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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Manage an assigned territory/district based on business needs and management directives, focusing on quoting, forecasting, and booking renewal contracts.
Your Experience
All your information will be kept confidential according to EEO guidelines.
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
The Ecosystem Renewals Manager will be responsible for shaping and scaling our renewal revenue performance through our ecosystem partners. This individual contributor role requires channel experience—ideally someone who has worked directly within a partner or distributor organization—and who understands ecosystem dynamics, partner economics, renewal programs, and the unique metrics that drive partner-led revenue motions.
You will partner across the Ecosystem team to define the future of partner-led renewals, ensuring a predictable, scalable, and customer-centric renewal experience across EMEA.
Your Impact
Strategic Partnership with Sales, Ecosystems teams, and Ecosystem Partners, to define, execute, and deliver quarterly bookings targets for Renewals with predictability and reliability.
Working with the renewal managers and channel team you will define the Ecosystem Renewals core principles for EMEA, ensuring alignment with Sales, Channel, and Global Customer Success teams.
Serve as a strategic partner to the Ecosystem Team driving and executing integrated renewal strategies across partner types.
Leverage your channel background knowledge to help shape models that reflect how partners operate with the renewal portfolio including their incentives and the critical KPIs governing their success with renewals.
Drive a culture of accountability, collaboration, and continuous improvement.
Channel-Centric Renewals Revenue Leadership
Own partner-led renewal visibility and forecasting, ensuring accuracy and visibility across distributor, reseller, and GSI renewal motions.
Operational Excellence
Drive transformation of channel renewal processes, optimizing workflows and partner engagement through scalable governance, automation, and analytics.
Ensure partner renewal operations are integrated seamlessly into internal systems (Salesforce, Clari, PRM) and aligned to our sales forecasting cadences.
Partner with sales operations to help build, launch and utilize a dashboard visible to our ecosystem distributors whilst having a full understanding of GDPR restrictions and limitations
Partner Collaboration & Enablement
Act as the primary renewals liaison to Channel Sales, Distribution Leaders, and Alliances stakeholders.
Work closely with distributors and partners to ensure they are equipped with the right insights, tools, and training to execute high-quality renewals.
Partner with Channel Enablement to design renewal-focused partner programs, certifications, rebates and competency frameworks.
Partner with sales operations to help build, launch and utilize a dashboard visible to our ecosystem distributors whilst having a full understanding of GDPR restrictions and limitations
Your Experience
3+ years of experience in channel-focused roles, ideally within a reseller, distributor, MSP, or GSI, with responsibility for partner revenue, programs, or renewals.
Demonstrated experience in partner-led renewal management, channel forecasting, and ecosystem program execution.
Strong understanding of distribution models, partner compensation, deal lifecycle, vendor rankings and ecosystem health metrics. Ideal candidates will have strategic relationships which are in partnership with Palo Alto Networks current ecosystem in EMEA.
Proven ability to influence partner and distributor stakeholders and drive performance improvements within a matrix environment.
Expertise with Salesforce, Clari, and partner or distribution management tools.
Track record of driving growth and operational excellence in a partner-centric environment.
All your information will be kept confidential according to EEO guidelines.
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This role can be based in the UK, the Netherlands, France or Germany
Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
This role will be EMEA focused and requires attention to detail and ability to multi task and respond to tight deadlines. It is expected that the role will have consistent interaction with sales, channels, finance, deals desk, order processing across the region, as well as with the Global HQ team.
Your Responsibilities
Requirements:
All your information will be kept confidential according to EEO guidelines.
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Provide IT procurement, configuration, and support services for PC and Mac platforms, video conference equipment, printers/copiers, phone systems, smartphone devices, and general IT hardware/software
Base level understanding of IT infrastructure, including networking, and the ability to build, configure, and support them with the guidance from SMEs
Follow SOP documentation and escalate issues appropriately to higher-level staff
Manage individual workflow and maintain the current ticket queue via the IT ticketing system
Develop and maintain productive and professional relationships with the user base
Plan, coordinate, and support the onsite, online, and hybrid events with IT/AV enabled
Your Experience
Any degree in tech or related discipline, or equivalent military experience
Must have 5 to 10 years of relevant work experience in IT admin roles
Strong service-oriented mentality is a must- excellent communication/interpersonal skills, ability, and willingness to learn and cross-train with other IT staff members required
Recent hands-on technical experience with Windows 11, Mac OSX, Google Workspace, Microsoft Active Directory, system imaging, VPN, basic networking, network connectivity, including 802.11x, PC and Apple hardware, and mobile devices
Recent experience with remote access and remote-control tools to support remote employees. Zoom, MS Remote Desktop, etc.
Recent involvement in supporting large group events with IT/AV equipment operation
Experience with office space IT Facility design, build, and maintenance support
All your information will be kept confidential according to EEO guidelines.
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What you will accomplish:
An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.
A collaborative and supportive work environment where innovation and creativity are encouraged.
Access to state-of-the-art resources and tools to support your research and development work.
A culture that values diversity, inclusion, and the professional growth of its members.
Competitive compensation and benefits package, tailored to attract the best talent in the field.
What you will bring:
Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.
Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.
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We are seeking a highly skilled and motivated Applied Researcher with expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). In this role, you will focus on developing and deploying deep learning models that empower our buyers and sellers, including areas such as LLM post-training (instruction tuning, alignment), and scalable deployment. Working closely with research scientists and cross-functional engineers, you will translate cutting-edge algorithms into production-ready features that create measurable impact in our products and services.
What you will accomplish:
Design, develop, and deploy advanced machine learning algorithms, with a focus on NLP/LLM.
Work closely with cross-functional teams to integrate machine learning solutions into our products and platforms.
Conduct research on the latest technologies and methodologies in NLP and LLMs to drive innovation within the team.
Collaborate with data engineers and scientists to preprocess, clean, and structure large datasets for model training and evaluation.
Implement best practices in model development, validation, testing, and deployment to ensure high-quality and scalable solutions.
Stay abreast of industry trends and advancements in AI, machine learning, and NLP to continuously improve our capabilities.
What you will bring:
Master's degree or PhD in Computer Science, Engineering, Mathematics, or a related field.
Proven experience in machine learning, with a strong emphasis on NLP and LLMs (experience with instruction tuning and alignment is a major plus).
Proficiency in programming languages such as Python and C++ and frameworks like PyTorch, TensorFlow, or similar.
Solid understanding of machine learning algorithms, model architecture, training techniques, and building performant inference pipelines. Experience with model inference optimization techniques and libraries is a plus.
Experience with data preprocessing, feature engineering, model evaluation metrics and large scale data processing framework like SPARK.
Excellent analytical and problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical collaborators, come up with creative solutions, and help with tracking and delivering within the release plan
Publication record in top AI conferences/journals is a big plus
What we offer:
An opportunity to work on cutting-edge research in NLP and deep learning, making significant contributions to the field and real-world applications.
A collaborative and supportive work environment where innovation and creativity are encouraged.
Access to state-of-the-art resources and tools to support your research and development work.
A culture that values diversity, inclusion, and the professional growth of its members.
Competitive compensation and benefits package, tailored to attract the best talent in the field.
These jobs might be a good fit

Share
These jobs might be a good fit

Share
Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Manage an assigned territory/district based on business needs and management directives, focusing on quoting, forecasting, and booking renewal contracts.
Your Experience
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit