Help establish a deeper understanding of evolving customer expectations within the automotive landscape.  

1. Customer Journey Mapping & Experience Strategy:

• Create and maintain customer journey maps, service blueprints, personas, behavioural frameworks, and ecosystem maps that help visualise and communicate customer experiences.  

• Analyse interactions across digital and non-digital touchpoints to identify opportunities for greater consistency, efficiency, and customer satisfaction.  

• Support the definition of customer-centric strategies and recommendations aligned to business objectives and operational priorities.  

• Collaborate with UX, Service Design, Product, Marketing, and Operational teams to ensure customer insight is embedded throughout design and delivery processes.  

• Help prioritise journey improvements based on customer impact, feasibility, and commercial value.  

1. Data, Insight & Continuous Improvement:

• Collaborate with analytics and optimisation teams to combine behavioural data with qualitative customer insight.  

• Use customer feedback, analytics, VOC data, operational insight, and performance reporting to identify emerging trends and opportunities.  

• Support experience measurement frameworks and ongoing journey performance evaluation.  

• Contribute to continuous improvement initiatives by helping validate hypotheses, measure outcomes, and refine recommendations over time.  

• Advocate for evidence-based and customer-centred decision making across the wider programme.  

1. Collaboration & Stakeholder Engagement:

• Work collaboratively with CX Strategists, UX Designers, Service Designers, Analysts, Product Owners, Content Strategists, Developers, Program Managers, and client stakeholders.  

• Facilitate workshops, collaborative working sessions, and playback presentations with both internal teams and client stakeholders.  

• Present research findings and journey insights clearly and confidently to audiences ranging from delivery teams to senior leadership.  

• Help align cross-functional teams around customer needs, experience priorities, and strategic opportunity areas.  

• Contribute positively to team culture, ways of working, and the ongoing maturity of customer journey thinking across the account.  

What we want from you: 

• Strong experience in CX Research, UX Research, Service Design Research, Customer Insight, or related disciplines.  

• Proven experience researching and analysing end-to-end customer journeys across digital and service ecosystems.  

• Strong understanding of customer-centred design principles, behavioural insight, and journey mapping methodologies.  

• Experience conducting both qualitative and quantitative research using a variety of methodologies.  

• Ability to synthesise large volumes of research and operational information into clear, actionable recommendations.  

• Strong experience creating customer journey maps, service blueprints, personas, insight reports, and strategic frameworks.  

• Experience working across complex, enterprise, or multi-channel customer environments.  

• Strong stakeholder management, workshop facilitation, and presentation skills.  

• Ability to balance strategic thinking with hands-on delivery within fast-paced and evolving programmes.  

• Strong collaboration skills with the ability to work effectively across CX, UX, product, analytics, content, and operational teams.  

• Excellent communication and storytelling skills with the ability to make complex customer insight accessible and impactful.  

• Automotive, retail, mobility, travel, financial services, or other customer experience-led industry experience is advantageous but not essential.  

• A proactive, curious, and empathetic mindset with a passion for improving customer experiences through insight-led thinking.  

• A strong portfolio showcasing customer research approaches, journey mapping, and measurable experience improvements is essential. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA

We are seeking an experienced and insight-driven CX Researcher to join a dedicated Web Operations (Digital Experience - DX) team supporting a high-profile automotive client. This role is ideal for someone passionate about understanding customer behaviour, uncovering actionable insights, and helping shape data-informed digital experiences across complex web ecosystems. 

Working closely with UX Designers, UI Designers, Analysts, Optimisation specialists, Content Strategists, Developers, Product Owners, and client stakeholders, you will play a key role in identifying customer needs, pain points, behaviours, and opportunities across the client’s digital platforms. You will help ensure customer insight sits at the centre of experience design, optimisation, and operational decision-making across the Web Ops (DX) environment. 

This is a highly collaborative role suited to someone comfortable balancing strategic research initiatives with fast-paced operational support, helping continuously improve customer journeys, digital performance, and overall experience quality through evidence-based recommendations. 

Key Responsibilities: 

1. Customer Research & Insight Generation (Web Operations / Digital Experience Focus):

• Plan, conduct, and synthesise qualitative and quantitative research activities across the client’s web ecosystem.  

• Deliver actionable customer insights that help shape UX improvements, optimisation initiatives, content strategies, and broader digital experience decisions.  

• Conduct a range of research methodologies including user interviews, usability testing, surveys, diary studies, heuristic reviews, competitor analysis, behavioural analysis, and stakeholder workshops.  

• Analyse customer pain points, friction areas, and unmet needs across key automotive customer journeys including research, purchase consideration, ownership, and servicing experiences.  

• Support ongoing operational and optimisation initiatives by identifying opportunities for continuous improvement across digital touchpoints.  

• Translate complex findings into clear, digestible insights and recommendations for both technical and non-technical stakeholders.  

1. Data-Informed Experience Optimisation:

• Collaborate closely with analytics and optimisation teams to combine behavioural data with qualitative customer insight.  

• Support CRO and experimentation initiatives by helping define hypotheses, evaluate user behaviour, and validate design decisions.  

• Use analytics platforms, heatmaps, session recordings, surveys, and customer feedback tools to identify experience improvement opportunities.  

• Help measure the effectiveness of digital experiences and contribute to ongoing optimisation roadmaps.  

• Advocate for evidence-based decision making across the wider DX team and client organisation.  

1. Customer Journey & Experience Strategy Support:

• Develop customer journey maps, personas, behavioural frameworks, and insight reports that support experience strategy and design decision-making.  

• Help identify end-to-end customer experience opportunities across multiple channels and touchpoints.  

• Support workshops and collaborative sessions to align stakeholders around customer needs, priorities, and opportunity areas.  

• Contribute to the definition of customer-centric frameworks, principles, and ways of working within the Web Ops (DX) team.  

• Ensure customer insight is effectively integrated into product, content, UX, and optimisation workflows.  

1. Collaboration & Stakeholder Engagement:

• Work collaboratively with UX Designers, UI Designers, Content Strategists, Analysts, Developers, Product Owners, Program Managers, and client stakeholders.  

• Present research findings, insights, and recommendations clearly and confidently to diverse audiences ranging from delivery teams to senior stakeholders.  

• Collaborate with cross-functional teams to ensure research outputs are actionable, measurable, and aligned to business objectives.  

• Support the prioritisation of customer experience opportunities based on user impact, feasibility, and commercial value.  

• Contribute positively to team culture, research maturity, and continuous improvement initiatives within the DX team.  

What we want from you: 

• Strong experience in CX Research, UX Research, Service Design Research, or related customer insight disciplines within digital environments.  

• Proven experience conducting and synthesising both qualitative and quantitative research methodologies.  

• Strong understanding of digital customer journeys, user behaviour analysis, and customer-centred design principles.  

• Experience working across complex web ecosystems, digital products, or enterprise-level platforms.  

• Ability to translate research findings into clear, actionable insights and strategic recommendations.  

• Strong experience creating research outputs including journey maps, personas, insight reports, workshop outputs, and behavioural analysis.  

• Familiarity with analytics, experimentation, CRO, and behavioural insight tools and methodologies.  

• Strong workshop facilitation, stakeholder engagement, and presentation skills.  

• Comfortable working within fast-paced operational environments managing multiple concurrent priorities and research requests.  

• Strong collaboration skills with the ability to work effectively across UX, UI, analytics, optimisation, content, and development teams.  

• Excellent communication and storytelling skills with the ability to simplify complex information for varied audiences.  

• Automotive, retail, eCommerce, or premium consumer brand experience is advantageous but not essential.  

• A proactive, curious, and solutions-focused mindset with a passion for improving customer experiences through insight-led decision making. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Permanent only:
We offer a great benefits package including a discretionary bonus scheme, training opportunities, competitive pension, medical insurance, life assurance, social events, opportunities to buy and sell holidays, family friendly policies, discounts with hundreds of retailers and much more.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA #LI-AS1

• Lead and execute end-to-end projects across both Qualitative and Quantitive research, from initial planning and scoping to synthesis of findings and actionable recommendations, with close collaboration with product, design and engineering partners throughout.
• Conduct specialised research focused on Anaplan's AI-driven products, evaluating their effectiveness, identifying areas for improvement, and exploring new opportunities for innovation.
• Design and execute a range of research methods—including interviews, usability testing, surveys—while managing participant recruitment, logistics, and success metrics.
• Synthesise data from multiple sources (user research, analytics, customer feedback) into clear, actionable insights that drive prioritisation and product outcomes.
• Present research findings and insights to a variety of audiences, including executive leadership, to drive user-centered strategy.
• Champion the application of AI-powered tools and methodologies within the research process to enhance efficiency and uncover deeper insights.
• Lead on research practices, tools, and ways of working, while educating and supporting partners on when and how to apply research effectively.

