Total 65 job vacancies by LinkedIn

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 a passionate, entrepreneurial engineering leader to join the Bangalore engineering team. In this role, you will be part of LinkedIn's India initiatives team responsible for leading a team of engineers to develop new products and services and scale existing LinkedIn's products for the fast-growing Indian market. You will also partner with other teams across the company to ensure a consistently awesome experience across platforms and products.

Responsibilities

• Manage the performance and career development of a team of engineers, and own significant parts of LinkedIn products that require design, architecture, and coding.
• Participate with senior management in developing a long-term technology roadmap.
• Be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Work with peers across teams to support and leverage a shared technical stack.
• Manage teams to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, review code, and deliver with speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• Produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

Productivity Engineering organization helps empower global employees, and customers to be productive with world class products and services by building solutions that power LinkedIn’s business, connect employees by providing an application. We drive technology vision, architecture, and design for systems that help the company deliver on major business processes. We deliver applications and products that enhance employees’ productivity in a seamless way, help grow our top line, and increase our efficiency.

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.

As a Staff Software Engineer, you will be a key technical leader and role model within the team. We are looking for someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes smart trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. This leader will foster LinkedIn's culture and values around transformation, collaboration and results.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
• Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Identify, leverage, and successfully evangelize opportunities and collaborate with cross functional teams to design and build scalable platforms/products/services/tools and to improve engineering productivity in the organisation.
• Work with peers across teams to support and leverage a shared technical stack

Hiring Team Description: Our team builds and maintains the core products that power Global Sales Compensation, ensuring accurate, scalable, and compliant compensation processing. We also own and operate all Finance integrations, delivering reliable, real-time data flows across 50+ systems. In parallel, we are developing an AI platform to rapidly onboard Finance AI use cases and enable intelligent agents that improve automation, decision-making, and operational efficiency.

This role will be based in Bangalore, India.

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 design and development of new features in GSC systems
• Work across the full stack — backend, frontend, APIs, data flows
• Architect and build AI agents for Finance use cases
• Improve system reliability, performance, and scalability
• Guide junior engineers and provide technical leadership
• Work closely with PMs, Finance partners, and cross-functional teams
• Ensure data accuracy and support critical compensation cycles
• Drive best practices in code quality, testing, and documentation

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

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. 

LinkedIn is searching for a talented and passionate leader to lead our APAC-based LSS Support team, focused on helping our strategic customers realize value from LinkedIn Sales Solutions products and resolving their most complex support needs. The successful candidate will have refined leadership and people‑management skills, strong operational focus, and the ability to create and drive a long‑term vision for enterprise customer support.

As a Senior Manager of LSS Support, you implement strategy by maximizing available resources, aligning your organization’s plans and priorities to LinkedIn’s long‑term strategic objectives, and prioritizing cross‑team opportunities that support quarterly and yearly goals. You will provide leadership and direction to a team of LSS Support Managers, Leads, and Consultants, own performance against KPIs, and partner closely with cross‑functional teams (Support, Sales, Product, Engineering, GTM Ops) to deliver a best‑in‑class experience for LSS customers. You will be accountable for transforming the performance, engagement, and wellness of your organization, ensuring that team members understand how their work contributes to LinkedIn’s strategy and vision.

Responsibilities

• Build, develop and lead a team of LSS Support Managers, Leads, and Consultants, providing coaching and feedback to drive growth, productivity, and quality.
• Set and communicate the long‑term vision, strategy, and operating model for LSS Support in APAC and contribute to the global LSS Support strategy.
• Oversee execution and coordination of teams’ quarterly plans, aligning plans and priorities across related teams for enhanced collaboration and operational efficiency.
• Proactively identify gaps, opportunities, and wins through observation, coaching, and data; develop scalable programs and processes to address them.
• Own operational and customer outcomes by monitoring and improving performance against KPIs (quality, SLAs, CSAT, efficiency, adoption, and retention).
• Oversee capacity planning, hiring, and workforce management to ensure coverage and capabilities that meet evolving business and customer needs.​
• Hold yourself and your direct reports accountable for achieving results by setting clear expectations, assigning ownership, and taking responsibility for performance outcomes.
• Role‑model mastery of core support, operational, and LSS capabilities (e.g., KPI management, escalation handling, process improvement, and executive‑level communication) and coach others to build these skills.
• Apply your expertise in complex and ambiguous situations, demonstrating sound judgment and the ability to weigh options and reach optimal solutions for customers and the business.
• ​Manage internal and external escalations from customers, business partners, and within the team, ensuring timely, high‑quality resolution and clear communication.
• ​Communicate clearly and concisely with employees and internal partners, tailoring communication to diverse audiences and ensuring alignment on priorities and changes.
• Create energy and engagement by facilitating a culture of innovation, continuous improvement, and inclusion within LSS Support. 
• Develop, nurture, and sustain strong internal and customer relationships through trust, authenticity, and shared accountability, and champion adherence to LinkedIn policies, procedures, and quality standards.
• Ensure team members and leaders have the information, tools, and enablement they need to perform their roles effectively.
• Ensure tight coordination with global peers, Sales, Customer Success, Product, and other Support teams to drive best practices and provide a seamless experience for our largest and most strategic customers.​
• Complete quarterly and annual reviews for all direct reports and provide feedback to other teammates as needed.
• Complete other projects and tasks as assigned.

