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Amazon

<div>
 
 Description
 
 
 
 This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies &amp; Robotics teams by enabling automation, which includes real-time &amp; offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy.
 
 
 An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction.
 
 
 Key job responsibilities
 
 
 The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours&rsquo; time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair &amp; sufficient lighting (2) workspace / work related data shouldn&rsquo;t be accessed by anyone other than employee
 
 
 
 The Candidate Is Expected To Demonstrate
 
 
 
 <ul>
 <li>
 Willingness to work in Non-tech role for contract duration of 6 months
 </li>
 <li>
 Ability to audit image/video/text based Jobs
 </li>
 <li>
 Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention &amp; focus on screen
 </li>
 <li>
 Willingness to work on incremental targets/goals on quality &amp; productivity
 </li>
 <li>
 Fast Pace of implementation &amp; consistent performance
 </li>
 <li>
 Ability to work in rotational shifts (including night shifts), remote teams and exceptionally good team player
 </li>
 <li>
 Readiness to come to office for few days (when required, applicable for associates working from home)
 </li>
 <li>
 Willing to switch ON laptop camera while on virtual meetings.
 
 
 </li>
 </ul>
 A day in the life
 
 
 Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon&rsquo;s work policy.
 
 
 Weekly Offs: Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.
 
 
 
 About The Team
 
 
 
 Data Auditing Operations team provides human support to Amazon Fulfillment facilities with goal of enabling hands-free active stowing through visual audits on videos/images. Videos with brief duration (typically between 15 and 20seconds) are sent to Operations Team for humans to audit them with information on products being stored at fulfilment centers. For business use, these videos must be thoroughly reviewed and audited using best human judgement. The effectiveness of automated process will be increased by using videos that Associates have audited. This process helps maintaining stow quality at fulfillment center and Associate will be further evaluated for performance improvements/coaching.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Dev Center India - Hyderabad - A85
 
 
 Job ID: A2870616
</div>

Associate, ML Data Operations, GO-AI Operations

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Tech lead to build scalable end-to-end AI Systems that are focused on backend development
 </li>
 <li>
 Design, develop, and refine advanced AI models and algorithms, especially generative AI approaches. Includes writing code on AI product component modules, or prototypes, typically in python, but also leveraging database technologies&mdash;including vector, relational, NOSQL, messaging queues, front end interfaces, etc.
 </li>
 <li>
 Ensure alignment of AI engineering practices with enterprise AI architecture, strategy, and evolving technology stack
 </li>
 <li>
 Lead cross-functional teams in AI project execution, from ideation through deployment and continuous improvement
 </li>
 <li>
 Drive innovation in AI methodologies, tools, and frameworks to enable scalable and efficient model development
 </li>
 <li>
 Collaborate with data scientists, LLMOps/MLOps engineers, product managers, and business stakeholders to translate use cases into deployable AI solutions
 </li>
 <li>
 Oversee model deployment pipelines and infrastructure, ensuring robustness, security, and compliance
 </li>
 <li>
 Mentor junior AI engineers and foster continuous learning and knowledge sharing within AI teams
 </li>
 <li>
 Contribute to AI governance processes, including model validation, versioning, documentation, and audit-readiness
 </li>
 <li>
 Monitor and troubleshoot model performance in production environments, implementing retraining and enhancements as needed
 </li>
 <li>
 Stay up to date with industry advancements and evaluate their applicability within the enterprise AI ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Provides leadership in enterprise AI engineering, enabling innovation and technical excellence
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, or a related field; Master&rsquo;s or PhD preferred
 </li>
 <li>
 8+ years of professional experience in AI/ML engineering or AI System engineering (backend or full stack), with a strong track record of delivering production-grade AI solutions
 </li>
 <li>
 Strong expertise in some variety of programming languages, with an emphasis on Python. Advanced proficiency with some AI/ML frameworks (e.g., LangChain, TensorFlow, PyTorch)
 </li>
 <li>
 Deep understanding of machine learning algorithms, generative AI models, model optimization and parameter tuning techniques, and data pipelines
 </li>
 <li>
 Experience with AI platforms and cloud services, especially GCP, but exposure to AWS and Azure helpful.
 </li>
 <li>
 Knowledge of deployment principles and experience implementing scalable and secure model deployment workflows
 </li>
 <li>
 Strong leadership skills with experience guiding engineering teams and collaborating across multiple functions
 </li>
 <li>
 Ability to communicate AI concepts clearly and effectively to both technical and business stakeholders
 </li>
 <li>
 Passion for innovation and a growth mindset, with a commitment to continuous learning and development in the AI space Leadership &amp; Collaboration
 </li>
 <li>
 Build a psychologically safe, performance-driven team environment.
 </li>
 <li>
 Drive alignment with EDAA strategic objectives and foster knowledge-sharing across squads.
 </li>
 <li>
 Represent AI/ML Engineering in cross-functional reviews, steering groups, and enterprise wide architecture decisions.
 </li>
 </ul>
 
