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Microsoft

<div>
 
 Overview
 
 
 
 
 Business Group Overview
 
 Core AI is at the forefront of Microsoft&rsquo;s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The Future of Scalable Software Engineering (FoSSE) team&rsquo;s objective is to build capabilities to enable AI-enabled modernization of very large code bases on a large scale and with very high quality.
 
 
 
 Job Purpose Overview
 
 In this role, you will help define the future of software development. You will help build and combine static analysis and ML tools to help AI handle the scale of large code bases. You will work with state-of-the-art LLMs and reasoning models, very large code bases, and use data from pull requests, static analysis warnings reports, and developer feedback from AI recommendations to build AI agents that scale.
 
 
 You will grow by developing both static analysis and ML based techniques that are needed to build coding agents that scale to large code bases. You will be onsite 3 days a week and learn and grow through working with talented colleagues.
 
 
 
 Standard Company, Culture, Candidate Value Proposition &ndash; Use the following:
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more, and we&rsquo;re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
 
 
 
 Responsibilities
 
 
 
 Responsibilities-
 
 
 
 Coding
 
 Creates and implements code for a product, service, or feature, reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code.
 
 
 
 
 
 Design
 
 Contributes to the identification of dependencies, and the development of design documents for a product area with some help from manager or senior engineers.
 
 
 
 Machine Learning
 
 Knowledge and implementation of an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
 
 
 
 Algorithm Design and Implementation
 
 The ability to design, analyze, implement, optimize, profile and experimentally evaluate computer algorithms. Includes knowledge of practical applications of algorithms in software engineering.
 
 
 
 Qualifications
 
 
 
 Qualifications-
 
 
 
 Required Qualifications:
 
 Bachelor's Degree in Computer Science or related technical field AND 5+ years experience or Master&rsquo;s Degree with 3+ years of experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience Excellent technical design, problem solving and debugging skills
 
 
 Excellent communication and collaboration skills Customer obsession and passion for shipping high quality products Experience in designing and developing LLM-based tools to do transformations of code.
 
 
 Experience in building data-driven techniques that apply AI and ML to solve software engineering tasks.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Accessibility | Microsoft CareersDo what you love. Create the future you want. Explore the career options that Microsoft has to offer Stage.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Software Engineer

Takeda

<div>
 By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
 
 
 
 Job Description:
 
 
 
 
 The Future Begins Here:
 
 
 
 At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
 
 
 Bengaluru, the city, which is India&rsquo;s epicenter of Innovation, has been selected to be home to Takeda&rsquo;s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
 
 
 
 At Takeda&rsquo;s ICC we Unite in Diversity:
 
 
 
 Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
 
 
 
 The Opportunity:
 
 
 
 As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.
 
 
 
 Objectives:
 
 
 
 As a Salesforce Data Cloud, EINSTEIN, Agentforce Software Engineer, you'll combine technical skills on Salesforce Data cloud, Agentforce(GENETIC AI) ,business acumen and development qualities to build solutions that enable transformative capabilities within Takeda. You will support the Platform Owner in onboarding and facilitating the effective utilization of these platforms. You will play a key role in developing and building GENAI use cases leveraging LLM(Open-AI, chatGpt4.0 etc), Salesforce Data cloud, EINSTEIN and Agentforce .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Act as the technical developer for building agentic UI experience for our commercial and medical users
 </li>
 <li>
 Clarification of technical details in backlog items and technical design and build of backlog items.
 </li>
 <li>
 Set standards &amp; best practices within capability, and encourage adherence to those.
 </li>
 <li>
 Proactively address any risks &amp; issues together with the team, and raise to program/portfolio oversight, as required
 </li>
 <li>
 Ensure appropriate level of technical documentation.
 </li>
 <li>
 Cross-pollination of applicable standards &amp; practices between teams.
 </li>
 <li>
 Discussion on business requirements with stakeholders.
 </li>
 <li>
 Pro-active suggestions of new features or tools.
 </li>
 <li>
 Alignment &amp; communication with other service lines on overarching practices &amp; approaches.
 </li>
 <li>
 Ensure re-useability of features within business functions.
 </li>
 <li>
 Build and optimize generative AI applications using models like GPT, LLaMA, Gemini, OpenAI or custom models
 </li>
 <li>
 Create effective prompts and fine-tune models for specific domains, ensuring high accuracy and relevance.
 </li>
 <li>
 Develop APIs, microservices, and integrate generative AI models into production environments.
 </li>
 <li>
 Collect, clean, and preprocess datasets for model training and evaluation.
 </li>
 <li>
 Conduct experiments with various model architectures, hyperparameters, and training strategies to enhance performance.
 </li>
 <li>
 Work closely with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
 </li>
 <li>
 Implement AI governance, bias detection, and responsible AI practices in accordance with ethical and regulatory standards.
 </li>
 <li>
 Keep up with the latest research and advancements in generative AI, NLP, and multimodal AI technologies.
 </li>
 <li>
 Should understand capabilities of salesforce agentforce and datacloud.
 
