Field Enablement Emea Manager Jobs

Job ID: 111269 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Build and own features end-to-end from product specs through deployment and maintenance, ensuring high quality at every stage. Drive frontend architecture for modern web applications using React, TypeScript, and/or Next.js. Collaborate cross-functionally to integrate emerging technologies into our evolving infrastructure. Shape the roadmap by contributing technical perspective on architecture decisions and business priorities. Write maintainable code with comprehensive testing, clear documentation, and thoughtful design. Mentor through code reviews that prioritize both quality and knowledge sharing. Support your team through pairing, healthy technical debates, and a culture of mutual growth. Interface with stakeholders to gather requirements, communicate progress, and respond to technical questions. Experience: Education and Experience: Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field. 1 year of experience in job offered, software development, or related occupation. Skills: Experience with Python and Flask. Experience with AWS services (DynamoDB and SQS) and Kubernetes. Experience with algorithms, data structures, and object-oriented programming. Experience with SQL or NoSQL databases. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity

Job ID: 111268 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics and analytical tools to track and monitor growth. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines. Experience with building and evaluating optimization and inference models, and predictive modeling. Experience with writing production quality computer code and using MATLAB, R, and Python. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is

Job ID: 111267 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, Product Designers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Collaborate with Software Engineers to implement algorithms and analytics events in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Physics, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics, analytical dashboards, and tools to track and monitor growth. Experience with statistics, business forecast and estimates, and authoring data pipelines. Experience with writing production queries and experiment design and analysis. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orienta

Job ID: 111266 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Design and conduct studies across key product areas, utilizing methods such as ethnographic/field research, surveys, concept testing, usability testing, and any other methods you find impactful. Partner with our data scientists to provide qualitative context for their quantitative insights. Review, analyze, and communicate mixed methods data to generate tactical and strategic insights, as well as actionable recommendations that drive product innovation and design improvements for users. Find creative and compelling ways to generate, present, and evangelize results and recommendations throughout the company, in order to help cultivate a highly informed, more effective, and more empathetic organization. Work with cross-functional partners to shape product direction based on research findings and follow-up with partners about implementation to understand how findings are being used. Experience: Education and Experience: Master's degree or foreign equivalent in psychology, data analysis, statistics, or related field. 1 year of experience in job offered, data analysis, or related occupation. Skills: Experience with research and statistical analysis. Experience conducting qualitative and quantitative research. Experience analyzing data surveys, experimental studies, content analysis, and correlational research. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligib

Job ID: 111265 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Maintain and document current and new system requirements. Perform Server Administration tasks, including user and group administration, research event logs to continually improve service for end users. Work with product, engineering, and operational business stakeholders to understand and prioritize business system’s needs. Monitor infrastructure and platform performance. Create architectural designs that enhance resilience and promote business continuity. Manage the deployment of new software, version upgrades, patch releases and major incidents. Manage development, test, release, and production environments in Cloud. Identify actionable, value-added optimization and efficiency opportunities, and contribute to the continuous improvement of applications and processes. Manage stakeholder requirements and develop detailed implementation plans. Employ agile methodology in the development of software, systems interfaces, and application configurations. Experience: Education and Experience: Master's degree or foreign equivalent in Computer Science, Engineering, or related field. 2 years of experience in job offered, software development, or related occupation. Skills: Experience with IT systems and Business Systems Oracle Fusion cloud. Experience with Oracle Cloud ERP and Boundary apps. Experience with SQL, PL/SQL, BI, OTBI, and BICC reports. Experience with Oracle finance and Source Code Management (SCM). Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid tim

JOB DESCRIPTION: Primary Job Function • Achieving assigned territory/ geography wise sales target • Carrying out effective field work without direct day-to-day supervision • Report field work in daily basis on assigned online system • Meeting Call Average, Coverage, Frequency coverage Norms of assigned division Core Job Responsibilities • Generate maximum prescriptions & increase market share • Promote the Division’s products as per strategy • Relationship Building with the Stake holders (Doctors, Chemists, Stockiest etc) • Facilitating Strategy building • A good Brand Ambassador Minimum Education BSc/B. Pharma. Experience/Training Required 1. 2&#43; Yrs of experience 2. Fresher with good communication and analytical skill may also consider 3. Candidate with prior/current experience in same therapy. Candidate from MNC and top Indian Pharma companies will have added advantage. 4. Fluent and confident in communication #LI-DNI The base pay for this position is N/A In specific locations, the pay range may vary from the range posted. JOB FAMILY: Sales Force DIVISION: EPD Established Pharma LOCATION: India > Ahmedabad : Indraprasth Corporate Park ADDITIONAL LOCATIONS: WORK SHIFT: Standard<p style="text-align:inher