 
 
 
 
 Our Culture in Action We live our values every day:
 
 
 <ul>
 <li>
 Serve: We put our people and customers first.
 </li>
 <li>
 Inclusion: Everyone is welcome and respected.
 </li>
 <li>
 Integrity: We do the right thing, even when it&rsquo;s hard.
 </li>
 <li>
 Community: We show up for each other and our neighborhoods.
 </li>
 <li>
 Family: We grow stronger together.
 </li>
 <li>
 Equal Opportunity Statement McDonald&rsquo;s is an equal opportunity employer committed to building an inclusive and supportive environment. We celebrate diversity and are proud to be an organization where everyone can thrive. Accommodations are available for qualified individuals throughout the application and employment processes
 </li>
 </ul>
</div>

Senior AI Engineer - Manager [T500-19750]

MCO (MyComplianceOffice)

<div>
 
 
 About MCO:
 
 
 
 MCO&rsquo;s cloud-based compliance platform empowers organizations to reduce conduct risk by proactively managing the regulated activities of employees, vendors, and other third parties. Designed for flexibility and speed, our suite of modular, easy-to-deploy solutions ensures compliance teams can act quickly, demonstrate accountability, and reduce risk&mdash;all while keeping costs low.
 
 
 With compliance automation at its core, the MCO platform helps clients of all sizes stay ahead in a fast-changing regulatory landscape.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking an experienced and technically adept Product Owner (TPO) to join our expanding Product Management team. This is a critical role in the agile delivery of complex, enterprise-grade compliance solutions.
 
 
 You will act as the bridge between business, design, and engineering - owning the product backlog and driving the delivery of features that align with business outcomes and user needs. You will be involved in everything from requirements gathering and story writing to solution design and customer documentation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Backlog Ownership: Manage the product backlog for one or more functional areas, ensuring prioritization aligns with strategic goals.
 </li>
 <li>
 Requirements Gathering: Collaborate with stakeholders across business units to define and document both functional and non-functional requirements.
 </li>
 <li>
 User Story Development: Translate requirements into detailed user stories with clear, testable acceptance criteria suitable for 2-week sprint delivery.
 </li>
 <li>
 Design Validation: Work closely with the Design team to ensure stories meet user expectations and support intuitive user experiences.
 </li>
 <li>
 Technical Collaboration: Participate in grooming sessions and support task breakdowns and estimations with engineering.
 </li>
 <li>
 Solution Prototyping: Contribute to the ideation and prototyping of new features and enhancements.
 </li>
 <li>
 Release Communication: Own the creation of release notes and other external documentation for customer-facing product updates.
 </li>
 <li>
 Cross-Functional Liaison: Serve as the primary interface between Product Management, Engineering, and Design to drive alignment and execution.
 </li>
 </ul>
 
 
 
 
 
 Essential Qualifications:
 