 
 </li>
 </ul>
 
 EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related study, or equivalent experience
 </li>
 <li>
 3+ years of relevant professional experience in working in native UI/UX capabilities(react.js. HTML. CSS)
 </li>
 <li>
 Strong understanding of UI Framework(Bootstrap, Material UI, Semantic UI)
 </li>
 <li>
 Experience in salesforce data cloud and Agentforce,
 </li>
 <li>
 Proficiency in
 
 Python:
 
 , TensorFlow, PyTorch, or similar ML frameworks.
 </li>
 <li>
 Experience with
 
 Large Language Models (LLMs):
 
 ,
 
 transformers:
 
 , and
 
 generative architectures:
 
 </li>
 <li>
 Knowledge of
 
 prompt engineering:
 
 and
 
 fine-tuning techniques:
 
 .
 </li>
 <li>
 Familiarity with
 
 APIs:
 
 , REST, and microservice development.
 </li>
 <li>
 Experience in Agile development using agile methods like Scrum and/or Kanban
 </li>
 <li>
 Excellent oral and written communication skills, business acumen, and enterprise knowledge.
 </li>
 <li>
 Strong experience in design or in implementing solutions or products and preferable experience in quality improvement.
 </li>
 <li>
 Understand design thinking and can explain and convince stakeholders.
 </li>
 <li>
 Understands pharma and experience working in AI space with pharma customers
 </li>
 <li>
 Work with virtual/agile teams in different locations, aligning and adapting different work, culture, and communication styles
 </li>
 <li>
 Proficiency in English in both verbal and written communication is a must.
 
 
 </li>
 </ul>
 
 WHAT TAKEDA CAN OFFER YOU:
 
 
 
 <ul>
 <li>
 Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
 </li>
 <li>
 At Takeda, you take the lead on building and shaping your own career.
 </li>
 <li>
 Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.
 
 
 </li>
 </ul>
 
 BENEFITS:
 
 
 
 It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are
 
 
 <ul>
 <li>
 Competitive Salary + Performance Annual Bonus
 </li>
 <li>
 Flexible work environment, including hybrid working
 </li>
 <li>
 Comprehensive Healthcare Insurance Plans for self, spouse, and children
 </li>
 <li>
 Group Term Life Insurance and Group Accident Insurance programs
 </li>
 <li>
 Health &amp; Wellness programs including annual health screening, weekly health sessions for employees.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
 </li>
 <li>
 Broad Variety of learning platforms
 </li>
 <li>
 Diversity, Equity, and Inclusion Programs
 </li>
 <li>
 Reimbursements &ndash; Home Internet &amp; Mobile Phone
 </li>
 <li>
 Employee Referral Program
 </li>
 <li>
 Leaves &ndash; Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
 
 
 </li>
 </ul>
 
 ABOUT ICC IN TAKEDA:
 
 
 
 <ul>
 <li>
 Takeda is leading a digital revolution. We&rsquo;re not just transforming our company; we&rsquo;re improving the lives of millions of patients who rely on our medicines every day.
 </li>
 <li>
 As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
 
