
Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe..
Founded: 2003 (launched May 2003; company formed Dec 2002)
Headquarters: Sunnyvale, California
Members: Over 1 billion
Employee count: Approximately 26,000 (source snapshot)
Revenue streams: Talent Solutions, Marketing Solutions, Sales Solutions, Premium Subscriptions
Professional networking, recruiting, sales enablement, and professional learning.
2003
Software Development
$12.8M
Reported previously rumored $12.8M round
$53M
Investors included Sequoia, Greylock, Bessemer and Bain Capital Ventures; reported ~ $1B valuation
$22.7M
Follow-on infusion from strategic investors including SAP, Goldman Sachs, and McGraw‑Hill
“Sequoia Capital, Greylock Partners, Bessemer Venture Partners, Bain Capital Ventures and strategic investors (SAP, Goldman Sachs, McGraw‑Hill) participated in private rounds prior to IPO.”
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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.
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
People & org leadership
Key challenges your will help tackle:
Qualifications Basic Qualifications:
Preferred Qualifications:
Additional Information Suggested Skills :
India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.