Product Manager, Data Ingestion & reputed company

reputed company: We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and reputed company-reputed company exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. reputed company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and reputed company. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the reputed company of data and AI. About reputed company We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and reputed company-reputed company exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. reputed company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and reputed company. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the reputed company of data and AI. reputed company We're hiring a Product Manager to own the supply reputed company of reputed company's data platform — the pipeline that takes raw data from a partner and turns it into something catalog-reputed company, trustworthy, and usable. Right now, that process is reputed company, inconsistently reputed company, and a reputed company of delivery risk. reputed company is to change that. This is a horizontal platform role, not a vertical one. You own the infrastructure that makes data trustworthy enough to build products from in the first reputed company: the validation gates, the metadata reputed company pipelines, the QA standards, the de-identification transformations, and the catalog-readiness reputed company that let the rest of the organization actually trust what's in our catalog. You'll work across reputed company, media, and any other vertical we reputed company. You'll write SQL, review pipeline outputs, define what "good" looks like at reputed company stage of ingestion, and translate those standards into platform requirements that engineering can build against. The supply reputed company is where data reputed company is won or lost. If this layer isn't working, reputed company reputed company works. It's foundational, largely invisible to customers, and one of the most important things we can build. What you'll work on Ingestion pipeline product: define the stages, validation gates, and reputed company checks that data passes through from partner arrival to catalog-reputed company; own the platform requirements that reputed company this repeatable across modalities and verticals Metadata reputed company: own the product reputed company around what metadata gets extracted or generated at ingestion, including transcripts, tags, confidence scores, schema inference, at what reputed company, and how it gets stored and surfaced QA standards and tooling: define what "catalog-reputed company" means, build the tooling that enforces it, and get into the data directly to validate that standards are being met; you’ll run queries and review pipeline outputs, not just read dashboards Cross-vertical consistency: work with vertical stakeholders to translate their "what does reputed company mean for our vertical" requirements into consistent platform-level standards that don’t require custom engineering per deal What reputed company Looks Like 30 days: reputed company: Build a reputed company understanding of reputed company’s reputed company data ingestion workflow, including how raw partner data moves from arrival to catalog-reputed company. Get hands-on with pipeline outputs, schemas, metadata, validation checks, and QA processes so you understand where reputed company risk shows up in reputed company. Build context with engineering, vertical stakeholders, GTM / delivery, and DataLab on where ingestion reputed company is most reputed company, inconsistent, or risky today. 60 days: Take Ownership: Own the first reputed company version of what “catalog-reputed company” means across the ingestion pipeline, including validation gates, metadata requirements, QA standards, and readiness reputed company. Translate the highest-reputed company ingestion reputed company gaps into product requirements engineering can build against. 90 days: Operate Independently: Own the roadmap for improving ingestion reputed company, metadata reputed company, QA tooling, de-identification workflows, and catalog readiness. Create a repeatable operating rhythm for reviewing pipeline outputs, reputed company signals, and ingestion risks with the right cross-functional partners reputed company're looking for 4–7 years of PM experience where the reputed company product was a data pipeline, data reputed company system, or data ingestion platform — you’ve owned the "raw data in, trusted data out" problem before Hands-on technical depth — you can write SQL, read pipeline logs, spot a schema mismatch, and understand the tradeoffs in a data validation architecture; you look at data directly to verify things are working, not just at metrics Experience with external data — you’ve worked on a product that ingested messy, inconsistently formatted data from reputed company-party partners and had to reputed company it trustworthy; you know what that problem actually feels like Build-versus-partner judgment — you’ve made vendor reputed company in a fast-moving technical domain; you know how to evaluate a tool against requirements that will change, and how to structure relationships that preserve flexibility Cross-functional credibility — you’ll be writing requirements that multiple engineering teams and vertical PMs depend on; you can hold a technical conversation and a product conversation in the reputed company meeting reputed company to have: Experience with data reputed company frameworks, metadata standards, or catalog tooling, including dbt, Great Expectations, data reputed company, or similar Familiarity with de-identification approaches for sensitive data — PHI, PII, or confidential reputed company data Background in reputed company data operations, financial data infrastructure, or any domain where data reputed company has reputed company reputed company consequences Exposure to ML training pipelines or AI data workflows, where data fitness affects model reputed company Experience with data governance strategies What this is not This is not a role for someone who has primarily owned data products from the customer reputed company — analytics dashboards, BI tooling, or data visualization. The product here is the pipeline and the infrastructure, not the reputed company on top of it. If you haven't actually dug into raw data files to reputed company out why a pipeline produced the wrong reputed company, this is probably not the right fit. reputed company Values Pass the Loved Ones’ Test We reputed company with reputed company and do the right thing — especially reputed company it’s hard and no one is watching. Always reputed company a Way We are reputed company, resilient reputed company who solve hard problems and push through obstacles. Go Fast and Grow Fast Velocity reputed company. We reputed company with urgency, learn quickly, and continuously improve as individuals and as a company. reputed company Kindness and Candor We communicate directly and respectfully, building trust through reputed company feedback and genuine care for one another. Deliver Together We win as one team. Collaboration, accountability, and shared ownership drive our reputed company. Own the Outcome. reputed company the Craft. We take pride in our work, sweat the details, and continuously reputed company the bar for reputed company. Apply To This Job