You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Responsibilities:

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.
• Build and lead a regional team supporting EMEA customers, both inbound and outbound.
• Design and execute innovative sales strategies tailored to diverse EMEA contexts.
• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments.
• Develop and maintain relationships with key EMEA ecosystem players.
• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.
• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

You May Be a Good Fit If You Have:

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.
• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions.
• Experience building and scaling sales teams.
• Deep understanding of nonprofit or education sector operations.
• Demonstrated ability to navigate diverse stakeholder ecosystems.
• Scrappy mentality.
• Proven experience exceeding revenue targets.
• Excellent communication skills.
• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

Strong Candidates May Also Have:

• Active involvement in the EMEA nonprofit or education community.
• Existing relationships with major INGOs, foundations, or educational institutions.
• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.
• Track record of building strategic partnerships with foundations or philanthropic advisors.
• Experience presenting at nonprofit conferences or education forums.
• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

Logistics:

• Location: London.
• Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.
• Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.
• Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

The annual compensation range for this role is €1-€1 EUR.

XML job scraping automation by YubHub

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

As an Applied Research Engineer at Labelbox, you'll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work,browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You'll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox's strategy for collecting, synthesizing, and evaluating it.

Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities.

Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies.

Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems.

Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models.

Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices.

Collaborate closely with frontier AI lab customers to understand requirements and guide model development.

Publish research findings in academic journals, conferences, and blog posts.

What You Bring

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.

At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers.

Experience building and training autonomous agents,tool use, structured outputs, multi-step planning,across browsers/GUI, codebases, and databases using SFT and RL.

Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).

Adept at interpreting research literature and quickly turning new ideas into prototypes.

Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements.

Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).

Strong analytical and problem-solving abilities in ambiguous situations.

Excellent communication skills.

Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.).

Labelbox Applied Research

At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team.

You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

Our team and verticals are evolving rapidly,the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Responsibilities:

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.

• Build and lead a regional team supporting EMEA customers, both inbound and outbound.

• Design and execute innovative sales strategies tailored to diverse EMEA contexts.

• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus.

• Develop and maintain relationships with key EMEA ecosystem players.

• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.

• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

• Partner effectively with SF-based teams across time zones.

• Help shape team processes and culture as we scale from 1 to N.

You May Be a Good Fit If You Have:

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.

• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs.

• Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts.

• Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement.

• Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees.

• A scrappy mentality,comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

• Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones.

• Excellent communication skills with ability to adapt style across cultural contexts.

• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

• A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology.

Strong Candidates May Also Have:

• Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership.

• Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions.

• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.

• Track record of building strategic partnerships with foundations or philanthropic advisors.

• Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums.

• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

Logistics:

• Location: London.

• Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.

• Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.

• Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

Annual compensation range for this role is £280,000-£330,000 GBP.

XML job scraping automation by YubHub

As a Staff Product Manager, you will be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.

This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You will work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements.

Key responsibilities will include:

• Defining and driving the product roadmap for GenAI safety across Pinterest's AI-powered surfaces
• Leading proactive identification of risks, failure modes, and adversarial attack vectors across AI systems
• Designing structured red-teaming exercises and evaluation frameworks before and after product launches
• Partnering closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines into precise, buildable product requirements and model guardrails
• Working with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations
• Defining and tracking quantitative safety metrics, including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction
• Developing and maintaining AI safety incident runbooks and escalation frameworks, and leading rapid triage and remediation when AI systems produce harmful or unexpected outputs

If you're passionate about the intersection of AI and user safety, and thrive in ambiguous, fast-evolving problem spaces, we encourage you to apply.

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

You'll win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic.

You'll build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling,while rolling up your sleeves to close deals yourself.

You'll design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions.

You'll navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus.

You'll develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners.

You'll inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs.

You'll continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team.

You'll partner effectively with SF-based teams across time zones, maintaining regular cadence with Elizabeth Kelly and cross-functional stakeholders while operating with significant regional autonomy.

You'll help shape team processes and culture as we scale from 1 to N.

The ideal candidate has 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.

They have a track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs.

They have experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts.

They have a deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement.

They have demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees.

They have a scrappy mentality,comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

They have proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones.

They have excellent communication skills with ability to adapt style across cultural contexts.

They have fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

They have a genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology.

Strong candidates may also have active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership.

They have existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions.

They have familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.

They have a track record of building strategic partnerships with foundations or philanthropic advisors.

They have experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums.

They have understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.

XML job scraping automation by YubHub

You will operate at the intersection of digital operations, customer experience, and AI-powered transformation. This role helps drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

• Overall experience >4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

As a Customer Experience Digital Operations Manager, you will oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements. You will define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.

You will drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback. You will manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.

You will build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc. You will use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.

You will partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution. You will apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.

You will evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service. You will promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.

You will lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations. You will support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Requirements

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Benefits

• Competitive compensation and benefits package:
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing ( A/B Testing )
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

As a Digital Product Operations Manager, you will:

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities:

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills:

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills:

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

XML job scraping automation by YubHub

About the role

The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.

This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position.

You’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.

What we're looking for:

• A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone

• Experience working on the data layer of Generative AI products, particularly involving images, video, or audio

• Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code

• Hands-on experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The good stuff...

• Competitive compensation (salary + stock options + bonus)

• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.

• 25 days of annual leave + public holidays

• Great company culture with the option to join regular planning and socials at our hubs

• \+ other benefits depending on your location

XML job scraping automation by YubHub

About the Team

The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.

About the Role

As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with OpenAI’s APIs, platform, and products for developers.

We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers.

In this role, you will:

• Develop demos and sample applications demonstrating cutting-edge integrations and best practices using reasoning models, multimodal capabilities, and agent tools.

• Create high-quality technical content—including tutorials, blog posts, videos, and code samples—to educate and inspire the developer community about our models, APIs, and Codex.

• Actively engage with and foster a vibrant local and global developer ecosystem around OpenAI’s platform.

• Represent OpenAI at developer events and online platforms, serving as a knowledgeable, approachable advocate for developers.

• Gather and synthesize developer feedback to inform and enhance our product roadmap.

• Collaborate cross-functionally with product, engineering, and marketing teams to ensure adoption and success of OpenAI’s developer tools and APIs.

• Contribute directly to improving and refining OpenAI’s developer interfaces and surfaces.

• Own challenges end-to-end, proactively addressing gaps and acquiring new skills to resolve complex issues.

You might thrive in this role if you:

• Are passionate about crafting exceptional developer experiences and creating inspirational technical content and projects.

• Bring a robust full-stack engineering background with demonstrated experience building innovative applications using AI and large language models (LLMs).

• Have strong user empathy and care deeply about delivering experiences developers truly appreciate.

• Have a proven track record of successfully creating engaging technical content, compelling demos, or innovative developer tooling that accelerates technology adoption.

• Find joy in coding, continuously shipping high-quality, impactful software.

• Excel in dynamic environments characterized by rapidly evolving priorities, ambiguity, and competing deadlines.

• Are an exceptional collaborator who thrives working cross-functionally and enjoys partnering with diverse teams.

• Maintain a genuine commitment to AI ethics and safety, strongly aligning with OpenAI's responsible AI development principles.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

What you'll do

• Take a leadership role in developing, prototyping, and teaching novel red teaming techniques and trust and safety methodologies to enhance team capabilities
• Investigate and understand how adversarial attacks, such as prompt injections, data poisoning, or bias exploitation, could manifest in Epic’s products

What you need

• 5+ years of experience conducting investigations or red teaming in fields such as cybersecurity, AI ethics, trust and safety, or related areas
• Proven ability to develop multi-source, evidence-based findings and communicate them effectively to technical and non-technical stakeholders

XML job scraping automation by YubHub

What you'll do

• Take a leadership role in developing, prototyping, and teaching novel red teaming techniques and trust and safety methodologies to enhance team capabilities
• Investigate and understand how adversarial attacks, such as prompt injections, data poisoning, or bias exploitation, could manifest in Epic’s products

What you need

• 5+ years of experience conducting investigations or red teaming in fields such as cybersecurity, AI ethics, trust and safety, or related areas
• Proven ability to develop multi-source, evidence-based findings and communicate them effectively to technical and non-technical stakeholders

XML job scraping automation by YubHub