Qualifications

Basic Qualifications

• 8+ years of experience in customer support, customer operations, customer success, sales ops, or technical operations
• 3+ years of people‑management experience leading teams, including leaders and/or senior individual contributors, OR 12+ months of internal LinkedIn supervisory experience.
• Bachelor’s degree in either business, economics, finance, communications, or similar field, OR related practical experience

Preferred Qualifications

• Experience leading enterprise or B2B customer support teams, preferably in SaaS or technology.
• Experience with customer communication channels (email, inbound/outbound phone, chat, and/or in‑product support).
• Experience monitoring, driving, and coaching to KPIs in a queue‑based environment, consistently delivering to workforce management needs.
• Demonstrated experience using data and operational metrics to drive decisions, improve processes, and manage performance.
• Strong collaboration experience with Sales, Customer Success, Product, and Engineering teams to improve customer experience and drive product adoption and retention.
• Expert knowledge of MS Office (Outlook, Word, PowerPoint, and Excel); familiarity with CRM, ticketing, and reporting tools.
• Excellent communication, follow‑up, interpersonal, and customer‑service skills, including experience communicating with senior stakeholders.
• Ability to use creative solutions to drive initiatives across a global, matrixed team.
• Ability to make discretionary decisions based on appropriate research and input from key stakeholders.
• Ability to effectively manage time, prioritize tasks, and work within deadlines with limited supervision.
• Ability to work in a fast‑paced environment and lead teams through change.

Suggested Skills

• Operating Model Design
• Change Management Leadership
• Cross‑Functional Influence
• People Leadership
• Analytical and Data-driven Mindset

At LinkedIn, our approach to flexible work is centred on trust and optimised 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 a Senior Account Executive to join our team as a trusted adviser with a relentless focus on bringing value to our customers. You will be responsible for helping our customers within our Corporate division, effectively engage with our Talent and Learning solutions. 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 client’s best interest in mind and act as their internal advocate to ensure they are set up for success.

Responsibilities

• Research Customer’s business and prepare thoughtful questions and insights in advance of meetings
• 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 organisation
• Shifts communication style and content to fit the needs of different stakeholders
• Leads with Solutions, not products, when making recommendations aligned with Customer objectives
• Sells with Integrity
• Drives customer decision-making by achieving a 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 adapt 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 the economy, 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
• Practices humility and asks for help from colleagues when faced with a challenge or unknown
• Is disciplined in Territory and Account Planning, Forecasting, and Quota Attainment
• Follows best practices when using CRM and other Sales tools 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 looking for a Talent Account Executive to join our team to tap into potential client opportunities and generating new business. You will be responsible for responding to inbound inquiries as well as blanketing your region with outbound activity. You will strategically approach target companies and teams, identify the best technology options and sell corporate solutions for recruitment. Although you strive to meet and exceed quota, you will always act in the best interest of the client.

Responsibilities: 

• Prospect relentlessly to build pipeline and build strong personal relationships with prospects 
• Create reliable forecasts and be completely transparent with management on the pipeline status 
• Close new business consistently at or above quota level 
• Develop and execute on a strategic plan for the territory and document and distribute competitive information 
• Invest in colleagues and give coaching and advice when you see an opportunity for improvement 
• Work to develop and circulate the set of best practices that will be the foundation of this team 
• Listen to the needs of the market and share insights with product and marketing team 
• Be proactive about solving problems even if it’s outside of your area and be ready to take on additional initiatives and responsibilities as they emerge 
• Seek out opportunities to be a leader and do everything you can to help the company achieve its larger objectives 
• Travel required (approximately 40% of the time) 

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.

