Channel Sales for Nutanix Product

Job Summary:

The Localization Project Coordinator supports the planning, execution, and delivery of multilingual localization projects, ensuring content is accurately translated and culturally adapted for target markets while meeting deadlines, quality standards, and budget requirements.

Key Responsibilities:

• Coordinate end-to-end localization projects including translation, proofreading, QA, desktop publishing (DTP), and delivery.
• Act as the primary point of contact between clients, linguists, vendors, and internal teams.
• Create project timelines, assign resources, and monitor progress to ensure on-time delivery.
• Prepare project files, instructions, glossaries, translation memories, and reference materials.
• Manage vendor communication including freelance translators, editors, and language service providers.
• Track project status, risks, issues, and escalations; proactively resolve bottlenecks.
• Conduct quality checks to ensure translated content meets linguistic and formatting standards.
• Maintain project documentation, reports, and billing-related records.
• Coordinate with engineering/product/content teams for file preparation and technical localization requirements.
• Use localization tools (CAT tools/TMS) to manage workflows and assets.
• Support continuous process improvement for localization operations.

Required Skills:

• Strong project coordination and organizational skills
• Excellent communication and stakeholder management
• Ability to manage multiple projects under tight deadlines
• Attention to detail and quality focus
• Problem-solving and escalation management
• Vendor management experience
• Time management and prioritization

Preferred Tools / Technical Knowledge:

• CAT tools: SDL Trados, MemoQ, Smartcat, Phrase, XTM
• TMS platforms
• Excel / Google Sheets
• Jira / Asana / Monday.com
• Basic understanding of file formats: XML, HTML, JSON, InDesign, MS Office

Qualifications:

• Bachelor’s degree in Business, Languages, Communications, Project Management, or related field
• 0–1 years of project coordination / localization / operations experience
• CAPM/PMP certification (nice to have)

Common KPIs:

• On-time delivery rate
• Project quality / QA accuracy
• Client satisfaction
• Budget adherence
• Vendor turnaround time
• Number of escalations/issues resolved

Responsibilities:

• Develop and execute performance marketing strategies to drive customer acquisition and revenue growth.
• Manage digital advertising campaigns across Google Ads optimizing for ROI and KPIs.
• Conduct keyword research, audience targeting, and segmentation to enhance campaign effectiveness.
• Analyze campaign performance, generate reports, and provide insights for optimization.
• Collaborate with cross-functional teams to align marketing efforts with business objectives.
• Stay updated on industry trends and best practices to drive innovation and improvement.

Qualifications:

• Bachelor's degree in Marketing, Advertising, or a related field.
• 2- 3 years of experience in performance marketing or digital advertising for a SaaS company.
• Proficiency in digital advertising platforms and analytics tools.
• Strong analytical and communication skills.
• Certifications in relevant platforms are a plus.

• To perform requirement analysis and oversee the implementation of architectures of project scope
• To provide customized reusable solutions of project, program or operational scope
• To develop high-quality and detailed designs
• To conduct unit testing using automated unit test frameworks and identify and address possible risk by conducting mitigation action planning
• Conducting configuration of your own work or from the team and assess the technical impact of multiple technologies/strategies
• Reviewing the work of other developers with feedback for improvement (if applicable)
• Using coding standards and best practices to ensure quality deliverables
• Contribute as a team member to an operational, integration or application architecture requirements, design, implementation, or on-going operations deliverables

Key Responsibilities 

Minimum Qualification 

What you need to have:

Experience: 0 to 2 years

Annual CTC: Rupees 2,50,000 to 3,00,000

1. Should know basics like Structure, data types, unions, enum , pointers , type casting etc
2. Should know data structures mandatory like linked list (basic expectation)
3. This position is for Linux platform, so we expect people to have hands on experience on Linux (Mutex, semaphone, threading/multithreading IPC etc)
4. We expect candidate to write code given a problem statement (if not proper code at least pseudo code )

• Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
• Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
• Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
• Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
• Work alongside customers to leverage cutting-edge technology (machine learning, streaming analytics, and ‘real’ big data) to creatively solve problems and disrupt existing business models.

In this role, we are looking for:

• A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
• The unique person who can present complex mathematical solutions in a simple manner that most will understand, including customers.
• An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
• A team mentality, empowered by the ability to work with a diverse set of individuals.

• A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
• 5+ Years professional experience in a data scientist/analyst role or similar.
• Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.

• Excellent communication, organizational transformation, and leadership skills
• Demonstrated excellence in Data Science, Business Analytics and Engineering