 
 </li>
 </ul>
 
 Locations:
 
 
 
 IND - Bengaluru
 
 
 
 Worker Type:
 
 
 
 Employee
 
 
 
 Worker Sub-Type:
 
 
 
 Regular
 
 
 
 Time Type:
 
 
 
 Full time
</div>

Data Scientist

Abnormal AI

<div>
 At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email and collaboration application cyber security attacks. Our relentless pursuit involves crafting an exceptional suite of products that empowers customers to seamlessly visualize, expertly control, and fearlessly combat cyber-security threats.
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 <ul>
 <li>
 Ownership &amp; Impact: You&rsquo;re growth-oriented, take ownership of your work, and are eager to make a significant impact.
 </li>
 <li>
 Continuous Learner: Looking to grow as an engineer as part of a strong team, learning from established engineers, product managers, and designers.
 </li>
 <li>
 Strong Communicator: You excel in communication, with the ability to work autonomously and asynchronously with different teams.
 
 
 </li>
 </ul>
 
 Must Have Skills
 
 
 
 <ul>
 <li>
 1+ years of professional experience in software development.
 </li>
 <li>
 Hands-on experience in backend development using Python, with exposure to cloud-native environments.
 </li>
 <li>
 Working knowledge with SQL, noSQL DB
 </li>
 <li>
 Familiarity with LLM's and AI development tools such as Cursor, GitHub Copilot, or Claude
 </li>
 <li>
 Experience / passion in building scalable, enterprise-grade applications.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Strong fundamentals in computer science, data structures, and performance optimization.
 
 
 </li>
 </ul>
 
 Nice To Have Skills
 
 
 
 <ul>
 <li>
 Familiarity with Golang, React, Next
 </li>
 <li>
 Familiarity with ChatGPT, Cursor and other GenAI productivity tools.
 </li>
 <li>
 Familiarity with Django and GraphQL
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 As part of our engineering team, you will:
 
 
 <ul>
 <li>
 Leverage AI-powered Development &ndash; Use Cursor, Copilot, and other AI tools to enhance productivity, optimize workflows, and automate repetitive tasks.
 </li>
 <li>
 Develop Data-Driven Applications &ndash; Build consumer-grade interfaces and APIs that power our advanced behavioral AI insights.
 </li>
 <li>
 Combat Modern Cyber Threats &ndash; Design and deploy secure, scalable systems that detect and prevent sophisticated cyberattacks.
 </li>
 <li>
 Collaborate with Fortune 500 Enterprises &ndash; Work with customers and security teams to rapidly iterate and deliver impactful solutions.
 </li>
 <li>
 Build at Scale &ndash; Design backend services and cloud architectures that support billions of security events across enterprises worldwide.
 
 
 </li>
 </ul>
 🚀 Ready to be part of AI transformation at Abnormal AI? Apply Now!
 
 
 Once you apply, you&rsquo;ll be invited to our AI-powered Development Challenge, where you&rsquo;ll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2-4 hours of work to be completed within one week - apply when you&rsquo;re ready!
 
 
 Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please
 
 click here
 
 . If you would like more information on your EEO rights under the law, please
 
 click here
 
 .
</div>

Software Engineer I - Backend

GE HealthCare

<div>
 
 Job Description Summary
 
 
 
 We are seeking enthusiastic and innovative developers to join our Cybersecurity R&amp;D team. You&rsquo;ll be part of a dynamic group that builds cutting-edge security and privacy analysis tools powered by generative AI. This role blends prompt engineering, scripting, and app development to create intelligent solutions that support penetration testing and threat analysis and cloud security solutions. If you're passionate about AI, security, and building tools that make a real impact, we&rsquo;d love to meet you.
 
 
 GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
 
 
 
 Job Description
 
 
 
 
 Roles and Responsibilities:
 
 
 
 Tool Development &amp; Engineering
 
 
 <ul>
 <li>
 Design and build GenAI-powered tools that support penetration testing, threat modelling, and privacy analysis.
 </li>
 <li>
 Develop modular, scalable scripts and applications using Python, JavaScript, or other relevant languages to automate security workflows.
 </li>
 <li>
 Integrate LLM APIs (e.g., OpenAI, Azure OpenAI) into internal tools for intelligent automation and analysis.
 
