{"id":2439025,"url":"https://alion.io/job/pubmatic-engineering-manager-data-analytics","title":"Engineering Manager, Data & Analytics","company":{"id":5112,"name":"PubMatic","domain":"pubmatic.com","url":"https://alion.io/company/pubmatic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":27,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":73000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Machine Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"ChatGPT","optional":true},{"name":"Claude","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Windsurf","optional":true}],"status":"live","first_seen_at":"2026-09-11T07:17:18Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-14T08:39:56Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"About the Role\nWe are looking for an experienced Engineering Manager, Data & Analytics to lead a team responsible for operating, scaling, and evolving our large-scale advertising data and analytics ecosystem. \nThe team owns business-critical real-time and batch data systems supporting real-time reporting, scheduled reporting, ad-hoc analytics, log-level data, audiences, ad-serving use cases, observability, and machine-learning feedback loops.\nThis role requires a strong combination of technical leadership, people management, execution, and stakeholder management. The Engineering Manager will work closely with Engineering, Product, Business, Analytics, and ML teams to evolve the existing ecosystem while maintaining reliability, scalability, performance, and cost efficiency.\nWhat You'll Do\nEngineering & Technical Leadership\nOwn the technical direction and evolution of large-scale real-time and batch analytics systems.\nScale streaming workloads built on technologies such as Kafka and Spark Streaming.\nEvolve analytical and data-processing workloads across Snowflake, HDFS, and object storage.\nSupport real-time, scheduled, ad-hoc, and log-level reporting at advertising scale.\nDrive improvements in scalability, reliability, performance, data quality, and infrastructure efficiency.\nModernize components of the existing ecosystem while protecting business-critical workloads.\nStrengthen observability, monitoring, data lineage, SLAs/SLOs, and operational excellence.\nEnable data capabilities supporting audiences, ad serving, experimentation, ML training and feedback loops, and AI-driven use cases.\nEvaluate appropriate adoption of CPU/GPU accelerated computing and emerging data and AI technologies.Drive architecture reviews and establish strong engineering standards across the team.\nPeople & Execution Leadership\nLead, mentor, and grow a high-performing engineering team.\nHire and develop engineers and create strong technical leaders within the organization.\nEstablish clear ownership and accountability across critical systems.\nOwn roadmap planning, prioritization, execution, and delivery.\nBalance new capabilities with technical debt, platform modernization, reliability, and operational commitments.\nLead incident reviews and drive systemic fixes to prevent recurring production problems.\nFoster an engineering culture focused on ownership, technical excellence, simplicity, and measurable outcomes.\nStakeholder Leadership\nPartner closely with senior stakeholders across Engineering, Product, Business, Analytics, Trading, and Machine Learning.\nTranslate complex business requirements into scalable technical strategies.\nLead challenging discussions involving priorities, timelines, technical limitations, architecture, cost, and competing business requirements.\nChallenge assumptions and requirements when necessary and provide data-driven alternatives.\nClearly communicate technical trade-offs, risks, and investment requirements to technical and non-technical leadership.\nBuild alignment across teams where ownership and priorities may not naturally align.\nWe'd Love for You to Have\n10+ years of engineering experience, with significant experience leading and managing engineering teams.\nProven experience hiring, mentoring, developing, and growing engineers and technical leaders.\nStrong technical background in large-scale distributed data and analytics systems.\nHands-on architectural understanding of technologies such as Kafka, Spark/Spark Streaming, Snowflake, HDFS, and object storage.\nDeep understanding of streaming, batch processing, distributed computing, data modeling, and analytical architectures.Experience operating and evolving high-throughput, business-critical production systems.\n\nStrong understanding of system scalability, reliability, observability, performance, and infrastructure cost optimization.\nStrong stakeholder management and influencing skills, including experience working with senior technical and business leaders.\nDemonstrated ability to navigate difficult conversations, resolve conflicting priorities, make trade-offs, and drive decisions.\nAbility to connect business outcomes with technical strategy and engineering execution.\nExperience with AdTech, high-scale real-time systems, audience platforms, ML/data infrastructure, or accelerated computing is a strong plus.\nQualifications: \nBachelor's degree in Engineering (CS/IT) or an equivalent degree from a well-known institute or university; advanced degree is a plus but not required given depth of experience.\nWhat Success Looks Like\nSuccess means scaling and evolving an established, business-critical data ecosystem while building a strong engineering organization around it.\nThe platform should become more reliable, scalable, observable, cost-efficient, and easier to operate, while continuing to support growing reporting, analytics, audience, ML, and AI use cases. \nAt the same time, the Engineering Manager should develop a team with strong technical ownership, consistently deliver against business priorities, and effectively navigate complex stakeholder discussions and competing priorities.\nAI-Enabled Engineering Mindset:\nWe value engineers who actively leverage Generative AI tools and IDEs (e.g. GitHub Copilot, ChatGPT, Claude, Cursor, Windsurf etc.) to accelerate development, improve code quality, automate repetitive tasks, and enhance documentation and debugging workflows. Engineers who demonstrate AI-first thinking using these tools to drive faster experimentation, ideation, and technical execution will thrive in our high-scale, performance-critical environment.\nAdditional Information:\nReturn to Office: PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions.\nBenefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!\nDiversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nAbout PubMatic\nPubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes.\nFounded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.","description_format":"text","description_chars":7120,"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":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising"],"lifecycle":[{"event":"open","at":"2026-10-13T11:34:44Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.455,"p_room":0.55,"age_days":32,"expected_fill_days":29,"reasons":["conf:3","stale_co","win:tail"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/pubmatic-engineering-manager-data-analytics","json_url":"https://alion.io/job/pubmatic-engineering-manager-data-analytics.json","meta":{"generated_at":"2026-10-14T09:27:23Z","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":"assistant_verified","counted_by":"address","units_charged":1,"used_today":1681,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":5112},"rest":"https://alion.io/mcp/rest/get_company?id=5112"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpubmatic-engineering-manager-data-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fpubmatic-engineering-manager-data-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fpubmatic-engineering-manager-data-analytics"},{"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/pubmatic-engineering-manager-data-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpubmatic-engineering-manager-data-analytics"}]}