 
 <ul>
 <li>
 8-10 years of experience in Product Management or Product Owner roles in large global, multinational SaaS or enterprise environments.
 </li>
 <li>
 Proven success delivering products built on Java, data-driven architectures, and APIs.
 </li>
 <li>
 Experience delivering or supporting AI/ML-powered features, such as intelligent alerts, predictive analytics, or NLP-driven workflows.
 </li>
 <li>
 Strong understanding of AI-enhanced user experiences, and ability to write product requirements that align AI capabilities with business value.
 </li>
 <li>
 Demonstrated success working in product-driven SaaS environments.
 </li>
 <li>
 Excellent verbal and written communication skills across technical and business audiences.
 </li>
 <li>
 Proficient in writing clear, testable user stories, functional and non-functional requirements, and acceptance criteria.
 </li>
 <li>
 Skilled in wireframing, data modeling (ERDs), SQL, and API integration.
 </li>
 <li>
 Strong problem-solving ability with attention to detail and a proactive mindset.
 </li>
 <li>
 Effective in both independent work and cross-functional collaboration within fast-paced, agile environments.
 </li>
 <li>
 Proficient in Agile methodologies and project management practices.
 </li>
 <li>
 Hands-on experience with JIRA, Confluence, or similar tools for backlog and documentation management.
 </li>
 <li>
 Strong analytical skills for feature validation, requirement refinement, and product performance assessment.
 </li>
 <li>
 Deep client insight and ability to align user needs with business goals.
 </li>
 <li>
 Experienced in collaborating with Architects/Tech Leads to design scalable solutions and challenge assumptions constructively.
 </li>
 <li>
 Skilled in negotiating trade-offs between scope, resources, and impact to align with product roadmaps.
 </li>
 <li>
 Contributes to strategic planning and long-term roadmap development.
 </li>
 <li>
 Adaptable and comfortable working in fast-paced, evolving environments.
 </li>
 <li>
 Able to operate in globally distributed teams across time zones and cultural contexts.
 </li>
 <li>
 UX sensibility and ability to partner with designers to shape intuitive user journeys and product experiences.
 </li>
 <li>
 Disciplined in backlog grooming, release planning, and sprint execution with agile teams.
 </li>
 <li>
 Awareness of change management practices and ability to support internal enablement and customer adoption.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Domain knowledge in Capital Markets, Trade Surveillance, Anti-Money Laundering, or Data Analytics tools.
 </li>
 <li>
 Familiarity with AI product lifecycle, including model validation, user feedback loops, and ethical implications.
 </li>
 <li>
 Exposure to tools like OpenAI, Hugging Face, or Azure ML from a product integration perspective.
 </li>
 <li>
 Demonstrated leadership in innovation initiatives, such as generative AI prototypes, automation pilots, or internal product accelerators.
 </li>
 <li>
 Familiarity with event-driven architecture and microservices in SaaS ecosystems.
 </li>
 <li>
 Experience using product analytics tools (e.g., Amplitude, Mixpanel, GA4) for KPI tracking and iteration planning.
 </li>
 <li>
 Knowledge of privacy and compliance frameworks (e.g., GDPR, SOC 2) and their implications on product decisions.
 </li>
 <li>
 Familiarity with BDD practices, including Gherkin-style acceptance criteria.
 </li>
 <li>
 Understanding of CI/CD and DevOps environments and their influence on delivery pipelines.
 </li>
 <li>
 Comfortable managing vendor integrations, particularly in regulated domains.
 </li>
 <li>
 Certified Scrum Product Owner (CSPO) or equivalent certification is a plus.
 </li>
 </ul>
 
 
 
 
 What We Value
 
 
 
 
 <ul>
 <li>
 We&rsquo;re looking for someone who&rsquo;s not just technically capable but also brings product passion, business acumen, and a collaborative spirit. You&rsquo;ll thrive at MCO if you&rsquo;re self-driven, eager to learn, and excited about making an impact in a mission-critical product area.
 </li>
 </ul>
 
 
 
 
 Interested candidates can send their updated resumes to
 
 praveen.gujar@mycomplianceoffice.com
 
 
 
 
</div>

Product Owner

Turing

<div>
 
 
 About Turing:
 
 
 
 Turing is one of the world&rsquo;s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
 
 
 Turing helps customers in two ways: Working with the world&rsquo;s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
 
 
 
 
 
 
 Role Overview:
 
 
 
 In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong finance background, analytical thinking and English comprehension skills.
 
