{"id":1269923,"url":"https://alion.io/job/index-exchange-engineering-lead-manager-data-products","title":"Engineering Lead Manager, Data Products","company":{"id":94136,"name":"Index Exchange","domain":"indexexchange.com","url":"https://alion.io/company/index-exchange","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":90,"open_postings":26,"ghost_share":0.077,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":119,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Management","role_family":"Management","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":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":164000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":159},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Spark","optional":false}],"status":"closed","first_seen_at":"2026-09-25T20:06:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-29T05:09:56Z","board_verified":false,"closed_at":"2026-09-29T05:09:56Z","days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":3},"description":"At Index Exchange, we’re reinventing how digital advertising works-at scale. As a global advertising supply-side platform, we empower the world’s leading media owners and marketers to thrive in a programmatic, privacy-first ecosystem.\nWe’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.\nWe process more than 550 billion real-time auctions every day (in comparison, Google processes 8.5 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs primarily on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.\nAt the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.\nAbout the Role\nIndex Exchange is looking for an experienced Engineering Manager / Engineering Lead to lead a team building the data products that turn large-scale marketplace data into capabilities consumed by customers, internal applications, operational teams, and machine learning systems.\nOur Data Products organization sits between foundational data infrastructure and the consumers of data. We build the curated datasets, real-time data products, domain APIs, reporting experiences, integrations, and delivery mechanisms that make data usable as a product.\nThis is a highly technical leadership role. You will lead and develop a team of engineers while helping define the architecture and technical direction of systems spanning large-scale data processing, distributed systems, APIs, streaming, analytics, and product-facing serving.\nThe ideal candidate combines strong engineering leadership with deep technical experience building data-intensive products and distributed backend systems at scale.\nWhat You'll Do\nLead a High-Impact Engineering Team\nLead, mentor, and grow engineers working across backend systems, data processing, APIs, streaming, and analytical products.\nEstablish strong engineering practices around architecture, testing, reliability, observability, operational ownership, and system design.\nCreate an environment where senior engineers can independently lead complex technical initiatives.\nPartner with Product and Engineering leadership to translate business needs into a scalable technical roadmap.\nBalance near-term product delivery with investments in architecture, automation, reliability, and engineering velocity.\nBuild Data as a Product\nLead the development of reusable data products that turn large-scale marketplace data into trusted business capabilities.\nYou and your team will:\nBuild curated and aggregated datasets supporting reporting, billing, operational workflows, experimentation, and ML use cases.\nEstablish reusable aggregation frameworks and standardized patterns for creating new data products.\nOwn correctness, reconciliation, discrepancy management, freshness, and SLAs for product-facing datasets.\nDesign systems that allow new datasets, metrics, dimensions, and capabilities to be introduced quickly and safely.\nDrive self-service patterns that reduce one-off engineering work and make data capabilities reusable across the organization.\nBuild Real-Time Data Products\nHelp evolve Data Products beyond traditional batch analytics toward increasingly real-time product experiences.\nBuild streaming-derived datasets and real-time operational data products.\nDesign business-oriented transformations and aggregations over high-volume event streams.\nDefine and operate freshness and availability guarantees for near-real-time products.\nDevelop architectures that combine historical and real-time data where appropriate.\nWork with shared streaming and data platform teams while owning the business-facing products built on top of those capabilities.\nBuild APIs & Serving Experiences\nData should be accessible as a product rather than only through databases or BI tools.\nYou will help lead the development of:\nDomain-oriented data APIs.\nHigh-performance reporting and retrieval APIs.\nServing layers combining historical and real-time datasets.\nSemantic and product-oriented data access patterns.\nAPI-first interfaces that allow applications and services to consume data without understanding the underlying data infrastructure.\nYou will drive clear contracts between producers and consumers and ensure these systems remain reliable as data volumes and use cases grow.\nModernize Reporting & Analytical Experiences\nLead the evolution of customer-facing and operational analytics from tightly coupled BI architectures toward more flexible API-first and serving-first experiences.\nThis includes:\nCustomer-facing reporting products.\nEmbedded analytics.\nOperational dashboards and troubleshooting experiences.\nAnalytical interfaces used by internal and external consumers.\nArchitectures that separate data products and semantic definitions from individual visualization technologies.\nBuild Integrations & Data Distribution Capabilities\nEnable data to move reliably beyond the systems where it is generated.\nBuild standardized integration patterns using APIs, event streams, connectors, webhooks, and external delivery pipelines.\nDevelop scalable customer and partner data delivery capabilities.\nSupport patterns such as data sharing, Reverse ETL, and API-based distribution.\nEstablish consistent contracts, observability, governance, and operational guarantees across integrations.\nDrive self-service consumption patterns for downstream applications, partners, operational systems, and ML consumers.\nEnable AI & ML Data Products\nPartner with ML and product teams to make large-scale data easily consumable for intelligent systems.\nBuild datasets and derived aggregates supporting ML workflows and experimentation.\nDevelop approximate analytical products using techniques such as sketches, probabilistic aggregation, and frequency estimation.\nEnable AI-driven access to data through APIs, semantic retrieval, workflows, and emerging product experiences.