• Proven experience in a senior research position, with a track record of leading high-impact research projects for both strategic and tactical product innovations.
• Deep understanding of core research methods and experience conducting user research on complex products, including AI-powered products.
• Strong ability to analyse and synthesise qualitative and quantitative data into clear insights that influence product direction.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.
• Hands-on experience utilising AI-powered tools (e.g., automated analysis, sentiment analysis, predictive modelling) to enhance the research process.
• Proven ability to work effectively in a collaborative, fast-paced environment with senior stakeholders and to manage multiple projects simultaneously.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.

• Experience in B2B or SaaS environments, particularly with complex, data-rich products.
• Experience in strategic research for AI-powered products.
• Familiarity with enterprise domains such as financial planning, forecasting, or decision-making tools.
• Background in Human-Computer Interaction, Psychology, or a related field.

• Lead and execute end-to-end projects across both Qualitative and Quantitive research, from initial planning and scoping to synthesis of findings and actionable recommendations, with close collaboration with product, design and engineering partners throughout.
• Conduct specialised research focused on Anaplan's AI-driven products, evaluating their effectiveness, identifying areas for improvement, and exploring new opportunities for innovation.
• Design and execute a range of research methods—including interviews, usability testing, surveys—while managing participant recruitment, logistics, and success metrics.
• Synthesise data from multiple sources (user research, analytics, customer feedback) into clear, actionable insights that drive prioritisation and product outcomes.
• Present research findings and insights to a variety of audiences, including executive leadership, to drive user-centered strategy.
• Champion the application of AI-powered tools and methodologies within the research process to enhance efficiency and uncover deeper insights.
• Lead on research practices, tools, and ways of working, while educating and supporting partners on when and how to apply research effectively.

• Proven experience in a senior research position, with a track record of leading high-impact research projects for both strategic and tactical product innovations.
• Deep understanding of core research methods and experience conducting user research on complex products, including AI-powered products.
• Strong ability to analyse and synthesise qualitative and quantitative data into clear insights that influence product direction.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.
• Hands-on experience utilising AI-powered tools (e.g., automated analysis, sentiment analysis, predictive modelling) to enhance the research process.
• Proven ability to work effectively in a collaborative, fast-paced environment with senior stakeholders and to manage multiple projects simultaneously.
• Skilled communicator who can present insights in a clear, engaging, and persuasive way to drive alignment across cross-functional teams.

• Experience in B2B or SaaS environments, particularly with complex, data-rich products.
• Experience in strategic research for AI-powered products.
• Familiarity with enterprise domains such as financial planning, forecasting, or decision-making tools.
• Background in Human-Computer Interaction, Psychology, or a related field.

An overview of this role

GitLab is looking for a Product Design Manager to join the Plan & Analytics stage. As a design leader, you own the delivery of UX commitments, are always looking to improve productivity, and are responsible for the user experience in the product. While you are credible as a designer and know the details of what product designers work on, your time is spent hiring a world-class team and putting them in the best position to succeed.

This is an incredibly exciting time to join the Plan & Analytics stages - Working in GitLab's Plan space sits at the most human and strategic layer of the software development lifecycle — where ideas, priorities, and intentions are formed — making it the perfect frontier to explore how AI can augment not just execution, but thinking itself. As AI accelerates the speed at which code is written and shipped, the Plan space becomes even more critical, because the bottleneck is rapidly shifting from "how fast can we build?" to "how clearly can we define what to build and why?" This creates a rare opportunity to reimagine how teams collaborate, how requirements evolve, and how AI can transform a traditionally manual, document-heavy process into a dynamic, intelligent system that connects strategy directly to delivery.

You'll be working closely with the Product Management and Engineering teams to execute on the product roadmap and priorities.

Some examples of our projects: 

• Work Items
• Saved Views
• Software Factory

What you’ll do  

• Proactively identify large, strategic UX opportunities that span both inside your areas and across the product. Work with other product design managers, staff, and principal product designers to drive cross-product initiatives through awareness and prioritization.
• Identify strategic user research initiatives that span multiple stage groups (and possibly the entire product), and work with other product design/research managers to organize research efforts.
• Be a frequent and active participant in milestones by reviewing UX deliverables (such as research and designs) that your team creates, and provide feedback to ensure high-quality output.
• Communicate the value of UX to cross-functional GitLab team members and work with them to leverage the product development flow. 
• Help the product teams of areas you support to prioritize UX initiatives including Deferred UX, triage and resolution of UX bugs, and overall usability improvements to the product. Lead UX Scorecard initiatives in order to consistently measure the experience of your product areas and show improvements over time.
• Contribute to product direction conversations, with emphasis on leading the experience vision for your product areas.
• Hire, grow and retain a world-class team of Designers.

What you’ll bring 

• Experience managing a group of designers remotely, who work on complex products.
• Deep experience building AI experience for the software development lifecycle.
• Deep experience designing for large-scale enterprise platforms.
• Experience defining/executing on the high-level strategy (the why) and creating design deliverables (the how) based on research.
• Experience driving organizational change with cross-functional stakeholders, including Product Management and Engineering.
• Solid visual awareness with understanding of basic design principles and accessibility.
• You share our values, and work in accordance with those values.
• You possess leadership qualities needed to thrive at Gitlab.
• Ability to use GitLab.

About the team

You will work closely with three designers. You will collaborate with the Group Product Manager, Engineering Director and UX Researcher to improve team communication and maintain excitement about the opportunities ahead. You can learn more about what our teams are working on by visiting our direction page:

• Plan

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation. We build and deploy cutting-edge systems within one of the world’s most advanced computing environments to power our global trading operations. Our non-siloed, collaborative coding environment empowers talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve the most complex problems in trading alongside many of the brightest minds in the field.

We are seeking highly motivated and skilled Research Engineers who will work very closely with our Algo Developer (Quant Research) trading teams. These roles require exceptional programming fundamentals, a strong user focus, and the ability to thrive in a fast-paced environment with constantly evolving requirements. Multitasking and context switching are inherent aspects of this role, through which you will gain insight into the ideation and execution of some of the world's most sophisticated trading strategies.  

Research Engineers at HRT work on a wide variety of projects. Examples include:

• Designing highly customized quantitative systems that enable Algo Developers to easily express and backtest new predictive signals.
• Building world-class research tooling to speed up Algo Developers’ research iteration.
• Aiding the development and deployment of very large deep learning models for HRT’s live trading.
• Improving HRT’s monetization systems which turn our predictions into profitable trades.
• Evaluating sim vs. live differences to improve the fidelity of our simulations.
• Building systems to monitor and manage live trading.
• Specializing in specific time horizons, from high frequency trading to mid-to-low frequency hedge fund-style strategies.
• Working across a very wide variety of asset classes (from equities to fixed income to options) and regions (from North America to Asia Pacific) – you’ll interact with markets across the world!

Responsibilities

• Design, develop, and maintain robust, performant, and scalable software systems.
• Optimize existing codebases for performance, reliability, and efficiency.
• Debug complex issues across distributed systems in a time-sensitive environment.
• Optimize both the mechanics and ergonomics of Algo Developer research workflows; this requires developing a deep intuition for research methodologies.
• Balance the short term goals of individual trading teams with the longer term goals of HRT’s generalized trading platforms across trading teams. Because we don’t work in a pod environment, REs on different trading teams are expected to share technology and ideas.

Qualifications

• Completed a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. If you are currently pursuing your Bachelor's degree, please apply to our Campus/New Grad opportunities.
• Previous experience at a top-tier finance or technology company with an excellent track record of rapid advancement and superlative reviews.
• Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms.
• Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)
• Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles, proficiency in one of these languages will be assessed during the interview process.
• Kindness and empathy is a real requirement. No “smart jerks” at HRT. 
• Strong understanding of data structures, algorithms, and design principles.
• Excellent communication skills, both written and verbal.
• HRT ships every day. The ability to thoughtfully, methodically, and reliably deploy new software and features is a critical skill. 
• If you have management experience, that’s always a bonus – but even so, expect to code!

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

For more info about interviewing at HRT, see this blog!

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development team. Algorithm Developers are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models. 

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Profile

• You’re excited to apply your research expertise to identify new opportunities in worldwide markets  
• You enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently
• You are a critical thinker who can learn and implement new skills in a fast-changing environment

Qualifications

• You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2026
• Fluency in Python
• Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB
• Brilliant analytical and problem-solving skills
• Ability to work creatively and independently on long-term technical problems

The estimated base salary for this position is 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts.

Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

Qualifications

• Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc.
• Experience translating methods between areas of application is highly valued.
• LLM experience is valuable, but not necessary.
• Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

About the role

We're looking for a Senior UX Researcher who brings rigour and curiosity to both product and marketing research. Someone who's as comfortable running foundational product studies as they are digging into brand perception, buyer mindsets, or how a marketing site actually works for the people using it.

This is strategic, high-visibility work — you'll partner with Product Design, Product Management, Brand, and Marketing to shape what we build and how we tell the world about it.

What makes this role unique:

• Work across both brand and product research, with real influence on each
• Research enterprise developer tools and DevOps workflows — including AI-powered features built for developers
• Fast-paced environment where research directly influences design and business decisions
• Be part of a team of talented, experienced researchers who genuinely invest in each other's growth

What you'll do

• Lead foundational, problem validation, and strategic research projects across your assigned product areas and beyond
• Drive both brand and product research — including buyer persona development, brand perception studies, and digital experience research — that directly informs positioning and messaging
• Be the expert on the users within your area of coverage: their behaviours, pain points, workflows, and goals
• Make connections across research initiatives, surfacing macro insights that no single study could reveal on its own
• Build trusted relationships with Product Design, Product Management, Brand, and Marketing counterparts, guiding them to the right research approach
• Advocate for and socialise actionable insights in a clear and compelling way that increases empathy across the organisation
• Independently drive research prioritisation across stage groups, balancing impact, product direction, and company objectives
• Mentor other researchers and actively shape how the Experience Research team works, through process iteration, documentation, and peer reviews

What you'll bring

• Empathetic, curious and open-minded
• Deep mixed-methods research experience across qualitative and quantitative methods
• A track record in both product research and marketing or brand research
• The ability to guide stakeholders — including senior ones — toward the right approach, even when they arrive with a firm opinion
• Strong instincts for prioritisation across multiple stakeholder groups in a fast-moving environment
• Clear, compelling communication that makes findings land with product, brand, and marketing audiences
• Experience working in a highly iterative, fast-paced environment, with the ability to pivot with sudden changes in direction
• Demonstrated ability to work effectively in a fully remote, globally distributed team — with strong async communication habits
• Self-motivated and self-managing, with strong organisational skills
• Ability to ramp up to a highly technical domain quickly
• Share our values, and work in accordance with those values
• Able to conduct research in a fully remote setting and use GitLab as part of your daily workflow
• Experience working on AI products, particularly for enterprise dev tooling, is a plus
• Experience working on enterprise and/or developer tooling products is a plus

We seek a systematic commodities PM/quant strategist with experience building and operating systematic fundamental commodiites trading strategies to join our Investment Management & Research (IMR) group. You will work as part of a collaborative quant group structure in which you will leverage significant technology and process resources provided by internal teams in order to deliver your strategies.

Responsibilities:

• Developing and operating scalable systematic trading strategies in specific commodities markets (eg energies, metals, agriculturals)
• Working with quant researchers and other PMs/strats to enhance your strategy and contribute to others
• Liaising with technology and data teams to build infrastructure required for your trading
• Overseeing the operation of trading strategies with regard to trading activity, positions and performance

What We're Looking For:

• Previous experience and/or trading track record in systematic commodities trading
• Excellent knowledge of commodity markets fundamentals, supply/demand modelling and associated data sets
• Technical skills in data analysis, Python programming and understanding of instrument mechanics
•  Leadership and communication skills to operate in a collaborative environment and drive changes required for your strategy

What We Offer:

• World-class infrastructure for developing and operating systematic trading strategies
• An exceptional opportunity to learn from others and have a broad impact

We seek a quantitative researcher to join our Investment Management & Research group. As part of a collaborative quant team, you will partner with portfolio managers, researchers and technologists to implement and operate our core systematic macro strategies.

Your responsibilities will include:

• Researching and backtesting systematic macro trading signals
• Developing and operating trading strategies across a wide range of markets
• Partnering with data engineering and technology teams to build and improve infrastructure

What we are looking for:

• Previous experience (2+ years) working in a systematic macro trading environment, preferably as part of an established quant group trading futures, forwards and related markets
• Data analysis and coding experience (preferably Python/pandas/numpy)
• Strong communication skills with the motivation to work in a large collaborative investment group structure

About the Role

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses or data lake, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

We’re looking for a Pricing Product Marketing Manager to join Fivetran’s Product + Portfolio Marketing team.

Pricing is one of the most important strategic levers at Fivetran. This role will help translate our pricing and monetization direction into effective go-to-market execution, clear customer-facing value narratives, and strong internal enablement. You will partner closely with Product, Sales, Marketing, Enablement, Legal, and Leadership to support pricing-related launches, research market perception, and improve how we communicate value to the market.

This role is a highly cross-functional position for someone who can turn pricing decisions into effective rollout plans, compelling messaging, actionable insights, and stronger customer sentiment. You will help Fivetran better understand how pricing is perceived, where friction exists, and how to improve value communication across the buyer journey.

The right person is equal parts storyteller, researcher, and operator: someone who can bring structure to ambiguous problems, influence cross-functional partners, and make complex pricing concepts easier for customers and internal teams to understand.

This is a full-time position based out of our London office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Lead pricing and monetization go-to-market execution: Partner with Product, Legal, and leadership to support the rollout of pricing and packaging changes across new products, features, and platform capabilities. Build launch plans, messaging, internal communications, and GTM enablement and materials that ensure pricing changes are clearly understood internally and externally. Help drive cross-functional alignment across Sales, Marketing, and Enablement. Support pricing experiments and help evaluate how customers respond to different monetization approaches.
• Own pricing and value messaging: Develop differentiated, value-based messaging for Fivetran’s pricing and platform value. Translate pricing into clear, customer-relevant narratives that connect product investment to business outcomes. Tailor messaging by persona, segment, and stage of the buyer journey, from awareness through evaluation, purchase, and expansion. Improve how Fivetran communicates price, value, and return on investment in the market.
• Improve value and pricing sentiment: Identify the drivers of pricing perception in the market and recommend ways to improve customer understanding and confidence. Partner with Demand Generation, Content, and campaigns teams to activate stronger value messaging across key channels like AEO/SEO. Support the development of customer stories, benchmark content, sales narratives, and market-facing assets that reinforce Fivetran’s value.
• Drive research and insight generation: Conduct ongoing research into customer perception, willingness to pay, buying behavior, and competitive pricing narratives in partnership with product and the Office of Research. Gather and synthesize insights from win/loss analysis, seller feedback, customer calls, analyst conversations, usage trends, deal data, and billing data. Formulate clear recommendations to improve messaging, launches, and monetization outcomes.
• Enable internal teams: Serve as a go-to resource for pricing and value communication across GTM teams. Equip Sales and customer-facing teams with the messaging, talk tracks, decks, FAQs, and objection-handling materials they need to sell value effectively. Design, build and deliver content and materials to support Sales and Marketing teams. Increase internal clarity and confidence around how pricing works, why it exists, and how to discuss it with customers.

