Sr. Manager, R&D - Ecosystem Analytics

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 , our approach to flexible work is centered on trust andoptimizedfor 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 office on select days, asdeterminedby the business needs of the team.

This role can be based in our San Francisco, CA or Mountain View, CA offices.

You are a hybrid product‑data‑AI expert who will lead a team of talented analytics engineers / builders developing best-in-class self-serve analytics products on 's internal stack that empower decision-makers across the company.You'llbe responsible fordriving our analytics platform roadmap from legacy systems to modern, AI-powered solutions.

You will manage our Ecosystem Analytics (EBIA) team. Self-serve analytics roadmap includes automation of reporting dashboards, Ecosystem Metrics platform, Ecosystem Hub of Analytics tools (eg.root-cause analyzer), and our innovative AI-powered analytics agents. In this role, you will bridge technicalexpertisewith business acumen to transform how our organizationleveragesdata for decision-making.

Responsibilities :

• Lead and develop a team of technical professionals responsible for building andmaintainingour analytics ecosystem
• Execute on our product roadmap to deliver self-service analytics tools, metric standardization, and AI-powered insights (innovative LLM-powered analytics agents that automate insight generation)
• Drive the technical implementation of our self-serve analytics roadmap, coding alongside your team when needed
• Architect and develop scalable Python-based solutions for data pipelines, metric processing, and AI integration
• Partner closely with Strategic Finance, Product, and Engineering teams to translate business requirements into technical solutions
• Drive the migration from legacy systems (Azkaban) to modern data platforms (Airflow)
• Lead the development of our metrics ecosystem, ensuring data quality, reliability, and consistency
• Oversee the implementation of AI-assisted analytics capabilities
• Build andmaintainexecutive dashboards that drive business decisions
• Drive continuous improvement in team processes and analytics deliverables

Qualifications

Basic Qualifications :

Bachelor's degree in Computer Science, Engineering, Statistics, or related field, or equivalent experience

8+ years of experience in analytics, business intelligence, or data engineering

4+ years ofSQL, data modeling, or analytics infrastructure experience

2+ years of people management experience, preferably leading technical teams

Experience with modern data pipelines and visualization tools

Preferred Qualifications :

Experience with AI / ML integration into analytics products, particularly with LLMs

Knowledge of data engineering principles, ETL pipelines, and data quality frameworks

Strong Python programming skills with experience building production-quality applications

Experience with modern BI tools such as Tableau, Power BI, or similar platforms

Familiarity with dashboard design and data visualization best practices

Proven ability to translate complex technical concepts to non-technical audiences

Experience with agile development methodologies and product management

Strong systems skills with preference toward Airflow, SQL, and modern web frameworks

MBA orMaster'sdegree in a related technical field is a plus

Suggested Skills :

SQL

LLM / Agents for Data

is committed to fair andequitablecompensation practices.

The pay range for this role is $146,000 to $237,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also includeannualperformance bonus, stock,benefitsand / or other applicable incentive compensation plans. For more information, .

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to :

Documents in alternate formats or read aloud to you

Having interviews in an accessible location

Being accompanied by a service dog

Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by , or (c) consistent with 's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, follows the Pay Transparency and non-discrimination provisions described at this link :

Global Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which handles personal data of employees and job applicants :

#J-18808-Ljbffr