\nHelp establish scalable interfaces between data products and ML/AI systems.\nOwn Production Outcomes\nYour team owns its products end-to-end.\nYou will drive:\nReliability and SLA adherence.\nObservability and operational resiliency.\nAutomated recovery and operational workflows.\nDataset and API correctness.\nReconciliation and discrepancy management.\nCapacity and performance planning.\nRelease coordination and production readiness.\nIncident response and continuous improvement.\nSuccess is measured not simply by pipelines delivered, but by the reliability, adoption, usability, and business impact of the products built on top of them.\nWhat We're Looking For\nTechnical Experience\nStrong experience building and operating large-scale distributed or data-intensive systems.\nStrong understanding of data processing, distributed systems, APIs, and production system design.\nExperience with technologies such as Kafka, Spark, Flink, Kubernetes, Airflow, or comparable systems.\nExperience building backend services and APIs using languages such as Go, Java, Python, or similar.\nExperience with both batch and streaming architectures and the trade-offs between them.\nStrong understanding of data modeling, aggregation, partitioning, schema evolution, data correctness, and distributed processing.\nExperience designing reliable systems with clear SLAs, observability, and operational ownership.\nExperience building reusable platforms, frameworks, APIs, or abstractions rather than primarily one-off pipelines.\nExperience with large-scale analytics, advertising technology, experimentation systems, ML infrastructure, customer-facing data products, or data integration platforms is a strong plus.\nLeadership Experience\nExperience leading engineers responsible for complex production systems.\nStrong technical judgment and ability to lead architecture and system-design discussions.\nAbility to mentor senior engineers and raise the technical bar across a team.\nDemonstrated ability to balance delivery, technical debt, reliability, and longer-term architectural investments.\nStrong cross-functional leadership and ability to influence teams outside your direct organization.\nAbility to translate ambiguous business problems into clear technical direction.\nStrong written and verbal communication skills.\nWhat This Team Owns\nData Products owns the layer that transforms foundational data capabilities into reusable business and customer experiences:\nCurated datasets and aggregations\nReal-time data products\nDomain and reporting APIs\nAnalytical and reporting experiences\nOperational troubleshooting products\nCustomer and partner integrations\nExternal data delivery\nBusiness-oriented transformations and semantic layers\nProduct-level correctness, reconciliation, SLAs, and adoption\nThe team partners closely with Data Platform and Exchange/Data Systems teams that provide foundational capabilities including storage, query infrastructure, catalogs, ingestion frameworks, Kafka, Flink, workflow orchestration, and shared observability. Our job is not to rebuild those platforms. Our job is to turn them into products.\nWhat Success Looks Like\nA successful leader will help evolve Data Products from delivering individual datasets and reporting capabilities into an engineering organization that provides reusable, self-service, real-time, and API-driven data products.\nYou will help us:\nDramatically reduce the time required to launch new data products.\nIncrease reuse through common frameworks and standardized patterns.\nImprove freshness, correctness, reliability, and observability.\nMake real-time and historical data accessible through consistent interfaces.\nReduce coupling between product experiences and individual storage or BI technologies.\nEnable customers, applications, operational systems, and ML workloads to consume data through well-defined products.\nCreate engineering capacity by automating repetitive workflows.\nUnlock new value from Index's data across reporting, optimization, experimentation, integrations, and AI/ML.\nWhy you’ll love working here:\nComprehensive health, dental, and vision plans for you and your dependents \nPaid time off, health days, and personal obligation days plus flexible work schedules \nCompetitive retirement matching plans \nEquity packages \nGenerous parental leave available to birthing, non-birthing, and adoptive parents \nAnnual well-being allowance plus fitness discounts and group wellness activities\nCommuter benefits and discounts, where available \nEmployee assistance program \nMental health first aid program that provides an in-the-moment point of contact and reassurance \nOne day of volunteer time off per year and a donation-matching program \nMonthly town halls and regular community-led team events \nMultiple resources and programming to support continuous learning\nA workplace that supports a diverse, equitable, and inclusive environment - learn more here\nEqual employment opportunity\nAt Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification-diversity is the human experience. For those who show grit, passion, and humility-Index will welcome you.\nAccess...","description_format":"text","description_chars":13011,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Flexible schedule","Parental leave","Retirement plans"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Media & Entertainment","Advertising"],"lifecycle":[{"event":"open","at":"2026-09-25T23:42:36Z"},{"event":"close","at":"2026-09-29T05:09:56Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"evidence":"Positions approved through LMIA in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Talent Stream","cap_exempt":false,"checked_at":"2026-10-03T21:10:52+00:00","sources":["ESDC: employers issued a positive LMIA"],"filings_for_role_12m":0}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/index-exchange-engineering-lead-manager-data-products","json_url":"https://alion.io/job/index-exchange-engineering-lead-manager-data-products.json","meta":{"generated_at":"2026-10-15T06:07:59Z","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":9157,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":94136},"rest":"https://alion.io/mcp/rest/get_company?id=94136"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Findex-exchange-engineering-lead-manager-data-products"},{"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%2Findex-exchange-engineering-lead-manager-data-products"},{"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%2Findex-exchange-engineering-lead-manager-data-products"},{"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/index-exchange-engineering-lead-manager-data-products\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Findex-exchange-engineering-lead-manager-data-products"}]}