Skills We're Looking For

• ​​4–7 years of experience in product marketing, product strategy, product management, monetization, sales strategy, or a related go-to-market role at a B2B SaaS company
• Experience supporting pricing, packaging, monetization, or value messaging initiatives in a cross-functional environment
• Strong product marketing fundamentals, including positioning, messaging, launches, enablement, and market research
• Ability to translate complex pricing concepts into simple, credible, customer-facing narratives
• Strong understanding of enterprise and commercial sales motions, including how pricing conversations show up across new business and expansion
• Experience partnering closely with Product, Sales, Marketing, Enablement, Analytics, and executive stakeholders
• Strong analytical skills and comfort using qualitative and quantitative inputs to inform recommendations
• Excellent written and verbal communication skills
• Strong project management skills and the ability to drive clarity across multiple stakeholders and workstreams
• Familiarity with the modern data ecosystem, including data integration, cloud data warehouses, data lakes, analytics, and AI-driven use cases, is a plus

#LI-NR1
#LI-HYBRID

ABOUT WORLDQUANT BRAIN

worldquantbrain.com

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm.

THE ROLE:

WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant.

Research

• Create and develop Alphas and other utilization algorithms on BRAIN
• Conduct research on academic quantitative finance literature
• Identify and design new research domains. Generate ideas to grow the domain

Platform development

• Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team
• Design and test new functionalities and datasets on the BRAIN platform.

Business Development and Consultant Engagement

• Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance & implement BRAIN business strategy for user and consultant acquisition
• Conduct training sessions for BRAIN users and consultants
• Prepare and update training curriculum of BRAIN

WHAT YOU’LL BRING:

• Familiarity and competence in using BRAIN. Applicants expected to have Consultant status on the BRAIN Platform - worldquantbrain.com
• Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university
• Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred
• Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges
• Have a strong interest in learning about worldwide financial markets
• Possess good communication and presentation skills in English

Position based in London. Visit https://www.worldquant.com/brain/ for more information about WorldQuant Brain.

EXCEL SEARCH & ADVISORY is the world’s largest and leading retained executive search firm wholly dedicated to sports, media, and entertainment. Our Consultants have completed more than 1,500+ Executive Searches over their careers for teams, governing bodies, associations, ownership groups, media and entertainment businesses, and major consumer brands.

Position Summary: Excel Search & Advisory is seeking a talented and ambitious Graduate Researcher to join our London team. This is an exciting opportunity to launch your career at the intersection of sports, media and executive search - working alongside experienced consultants to identify and engage world-class leaders for some of the most prominent organisations in sport and entertainment.

Essential Duties and Responsibilities:

Research & Candidate Identification

• Conduct thorough market mapping and desk-based research to identify high-calibre candidates globally across sports, media and entertainment.
• Develop and maintain comprehensive longlists for active search assignments, utilising databases, LinkedIn, industry publications and proprietary networks.
• Assess candidate profiles against client briefs and produce clear written summaries for consultants.
• Support consultants in approaching and engaging prospective candidates with professionalism and discretion.

Project & Document Management

• Assist in the preparation of client-facing documents including position specifications, research updates, longlist and shortlist reports.
• Manage multiple research projects simultaneously, maintaining accuracy and meeting deadlines.
• Maintain and update the firm's CRM with current and relevant candidate information.

Sector Knowledge & Business Development

• Develop a strong understanding of the sports and entertainment landscape - clubs, leagues, governing bodies, media organisations and agencies.
• Monitor industry news, leadership movements and emerging trends to inform ongoing research.
• Contribute to business development activity including thought leadership and sector events.

Team & Culture

• Work closely with consultants and fellow researchers to support assignment delivery.
• Contribute positively to team knowledge sharing and continuous improvement.
• Participate in training sessions, feedback reviews and knowledge management workshops.

Education & Experience:

• Degree-level qualification (any discipline) or equivalent professional experience.
• Genuine passion for sport and/or the sports business industry.
• Excellent written and verbal communication skills - clear, professional and precise.
• Strong research and analytical skills with sharp attention to detail.
• Proactive and self-motivated - able to manage multiple tasks in a dynamic environment.
• Strong interpersonal skills and the confidence to engage professionals at all levels.
• High levels of discretion, professionalism and personal integrity.
• Proficiency in Microsoft Office and comfort with digital research tools.

Knowledge, Skills and Abilities:

• Knowledge of or experience working within sports, media or entertainment.
• Exposure to CRM or database management tools.
• Additional language skills.

This position is eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.

To learn more about our team and office culture in England (UK), visit the following links. 
Careers Page: https://www.knowbe4.com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/uk/

The Jr. Cybersecurity Threat Researcher works in the KnowBe4 Threat Research Lab, and is responsible for deploying and configuring various security products and solutions such as endpoint, email, web and network protection.

Responsibilities:

• Assisting in deploying and maintaining cybersecurity products in lab settings.
• Supporting inventory management of licenses and updates.
• Collaborating with team members on cybersecurity projects.
• Reviewing, understanding and reverse engineering attacks and technologies.
• Proactively interact and communicate with internal and external stakeholders to drive tactical and strategic direction.
• Assisting and empowering Sales, Marketing, Product and Engineering with the latest cyber threats and your expertise.

Requirements:

• BS in Computer Science, Cybersecurity, or related field.
• Internship experience or up to 1 year of experience in cybersecurity preferred.
• Basic understanding of IOCs and threat analysis.
• Familiarity with scripting for task automation.
• Detail oriented individual that enjoys the challenge of a fast-paced environment.
• Well versed with IOCs, reverse engineering and threat campaign tracking
• Experience in malicious URL and phishing email analysis
• Python enabled for scripting automations for handling huge volumes of threat artifacts like files, emails, URLs

To learn more about our team and office culture in England (UK), visit the following links. 
Careers Page: https://www.knowbe4.com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/uk/

The Cybersecurity Threat Researcher works in the KnowBe4 Threat Research Lab, and is responsible for deploying and configuring various security products and solutions such as endpoint, email, web and network protection.

Responsibilities:

• Analysing trends and patterns in large data-sets to establish threat trends across regions, industries and business segment sizes.
• Have a passion for cyber security and thrive on solving difficult and complex problems.
• Have a genuine interest in mitigating phishing attacks and be familiar with recent vulnerabilities in our space. Investigate phishing emails and have an understanding of Malware Analysis (Configuration of isolated Malware Analysis VM, Identification of File Formats, Basic Static & Dynamic analysis)
•  Enjoy sharing their knowledge and working with team members and external stakeholders.
• An understanding and experience with Threat Actor Tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs)
• Triage, investigate, and respond to alerts coming in from the Knowbe4 email platform efficiently and without support.
• Contribute regularly to external-facing Knowbe4 Threat Labs content such as blogs.

Requirements:

• BS or equivalent plus 3 years experience
• MS or equivalent plus 1 year experience
• Well versed with IOCs, reverse engineering and threat campaign tracking
• Experience in malicious URL and phishing Email analysis
• Script enabled for scripting automations (Python) for handling huge volumes of threat artifacts like files, emails, URLs etc
• Experience with public speaking and triaging complex customer queries.

SUMMARY

We're looking for a talented AI Security Researcher to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.

WHAT YOU’LL DO

• Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems. 
• Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
• Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
• Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.

WHAT YOU’LL BRING

• 5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.).
• Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry. 
• Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact.
• Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g Product, Engineering, Marketing) to achieve shared goals.

ADVANTAGE

• Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise. 
• Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
• Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

SUMMARY

We're looking for a talented AI Security Researcher to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.

WHAT YOU’LL DO

• Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems. 
• Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
• Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
• Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.

WHAT YOU’LL BRING

• 5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.).
• Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry. 
• Proven ability to work independently, prioritize effectively, and drive complex, multi-quarter research projects from initial concept through to clear, delivered impact.
• Excellent written and verbal communication skills, with a track record of successfully collaborating with cross-functional teams (e.g Product, Engineering, Marketing) to achieve shared goals.

ADVANTAGE

• Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise. 
• Experience in public-facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
• Experience conducting data-driven research and working with large-scale security telemetry to derive statistically significant or high-impact findings.

By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz.

About the Team

Research isn't an afterthought at Nothing—it's baked into how we build. Our Research team sits right at the heart of product development, working directly with Product, Engineering, Design, and Marketing to turn assumptions into evidence. We validate everything: from core software features to hardware performance to how the entire product experience lands in users' hands. We're solving three hard problems right now: understanding how hardware and software work together in the real world, turning messy datasets into insights that actually change how we build, and scaling our validation engine so fast-moving teams can stay grounded in data without waiting weeks for answers.

