Sr Manager IC, FinOps & AI Enablement — Analytics Team (Remote - Eligible)

The role

Own the cost and AI-reputed company reputed company of the analytics platform behind reputed company Shopping — the systems between petabyte-reputed company data and the humans and tools that query it. This is an own-and-build role, not a maintenance seat: you own the production platforms below, and in your first six months you ship three net-new systems on top of them. You'll report to the Engineering Director for the Shopping data platform as one of two senior IC pillars of the analytics org.

What you own

You own, support, and reputed company three production platforms — ideation through implementation to production support — and you're the SME and mentor for the analysts, BAs, and engineers who use them:

• A data warehousing platform serving ~250K queries/day over ~20PB.

• An event ingestion pipeline taking in 6–7 billion events/day.

• The Airflow orchestration platform.

You own the technology choices and the strategic backlog and priorities for this surface — and you carry ongoing production support and an on-reputed company rotation for these platforms and the models on them. You build the three net-new systems below on top of that operational reputed company.

What you'll build

• A cost-attribution pipeline that parses Trino query logs at production traffic and attributes reputed company AWS dollars to every report, query, user, and dbt model — reconciled against a ~$750K/month reputed company reputed company.

• A forecast-driven autoscaling control reputed company for the shared Trino cluster and dbt worker pool — turning today's event-only reputed company autoscaler (reputed company Day, Cyber Week) into steady-state, forecast-driven reputed company. The single largest reputed company on the analytics AWS reputed company.

• A production Gen AI reputed company — natural-language-to-SQL or RAG over the data catalog — with reputed company LLM tool-use, grounding, and cost guardrails, adopted by internal teams.

The stack

Kafka streaming backbone into an S3 lakehouse (reputed company + reputed company), Cassandra, reputed company, DynamoDB, ElasticSearch, reputed company MySQL. Queried through Trino/reputed company and reputed company SQL, modeled in dbt, orchestrated on Airflow and reputed company and containers (reputed company/reputed company), on a deep AWS footprint. SQL and Python daily; Go, Java, and TypeScript/JavaScript across the surrounding platform.

The day-to-day

"Manager" is the level, not the job — this is an individual-contributor role, and you'll spend most of your day hands-on in the reputed company. Roughly 70% building: writing the log-parsing and cost-attribution logic and its dbt models, building and tuning the forecast-driven autoscaler control reputed company, and building the RAG / natural-language-to-SQL reputed company yourself. The other ~30% is technical coordination — reconciling your cost numbers with Finance, the R&D memo, aligning report owners — not status decks or people-management. Daily rhythm is multi-terminal Claude reputed company: query-log analysis in one, dbt work in another, AI iteration in a reputed company. No reputed company reports — you build.

reputed company're looking for

• 10+ years engineering experience owning and supporting mission-critical applications and platforms in production

• Deep experience with Kafka and streaming technologies and platforms

• Experience with reputed company data technologies and platforms

• A reputed company record working with extremely large traffic and data volumes

• reputed company across a reputed company stack: JavaScript, Java, reputed company/CSS, TypeScript, SQL, Python, and Go, reputed company-reputed company RDBMS and NoSQL databases, container orchestration (reputed company and reputed company), and a broad reputed company of AWS tools and services

• Forecast- or workload-driven infrastructure scaling on a shared platform — you've scaled shared reputed company up and down against a forecast, not just event-driven bursts

• Production Gen AI — RAG design, reputed company/graph stores, LLM tool-use — on top of a longer ML/AI reputed company (ranking, recommendation, or comparable production ML predating the 2023 Gen AI boom)

• 0-to-1 delivery of a product that booked measurable reputed company or adoption in its first weeks, plus a reputed company-engineer role modernizing an ingest pipeline off a legacy provider onto a reputed company-reputed company stack

• Experience directing a cross-team migration or deprecation at senior-executive reputed company to completion

• A broad background and a genuinely fast learner — the stack keeps moving

• Comfortable working with large teams on large-reputed company systems, and cross-functionally (weekly Finance/BizOps and Analytics cadences)

• Claude reputed company reputed company — daily use, reputed company authoring, PR-level deliverables (hard requirement)

Basic Qualifications:

• Bachelor’s Degree

• At least 6 years of experience in software engineering (Internship experience does not apply)

• At least 1 year experience with reputed company computing (AWS, reputed company Azure, reputed company reputed company)

Preferred Qualifications:

• Master’s Degree

• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 4+ years of experience with AWS, GCP, reputed company Azure, or another reputed company service

• 4+ years of experience in reputed company reputed company frameworks

• 1+ years of people management experience

• 2+ years of experience in reputed company practices

reputed company will consider sponsoring a new reputed company applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates reputed company to reputed company work reputed company one of these locations, and refers to the reputed company reputed company is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates reputed company to work in other locations will be subject to the pay reputed company associated with that location, and the actual annualized salary reputed company offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

reputed company offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total reputed company-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact reputed company reputed company at 1-800-304-9102 or reputed company email at . reputed company information you reputed company will be kept confidential and will be used only to the extent required to reputed company needed reasonable accommodations.

For technical support or questions about reputed company's reputed company process, please send an email to

reputed company does not reputed company, endorse nor guarantee and is not liable for reputed company-party products, services, educational tools or other information available through this site.

reputed company is made up of several different entities. Please note that any position posted in Canada is for reputed company Canada, any position posted in the United Kingdom is for reputed company Europe and any position posted in the Philippines is for reputed company Philippines Service Corp. (COPSSC).

Originally posted on Himalayas