 
 </li>
 </ul>
 Prompt Engineering &amp; AI Workflows
 
 
 <ul>
 <li>
 Craft, test, and optimize prompts for various GenAI models to perform tasks like vulnerability triage, report generation, and code analysis.
 </li>
 <li>
 Fine-tune prompt strategies for accuracy, consistency, and security relevance.
 </li>
 <li>
 Collaborate with security analysts to translate domain-specific needs into effective GenAI interactions.
 
 
 </li>
 </ul>
 Security &amp; Privacy Awareness
 
 
 <ul>
 <li>
 Work closely with PEN testers and security researchers to understand real-world attack scenarios and build tools that simulate or defend against them.
 </li>
 <li>
 Ensure all developed tools follow secure coding practices and respect privacy principles.
 </li>
 <li>
 Stay informed about emerging threats and vulnerabilities that could impact GenAI systems or outputs.
 
 
 </li>
 </ul>
 Experimentation &amp; Innovation
 
 
 <ul>
 <li>
 Prototype new ideas using GenAI for use cases like phishing detection, exploit generation, or secure code review.
 </li>
 <li>
 Evaluate and compare different GenAI models and frameworks for performance, cost, and suitability.
 </li>
 <li>
 Contribute to internal research on the intersection of AI and cybersecurity
 
 
 </li>
 </ul>
 Collaboration &amp; Communication
 
 
 <ul>
 <li>
 Participate in agile development cycles, sprint planning, and team stand-ups.
 </li>
 <li>
 Communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Contribute to knowledge sharing through demos, write-ups, and internal workshops
 
 
 </li>
 </ul>
 
 Education Qualification
 
 
 
 Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) or IT or cybersecurity with a minimum of 2+ years of experience with programming experience in Python or JavaScript.
 
 
 
 Required Qualification
 
 
 
 <ul>
 <li>
 You should be comfortable writing and refining prompts for large language models, building scripts or tools to support cybersecurity tasks, and collaborating with a team to turn ideas into working prototypes. Any exposure to GenAI frameworks, APIs, or security concepts like OWASP or CTFs will be a big plus.
 
 
 </li>
 </ul>
 
 Inclusion and Diversity
 
 
 
 GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
 
 
 We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership &ndash; always with unyielding integrity.
 
 
 Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you&rsquo;d expect from an organization with global strength and scale, and you&rsquo;ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 Relocation Assistance Provided:
 
 Yes
 
 
</div>

Software Engineer

Anyscale

<div>
 
 About Anyscale
 
 
 
 At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We&rsquo;re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
 
 
 With Anyscale, we&rsquo;re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
 
 
 Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Docs Engineering Lead
 
 to own the end-to-end systems, tooling, and infrastructure that power Anyscale&rsquo;s documentation experience &mdash; including both the Anyscale product documentation and the open-source Ray documentation.
 
 
 Documentation is one of the most important surfaces for how developers experience Anyscale. In this role, you will architect, build, and operate the platform that enables technical writers, engineers, and contributors across the company to produce clear, accurate, and high-quality content at scale. You&rsquo;ll combine deep engineering skills with an obsession for information architecture, contributor experience, and technical content delivery.
 
 
 This is a
 
 Lead IC role
 
 with high autonomy, broad visibility, and significant cross-functional influence. You&rsquo;ll collaborate closely with technical writers (your primary internal customers), engineers, designers, product managers, and marketing to deliver a best-in-class docs experience.
 