What You'll Do

• Execute, analyse and automate statistically rigorous pre- and post-launch research that delivers granular insights per product and per function, shaping the next generation of our products.
• Translate complex datasets into clear, evidence-based narratives that inform critical product and business decisions—turning numbers into stories people actually act on.
• Build interactive dashboards that allow stakeholders to explore, compare and filter data independently, reducing reliance on research bottlenecks.
• Run product validation and lifecycle research across our portfolio, blending quantitative rigour with qualitative methods (interviews, usability testing, in-person sessions) to provide context behind the numbers.
• Use SQL fluently to extract, manipulate and analyse data, alongside other analytical languages or tools where relevant.
• Collaborate with Product Managers, engineers, designers and marketing teams to plan, execute and scale research initiatives across a fast-moving product environment.
• Embed research thinking within product teams, promoting data-driven decision-making across the organisation.

What We're Looking For

• Comfort operating in fast-moving product environments where priorities shift and speed matters—you thrive in scrappy, evolving teams rather than rigid processes.
• Ownership mentality: you design research from hypothesis through insight delivery, taking end-to-end responsibility without needing to be prompted or managed.
• Experience combining quantitative and qualitative research methods, understanding when to dig into stats and when to sit down with real users.
• Solid grounding in quantitative product research, statistical thinking, and high proficiency in SQL—you're comfortable in spreadsheets and databases.
• Strong data visualisation skills (Looker Studio, Whatagraph or similar) paired with excellent communication and storytelling—you make complex findings clear and compelling.
• Pragmatism: you know when a quick study beats perfect analysis, and you're not afraid to iterate or challenge assumptions if the evidence points elsewhere.
• A track record in consumer software, mobile or electronic products; startup or scale-up environments; or fields like HCI, Psychology, Cognitive Science, or Sociology—any background that's taught you how people actually use things.

Why Nothing

You'll have direct influence on products used by millions. Research here isn't a support function—it shapes roadmaps, kills bad ideas early, and gives teams the clarity to move fast. You'll work with people who care deeply about evidence and quality, and you'll have the autonomy to own your work from start to finish. We move quickly because we're small and independent, which means your insights land faster and you'll see the impact of your work reflected in shipping products. If you're energised by the intersection of rigorous research and real-world product iteration, and you want to grow your craft in a company that genuinely listens to data, this is the role.

How We Work

We build better tech by moving fast. That speed demands direct collaboration and shared creative energy. We believe the best work happens when we're together. 

• Location: London (Kings Cross & Farringdon offices). 
• Working Pattern: This is a full-time, in-office role (5 days a week). We move fast, and that means being physically present. We offer flexibility around personal needs, but we focus on the magic that sparks when we’re all in the same room. 

About the position

We’re looking for smart and curious individuals from industry and academia to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. 

Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About you

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks 
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes  and learn new things
• Fluency in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the position

We’re looking for smart and curious individuals to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. 

At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About you

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks 
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes  and learn new things
• Fluency in English

If you’d like to learn more, you can read about our interview process and meet some of the team.

About the Position

We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach.

At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. We work with petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes and learn new things
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

Most candidates will have experience with data science or machine learning, though your approach to problem-solving and capacity to learn will weigh just as heavily as your existing expertise. Having a PhD or other research experience is a plus.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets.

At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production.

We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. You should be:

• Able to apply logical and mathematical thinking to all kinds of problems
• Intellectually curious; eager to ask questions, admit mistakes, and learn new things 
• A strong programmer who’s comfortable with Python
• An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas of expertise
• Fluent in English

Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn, than what you currently know. PhD or other research experience is a plus.

If you’d like to learn more, you can read about our interview process and meet some of the team.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking to hire a strongly motivated individual who is excited to work in a fast paced, collaborative environment. We are looking for someone who wants to work on applied research on our weather team, embedded within the commodities trading desk. We invite graduate students nearing graduation, both early career and experienced academics, and industry professionals to apply. 

About You

• Masters degree (minimum) in Atmospheric Science or related field
• Must be a strong programmer, with excellent python skills for data analysis
• Expertise in relevant topics such as: sub-seasonal predictability, data assimilation and numerical weather prediction, tropical variability, synoptic meteorology, renewable energy forecasting
• Experience using gridded data, observational data and satellite data to drive quantitative research in academia or industry
• Experience with AI models preferred
• Have good taste in research. The problems you will work on will aim to challenge the limits of atmospheric predictability. You should be comfortable pushing in new and unknown directions while maintaining clarity of purpose
• Think and communicate precisely and openly. We believe great solutions come from the interaction between diverse groups of people across the firm
• Fluency in English required 

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com

The Role

We are seeking an exceptionally talented individual to join our Cross-Asset Derivatives Risk Management team as a Risk Manager. This role will focus on risk management and portfolio oversight of the firm’s Equity Derivatives, Macro EM and Delta One strategies, which include Equity vol, Fixed Income, Index Rebalance & Special situations strategies amongst others.

What you’ll do 

As a Risk Manager, you will:

• Report to the Head of Cross-Asset Derivatives Risk and partner daily with Portfolio Managers, Strats, and developers to monitor portfolios and design solutions that reduce concentration and stress risks.
• Build, implement and validate models that power both risk management and the investment process.
• Partner with our Technology organisation to enhance data infrastructure, automate risk-limit monitoring and streamline raw-data ingestion.
• Work with Portfolio Managers, providing regular and ad-hoc analytics on strategy performance, risk profiles and tail-risk scenarios.
• Collaborate with strategy COO, fellow risk managers and tech teams to build and maintain the modelling, pricing and analytics toolkit that powers our multi-strategy platform.

What you’ll bring
What you need:

• A minimum of 5 years’ relevant experience in a PM-facing role
• Strong knowledge of equity derivatives and portfolio risk management
• Knowledge of quantitative finance including risk-neutral options pricing and cross-sectional factor models
• Experience analyzing and modeling large data sets
• Strong coding skills in one or more languages such as R, Python or C++
• Experience working with relational databases such as MySQL
• Strong communication skills

We’d love if you had:

• Direct experience in Macro, Delta one and Equity Derivatives Strategy

Who we are

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

#LI-DK1

The Role

We are seeking an exceptionally talented individual to join our DMFI Quant team as a quant researcher. Our mission is to deliver real-time and high-quality risk and analytical tools to support our Portfolio Management teams in their decision-making process. This role is your chance to be a key contributor in the development of our cross-asset analytics platform.

What you’ll do

Working in the Quantitative Research Rates analytics team, you will be in charge of modelling, implementing and maintaining all aspects of our interest-rates volatility analytics framework. The ideal candidate will have:

• An interest in continuous improvement and learning
• High level of attention to detail
• Strong sense of ownership
• Proven ability to think outside the box

What you’ll bring

• At minimum, 5+ years in a compiled language (C++, C#, Rust…) and Python development experience
• A deep technical knowledge of flow rates option derivative products and their modelling aspects (swaptions, bond future options, stir options, CMS spread options…)
• Excellent algorithmic knowledge
• Track record of delivering projects from start to finish
• Excellent communication skills, both written and verbal
• Great problem solver

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $225,000 and $275,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

#LI-DK1

The Role 

We are seeking a highly qualified and talented Data Sourcing and Strategy Analyst to join our Data Sourcing team within the Enterprise Data group at Schonfeld. The Data Sourcing team is responsible for sourcing new datasets for portfolio management teams to use in the investment process, providing data-related subject matter expertise to teams and managing relationships with data providers. The group supports Schonfeld’s quantitative, fundamental, tactical, and macro portfolio managers in identifying and managing datasets across multiple asset classes and regions.                                                                                                 

What you’ll do 

The Data Sourcing and Strategy Analyst is responsible for critical functions including discovery of new data sets, understanding alpha opportunities within them, and working with portfolio management teams to drive data adoption.  