CSQ427R265 Manager, Delivery Solutions Architect – Healthcare & Life Sciences (HLS) United States – Apply Now As a Delivery Solutions Architect (DSA) Manager supporting our Healthcare & Life Sciences (HLS) segment, you will lead a team of DSAs responsible for accelerating production-grade Data and AI workloads across some of the most regulated, mission-critical environments in the world. Your organization will be the technical engine behind how payers, providers, med-tech, and biopharma customers modernize clinical intelligence, streamline R&D operations, and operationalize secure AI at scale on the Databricks Data Intelligence Platform. You will define strategy, set the execution rhythm, and coach a team capable of navigating long implementation cycles, strict compliance requirements, and multi-stakeholder enterprise programs—all while ensuring customers achieve clear, measurable outcomes. You will report to the Director of Delivery Solutions Architecture for the HLS Business Unit. The Impact You Will Have: Build and Lead a High-Performing HLS Delivery Team Hire, develop, and inspire DSAs who can navigate clinical, scientific, and operational workloads. Establish a performance culture grounded in accuracy, velocity, and architectural excellence. Accelerate Production in Highly Regulated Environments Guide your team to minimize onboarding friction, remove blockers, and bring critical HLS use cases—clinical analytics, real-world evidence, supply-chain intelligence, quality systems, AI/ML—into production quickly and safely. Drive Compliance-Aware Technical Excellence Ensure your team maintains deep expertise in the Data Intelligence Platform alongside core HLS requirements such as PHI-compliant architectures, HIPAA/GxP controls, auditability, lineage, and secure ML/AI operations. Partner for Growth With Sales and Field Teams Collaborate tightly with Sales, SAs, Support, Emerging Technologies, and Professional Services to drive adoption, increase MAU/

Natera is seeking a Bioinformatics Scientist to join our Bioinformatics Research & Development team with a focus on cancer recurrence monitoring. Natera’s mission is to change the management of disease worldwide with a focus on reproductive health, cancer, and organ transplantation. The ideal candidate should have experience in sequencing data analysis, genomics, and/or algorithm development. This individual will analyze large and complex high-throughput cancer genomics datasets. They will also assist in developing novel computational methods, and integrating frameworks developed by our R&D team. PRIMARY RESPONSIBILITIES: Analyze high-throughput DNA sequencing datasets utilizing understanding of cancer biology and genomics. Help implement and validate novel algorithms and statistical methods. Collaborate with molecular biologists and other bioinformatics scientists to answer biological questions Contribute to experimental design and quality control Help develop tools and end-to-end bioinformatics pipelines QUALIFICATIONS: Bachelor's degree in bioinformatics, computational biology, computer science, engineering, molecular biology, or a related field; Master's degree preferred Minimum of 2 years of hands-on experience doing high-throughput genomic sequencing analysis KNOWLEDGE, SKILLS, AND ABILITIES: Experience doing NGS data analysis (e.g. mapping, variant calling, etc.) Strong programming skills in a scientific programming language, Python strongly preferred Knowledge of genomics, with a preference for familiarity with cancer biology Familiarity with public databases such as TCGA, COSMIC, or OncoKB Experience with Linux command-line tools and shell scripting Ability to conduct hypothesis-driven research, visualize data, and effectively communicate results Ability to collaborate effectively, self-motivated, and detail-oriented PREFERRED SKILLS: Background in ML and statistics Experience with WGS Compensation & Total Rewards This range reflects a goo

Natera is seeking a Bioinformatics Scientist to join our Bioinformatics Research & Development team with a focus on cancer recurrence monitoring. Natera’s mission is to change the management of disease worldwide with a focus on reproductive health, cancer, and organ transplantation. The ideal candidate should have experience in sequencing data analysis, genomics, and/or algorithm development. This individual will analyze large and complex high-throughput cancer genomics datasets. They will also assist in developing novel computational methods, and integrating frameworks developed by our R&D team. PRIMARY RESPONSIBILITIES: Analyze high-throughput DNA sequencing datasets utilizing understanding of cancer biology and genomics. Help implement and validate novel algorithms and statistical methods. Collaborate with molecular biologists and other bioinformatics scientists to answer biological questions Contribute to experimental design and quality control Help develop tools and end-to-end bioinformatics pipelines QUALIFICATIONS: Bachelor's degree in bioinformatics, computational biology, computer science, engineering, molecular biology, or a related field; Master's degree preferred Minimum of 2 years of hands-on experience doing high-throughput genomic sequencing analysis KNOWLEDGE, SKILLS, AND ABILITIES: Experience doing NGS data analysis (e.g. mapping, variant calling, etc.) Strong programming skills in a scientific programming language, Python strongly preferred Knowledge of genomics, with a preference for familiarity with cancer biology Familiarity with public databases such as TCGA, COSMIC, or OncoKB Experience with Linux command-line tools and shell scripting Ability to conduct hypothesis-driven research, visualize data, and effectively communicate results Ability to collaborate effectively, self-motivated, and detail-oriented PREFERRED SKILLS: Background in ML and statistics Experience with WGS The pay range is listed and actual compensation packages are bas

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most. You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model. How this team works You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build. You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not j

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most. You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model. How this team works You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build. You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not j