Team blurb:

The GTM Data Science team operationalizes data and insights for LinkedIn’s go‑to‑market impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.

Responsibilities:

• Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
• Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
• Perform all necessary data transformations to serve products that empower data-driven decision making.
• Build and manage data pipelines, design and architect databases.
• Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Be a self-starter; initiate and drive projects to completion with minimal guidance.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

About Trust Data Science at LinkedIn
The Trust Data Science team powers the mission of creating safe, trusted, and professional experiences on LinkedIn through rigorous metrics, experimentation, and advanced data solutions. Measuring trust is inherently challenging as abuse is adversarial, ground truth is noisy, and outcomes are often long-tailed. We tackle these challenges using advanced statistical techniques to design and build robust, actionable metrics, make them experimentable, while building highly reliable, semantically rich data pipelines enabling data-driven decision making across the Trust organization. 

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.

About the role
We are hiring a senior engineering and data leader to lead our Trust Data Engineering Solutions team, a critical and strategic pillar of Trust Data Science at LinkedIn. This team owns the data foundations, platforms, and user facing tools that power Trust measurement, decision‑making, and AI‑driven workflows for the Trust R&D organization. 

This role sits at the intersection of data engineering, full‑stack development, and AI‑enabled analytics. It directly enables both human decision‑makers (data scientists, analysts, PMs, engineers and ops) and machine consumers (analytics agents, experimentation systems, ML and agentic platforms) to safely, reliably, and accurately drive data driven decisions. 

This is a high‑judgment leadership role: you will define how Trust data is produced, standardized, governed, discovered, and consumed - at scale and under real‑world constraints.

Responsibilities: What you and your team will own:

Trust data foundations

• Own the end‑to‑end strategy and evolution of Trust data foundations, including:

  • Canonical Trust metrics

  • Authoritative datasets (metrics, system data, telemetry)

  • Measurement‑critical pipelines used by Trust R&D org and external compliance reporting

• Architect and operate complex, multi‑system data pipelines spanning telemetry ingestion, transformation, ML based measurement, and serving

• Set and uphold explicit SLAs across latency, freshness, correctness, and availability, balancing speed with Trust‑grade reliability

Platform integration & ecosystem leadership

• Platformize Trust data by deeply integrating with:

  • Unified metrics and dimensional foundations

  • Experimentation and evaluation platforms

  • Analytics agents and GenAI‑enabled tooling

• Act as a technical partner and peer to trust foundations, data infra, ML infra and experimentation teams

Trust‑native tools & data democratization

• Lead the development of Trust‑native data products, including:

  • Dashboards and reporting surfaces

  • Data access APIs and services to LinkedIn wide data and agentic platforms

  • Internal data tools that lower the barrier to safe, correct data usage

• Democratize access to Trust data for analysts, data scientists, PMs, Engineers and Trust Ops, while maintaining appropriate guardrails.

• Enable agent‑based consumption of Trust data by making datasets and metrics discoverable, well‑annotated, and machine‑interpretable

Standards, governance, and context

• Establish and drive adoption of standards for telemetry, schema, metadata, and annotation across fragmented upstream systems

• Ensure Trust data carries the right context, definitions, assumptions, limitations, and lineage to support accurate retrieval and high‑stakes decisions.

People & org leadership

• Build, lead, and develop a high‑impact team of data and platform engineers

• Set a strong technical and cultural bar through architecture reviews, design rigor, and mentorship.

• Help grow senior ICs and future leaders within the Trust Data Engineering Solutions org

Key challenges your will help tackle:

• Fragmented and inconsistent Trust telemetry across multiple upstream systems

• Complex DAG orchestration with heterogeneous SLAs and dependencies

• Measurement pipelines that combine data engineering with ML models

• Making Trust data discoverable, explainable, and safe for both humans and AI agents

• Scaling platforms without sacrificing metric integrity

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.

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.

About the team:
LinkedIn’s Trust \ team's goal is to leverage big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to create a Trusted and Safe Platform, drive member engagement, business growth and monetization . With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.

The Trust Data Science team delivers data & metrics insights, develops data platforms / tools and enables decisions at scale through inference and algorithm as part of the cross-functional Trust team to realize its mission to create safe, trusted, professional experiences where individuals and organizations can be productive and successful. In this role we are looking for a technical leader in the Trust Data Engineering and Platform team. This person will work closely with various cross-functional teams such as product, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.