Responsibilities will include:

• Identification, evaluation & due diligence of new datasets based on their potential value for creating investment insights
• Delivery of research findings to investment teams, portfolio managers, and other internal clients
• Leverage existing vendor relationships and develop new relationships to ensure Schonfeld maintains a competitive edge in data sourcing
• Engage with sell-side to assist with data sourcing and management of alpha capture program

What you’ll bring

What you need:

• 2-4 years of data or capital markets experience
• Familiarity with different types of data and how they are used by investment professionals
• Experience engaging with clients and managing relationships, ideally with investment professionals
• A mind for efficiency and a desire to optimize processes
• Strong presentation and communication skills

We’d love if you had:

• Experience with fixed income, currencies, commodities or delta one products
• Hands-on working experience with varied and complex data sets and an interest in engaging with them via programming languages or AI tools
• Familiarity with both fundamental and systematic investment processes
• Self-starter with an entrepreneurial mindset and a deep intellectual curiosity
• Process-oriented with ability to manage multiple projects simultaneously

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

#LI-TJ1

The Role

Exciting career opportunities are on the horizon! Schonfeld will open a wide range of roles across many offices and many departments this August for the Class of 2027. Whether your passion lies in investing, technology, data, operations, or corporate functions, you’ll find dynamic positions that let you make an immediate impact and grow alongside our world-class team. Keep an eye on our careers page and be ready to apply when postings go live—you won’t want to miss the chance to build your future with us.

Our Internship

Kick-start your career in finance with the Schonfeld Internship! Over the course of 12-16 action-packed weeks, you will have the opportunity to build solutions that tackle real-world challenges and leave a lasting impact on the firm. As an intern, you’ll join a close-knit team that is ready to support your growth and accelerate your career. We will pair you with a dedicated manager and a mentor who’ll guide your development over the course of the internship and beyond. Throughout the program, you will have the chance to connect with senior leaders through a series of learning sessions, attend hands-on skills workshops, network at social events and get a behind-the-scenes look at how various functions power the firm. We’ll empower you to bring your ideas to life and make an impact.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture 

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The annual base pay for these role is expected to be between $45,000 and $150,00 which will be prorated based on internship role,  start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.

In Superbet, the Quant team is responsible for developing the models and tools required for trading a wide range of sports. We aim to provide the best betting experience to our current customers and those we will acquire during our expansion across the globe. This will mean producing prices for the full range of markets that our customers expect, same-game accumulators, 100% betting availability, and 100% cash out. We see the Quant team as a major driver within this process and want to talk to people who believe they could help us become one of the leading betting brands worldwide.

As a Senior Quant, we would like you to play a big role in driving this process. Use your industry experience to produce Player Prop prices, solve the related contingencies required for same-game accumulators, maximise uptime and bring ideas about products and best-in-class modelling methodologies with you.

We are looking for someone who:

• Has experience delivering in-house models within the betting industry
• Can help us produce market-leading bet builder / same game acca solutions across multiple sports
• Would like to guide proprietary modelling of non-core markets
• Has experience dealing with large data sets and feeds
• Wants to become a key part of a fast-growing Quant team and company
• Has excellent communication skills, able to understand and translate complex technical information to others
• Feels comfortable collaborating with various teams
• Has a strong work ethic with a drive for completing high-quality work

Bonus points if you have:

• Experience in American Sports modelling
• Bet Builder / Same game accumulator modelling
• Experience in eSports modelling
• Golang experience

What you'll be doing:

• Develop mathematical and statistical models which will price the core and derivative markets for those Sports
• Produce related contingency modelling solutions
• Provide performance analysis through backtesting and optimizing model output
• Collect and analyse market data in order to aid model development
• Create and price new products to supplement existing markets/sports
• Build trader tooling in order to maximize the efficiency of the trading operation
• Collaborate with engineering resources to enable seamless integration of any provided solutions

We're building out a trading initiative in London, with a growing focus on listed commodities options. This expansion is supported by a mix of internal talent and experienced external hires. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to help shape and scale a new desk from an early stage.

The group combines deep expertise with broad trading experience and values innovation, ownership, and cross-functional collaboration. As the desk continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success.

Your Core Responsibilities:

• Own fundamental and news analysis, delivering morning market updates, weekly wraps, and previews of key upcoming catalysts for energy markets.
• Work directly with traders and quants to identify and capitalize on short-term dislocations and longer-term macro opportunities in energy markets.
• Develop and refine data-driven models to forecast supply, demand, price, and volatility movements.
• Deliver real-time market insights on geopolitical risks, inventory trends, refinery margins, and systematic flows.
• Work directly with traders and quant teams to translate fundamental views into actionable trading strategies.
• Build and maintain high-quality datasets to enhance market understanding and improve decision-making.
• Take ownership and initiative to drive research and trading strategy development.

Your Skills and Experience:

• Education in Economics, Finance, or a related Engineering field
• 3+ years of experience in energy markets and macro analysis, trading or research.
• Familiarity with options pricing models and volatility dynamics
• Strong understanding of physical and derivatives markets, including supply chains, refinery economics, and hedging flows.
• Entrepreneurial mindset with a passion for market structure, trading flows, and price discovery.
• Proficient in Python, R, or SQL for data analysis and model development.
• Ability to communicate complex insights clearly and concisely in a fast-paced trading environment.

Super Technologies is offering an exciting Erasmus+ traineeship programme based in either London or Madrid. This is a unique opportunity to gain hands-on experience in a fast-paced, international environment while contributing to impactful business projects. We are looking for motivated, curious, and driven individuals who are eager to develop their skills and gain real-world experience aligned with their career goals.

Areas of Impact:

Applicants are encouraged to indicate their preferred department based on their interests and career aspirations. Current opportunities include:

International Market Expansion
Support our global growth strategy by conducting market research, building financial business cases, and evaluating strategic expansion opportunities.

Sports Quant
Work at the intersection of sports and quantitative analysis. Use programming languages such as Python, R, or Matlab to analyse data and develop predictive models.

Data & Insights
Play a key role in driving data-led decision-making. Build data pipelines, create dashboards, and transform complex datasets into actionable business insights.

Please note: Final placement will be determined based on both your profile and business needs.

What you'll be doing:

• Collaborate with cross-functional teams on real business projects
• Conduct research, analysis, and problem-solving within your chosen area
• Contribute to ongoing strategic initiatives
• Present findings and insights to stakeholders
• Continuously learn and apply new tools, techniques, and methodologies

What we are looking for:

• Currently enrolled in a relevant university programme eligible for Erasmus+
• Strong academic background aligned with your chosen department
• Excellent communication and collaboration skills
• Proactive mindset with a willingness to learn
• For Data & Insights: preference for candidates with technical backgrounds (e.g. engineering, computer science, statistics, or similar)

Application Process

• Submit an updated CV
• Provide a short motivation letter
• Include any additional documents required by your university

Shortlisted candidates will be invited to interview and discuss potential department placement.

Programme Structure

This is a structured three-month traineeship combining:

• On-the-job experience
• Formal training
• Ongoing mentorship and feedback

At the end of the programme, trainees will present their work and key learnings to the team.

Future Opportunities

Successful trainees may be considered for long-term career opportunities within Super Technologies.

Why Join Us?

• Gain hands-on experience in a dynamic, international business
• Work on meaningful, high-impact projects
• Develop both technical and professional skills
• Receive mentorship from experienced professionals
• Build a strong foundation for your future career

Join Heartflow’s world-class Research team as a Collaborating Research Scientist with a joint visiting researcher appointment in Professor Ben Glocker’s lab at Imperial College London. This position focuses on advancing state-of-the-art Generative AI technologies for Coronary Computed Tomography Angiography (CCTA). In this role, you will work on cutting edge academic research, IP generation and high-impact publications while ensuring that technical breakthroughs can be translated into Heartflow’s product-grade models.

At Imperial College: You will be an active member of one of the world’s leading medical imaging labs, participating in seminars, collaborating with academics, and engaging in the vibrant Imperial ecosystem in South Kensington.

At Heartflow: You will be a key stakeholder in our research roadmap, with access to massive, proprietary datasets that are unavailable to pure academic labs, with the opportunity for translation of your work into medical devices with global impact.

Key Responsibilities:

• Design and implement state-of-the-art generative architectures to synthesize high-fidelity, anatomically accurate CCTA image data.
• Publish and present at top-tier venues (such as MICCAI, ICCV, CVPR, NeurIPS).
• Provide technical reports and reproducible code to enable the translation of research into products by Research team members and development teams.
• Identify and protect new IP for Heartflow in emerging AI domains.
• Educate people across groups and departments on generative AI.