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Office Near Tai Seng MRT, Singapore Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Qualifications [ Fulfill All 5 Requirements ] Bachelor's Degree in any field is preferred for this post. Minimum 2-5 Years of hands-on experience in company's official website or Amazon platform. Must be familiar with Website Traffic & Conversion, Google Analytics, A/B testing, CPC, CRO. Experiences in handling online store, online sales operations and online sales growth duties. Proven experience in cross-border e-commerce (B2C or D2C) is an advantage, particularly for the Australia and Europe & US markets. This Role will mainly focus on handling Reolink Official Website & Amazon platform while leading SG E-Commerce Team. Manage few teams of e-commerce in Singapore office around 15 headcount. Manage and maintain the company's e-commerce storefronts across multiple platforms (Official website & Amazon) , ensuring smooth daily operations and optimal store performance, with a focus on the Australia and Europe & US Markets. Track and analyze sales performance, traffic, and conversion data across platforms, provide actionable insights and continuously optimize product and pricing strategies. Upload product listings across platforms, including writing and optimizing high-quality titles, descriptions, and item specifics, aligned with tar

POSITION SUMMARY: The Medical Science Liaison (MSL), Rare Disease is a field-based scientific expert and a key scientific resource for clinicians, academic institutions, and professional organizations in the Rare Disease community. This individual builds relationships with Key Opinion Leaders (KOLs), leads scientific exchange on Natera's Rare Disease test, and brings field insights back to Rare Disease leadership. The MSL works closely with the Rare Disease Sales, Marketing, and Medical teams to help bring the test to more patients. This role operates with a high degree of autonomy and reports to the Director of MSLs, Rare Disease. PRIMARY RESPONSIBILITIES: Provide scientific and clinical presentations on Natera products, with a focus on Rare Disease, and respond to customer requests for information about marketed and developing products. Develop, maintain, and manage relationships with KOLs from the Rare Disease community and other relevant healthcare professionals. Capture field insights on clinical practice, unmet needs, and market dynamics, and share them with Rare Disease leadership. Serve as a medical and scientific resource for the Natera Sales and Marketing teams, and collaborate with Marketing to develop educational materials for healthcare providers and patients. Participate in clinical research, data analysis, and scientific writing. Work with PHI in paper and electronic form. Complete HIPAA/PHI privacy, general policy and procedure compliance, and security training within the first 30 days of hire, and keep Natera training requirements current. Performs other duties as assigned. QUALIFICATIONS: Master's degree required, or a doctorate (PharmD, PhD, MD/DO, DNP), in a clinical or scientific field with relevant knowledge of Rare Disease. Prior experience as an MSL or in another field-based role highly preferred. Experience with the introduction of new clinical laboratory tests preferred. Must pass a post-offer criminal background check. KNOWLEDGE, SK

Become a part of our caring community The Senior Cloud Services Engineer enables cloud technologies to provide optimal performance, continuity, and efficiency in virtualized, on-demand environments. The Senior Cloud Services Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Cloud Services Engineer utilizes software that manages and monitors networks, systems, and applications not only to guarantee performance within cloud software environments but also to orchestrate and automate the provisioning of resources. The associate begins to influence department strategy and makes decisions on moderately complex to complex issues regarding technical approaches for project components. Work is performed with minimal direction and considerable latitude is exercised in determining objectives and approaches to assignments. This role supports critical cloud engineering, ETL, Salesforce, AI, security, and DevOps initiatives while partnering across technical teams to deliver scalable, reliable, and secure solutions. The Senior Cloud Services Engineer also serves as a mentor to junior associates and contributes to continuous improvement efforts across the organization. Use your skills to make an impact Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field or equivalent experience 5 or more years of technical experience Must be passionate about contributing to an organization focused on continuously improving consumer experiences Experience working in a Salesforce environment Solid foundation of data engineering concepts, ETL, and distributed processing, particularly Databricks and Informatica Medium prog

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing As a Human Resources Advisor, you will partner with leaders and associates to align people strategies with business objectives, fostering a high-performing and engaged workforce. Serving as a trusted advisor, you will build strong relationships across the organization, provide guidance on employee relations, performance management, career development, and workforce planning, and collaborate with HR centers of excellence to deliver responsive, value-added support. This role also plays a key part in resolving employee concerns, driving talent acquisition efforts, and helping cultivate a positive workplace culture that supports the organization's long-term goals and success. What You Bring Bachelor’s degree in Human Resources, Business Administration, Psychology, Communications, Organizational Development, or a related field; equivalent experience may be considered in lieu of a degree. MBA preferred, but not required. 3-5 years of Human Resources Business Partner (HRBP) and/or Human Resources Generalist experience, preferably supporting a similar business environment or a high-volume, fast-paced organization. Demonstrated ability to build effective partnerships and influence stakeholders at all levels of the organization. Strong communication, interpersonal, relationship-building, and organizational skills. Proven ability to manage multiple priorities and deliver results in a dyna