Responsibilities

• Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions.
• Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products.
• Perform all of the necessary data transformations to serve products that empower data-driven decision making.
• Establish efficient design and programming patterns for engineers as well as for non-technical partners.
• Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in our data ecosystem are shared across teams.
• Understand the analytical objectives to make logical recommendations and drive informed actions.
• Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.
• Be a thought leader and modernize the data stack used by the team.

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. 

LinkedIn Marketing Solutions is searching for a stellar Client Solutions Manager(CSM) who will be responsible to consult and help grow some of our most strategic & high potential clients. Client Solutions Managers are focused on helping our clients achieve their marketing objectives on the platform. They provide campaign intelligence and ongoing campaign strategy consultation. CSMs are responsible to leverage data and analytics to find opportunities for upsell/cross-sell. CSMs bring a deep understanding of the industry, competitor landscape, and overall digital marketing ecosystem. Client Solutions Managers are nimble, team players, comfortable managing multiple clients, campaigns, and projects concurrently. This is a sales quota-carrying role.

Responsibilities: 

Grow the portfolio

• Partner with the Account Director to create a seamless post-sale client experience & help deliver on expected ROI
• Develop and cultivate deep relationships with senior executive clients at SVP, VP and CMO levels and leverage to build expertise on client’s business or industry specifics, competitive landscape and product differentiators
• Identify and implement intelligent client research, ROI reporting and industry-specific information by leveraging internal tools and resources for teams’ benefit 
• Consistent achievement of business-level revenue and consumption targets through disciplined pipeline, forecast and risk management on a monthly/quarterly basis 
• Manage all end-to-end aspects of the customers’ media campaigns including targeting, implementation, optimization, and reporting.
• Proactively communicate customer issues to LinkedIn sales support teams across Ad Operations, Insights, and Creative, etc., and provide ongoing follow-up and customer communications to troubleshoot campaigns and ensure error free execution.
• Manage all aspects of each LinkedIn customers marketing campaign to ensure customers’ objectives are met, from making recommendations on target audiences to proving ROI through campaign insights.
• Ability to build deep relationships with C-suite audience/key business decision-makers from the Marketing, PR/Comms, Talent Acquisition worlds
• Drive portfolio level revenue growth and exceed revenue targets consistently

Provide consultative servicing 

• Consult and own all aspects of the client’s media campaigns including targeting, content, user journey, implementation, optimization, and reporting 
• Proactively analyze and optimize customers’ advertising campaigns and marketing programs to make strategic recommendations to customers and ensure client objectives are met 
• Manage relationships with multiple stakeholders, both internally and externally 
• Provide qualitative assessment on creative copy and help drive platform-specific content strategy

Job Description 

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. 

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.  

In this position, you will serve as a compensation subject matter expert from the region supporting the global compensation programs, processes, polices and enablement.  

 
Responsibilities: 

• Problem Solving through Analytics: Leverage your technical skills to design and build compensation metrics, reports, and tools to inform compensation program decisions as well as forecast, report, and/or analyze compensation business outcomes.  Produce ad hoc analyses with quick turnaround.  
• Regional Support to Rhythm of Business: Participate in the development of and own region support for compensation processes such as the annual review, job architecture, and other global initiatives.  
• Compensation Education & Enablement: Develop and deliver educational resources, toolkits, and training for HRBPs and people managers to ensure understanding of compensation programs and processes. Drive enablement strategies that simplify complex concepts and empower informed decision-making. 
• Data Audit & Integrity: Ensure accuracy and consistency of compensation and equity data across systems. Conduct regular audits, identify discrepancies, and implement controls to maintain data integrity and compliance. 
• Additional Projects: we’re continuously working to evolve our pay practices to ensure that we are market competitive and developing innovative solutions. This role will provide you with the ability to provide input, own and participate in projects and initiatives across all functions and locations.  
• Demonstrates a growth mindset and champions cross-functional collaboration, aligning with LinkedIn’s values of transformation, integrity, and putting members first. 

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.

The GTM Vendor Solutions team is searching for a Program Manager to lead sales vendor programs at scale. They will partner closely with global cross-functional leaders across LinkedIn’s organization to help solve problems and establish scalable vendor programs. They will build connective tissue across leaders, teams, and programs to create leverage, optimize growth, and scale the business within a vendor portfolio. 

The Program Manager will leverage their deep sales experience, program management strengths, effective communication, relationship building skills, and analytical abilities to build best-in-class vendor sales operations. They will help ensure any issues escalated by our clients or internal partners are dealt with in a swift manner and will maintain continued communication at the different stages of resolution. 