 
 The ideal candidate should have the ability to read, summarize, and break down large financial content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles!
 
 
 
 
 
 The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
 
 
 
 
 
 
 What You'll Do Day-to-Day:
 
 
 <ul>
 <li>
 Solve complex financial and logical reasoning problems that test and train LLMs.
 </li>
 <li>
 Analyze financial statements, models, and business scenarios to assess accuracy and factual consistency.
 </li>
 <li>
 Summarize financial reports or investment theses and validate claims through online research.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Qualification: Cleared CFA Level 1/2/3, or or have completed their CA / CPA certification or completed their MBA in Finance.
 </li>
 <li>
 Strong understanding of financial concepts, accounting principles, and investment analysis.
 </li>
 <li>
 Analytical mindset with the ability to research, verify, and reason logically.
 </li>
 <li>
 Excellent English comprehension and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in roles such as: Financial Analyst, Financial Writer, Investment Analyst, Audit Associate, etc.
 </li>
 <li>
 Familiarity with tools like Excel, Google Sheets, and financial modeling.
 </li>
 <li>
 Proficiency in quantitative reasoning, logical deduction, and data interpretation.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing with Turing:
 
 
 <ul>
 <li>
 Work on the cutting edge of AI and finance.
 </li>
 <li>
 Fully remote and flexible work environment.
 </li>
 <li>
 Exposure to advanced LLMs and insight into how they&rsquo;re trained.
 </li>
 </ul>
 
 
 
 
 
 Evaluation Process:
 
 
 <ul>
 <li>
 Shortlisted experts may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Finance & Research Analyst - 33806

<div>
 
 
 About Turing:
 
 
 
 Turing is one of the world&rsquo;s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
 
 
 Turing helps customers in two ways: Working with the world&rsquo;s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
 
 
 
 
 
 
 Role Overview:
 
 
 
 In this role, you will be working on projects to help fine-tune large language models (like ChatGPT) using your strong finance background, analytical thinking and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large financial content into smaller logical blocks, conduct research online, validate claims made in content through online research, and work with the LLM (Large Language Models) to solve puzzles! The projects will also help you learn how to leverage AI to be a better analyst. This is your chance to future-proof your career in an AI-first world!
 
 
 
 
 
 
 What You'll Do Day-to-Day:
 
 
 <ul>
 <li>
 Solve complex financial and logical reasoning problems that test and train LLMs.
 </li>
 <li>
 Analyze financial statements, models, and business scenarios to assess accuracy and factual consistency.
 </li>
 <li>
 Summarize financial reports or investment theses and validate claims through online research.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Qualification: Cleared CFA Level 1/2/3, or or have completed their CA / CPA certification or completed their MBA in Finance.
 </li>
 <li>
 Strong understanding of financial concepts, accounting principles, and investment analysis.
 </li>
 <li>
 Analytical mindset with the ability to research, verify, and reason logically.
 </li>
 <li>
 Excellent English comprehension and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in roles such as: Financial Analyst, Financial Writer, Investment Analyst, Audit Associate, etc.
 </li>
 <li>
 Familiarity with tools like Excel, Google Sheets, and financial modeling.
 </li>
 <li>
 Proficiency in quantitative reasoning, logical deduction, and data interpretation.
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing with Turing:
 
 
 <ul>
 <li>
 Work on the cutting edge of AI and finance.
 </li>
 <li>
 Fully remote and flexible work environment.
 </li>
 <li>
 Exposure to advanced LLMs and insight into how they&rsquo;re trained.
 </li>
 </ul>
 
 
 
 
 
 Evaluation Process:
 
 
 <ul>
 <li>
 Shortlisted experts may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Business Analyst (Finance) - 33806

Google Operations Center

<div>
 
 Join Us!
 