 
 
 What You&rsquo;ll Own
 
 
 
 <ul>
 <li>
 End-to-end ownership of documentation tooling, build systems, and infrastructure for both Anyscale and Ray.
 </li>
 <li>
 Architecture and implementation of the front-end documentation experience, including dynamic elements, UI components, and contributor workflows.
 </li>
 <li>
 All developer-focused aspects of documentation hygiene: CLI/SDK reference generation, code example CI, versioning, testing, and automation pipelines.
 </li>
 <li>
 Contributor experience tooling that enables technical writers and engineers to work efficiently, accurately, and confidently.
 </li>
 <li>
 Documentation hosting, deployment strategy, CDN configuration, observability, analytics, and SEO fundamentals.
 
 
 </li>
 </ul>
 Technical implementation of
 
 AI-augmented documentation tooling
 
 in collaboration with internal AI/ML and product teams.
 
 
 
 What You&rsquo;ll Work On
 
 
 
 <ul>
 <li>
 Build and maintain the full docs engineering stack using Python and JavaScript.
 </li>
 <li>
 Implement dynamic components, automated documentation workflows, and extensions for Docusaurus (Anyscale docs) and tooling improvements around Sphinx (Ray OSS docs).
 </li>
 <li>
 Design systems that generate dynamic CLI and SDK reference docs, pulling from code, schemas, or OpenAPI-like definitions.
 </li>
 <li>
 Create custom plugins and tooling for authoring, validation, versioning, and content automation.
 </li>
 <li>
 Develop tests and validation pipelines for code examples, tutorials, walkthroughs, and other executable content.
 </li>
 <li>
 Define and enforce patterns, style guidelines, and branding across documentation surfaces, with collaboration from Design and Marketing.
 </li>
 <li>
 Partner with AI/ML teams to explore or integrate chatbot assistants, generative content workflows, LLM-based quality checks, or other intelligent doc systems.
 </li>
 <li>
 Improve documentation discoverability through analytics, structure, metadata, and lightweight SEO improvements.
 </li>
 <li>
 Drive contributor UX across engineering, product, field teams, and the OSS Ray community &mdash; enabling fast, safe, and scalable content contributions.
 
 
 </li>
 </ul>
 
 What Makes This Role Unique
 
 
 
 <ul>
 <li>
 Docs as a first-class product surface: You&rsquo;ll shape a developer-facing experience that is critical to how users learn, adopt, and scale with Anyscale.
 </li>
 <li>
 High leverage: By empowering contributors and writers, you multiply the productivity of the entire engineering organization.
 </li>
 <li>
 Hybrid strategic + hands-on: You&rsquo;ll set technical direction and architecture while also building systems end-to-end.
 </li>
 <li>
 Cross-company visibility: Your work impacts product, DevEx, marketing, OSS, and the AI platform itself.
 
 
 </li>
 </ul>
 
 Freedom to innovate:
 
 Our Docusaurus-based system supports arbitrary JS integrations, enabling deep customization and experimentation.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong software engineering background with Python and JavaScript (both mandatory).
 </li>
 <li>
 Experience building or maintaining documentation platforms, content engineering systems, or developer-facing web properties.
 </li>
 <li>
 Familiarity with at least one major docs ecosystem: Docusaurus, Sphinx, MkDocs, Next.js/SSG, or similar.
 </li>
 <li>
 Experience with CI/CD, build pipelines, deployment automation, and versioning systems.
 </li>
 <li>
 Understanding of CDNs, caching strategy, hosting architectures, and doc site observability.
 </li>
 <li>
 Experience integrating analytics tools (Google Analytics, Search Console, Pendo, etc.).
 </li>
 <li>
 Strong grasp of information architecture and UX considerations for technical audiences (DevOps, ML engineers, data engineers, data scientists).
 </li>
 <li>
 Ability to design contributor-friendly workflows and collaborate closely with technical writers.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience supporting or migrating large-scale documentation systems.
 </li>
 <li>
 Experience building reusable components with React and CSS modules.
 </li>
 <li>
 Familiarity with the Ray ecosystem, distributed computing, or AI/ML infrastructure.
 </li>
 <li>
 Exposure to containerized development workflows (Docker) or Kubernetes.
 </li>
 <li>
 Experience integrating or enabling AI-assisted documentation workflows.
 </li>
 <li>
 Experience working on developer tools at a SaaS or enterprise technology company.
 </li>
 <li>
 Contributions to open-source docs or content tooling.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You care deeply about documentation as a product, and you understand how much great docs impact developer adoption and success.
 </li>
 <li>
 You are excited about shaping and delivering a best-in-class documentation experience &mdash; both for end users and for internal contributors.
 </li>
 <li>
 You see technical writers as your core stakeholders and design systems that amplify their impact.
 </li>
 <li>
 You have a product mindset, strong UX intuition, and an instinct for how developers learn.
 </li>
 <li>
 You enjoy collaborating with technical and non-technical partners, and you thrive in highly cross-functional environments.
 </li>
 <li>
 You take end-to-end ownership, from architecture to implementation to ongoing maintenance.
 </li>
 <li>
 You&rsquo;re comfortable working in a fast-moving environment with high autonomy and high expectations.
 