 Responsibilities: 

• Act as lead to ensure our vendor programs are set up properly, the teams are adequately trained, and program success is measured consistently 
• Serve as a sales SME for the vendor teams to ensure they know the value of our products, how best to engage with our customers to maximize value creation, and the behaviors that high-functioning sales reps need to focus on 
• Provide program stakeholders with regular updates on performance, and collect feedback to discuss with our vendor partners directly 
• Serve as a consultant to our various stakeholders to identify opportunities where we can help their teams to focus and scale by leveraging our vendor network 
• Manage the Vendor Solutions operating model through forecasting, planning, deploying, and training teams 
• Lead cross-functional development of new contracts and updates to existing contracts 
• Manage knowledge transfers & process optimization with our vendor partners 
• Effectively manage the day-to-day operations in collaboration with our vendor partners 
• Design reporting standards for operational metrics, service level requirements, and process KPIs, and own running metric reviews w/ different audiences 
• Provide quality checks – monitoring performance against service level agreements and addressing any issues through corrective action plans around KPIs 
• Think like an owner and have an impact outside of your core functions by demonstrating leadership, providing leverage, and producing results that will help our team effectively scale 
• Travel both domestically and internationally  

As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.

Responsibilities:

• As a Manager, you will participate in key technical and design discussions with technical leads in the team.
• You will lead the AI strategy for an area and work with the engineering and product leads to align it with the larger vision for the Trust organization
• You will collaborate with trust-focused teams such as the Policy team, legal team, ML infrastructure team, and AI foundation team.
• You will attract world class talent and provide technical guidance, career development, and mentoring to team members.
• You will hold the team to a high quality bar for machine learning tech and actively reduce tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
• You will partner with data science & analytics teams, product & infrastructure teams to build and onboard new modeling use cases online.
   

As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the team. We are looking for someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes smart tradeoffs to help achieve the goals of individual teams as well as LinkedIn's broader goals. This leader will foster LinkedIn's culture and values around transformation, collaboration, and results.

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:

• Provide architectural guidance and mentorship to up-level the engineering organization.
• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
• Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship.
• Identify, leverage, and successfully evangelize opportunities and collaborate with cross functional teams to design and build scalable platforms/products/services/tools and to improve engineering - productivity in the organization.
• Work with peers across teams to support and leverage a shared technical stack.
• Resolve conflicts between teams within the organization to get alignment and build team culture.
• Review others' work and share knowledge.

LinkedIn Business Platform is a central platform that enables monetization on LinkedIn globally. LinkedIn Business Platform, LBP for short, powers all of the LinkedIn businesses - with an uber goal to create a channel-neutral GTM strategy. LBP is a set of products and platforms that help each business create new products, sell them effectively and enable aspects of product administration. This platform fuels and enables end-to-end experience for our customers, including checkout, billing, provisioning, administration & license management.

This role is based in 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.

As Product Manager for Foundation-GTM Speed, you will lead the strategy, planning, and execution of initiatives that enable LinkedIn to introduce new products and pricing configurations faster and more efficiently. You will work closely with engineering, design, pricing strategy, and business operations to deliver scalable solutions that support rapid product launches and ongoing optimization of the product catalog.

You will have a strong focus on evolving the domain. You will work to gather business requirements and build out a solution that is architected in a platform-first way that not only enables near-term business needs, but also creates leverage to support growth long term. 

Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

Responsibilities:

• Lead GTM Speed Strategy: Define and execute the roadmap for GTM Speed, focusing on accelerating new product introductions (NPIs), pricing, and offer configurations through the Product Configuration Center (PCC).

• Product Catalog & SKU Management: Drive efforts to differentiate and manage products and SKUs, enabling flexible bundling, pricing, and reporting in alignment with international standards (e.g., GTIN). Support the evolution of LinkedIn’s product data model and catalog APIs.

• Cross-Functional Collaboration: Partner with engineering, design, sales, marketing, and business stakeholders to deliver platform enhancements and ensure seamless execution of GTM initiatives. 

• Platform Enablement: Champion self-serve capabilities for business decision makers, including tools for price management, export, and analytics within PCC.

• Customer & Market Insights: Gather and analyze feedback from internal and external users to inform product strategy and improve time-to-market for new offerings. 

• Project Planning & Execution: Own project documentation, planning, and estimation for GTM Speed initiatives, including sizing, resource allocation, and execution models. 

• Continuous Improvement: Monitor industry trends, regulatory changes, and competitive landscape to ensure LinkedIn’s GTM capabilities remain best-in-class.