Careers at Eightfold

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We're not just building software; we're shaping the future of how organizations find, manage, and empower their talent. Our groundbreaking AI platform is revolutionizing the industry, and we're looking for exceptional engineers to join our team and drive the next wave of advancements. Our AI-native enterprise talent intelligence platform leverages Gen AI, LLM, NNLP and deep Learning algorithms, global talent insights, and matching engines to empower organizations and individuals alike. About AI Team Our AI/ML team is the driving force behind Eightfold's cutting-edge solutions. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management. The AI Agents team at Eightfold.ai is at the forefront of developing intelligent, autonomous systems that will redefine talent management. We are building cutting-edge agentic AI that can proactively assist users, automate complex workflows, and provide personalized insights. Our work directly impacts millions of users and shapes the future of how people connect with opportunities. Responsibilities Lead and inspire:  Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration. Architect and implement:  Design and build scalable, robust, and efficient ML pipelines that power our core products. Innovate and optimize : Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability. Solve complex problems:  Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics. Stay ahead of the curve:  Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields. Design and Development:  Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powered applications Lead GenAI services and APIs that integrate a wide range of generative models into Adobe\u2019s flagship products. What You Bring Real Experience:  Min 8+ years of relevant experience in Machine learning, including production-scale models Deep Expertise: \u00a0Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale. GenAI &amp; Large Language Model (LLM) :\u00a0 Experience in GenAi, developing and deploying LLM-powered applications, Knowledge of LLM fine-tuning techniques and optimization strategies. Understanding of LLM ethical considerations and biases Technical leadership: \u00a0Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-solving mindset: \u00a0Ability to analyze complex problems, think critically, and develop innovative solutions. Passion for AI: \u00a0A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world. Advanced skills: \u00a0Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, etc.), as well as experience with big data technologies (Hadoop, Spark). Strong CS fundamentals and coding languages (Python, C/C++, Java, Scala, R) Nice to Haves MInimum of 7-10+ years of relevant work experience in ML and AI MS or PhD in Computer Science with specialization in AI. Publications in top-tier AI conferences Contributions to open-source ML projects Agentic AI. Strong understanding of agent-based modeling, reinforcement learning, and autonomous systems. Experience building and deploying AI agents in real-world applications. Why Join Eightfold.ai? Be part of a team that is revolutionizing HR technology with AI. Work on cutting-edge AI agents and agentic AI that will shape the future of work. Collaborate with talented and passionate individuals. Make a real impact on millions of users worldwide. Enjoy a dynamic and supportive work environment. Love to innovate and help build the future of AI-powered talent intelligence. Pay Transparency Please note this role is categorized as onsite or hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role is eligible for bonus and equity awards. Compensation varies depending on a number of factors, including qualifications, skills, competencies, experience, and zone.  Zones are determined by location.\u00a0 Santa Clara, CA is in Zone A.  Zone A: Base annual salary range: USD $239,000 to $282,000 + discretionary performance bonus up to 20% + preIPO equity (stock). Hybrid Work @ Eightfold:  We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting May 01, 2025, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office 3 days per week. Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for\u00a0employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.\u00a0 Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. #LI-Hybrid", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68747878638", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68747450529, "name": "Staff Machine Learning Engineer", "location": "Bengaluru, Karnataka, India", "locations": ["Bengaluru, Karnataka, India"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1743059843, "t_create": 1743059628, "ats_job_id": 68747450529, "display_job_id": 68747450529, "type": "ATS", "id_locale": "68747450529-en", "job_description": "About Eightfold.ai Eightfold.ai is at the forefront of innovation in the AI-driven HR tech space. We're not just building software; we're shaping the future of how organizations find, manage, and empower their talent. Our groundbreaking AI platform is revolutionizing the industry, and we're looking for exceptional engineers to join our team and drive the next wave of advancements. About the AI/ML Team Our AI/ML team is the driving force behind Eightfold's cutting-edge solutions. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management. What You Will Do Lead and inspire: Mentor and guide a team of talented ML Engineers, fostering a culture of innovation and collaboration. Architect and implement: Design and build scalable, robust, and efficient ML pipelines that power our core products. Innovate and optimize: Develop novel algorithms and continuously improve our existing models for performance, accuracy, and scalability. Solve complex problems: Tackle challenging real-world problems in areas like natural language processing, recommendation systems, and predictive analytics. Stay ahead of the curve: Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and other emerging fields. Design and Development: Implement scalable solutions using LLMs, Fine-tune LLMs for specific NLP tasks, Develop and deploy LLM-powered applications What You Bring Deep expertise: Strong foundation in Machine Learning, Deep Learning, and NLP, with a proven track record of developing and deploying ML models at scale. Technical leadership: Experience leading and mentoring teams, with excellent communication and collaboration skills. Problem-solving mindset: Ability to analyze complex problems, think critically, and develop innovative solutions. Passion for AI: A genuine enthusiasm for pushing the boundaries of AI and its applications in the real world. Advanced skills: Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, etc.), as well as experience with big data technologies (Hadoop, Spark). Strong CS fundamentals and coding languages (Python, C/C++, Hava, Scala, R) GenAI & Large Language Model: Experience in developing and deploying LLM-powered applications, Knowledge of LLM fine-tuning techniques and optimization strategies. Understanding of LLM ethical considerations and biases Nice to Haves MInimum of 6-10+ years of relevant work experience in ML and AI MS or PhD in Computer Science or a related field Publications in top-tier AI conferences Experience with GenAI, LLMs, and Transformers Contributions to open-source ML projects Join Us and Shape the Future of AI If you're a senior AI/ML engineer who's ready to make a real impact, we'd love to hear from you. Eightfold.ai offers a dynamic and rewarding environment where you'll have the opportunity to work on cutting-edge projects, collaborate with world-class experts, and accelerate your career growth. Join us and help build the future of AI-powered talent intelligence. Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week. Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. LI-Hybrid", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68747450529", "isPrivate": false, "latlongs": "12.9715987,77.5945627"}, {"id": 68747263926, "name": "Staff Machine Learning Engineer ( Agents / Agentic AI )", "location": "Santa Clara, CA, USA", "locations": ["Santa Clara, CA, USA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1744851940, "t_create": 1742346518, "ats_job_id": 68747263926, "display_job_id": 68747263926, "type": "ATS", "id_locale": "68747263926-en", "job_description": "Lead the research, design, development, and deployment of advanced AI agents and agentic systems. Architect and implement complex multi-agent systems, including planning, decision-making, and execution capabilities. Develop and integrate large language models (LLMs) and other state-of-the-art AI techniques to enhance agent autonomy and intelligence. Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale. Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions. Diagnose and troubleshoot issues in complex distributed environments and optimize system performance. Mentor junior engineers and contribute to the team's technical growth and knowledge sharing. Stay up-to-date with the latest advancements in AI research and agentic AI and apply them to our products. Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences. Contribute to the development of Copilot GenAI Workflows for Users, enabling chat-like command execution. Expertise in machine learning, large language models (LLM) and natural language processing (NLP). Strong understanding of agent-based modeling, reinforcement learning, and autonomous systems. Experience with large language models (LLMs), Generative models and their applications in agentic AI. Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. Min 6+ years of relevant AI and ML work experience. Experience including research work in agentic AI or related fields. Publications in top-tier AI conferences or journals is preferred Experience building and deploying AI agents in real-world applications. Strong understanding of distributed system design patterns and microservices architecture. Experience with message queuing systems (AWS SQS, Kafka). Hands-on experience with system integration patterns and API design. Excellent problem-solving and data analysis skills. Strong communication and collaboration skills. Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68747263926", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68747253469, "name": "Lead Technical Writer", "location": "noida", "locations": ["noida", "bangalore", "India"], "hot": 1, "department": "Product", "business_unit": "Unknown", "t_update": 1743593865, "t_create": 1742282835, "ats_job_id": 68747253469, "display_job_id": 68747253469, "type": "ATS", "id_locale": "68747253469-en", "job_description": "Work with product managers, UX, engineers, and customer support to develop excellent documentation for a variety of audiences. Deliver clear, concise, and well-structured documentation such as API reference docs, conceptual and task-based feature guides, tutorials, and release notes. Advocate for the developer experience, reducing friction points with excellent documentation. Design, draft and edit both internal and external technical and process documentation. Review, edit, and update existing documentation Update technical guides and product screenshots. Experience writing and managing content with CMS authoring tools. Ability to plan and research to understand the technical details of new products and features to create original technical documentation. Experience with common languages/frameworks like HTML, Markdown, JavaScript, CSS, and JSON. Experience writing for globalisation and accessibility. Ability to work independently in a fast-changing environment. Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68747253469", "isPrivate": false, "latlongs": "28.5355161,77.3910265"}, {"id": 68747140998, "name": "Engineering TLM (Technical Lead Manager)  - Data Platform ", "location": "Santa Clara, Ca, US", "locations": ["Santa Clara, Ca, US"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1744751283, "t_create": 1741395736, "ats_job_id": 68747140998, "display_job_id": 68747140998, "type": "ATS", "id_locale": "68747140998-en", "job_description": "Lead and mentor a team of senior platform engineers working on distributed systems and cloud infrastructure Actively participate in technical design and code reviews while contributing to core platform development Drive architectural decisions and technology choices for large-scale distributed systems Define and implement technical standards, best practices, and development workflows Manage sprint planning, technical debt, and project delivery timelines Collaborate with product management to define technical roadmaps and delivery schedules Foster a culture of engineering excellence, innovation, and continuous improvement Oversee system reliability, performance optimization, and scalability initiatives Lead hiring efforts to build and scale the platform engineering team Interface with other engineering leaders to ensure alignment across teams Hands-on involvement in architecture and development of distributed systems Guide implementation of microservices using Docker and Kubernetes Oversee AWS infrastructure design and optimization Direct integration strategies for third-party systems and APIs Lead performance optimization initiatives including caching, queuing, and throttling Drive adoption of emerging technologies where appropriate 10+ years of software engineering experience with 3+ years in engineering management Strong hands-on experience with distributed systems, cloud infrastructure, and microservices Deep understanding of containerization (Docker, Kubernetes) and cloud services (AWS) Experience with message queuing systems (SQS), search technologies (SOLR), and API design Track record of leading complex technical projects and architectural initiatives Proven ability to balance management responsibilities with hands-on technical contribution Experience scaling engineering teams and managing senior technical talent Strong understanding of agile methodologies and development practices Able to demonstrate strong coding proficiency Distributed systems architecture Cloud infrastructure and AWS services API design and integration patterns Performance optimization and scaling System monitoring and troubleshooting Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68747140998", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68746716792, "name": "Senior SDET  (Accessibility)", "location": "Bangalore, Karnataka, India", "locations": ["Bangalore, Karnataka, India"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1741677411, "t_create": 1739255661, "ats_job_id": 68746716792, "display_job_id": 68746716792, "type": "ATS", "id_locale": "68746716792-en", "job_description": "As an Engineer specialising in VPAT (Voluntary Product Accessibility Template) or WCAG (Web Content Accessibility Guidelines) Assessability, you will play a crucial role in ensuring that digital products, services, and platforms comply with accessibility standards for users with disabilities. You will utilize your technical expertise and in-depth knowledge of accessibility guidelines to assess, enhance, and maintain the accessibility of software applications and digital assets. Collaborating with cross-functional teams, you will lead accessibility initiatives, provide technical guidance, and drive the implementation of best practices to achieve inclusive design and development. Accessibility Assessments and Audits: Conduct comprehensive accessibility assessments of software applications, websites, and digital content to evaluate compliance with WCAG guidelines or VPAT requirements. Utilize automated testing tools, assistive technologies, and manual testing techniques to identify accessibility barriers and issues. Document assessment findings, prioritize accessibility gaps, and provide actionable recommendations for remediation. Accessibility Integration and Solutions: Collaborate with development teams to integrate accessibility considerations into the design, development, and testing phases of projects. Provide technical expertise in accessible design patterns, coding techniques, and assistive technologies to ensure inclusive user experiences. Implement accessibility solutions, including modifying code, adjusting markup, and enhancing user interfaces to meet WCAG or VPAT standards. Technical Guidance and Training: Offer technical guidance and mentorship to development teams, promoting accessibility best practices and standards. Provide training on accessibility principles, guidelines, and tools to raise awareness and improve the accessibility skill set of team members. Serve as a subject matter expert on accessibility-related