{"id":3826810,"url":"https://alion.io/job/linkedin-sr-ai-engineering-manager-ads-ai","title":"Sr. AI Engineering Manager, Ads AI","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":198000,"max":326000,"currency":"USD","period":"year","gross":null,"usd_annual":326000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-05T17:49:08Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-09T08:16:23Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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.\nJoin us to transform the way the world works.\n This role will be based in Mountain View.\nAt 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.\nWe’re hiring a Senior Engineering Manager to lead LinkedIn’s Ads Attribution & Companies team. You’ll own end-to-end measurement and modeling for advertiser outcomes - privacy-safe signal integration, multi-touch attribution, conversion modeling, and experimentation - while scaling the Companies data platform that powers insights across LinkedIn. You’ll set vision and roadmap, partner closely with Product, Data Science, Sales, and Legal, and deliver reliable, high-impact systems and APIs. You’ll grow and mentor an inclusive, high-performing engineering team and build a culture of clarity, ownership, and excellence.\nWhat you’ll bring: deep experience in ads measurement/attribution, production ML (causal inference, propensity, experimentation), and large-scale distributed data systems; a track record of shipping high-quality, resilient services; and strong cross-functional leadership. Bonus: B2B data, identity graphs, offline conversions, and MMM.\nIf you’re excited to build the measurement backbone for LinkedIn Ads and make our companies ecosystem smarter for millions of members and customers, we’d love to talk.\nResponsibilities:\nDevelop a strategy for a new technical foundation based on using AI/LLMs to innovate in ad recommendation platforms.\n\nDesign a technical solution with actionable recommendations across Marketing and Sales ecosystems, creating a unified data flywheel that compounds value by learning from advertiser outcomes and CRM closed-won signals.\n\nEvangelize the use of LLMs and AI in software development in the broader organization with robust experimentation and measurement frameworks that tie model performance directly to business outcomes, not just offline or proxy metrics.\n\nTechnical vision, execution standards, and mentorship that raise the bar for applied ML rigor, system reliability, and real-world impact across the team.\n\nPartner with infra and platform teams to optimize retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient fine-tuning.\n\nAttract world class talent and provide technical guidance, career development, and mentoring to team members.\n\nCreate an environment that values curiosity, diverse perspectives, and open dialogue. Encourage the team to challenge assumptions, experiment responsibly, and continuously raise the technical bar.\n\n Basic Qualifications:\nBachelor's in Computer Science or related technical field or equivalent technical experience\n\n7+ years of industry experience\n\n3+ years people management experience\n\nPreferred Qualifications:\n10+ years of relevant work experience including 4+ years of leadership experience\n\nPhD in Computer Science, Machine Learning, Statistics or related fields\n\nExperience with retrieval and context-heavy reasoning (RAG), fine-tuning small language models (SLMs), and customizing deep learning models for Ads ranking, retrieval, budget forecasting and control, and low latency tasks\n\nSuggested Skills:\nAI Modeling - LLMs\n\nPeople Leadership\n\nChange Management\n\nYou will Benefit from our Culture:\nWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.\nCompensation:\nLinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 - $326,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.\n Equal Opportunity Statement\nWe seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn 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.\nLinkedIn 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.\nIf you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.\nFill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36\nReasonable 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:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\nA 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.\nLinkedIn 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 LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice and Compliance Posters for Job Candidates\nPlease use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.","description_format":"text","description_chars":7964,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-learning","Job Boards & Aggregators","Professional Networks"],"lifecycle":[{"event":"open","at":"2026-11-05T18:42:17Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1,195 · green card filings: 234","filings_12m":1195,"filings_prev_12m":1015,"green_card_filings_12m":234,"median_offered_wage_usd":174225,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":56}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":21,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":326000,"is_top_pay":true},"html_url":"https://alion.io/job/linkedin-sr-ai-engineering-manager-ads-ai","json_url":"https://alion.io/job/linkedin-sr-ai-engineering-manager-ads-ai.json","meta":{"generated_at":"2026-11-09T12:27:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15535,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13163},"rest":"https://alion.io/mcp/rest/get_company?id=13163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flinkedin-sr-ai-engineering-manager-ads-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flinkedin-sr-ai-engineering-manager-ads-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flinkedin-sr-ai-engineering-manager-ads-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/linkedin-sr-ai-engineering-manager-ads-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-sr-ai-engineering-manager-ads-ai"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3826810}},{"tool":"search_jobs","arguments":{"company":"linkedin.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3826810},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}