Skills Needed:

• Proven expertise in generative AI methods for computer vision or medical image analysis (diffusion models, flow matching, GANs, VAEs).
• Ability to clearly communicate complex ideas, tailoring content for diverse audiences.
• Experience developing generative AI systems with large-scale imaging datasets.
• Advanced proficiency in Python and PyTorch, with a commitment to writing clean, reproducible and scalable research code.
• A track record of first-author publications in top tier AI or medical imaging conferences. 

Desirable Skills:

• Experience in causal modeling, and/or conditional generative models.
• Experience in developing multimodal generative AI systems.
• Experience developing AI systems with sparse and/or noisy labels.
• Experience building deep learning models for 3D medical image data.

Educational Requirements & Work Experience:  

• A PhD degree in computer science, engineering, math or similar technical field. 
• Preferably 2+ years related experience, in industry or academia, with Generative AI in computer vision or medical image analysis. 

#LI-IB1 

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

Senior Software Engineer – AI-Enabled Engineering 

Mark43’s mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. 

Our platform is already trusted by major public safety agencies across North America—including Boston, D.C., Seattle, and the California Highway Patrol—and we’ve recently expanded into the UK with our first customer overseas. 

Now, we’re entering an exciting new chapter: Mark43 is building a next-generation AI-augmented engineering team. This is a foundational opportunity to help rethink how software is designed, developed, and delivered using intelligent agentic or related tools. 

What You’ll Do 

We’re looking for a Senior Software Engineer to help lead our AI-enabled engineering initiative. You’ll work at the frontier of AI and software development, experimenting with agentic workflows and shaping how AI tools are integrated into every layer of our engineering stack. 

This isn’t just about using AI to autocomplete code—it’s about designing and orchestrating systems of AI agents that can plan, write, review, test, and deploy software collaboratively. In essence, you’ll play a role akin to a tech lead for a team of intelligent coding agents. 

You will: 

• Design multi-agent systems with coding-focused agents (e.g., code writer, reviewer, tester, deployer) 

• Write the prompts, logic, and scaffolding that guide each agent’s behavior 

• Handle tool use, like enabling agents to access the file system, test runners, version control, and internal APIs 

• Evaluate and refine agents’ output, performance, collaboration patterns, and feedback loops 

If you were on the team last week, you might have: 

• Prototyped a new coding assistant workflow using open-source LLMs and internal knowledge bases 

• Led an architecture discussion on agentic build pipelines or automated PR generation 

• Collaborated with a cross-functional team to build a fast, AI-powered interface for internal tooling 

• Helped define the evaluation framework for AI contributions—accuracy, speed, and impact 

• Mentored a teammate on combining TypeScript and AI tools to accelerate UI prototyping 

• Explored best practices for safely and securely integrating generative AI into a public sector codebase 

What You’ll Need 

We’re looking for an experienced software engineer who is eager to build smarter systems by pairing technical expertise with emerging AI tools. You don’t need to be an AI researcher—but you do need hands-on experience applying generative AI tools to real-world development workflows. 

You should have: 

• 5+ years of professional software engineering experience 

• Proficiency with at least part of our stack: Java, TypeScript + React, and MySQL 

• Extensive applied experience with AI-assisted development tooling—whether it’s Cursor, Windsurf, LLM APIs, codegen platforms, vector databases, agentic frameworks like LangChain, or custom-built systems 

• A strong product mindset and interest in building for real-world impact 

• A bias toward experimentation, iteration, and continuous learning 

• Comfort operating in ambiguity and helping define best practices in a rapidly evolving space 

We’re flexible on which tools you’ve used—we care more about your ability to learn, adapt, and creatively apply AI in practical settings than checking a specific tech box.  

People Who Thrive on Our Team Also Tend to Be: 

• Humble, open, and curious. You ask questions and seek to understand before making assumptions 

• Collaborative by default. You believe the best outcomes come from shared knowledge and ownership 

• Mission-driven. You care about building tech that serves the public good 

• Comfortable with uncertainty. You’re energized by open problems and emerging technologies 

• Growth-oriented. You embrace feedback, learn from setbacks, and look for ways to get better every day 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar is on the lookout for a passionate Application Security Engineer who possess a passion for diving into complex software designs to identify security flaws and vulnerabilities.

This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Dundee, Scotland. 

WHAT WE DO

• The Rockstar Games Application Security team partners with numerous development teams across the company to incorporate security practices throughout the software development lifecycle.
• We strive to understand the threat landscape affecting our development studios, the gaming industry, and the world at large to define secure development standards and guidelines to safeguard our business and protect our players.
• We independently assess our application code and builds through various techniques (static analysis, dynamic analysis, software composition analysis, etc.) to identify potential vulnerabilities and design flaws and work with development teams to remediate.

RESPONSIBILITIES

• Track trends in the security community and stay abreast of emerging threats.
• Provide technical security guidance to developers, team leads and producers.
• Create and maintain threat models of applications and features to systematically understand how they can be attacked to prioritize control development.
• Conduct automated and manual security assessments of applications and services.
• Drive remediation efforts behind internally and publicly identified vulnerabilities.
• Support maintaining Rockstar Games’ public and private bug bounty programs.

REQUIREMENTS

• 3+ years of experience working in a professional, academic or research environment identifying and remediating security bugs/flaws.
• Strong knowledge of the principles and techniques for both manual and automated application security assessments of desktop and web applications.
• Good knowledge of common web security vulnerabilities (e.g., OWASP Top 10), attack techniques and remediation tactics/strategies.
• Good understanding of common low-level vulnerabilities (e.g. use-after-free and buffer overflows)and common mitigations.
• Good understanding of networking and web technologies (e.g. WebSockets, HTTPS, TCP/IP, UDP) and security controls relevant to them.
• Familiarity with Windows and Linux operating systems fundamentals.
• Familiarity with the software development lifecycle (SDLC) and working knowledge of components to secure the SLDC.
• Practical experience with client network traffic testing tools and techniques e.g., Burp Suite, Fiddler and Bruno.
• Proficiency in C#.
• Excellent communication skills.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• BSc/MSc in a computer science or related field.
• Background in reverse engineering and exploit research & development and relevant tools such as Ghidra, IDA, x64dbg and WinDbg.
• Experience with scripting and process automation. An understanding of effective practices for securing the SDLC that considers developer experience, sustainability and compliments release velocity.
• Experience with authentication protocols and extensions such as OAuth2 and OIDC.
• Experience in results-oriented, retail driven environment with strict deadlines and ship dates.
• Familiarity with bug bounty programs/responsible disclosure programs, either running one or as a researcher.
• Proficiency in C++ and JavaScript/TypeScript.

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-AH

Role Title: Risk Manager

Department: Risk

Office location: London

Department overview:

The Risk Team is made up of Risk Managers and Analysts based in London. The team is responsible for oversight and risk management of the Funds positions and work closely with other departments including Risk Quants, Technology and Product Control.

Role overview:

BlueCrest Capital Management require a London based Risk Manager to support its Global Rates Trading Business. Responsibilities include:

• Overseeing Portfolio Managers within the Rates Trading business.
• A key part of the role is to monitor and interact with Portfolio Managers, to ensure trading adheres to their mandate in terms of sizing and appropriateness.
• Help monitor, produce and design risk reports across various levels (e.g. Individual Portfolios, Desk, Fund level)
• Perform detailed analysis on risk/pnl drivers using the firm’s internal systems and data.
• A key part of the role is to monitor and interact with Portfolio Managers, to ensure trading adheres to their mandate in terms of sizing and appropriateness.
• Be able to provide an independent assessment of a PM’s portfolio, and present findings clearly to Management.
• The candidate is expected to be proactive in the development of risk tools by working with Technology & Quant teams.
• Mentor junior team members.

Experience required:

• Significant relevant experience gained in IB or buy side within Risk or Sales/Trading
• Strong knowledge and deep experience in Rates or Credit Markets.
• Modelling Knowledge (Fixed Income Products, Pricing, VaR)
• Technology/Programming skills (Python/ SQL/VBA) are desirable.
• Excellent analytical skills, along with the ability to communicate and present complex information effectively

About you:

• Strong interpersonal skills to be able to build relationships with PMs whilst also having the authority to question and challenge them regarding portfolio risk and construction.
• Ability to collaborate and work across global offices and teams.

BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.

As Senior UX Research Manager at Super, you will own and scale a high-impact research function that sits at the heart of every major product decision. This is not a purely strategic or administrative role - we are looking for a hands-on research leader who can manage and grow a large team while simultaneously being a credible, practicing researcher.