 
 
 At Google Operations Center we help Google users and customers solve problems and achieve their goals&mdash;all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!
 
 
 The Process Excellence Specialist will be responsible to lead an improvement agenda for the vertical and work closely with Senior Stakeholders, including Clients. S/he is responsible to ensure smooth delivery on functional and vertical goals of the site in alignment with the global level and charter agenda that covers: Optimization, Productivity Improvement, Customer centricity, Customer experience elevation. Through Continuous Improvement or Transformative ideas, drive improvements to all customer facing metrics like CSAT, Quality, Turn around time, wait time and for the organization enhance productivity, Accuracy, Quality and Resource Utilization by using LSS methodologies &amp; DNA building within the Organization.
 
 
 
 Position Responsibilities
 
 
 
 <ul>
 <li>
 Spearheading Process Excellence / Customer Experience by developing and deploying Service Excellence framework; focussing on creating best in class user experience/ or customer delight
 </li>
 <li>
 Evaluate current current and to-be-transitioned processes including flow chart, value stream maps, performance metrics, Systems and tools , Customer Journey, Agent Journey to determine Gaps, Opportunities and optimize process performance &amp; Leads handover process and documentation to Operation
 </li>
 <li>
 Assist the teams is establishing the right business performance standards, set the right improvement goals in each step and collaborate with operations on designing the process to attain such metrics, reduce variation in critical business processes
 </li>
 <li>
 Be independent and sole owner of Process Excellence / Continuous Improvement for the site and act as change agent for each assigned improvement / Transformation
 </li>
 <li>
 Act as the liaison between relevant stakeholders to help them determine appropriate synergies and document dependencies, dates, schedules, project owners and linkages that are critical for the success of transformation activities.
 </li>
 <li>
 Work collaboratively with the leadership team, Portfolio Owner , Business Verticals &amp; their Leadership team to understand goals and objectives related to the user experience needs, create Continuous improvement (CI) agenda and deliver on it by designing and executing programs to bring Transformational Opportunities , Elevate Customer experience and deliver Business Values using established tools and framework
 </li>
 <li>
 Build relationships with other regions and Global teams in order to support identification, review, prioritization and execution of key opportunities across Sites / Verticals
 </li>
 <li>
 Coaches project team on required topics according to the specific needs of the process &amp; Provide lean trainings to the team/and other members, where needed
 </li>
 <li>
 Represent GOC Site / Vertical aligned to in Business Reviews with GOC Leadership / Vertical Leadership
 </li>
 <li>
 Understanding of new age trends on Technology and be able to identify processes that can be automated and deliver on the same by working closely with the development team
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 3-6 yrs of overall Service Sector experience with expertise in Process Transformation and Operational Excellence in BPO environment
 </li>
 <li>
 Experience with Lean tools such as value stream mapping, 5S, standard work, 5 Why Analysis, etc &amp; LSS certification - Green or Black belt
 </li>
 <li>
 Capable of applying problem solving LSS methodologies to propose corrective action plans, including root cause analysis and preventative measures proposal
 </li>
 <li>
 Capable of identifying Transformative Opportunities to bring in exponential Business Value
 </li>
 <li>
 Knowledge in Automation (RPA, ML, AI &amp; cognitive is a plus)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 We support you with competitive wages and comprehensive health care including medical, dental and vision coverage
 </li>
 <li>
 We support your family with gender-neutral baby bonding leave, 14 week birth-parent maternity leave, and generous life, accident and disability insurance minimums
 </li>
 <li>
 Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences
 
 
 </li>
 </ul>
 At the Google Operations Center, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our products, and our community. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
 
 
 Information collected and processed as part of your GOC jobs profile, and any job applications you choose to submit is subject to GOC's Applicant and Candidate Privacy Policy
 
 .
 
