Your responsibilities will include leading technical discussions and deep dives to balanced conclusions, understanding upfront design, verification plan and methods, and industrialization process, and knowing the competitive landscape and what it takes to outpace the competition. You will also be able to speak with confidence and authority but be humble and collaborative in leading a technical review and debate.

Additional responsibilities include authoring requirements, rules, methods in a manner that institutionalizes key learnings, authoring and maintaining lubrication distribution design engineering specifications for housings, hydraulic circuits, clutches, orifices, baffles, oil transfer tubes, etc., and co-leading technical peer reviews with component supervisor.

You will also coach, mentor, and train Suspension D&R engineers across all the global regions, own lubrication and thermal based warranty spend including driving best practices across supply base, and be responsible for the creation and maintenance of the Core Engineering Documents (FMA Documents, SDS/Requirements and Test Procedures, etc.).

You will be integral to Signoff of System/Subsystem/Component with specific signoff responsibility BEFORE Chief Signoff, partner with CAE team to identify and develop new methods in modeling and assessing lubrication distribution in transmission, drive unit, and axle products, and go-to for Problem Solving – Launch, Recall, Quality / Field Issues, DV/PV issues.

You will conduct global supplier onsite reviews at component plants and recommend best practices for manufacturing process and quality control, provide technical support to the Architecture, Core, and Applications teams for the development of lubrication distribution, conduct benchmarking to optimize component design for future programs, and provide Technical leadership to broader Underbody Systems engineering teams.

You will leverage CAE modelling capability to optimize quality, maximize efficiency and minimize cost, create and conduct training sessions, and submit a completed evidence book to proceed in the interview process.

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Data Governance & Analytics

Develop and implement data analytics strategies to improve operational efficiency, identify trends, and make data-driven decisions. Leverage data analytics to improve risk management, underwriting, processing, and other operational areas. Identify and implement new data sources, analytics tools, and methodologies to enhance data-driven decision-making. Provide insights and recommendations to leadership based on data analysis.

Digital Transformation

Lead digital transformation initiatives to improve customer experience, automate processes, and enhance operational capabilities. Identify and implement new digital technologies and tools to improve efficiency and effectiveness. Develop and execute digital transformation roadmaps, ensuring alignment with business objectives. Collaborate with technology teams to ensure the successful implementation of digital transformation initiatives. Provide training and support teams for adapting to new processes, technologies, and methodologies. Monitor and evaluate the impact of changes, ensuring continuous improvement and alignment with organizational objectives.

Leadership and Collaboration

As the Personal Lines Hub Leader and member of the PL Leadership Team, this role is responsible for participating and implementing PL's business strategy. Provide subject matter expertise to PL leaders in their functional area, staying up to date with best practices, technologies, and market trends. Collaborate with cross-functional teams, including Product, Actuary, Analytics, Underwriting, Distribution, IT, and Finance. Represent the organization to external stakeholders, including clients, partners, and regulators. Develop and implement training programs to ensure staff are equipped to handle new technologies and processes. Identify skill development needs, areas of improvement, and skill gaps within team members, and facilitate mentorship and learning opportunities to improve their skills. Ensure that new hires are seamlessly integrated into the team and culture. Act as a 'talent magnet' in the markets, universities, and internally. The PL Hub Leader plays a critical role in recruiting for positions within their job families and areas of expertise, assessing technical and domain-specific skills. Lead by example, conduct performance reviews in partnership with BI leaders, provide constructive feedback, and help FBS hub members grow their careers. Acts as a representative for any PL FBS needs, escalations, development, and support.

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We're looking for an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot.

The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

• Develop metrics for Copilot usage and quality.
• Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot.
• Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
• Enable A|B experimentation for new features.
• Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own.
• Articulate insights, storyboard with data and communication to influence leadership and other key decision makers.
• Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Equivalent experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• Equivalent experience.

Experience with prompt engineering and using LLMs.

• Experience building data pipelines to support analytics and experiment scenarios.
• Experience working on product analytics to drive product improvements.
• 1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.
• Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.
• Proficiency in using one or more programming or scripting language like Python, R, C# to work with data required.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders.
• Keen interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

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The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. You will develop metrics for Copilot usage and quality, drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. You will also drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.

You will enable A|B experimentation for new features, hands-on analysis of large volumes of telemetry data using various algorithms and tools, and articulate insights, storyboard with data and communication to influence leadership and other key decision makers. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

We're looking for someone who thinks deeply about measurement and human-AI interactions, and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

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This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.

About the Program

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

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Requirements

• Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
• Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
• Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
• Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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

About the Programme

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

Responsibilities

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex clinical scenarios, evaluate model decision-making for safety and accuracy, and shape reasoning frameworks through structured, example-driven feedback.
• Join the HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers,boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Eligibility

• Education: Medical degree required (MD, DO) with board certification; open to residents, practicing clinicians, or those with extensive clinical experience.
• Specialties: Internal medicine, emergency medicine, radiology, surgery, psychiatry, and related fields.
• Skills: Strong clinical reasoning and writing skills, with the ability to assess complex, nuanced, or edge-case scenarios.
• Professional Mindset: Detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration. Prior experience with AI is not required, but a plus.

Benefits

• Advance Medical AI Solutions: Apply your clinical expertise to tackle complex, real-world healthcare challenges where your judgment shapes advanced AI reasoning and patient care decisions.
• Professional Development: High-impact medical experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, enhancing clinical reasoning skills, and gaining hands-on experience with cutting-edge healthcare AI technologies.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with financial decision-makers across Canada.