topics, staying abreast of evolving standards, regulations, and emerging technologies. Collaboration and Communication: Collaborate with designers, product managers, and stakeholders to advocate for accessibility in the product development lifecycle. Communicate effectively with cross-functional teams, translating technical concepts into accessible language and providing guidance on accessibility requirements and solutions. Collaborate with quality assurance teams to ensure that accessibility is included in the testing process and that accessibility-related defects are identified and addressed. Accessibility Standards and Compliance: Stay up-to-date with accessibility laws, regulations, and standards, such as ADA, Section 508, WCAG, and VPAT. Keep abreast of accessibility-related advancements, research, and industry trends, and apply relevant knowledge to enhance accessibility practices within the organization. Contribute to the development and implementation of accessibility policies, guidelines, and strategies to ensure compliance with relevant standards. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. In-depth knowledge of WCAG guidelines (WCAG 2.1 or later) or VPAT requirements and their application in software development. Proficiency in using automated accessibility testing tools (e.g., Axe, WAVE, Lighthouse) and assistive technologies (e.g., screen readers, keyboard navigation) for accessibility assessments. Familiarity with accessibility-related technologies and frameworks (e.g., ARIA, responsive design, mobile accessibility). Experience in conducting accessibility audits and providing actionable recommendations for remediation. Excellent problem-solving skills and ability to troubleshoot accessibility issues. Professional certifications in accessibility, such as Certified Professional in Accessibility Core Competencies (CPACC) or Web Accessibility Specialist (WAS), are a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68746716792", "isPrivate": false, "latlongs": "12.9715987,77.5945627"}, {"id": 68746125125, "name": "Senior Software Engineer - FullStack - AI Web Applications", "location": "Santa Clara, CA", "locations": ["Santa Clara, CA"], "hot": 1, "department": "Engineering", "business_unit": "Unknown", "t_update": 1745611654, "t_create": 1734730896, "ats_job_id": 68746125125, "display_job_id": 68746125125, "type": "ATS", "id_locale": "68746125125-en", "job_description": "About Eightfold Eightfold is rapidly growing and revolutionizing talent management with AI. We are seeking exceptional engineers to join our team and help us build the next generation of our AI-powered talent platform. \ufeff About the Job As part of the Talent Management product dev team, you will build features for our AI-powered talent management product. You will be responsible for medium to large projects, owning technical design and execution. You will collaborate closely product manager, designers, and your tech lead to deliver these features. \ufeffResponsibilities Build the next generation of Talent Management software using cutting-edge technology (e.g., building agentic experiences with LLMs). Design and develop robust, scalable, and configurable applications and modules with an emphasis on quality, performance, design, and re-usability. Build and ship new software features and product enhancements. Collaborate with Product Management, Design, and the rest of Engineering to re-iterate and enhance our product and to create user-friendly interfaces and ensure a seamless user experience Participate in code reviews and provide constructive feedback to other engineers Write clean, maintainable, and testable code Stay up-to-date with emerging trends and technologies in frontend development Prototype new ideas and iterate toward the ideal user experience Participate in technical discussions and plans to improve our overall software quality\u00a0 Handle enterprise customer escalation issues as needed Qualifications BS/MS in Computer Science or equivalent experience preferred. 3-6+ years of hands-on experience in building and scaling user-facing products, preferably in the SaaS domain. Ability to write clean, scalable, and performant code. Strong understanding of scalability, reliability, and performance optimization Experience with search platforms (Solr, Lucene) and AI platforms is preferred. Ability to collaborate across functional and organizational boundaries.\u00a0 Our Tech Stack Languages &amp; Frameworks: Python, Flask, React, Typescript, Webpack, NextJS. Data &amp; Infrastructure: MySQL, Solr, Apache Airflow, Apache Spark, Docker. Cloud Services: Major AWS services like Aurora, S3, Redshift, Cloudformation, SNS, SQS. AI &amp; ML: Extensive use of ML models and LLMs. Pay Transparency Please note this role is categorized as onsite or hybrid in Santa Clara, CA The base salary ranges below are provided for pay transparency. Base pay is only one piece of our total compensation package as this role may be eligible for bonus and equity awards. Compensation varies depending on a number of factors including qualifications, skills, competencies, experience and zone. Zones are determined by location.\u00a0 Zone A is SF Bay Area, CA .  Zone A Base annual salary range: $154,000 to $181,000 + discretionary bonus up to `15% + preIPO equity (stock options). \ufeffHybrid Work @ Eightfold:  We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Starting February 1, 2024, employees residing near Santa Clara, California, or our Bangalore and Noida offices in India will return to the office twice a week. Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.\u00a0 \ufeffExperience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions. #LI-Hybrid", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://app.eightfold.ai/careers/job/68746125125", "isPrivate": false, "latlongs": "37.3541079,-121.9552356"}, {"id": 68745075378, "name": "Product Solutions Expert (Post go-live support & integrations)", "location": "Bangalore, Karnataka, India", "locations": ["Bangalore, Karnataka, India"], "hot": 1, "department": "Customer Support", "business_unit": "Unknown", "t_update": 1743182652, "t_create": 1728890818, "ats_job_id": 68745075378, "display_job_id": 68745075378, "type": "ATS", "id_locale": "68745075378-en", "job_description": "Eightfold was founded with a vision to solve for employment in our society. For decades, the connection between individuals and opportunities has been based on who they are and their network's strength vs. their potential. Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals and how jobs and career decisions are made. Eightfold offers the industry's first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers. To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world. If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be! About the team The Product Solutions Expert team is a high-profile and dynamic group of professionals dedicated to delivering exceptional value to our customers. The team's primary focus is on managing large enterprise customers, catering to their unique needs and ensuring their satisfaction. This involves handling day-to-day activities related to implementations, customer inquiries, addressing their challenges, and collaborating closely with customer advisors to provide tailored solutions. With its high-profile nature, exposure to top leadership and impactful engagements, the team stands as a trusted partner, contributing significantly to the organization's growth and success in the competitive market. What you will do (or learn to do) Serve as the trusted advisor to our enterprise clients to support them in the deployment and integration of Eightfold's AI products and solutions. Provide technical support to enterprise customers by modifying existing workflows or adding new features. Architect Eightfold innovative AI integrations between Eightfold and other ATS & HRIS systems for enterprise customers. Provide in-depth knowledge of Eightfold solutions and evaluate the customer's business processes. Configuring and customizing solutions/products/processes to achieve best results. Designing and implementing API and software integrations using JSON, ETL, XML, Python or SQL. Lead customer presentations and training on software solutions. Plan and facilitate weekly meetings, and workshops with internal and external stakeholders. Assist technical teams to develop solutions- including issues discovered from customer escalations. Lead technical teams through multi-phased delivery projects and provide hands-on delivery guidance. Conduct acceptance testing and technical documentation. Collaborate closely with Project Managers, Functional Consultants and Partners. What you bring: 2+ years of experience in consulting or industry- delivering enterprise-grade HCM solutions in cloud (SaaS) environments. Experience in HRIS/ATS implementations and knowledge in any of: Workday, SuccessFactors, Taleo, PeopleSoft, iCIMS, Oracle, Greenhouse etc. Proven history of serving in technical and customer-facing roles. Gathering requirements and design solutions. Hands-on experience with API development, JSON, SQL and Python. Skills in application programming, solutions design. Knowledge of Software-as-a-Service (SaaS) applications/platforms Hands on experience configuring software solutions for large enterprise clients. Strong interpersonal skills with the ability to communicate effectively including presentations, negotiation and persuasive skills. Advanced/fluent level of spoken English is a must. Brings industry experience and understands challenges and risks when implementing vertical applications. Passion and interest in leveraging modern AI to HR Technology. Can architect solutions to ensure that all work streams are cohesive and cross functional impacts are considered and mitigated. Strong customer relationship management and critical issue handling. Strong analytical skills and a demonstrable bias toward action. Can deal with ambiguity and thrive in a rapidly changing business environment. Ability to perform impact analysis, identify changes to business processes, perform testing, and effectively communicate with the business. Strong execution and delivery with end to end ownership of customer success Proven experience to mentor and train other team members. Degree in Computer Science, Engineering is preferred Big 4 consulting experience is a plus. \ufeffWe are a team of self-starters who excel in their fields. We believe in giving you responsibility, not a task. We want you to have ownership and pride in your work and see your work's positive impact on your colleagues, our customers, and the world. We believe in providing transparency and support so you can do the best work of your career. Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work. We are committed to creating a dynamic and flexible work environment that nurtures the collaborative spirit of our team. Employees residing near our Bangalore, and Noida offices are working from the office twice a week with the goal of transitioning to three times per week within the year. 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