 
 
 
 Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at
 
 goc-candidate-global@googleoperationscenter.com
 
 .
 
</div>

Process Excellence Specialist

Swiggy

<div>
 Way of Working - Office/Field - Employees will work full-time from their base location
 
 
 Swiggy is India's leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation.
 
 
 Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India.
 
 
 From starting out as a hyperlocal food delivery service in 2014, to becoming a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees.
 
 
 With Swiggy's New Supply and the recent launches of Swiggy Instamart, Swiggy Genie, and Guiltfree, we are consistently making waves in the market, while continually growing the opportunities we offer our people.
 
 
 Role &ndash; Sales Manager
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Serve as the primary point of contact for assigned client accounts, understanding their goals, needs, and challenges.
 </li>
 <li>
 Develop account strategies to overcome the challenges and action plans to meet client objectives and maximize account growth as per the target
 </li>
 <li>
 Conduct regular F2F business reviews with clients, discussing performance, identifying areas for improvement, and presenting new opportunities.
 </li>
 <li>
 Track and analyze account performance, sales data, account funnel, and market trends to identify opportunities and challenges.
 </li>
 <li>
 Drive business growth for newly onboarded partners by working on their basic hygiene and health metrics
 </li>
 <li>
 Deliver Incremental Revenue from the assigned clients through monetization and commercial improvements.
 </li>
 <li>
 Deliver incremental counter share for all assigned clients by strategic planning to dominate market share.
 </li>
 <li>
 Maintaining a strong relationship with restaurant owners and delivering best-in-class restaurant NPS.
 </li>
 <li>
 Collaborate with internal teams to coordinate and deliver exceptional service to clients, addressing any issues or concerns promptly..
 </li>
 <li>
 Generate leads and proactively approach potential clients, presenting our value proposition and securing new partnerships.
 
 
 </li>
 </ul>
 
 Desired Candidate
 
 
 
 <ul>
 <li>
 Graduate with excellent communication skills.
 </li>
 <li>
 Good working knowledge and experience of e-commerce activities and all online marketing channels
 </li>
 <li>
 Confident, Pleasing and a go-getter personality
 </li>
 <li>
 Effective communication skills
 </li>
 <li>
 Attitude &amp; Aptitude for Sales
 </li>
 <li>
 Should be a team player, working alongside people from all walks of life.
 </li>
 <li>
 Analytical, good Excel skills.
 </li>
 <li>
 Leadership and Influencing skills: Identify, builds, and use a wide network of contacts with people at all levels, internally and externally. Achieves a good result through a well-planned approach.
 </li>
 <li>
 Initiative &amp; Flexibility: Recognizes the need to adapt to change &amp; implement appropriate solutions. Be able to identify opportunities and recommend/influence change to increase the effectiveness and success of campaigns.
 </li>
 <li>
 Creativity &amp; Initiative: Demonstrate creativity &amp; originality in their work and have the personal drive and initiative to bring about change and help drive the business forward.
 </li>
 <li>
 Being the face of Swiggy in the market and standing up for the values we believe in.
 
 
 </li>
 </ul>
 
 Key Skills Required
 
 
 
 <ul>
 <li>
 P&amp;L Understanding
 </li>
 <li>
 Market Research and Intelligence
 </li>
 <li>
 Customer Lifetime Value
 </li>
 <li>
 Business Development
 </li>
 <li>
 Data Logic
 </li>
 <li>
 Data Interpretation
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 MS Excel
 </li>
 <li>
 Data Analysis
 </li>
 <li>
 Result Orientation
 </li>
 <li>
 Managing Relationships
 </li>
 <li>
 Conflict Management
 </li>
 <li>
 Problem-Solving
 
 
 </li>
 </ul>
 "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, colour, religion, sex, disability status, or any other characteristic protected by the law"
</div>

Sales Manager II

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