Total 4 job vacancies by LinkedIn

Location: Bangalore

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

We are looking for an Account Director to join our team as a trusted adviser with a relentless focus on bringing value to our customers within Enterprise (predominantly) and Mid-Market sector. You will be responsible for helping our customers effectively engage with our solutions  (Talent & Learning). You will be dedicated to making our customers stronger and seeking out opportunities for growth. Although you possess a strategic approach to selling and strive to meet/exceed revenue goals, you will always have your clients’ best interest in mind and act as their internal advocate to ensure they are set up for success.  

Responsibilities: 

• Researches Customer’s business and prepares thoughtful questions and insights in advance of customer meetings 
• Ability to have meaningful conversations & sell to CXO level
• Asks layered, open-ended questions to understand and clarify Customer’s objectives and challenges beyond surface-level detail 
• Builds relationships with multiple stakeholders (vertically and horizontally) across the Customer’s organization 
• Shifts communication style and content to fit the needs of different stakeholders 
• Leads with Solutions, not products, when making recommendations aligned to Customer objectives 
• Sells with Integrity 
• Drives customer decision making by achieving shared vision and proactively considering the value props that tie all stakeholders together 
• Thinks commercially and applies business acumen when crafting & negotiating commercial agreements  
• Uses data and insights to support investment recommendations or overcome customer objections  
• Proactively mitigates churn risk by adopting a smart, customer-centric approach 
• Engages customers throughout to confirm and clarify value and adapts a strategy when needed to optimize ROI 
• Drives Customer growth by proactively identifying opportunities to deliver greater customer value 
• Applies business acumen in Account Planning by considering economic, industry, and company factors with a Customer-centric lens  
• Maps all key stakeholders in an account to assess the strength of the account relationship and create account outreach strategy 
• Agrees to joint accountability with colleagues and cross-functional teams for optimal customer success
• Is disciplined in Territory and Account Planning, Forecasting, and Quota Attainment.
• Follows best practices when using CRM and other Sales tools in order to manage the Sales and Buyer cycles 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

We are seeking a highly motivated Insights Manager to join our team. The ideal candidate will be responsible for leading a team of Insights Analysts to deliver actionable insights that enable customer outcomes and product adoption, and prove commercial value, for our large and strategic customers. 

As part of this role, you will also co-lead our Global Insights Center of Excellence (COE), which delivers customized reporting and repeatable, high-frequency insights at scale.  

This role blends analytical skills, people leadership, delivery excellence, and customer orientation, and works closely with Sales, Customer Success, and cross‑functional partners in the LinkedIn Talent Solutions business.  

Key Responsibilities 

• Manage, mentor, and coach a team of analysts to deliver high-quality insights and recommendations that demonstrate and enhance the value customers derive from our talent solutions products  
• Own scoping, pacing and quality of COE work, including strong QA and feedback loops  
• Drive standardization of recurring workflows to improve consistency, speed and customer impact 
• Build and maintain strong customer relationships while staying current with industry trends and best practices in talent analytics and insights  
• Strategically plan and prioritize team operations to ensure efficient and effective delivery 
• Collaborate with cross-functional teams to identify business opportunities and drive data-driven decision-making  
• Lead with adaptability and an innovative mindset, fostering overall team development and continuous improvement  

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

Productivity Engineering builds products that power LinkedIn’s core business processes, including finance, sales, and customer operations. We deliver systems that enable seamless transactions, improve operational efficiency, and support business growth.

We are looking for a Techno-Functional QA Engineer to join our Finance Engineering team. In this role, you will ensure the quality, reliability, and integrity of financial systems and their integrations. You will partner closely with engineering, product, and finance teams to validate complex business workflows and deliver high-quality, reliable releases.

Responsibilities

• Own the end-to-end testing strategy and quality validation for Oracle EBS QTC systems and integrations.

• Validate Quote-to-Cash workflows, including:

  • Quote creation, pricing, and approvals

  • Order management and fulfillment lifecycle

  • Billing and invoice generation

  • Cash application and collections

  • Revenue recognition and reporting

• Ensure data accuracy, reconciliation, and consistency across systems, including validation between Order Management, Accounts Receivable, and General Ledger.

• Validate pricing, discounting, tax calculations, and billing logic across complex transactional scenarios.

• Test and validate integrations with external systems, including:

  • Order capture and CRM platforms

  • Checkout and payment processors

  • Billing and revenue systems

• Perform API testing, SQL-based backend validation, and data reconciliation across upstream and downstream systems.

• Develop and maintain test automation frameworks (UI, API, and data layers) integrated with CI/CD pipelines.

• Validate high-volume transactional systems impacting revenue, ensuring performance, reliability, and correctness.

• Follow established change, release, and deployment governance, ensuring appropriate test coverage and quality gates.

• Conduct test reviews, defect triaging, and root cause analysis to maintain high-quality standards.

• Collaborate with cross-functional teams (Engineering, Product, Finance, Operations) to ensure end-to-end validation of financial workflows.

• Support production validation, monitoring, and post-deployment verification to ensure ongoing system reliability.

• Drive continuous improvement through test optimization, automation, monitoring, and reduction of manual validation efforts.

• Ensure compliance with financial reporting requirements by validating audit trails, reconciliation processes, and revenue accuracy. 

We are looking for a Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS AI team. This role goes beyond building models- you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

• Lead the design, development, and deployment of state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.
• Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS, ensuring scalability, reliability, and innovation.
• Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.
• Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
• Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
• Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
• Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.