 
 </li>
 </ul>
 
 Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
 
 
 
 
 
 Anyscale Inc. is an E-Verify company and you may review the
 
 
 
 
 Notice of E-Verify Participation
 
 
 
 
 and the
 
 
 
 
 Right to Work posters in English and Spanish
 
 
</div>

Docs Engineering Lead

<div>
 
 Overview
 
 
 
 Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents &ndash; which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows.
 
 
 M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Product Manager in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot&rsquo;s extensible platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats &ndash; at the same time!
 
 
 We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment &ndash; predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX.
 
 
 The ideal candidate for this role is an experienced "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. This must be demonstrated using real examples of rapid solution prototyping.
 
 
 We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform to transform how people and companies work using generative AI. Your peers will be among the top professionals in the industry, sharing a strong focus on customer and partner success. This role involves interacting with partners and customers, and occasional travel within and outside the base location is expected.
 
 
 We believe that we are rewiring productivity for the next 30 years! If you love taking on challenges and delivering nonlinear impact in a fast-paced environment, we want to speak with you!
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize 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
 
 
 
 <ul>
 <li>
 Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers
 </li>
 <li>
 Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers&rsquo; vision to life.
 </li>
 <li>
 Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy
 </li>
 <li>
 Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec&rsquo;ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products
 </li>
 <li>
 Get exposure to 100s of diverse scenarios working alongside customers &amp; partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike!
 </li>
 <li>
 Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications
 </li>
 <li>
 Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers
 </li>
 <li>
 Develop and drive strategic initiatives to enable &ldquo;hockey stick&rdquo; ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships
 </li>
 <li>
 Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts
 </li>
 <li>
 Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected)
 </li>
 <li>
 Embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree AND 2+ years experience in product/service/program management or software development
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Previous experience with proven success in working on customer-facing technical engagements
 </li>
 <li>
 Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc.
 </li>
 <li>
 Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must.
 </li>
 <li>
 Strong executive presence and ability to think analytically and creatively on your feet
 </li>
 <li>
 The ability to wear many hats and speak many language &ndash; from business to product to design to technical &ndash; learn quickly and change direction when needed
 </li>
 <li>
 Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements
 </li>
 <li>
 Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset
 </li>
 <li>
 The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space
 </li>
 <li>
 Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills
 </li>
 <li>
 Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity
 </li>
 <li>
 Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical
 </li>
 <li>
 Good problem-solving skills and ability to think strategically on the feet
 </li>
 <li>
 Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology
 </li>
 <li>
 Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product &amp; growth decisions.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 8+ years of product management experience with proven success in working with enterprise developer partners &amp; customers
 </li>
 <li>
 Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape
 </li>
 <li>
 Hands-on expertise with AI agents as a &ldquo;builder&rdquo; using low-code/no-code or pro-code tools or technical stacks
 </li>
 <li>
 Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.).
 
 
 </li>
 </ul>
 #Copilot
 
 
 #M365Copilot
 
 
 #CopilotExtensibility
 
 
 #CopilotPlatform
 
 
 #Agents
 
 
 #CopilotAgents
 
 
 #CAPE
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Product Manager II

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