Key responsibilities include:

• Winning new business and driving revenue for Anthropic within the Canada financial services sector.
• Designing and executing innovative sales strategies tailored to the financial services procurement cycles across Canada markets.
• Spearheading market expansion across Canada financial departments, research centers, and administrative offices.
• Navigating complex financial stakeholder ecosystems across Canada markets, including executives, administrators, IT departments, and procurement offices.

To be successful in this role, you'll need:

• 5+ years of Canada financial services sales experience, including banking, insurance, fintech, or related sectors.
• A strategic, analytical approach to assessing Canada financial services markets combined with creative, tactical execution to capture opportunities.
• Extensive experience negotiating complex agreements within Canada financial services procurement frameworks and understanding regional regulatory requirements.
• Proven experience exceeding revenue targets in the financial services sector, with demonstrated ability to manage complex, multi-country deal cycles and navigate different regional requirements.
• Excellent communication skills and ability to present confidently to various audiences from technical experts to C-level executives across Canada financial institutions.

If you're passionate about ensuring frontier AI systems are developed safely and ethically for financial use across Canada, we'd love to hear from you!

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As a Startup Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

Responsibilities:

• Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
• Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
• Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
• Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
• Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 2-3 years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
• Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
• Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
• Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
• Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
• Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely
• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

Benefits

• Annual Salary: $222,800 - $290,000 USD
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains.

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The ideal candidate will have a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help healthcare enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the healthcare industry, focusing on health systems, hospitals, and payor organisations. Navigate complex healthcare organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from outbound to close.

• Design and execute innovative sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes to meet and exceed revenue quotas. Analyse healthcare market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns.

• Spearhead market expansion by identifying new use cases within clinical departments, care management teams, claims processing units, and administrative offices. Collaborate cross-functionally to differentiate our offerings for healthcare delivery and payor applications.

• Inform product roadmaps and features by gathering feedback from healthcare users including clinicians, care coordinators, and administrative leaders, conveying healthcare market needs. Provide insights that strengthen our value proposition for healthcare organisations.

• Continuously refine the healthcare sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency across health systems and payors.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organisations

• A track record of managing complex sales cycles within healthcare organisations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases

• Extensive experience negotiating complex agreements within healthcare procurement frameworks, including understanding of value-based care contracts and payor policies

• Proven experience exceeding revenue targets in the healthcare sector by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently to various healthcare audiences, from physicians and nurses to C-suite executives and payor leadership

• Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organisations

• A strategic, analytical approach to assessing the healthcare market combined with creative, tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems and their applications in healthcare. You feel strongly about ensuring frontier AI systems are developed safely and ethically for clinical use

• Ability to develop and refine healthcare use cases for AI in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency

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The ideal candidate will have a passion for developing new market segments within pharmaceutical, biotechnology, and research organisations, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help life sciences enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the life sciences industry, focusing on pharmaceutical companies, biotechnology firms, and research organisations.
• Design and execute innovative sales strategies tailored to life sciences procurement cycles, R&D budgeting processes, and regulatory considerations to meet and exceed revenue quotas.
• Spearhead market expansion by identifying new use cases within research departments, clinical development teams, regulatory affairs, medical affairs, and commercial organisations.
• Inform product roadmaps and features by gathering feedback from life sciences users including researchers, scientists, regulatory professionals, and commercial leaders, conveying market needs.
• Continuously refine the life sciences sales methodology by incorporating learnings into playbooks, templates, and best practices.

You may be a good fit if you have:

• 5+ years of enterprise sales experience in life sciences, with demonstrated success covering pharmaceutical companies, biotechnology firms, and/or research organisations.
• A track record of managing complex sales cycles within life sciences organisations and securing strategic deals by understanding both technical requirements and scientific/regulatory use cases.
• Extensive experience negotiating complex agreements within life sciences procurement frameworks, including understanding of R&D budget cycles and compliance requirements.
• Proven experience exceeding revenue targets in the life sciences sector by effectively managing an evolving pipeline and sales process.
• Excellent communication skills and the ability to present confidently to various life sciences audiences, from researchers and scientists to R&D leadership and C-suite executives.
• Deep understanding of life sciences buying cycles, decision-making processes, and key pain points across pharmaceutical, biotech, and research organisations.
• A strategic, analytical approach to assessing the life sciences market combined with creative, tactical execution to capture opportunities.
• A passion for and/or experience with advanced AI systems and their applications in life sciences. You feel strongly about ensuring frontier AI systems are developed safely and ethically for scientific and clinical applications.
• Ability to develop and refine life sciences use cases for AI in collaboration with customers and channel partners, with particular focus on drug discovery, clinical development, regulatory submissions, and commercial operations.

Annual compensation range for this role is $290,000 - $435,000 USD.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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What you'll do

You will work closely with Application Security and Red Team engineers, applying an attacker's mindset to AI systems while building scalable security testing, automation, and guardrails that meaningfully reduce risk.

• Perform security testing and reviews of AI-enabled applications, agents, and workflows, including architecture, design, and implementation analysis
• Identify and validate vulnerabilities in LLM-based systems such as data leakage, insecure tool use, authentication gaps, and abuse paths

What you need

• Strong background in application security, offensive security, or a combination of both
• Hands-on experience identifying and exploiting security weaknesses in modern applications and services

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