You will report to the Research Director and have a direct seat at the executive table, shaping product strategy through the voice of the user. You will be expected to leverage AI tooling to transform how research is conducted, synthesized, and actioned across the organisation. This role defines the future of UX Research at Super.

What You Will Own

Strategic Research Leadership

• Define and own the multi-year UX research strategy aligned to Super's product and business goals across sports betting, gaming, and payments verticals.
• Translate ambiguous business challenges into crisp research programmes that generate confident executive decisions - from market expansion and feature prioritisation to onboarding flows and live betting experiences.
• Build and maintain a research roadmap that balances generative discovery, evaluative testing, and longitudinal tracking at scale.
• Represent research at the executive and C-suite level, presenting insights that drive resource allocation, product pivots, and go-to-market strategy.

Large-Team Hands-On Management

• Directly manage and grow a team of 6-8 UX researchers across seniority levels (junior through staff), spanning qual, quant, and mixed-methods disciplines.
• Grow junior managers in both UX Research and Market Research
• Maintain a hands-on presence: you conduct research yourself, review screeners and discussion guides, and are present in sessions - not only in deck reviews.
• Build a culture of craft and rigor; personally mentor researchers on methodology selection, analysis quality, and storytelling.
• Own hiring, performance management, career development frameworks, and team structure - adapting org design as the team scales.
• Create psychological safety and high-output norms simultaneously: a team that ships great research fast and keeps raising the quality bar.

AI-Driven Research Operations

• Lead the transformation of Super's research workflows through AI: identify, pilot, and embed AI tools for participant recruitment, auto-transcription and synthesis, pattern recognition across data sets, and accelerated insight generation.
• Champion AI-assisted analysis (e.g., LLM-powered thematic coding, sentiment analysis across user feedback pools) to reduce time-to-insight without sacrificing rigour.
• Establish responsible AI use guidelines for research — ensuring synthetic data, simulated users, and AI-generated summaries are used critically and transparently.
• Partner with data science and analytics to build continuous research intelligence pipelines that surface user signals in near-real-time.
• Stay ahead of the curve on AI-native research methods (e.g., conversational research agents, automated usability benchmarking) and make evidence-based bets on adoption.

Executive Decision Enablement

• Operate as a trusted advisor and thought partner to the VPs Product, and VP Design - shaping strategic decisions with user evidence before options narrow.
• Design and deliver research artefacts calibrated for executive consumption: crisp, opinionated, and actionable - not exhaustive reports, but decision-accelerating briefs.
• Build a culture of evidence-based decision-making across Product, Engineering, Marketing, and Commercial teams by embedding research touchpoints in planning and OKR cycles.
• Proactively identify decisions being made without research and intervene diplomatically with the right methodology at the right fidelity.

Research Practice & Infrastructure

• Build and own the research operations infrastructure: panel management, vendor relationships, consent frameworks, data governance, and tooling stack (e.g., Dovetail, UserZoom, Lookback, Maze).
• Establish a shared research repository that makes insights discoverable and reusable across product teams.
• Develop research democratisation programmes — training product managers and designers in appropriate self-serve methods while protecting methodological integrity.
• Define quality standards and peer-review practices that elevate the output of every researcher on the team.

What We Are Looking For

Essential Experience

• 10+ years of UX research experience in high-growth product environments, with at least 5 years in a people management role.
• Demonstrated experience managing large research teams (6+ direct and indirect reports) in a fast-paced, matrixed organisation.
• Proven track record of conducting and leading both qualitative and quantitative research — you are as comfortable running a contextual inquiry as you are designing a quant survey instrument.
• Experience presenting research to C-suite and board-level stakeholders and influencing major product or business decisions.
• Hands-on experience implementing AI tooling in research workflows — not just awareness, but actual deployment and change management.
• Strong command of the full research methods toolkit: ethnographic research, diary studies, usability testing, concept testing, conjoint analysis, surveys, behavioural analytics, and more.

Skills & Mindset

• Hands-on by default: You don't delegate everything. You know what good research looks like because you still do it.
• Executive presence: You can distill six months of research into a three-slide brief that changes a product direction.
• AI-native: You have moved beyond experimenting with AI tools and are actively building AI into your team's operating model.
• Systems thinker: You see research not as isolated studies but as an interconnected evidence system that continuously informs strategy.
• People developer: You have a track record of researchers growing significantly under your leadership.
• Commercially literate: You connect user insights to business outcomes — revenue, retention, conversion, and lifetime value — and speak that language fluently to non-research stakeholders.
• Comfortable with ambiguity: You thrive in environments where the brief is unclear, the timeline is compressed, and the stakes are high.

Nice to Have

• Experience in betting, gaming, fintech, or other high-velocity consumer product environments.
• Academic background in HCI, Psychology, Cognitive Science, Sociology, or a related human behaviour field.
• Experience building research practices from scratch or in significant transformation phases.
• Fluency in data tools (SQL basics, Tableau, Amplitude, Mixpanel) to triangulate behavioural with attitudinal data.
• Experience with internationalisation research across multiple markets and cultures.

At Cato Networks, we are rebuilding networking and security from the ground up as a secured cloud service, and we are looking for an excellent and experienced Product Manager to join the Access & Identity team. As a Product Manager in this team, you will be a key member driving Cato’s ZTNA and remote access products to new heights, strengthening our position as the SASE market leaders.

Responsibilities:   
Product Managers in Cato’s Access & Identity team are seasoned all-round players who are constantly looking to solve customers’ pain points with product enhancements. Take a look at what we do:  

• Work closely with our customers, partners, Sales, R&D, Marketing, Ops, UI/UX, Documentation, Training, and Customer Success teams to deliver best-in-class network and security services in the market  

• Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments  

• Conduct product research, write detailed product design documents, and manage the end-to-end execution to deliver the feature  

• Create and deliver presentations for customers, partners, Sales, Customer Success, and Professional Services teams  

• Travel about once a quarter to meet our customers and partners face to face 

• And most importantly - work hard and enjoy every moment!  

Requirements:  

• At least 5 years of B2B product management experience in enterprise security SW company 

• Technical background: 4-7 years of previous experience as a software developer, security researcher, product owner, security engineer or  professional services engineer, or senior support engineer 

• Vast experience with security solutions such as SSE, SASE, remote access (VPN clients and clientless), Cloud Security and Enterprise Browsers

• Ability to demonstrate experience as a strong leader who can prioritize, communicate clearly, and influence across cross-functional teams  

• Business driven and Customer first attitude. Support the sales organization in securing new business  

• Strong product vision. Ability to conduct market and user research by performing competitive analysis, having ongoing contact with clients understanding their needs, tracking and analyzing user behavior, and following up and responding to user feedback.  

• Strong presentation skills, presenting to internal and external audiences. 

• High level of UX understanding, and ability to work with UX Experts to create great interfaces and experiences 

• Experience with SaaS platforms is an advantage 

• Computer science degree is an advantage  

At Cato Networks we are rebuilding the network from the ground up as a secured cloud service and we are looking for an excellent Product Manager that will take a leading part in building the future of our security services. As a Product Manager, you will be a key member of a team driving the product strategy, features, requirements, and orchestrate the launch of new and innovative security features.  

Responsibilities:  

• Identify challenges, opportunities and requirements of customers and partners, as well as internal stakeholders.  

• Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments.  

• Define and oversee the implementation of product features.  

• Conduct market and user research by performing competitive analysis, having ongoing contact with customers in order to understand their needs, tracking and analyzing user behavior, and following up and responding to user feedback.  

• Analyze and report on the functionality of features in production, reflecting on successes and identifying areas for continuous improvement.  

• Work across functions in a highly collaborative environment, with R&D teams, Sales, Marketing, and highest executives.  

Requirements: 

• At least 5 years of B2B product management experience in enterprise security SW company 

• Comprehensive experience and deep knowledge of network, endpoint, and cloud security solutions 

• Technical background: previous experience as a software developer, security researcher, product owner, security engineer or professional services engineer or senior support engineer 

• Demonstrated experience as a product leader who can prioritize, communicate clearly, and influence across cross-functional teams  

• High level of UX understanding and ability to work with UX designers  

• Experience with SASE and security cloud services is an advantage