Senior Data AI Engineer

Location: San Francisco or Montreal/Quebec preferred. US or Canada remote accepted.Reporting to: Co-Founder and Chief Data OfficerCompensation: $145K–$175K base + stock options (0.25%–0.40%) + benefitsWork Authorization: Candidates must have existing authorization to work in the United States or Canada. Paren does not sponsor visas at this time.Building the Data Intelligence Layer for an Entire IndustryWe’re building the data intelligence layer for an entire industry.Our platform ingests, structures, and enriches large, fragmented datasets — transforming them into high-quality, decision-ready data products. Customers embed our data directly into their BI tools or use our lightweight reporting layer to drive critical decisions.Already, our data is becoming deeply embedded in how leading companies operate.Now, we’re entering the next phase: Applying AI to fundamentally change how data is collected, maintained, activated, and analyzed both internal and customer facing.This is a pivotal moment to join — as we evolve from a data platform into an AI-powered data engine.Own the Data & AI PlatformYou will play a central role in building and scaling our data and AI platform.Working directly with the founders, you’ll design and operate the systems that power our datasets — and increasingly, the intelligence layer on top of them. You’ll take ownership of how data flows through the company, from ingestion to end-user value.This is not a pure infrastructure role. Your mandate is to turn complex, messy data into reliable, high-impact products.Make an ImpactArchitect and build scalable pipelines to ingest, normalize, and enrich complex datasetsTurn fragmented, real-world data into structured, high-quality data productsOwn and continuously improve data quality, coverage, and freshnessBuild data models and outputs that directly power customer-facing analyticsApply AI to automate and improve how data is created, maintained, and validatedPartner closely with founders and customers to shape what gets builtHelp define and evolve our AI + data stack as the landscape rapidly changesBring Your Experience to Scale the Platform5+ years in data engineering, backend engineering, or similar rolesExperience building and scaling production-grade data pipelinesStrong proficiency in Python, SQL, and working with large datasetsExperience applying AI/ML tools within data systems or workflowsComfort working with ambiguous, messy, real-world dataStrong product instincts — you think about how data is used, not just builtAbility to operate independently in a fast-moving, early-stage environmentNice to HaveExperience turning unstructured data into product-grade insightsBackground in early-stage or high-growth environmentsExperience defining or influencing technical architectureWhat You’ll Get in ReturnCompetitive base salary: $145K–$175K baseStock options: 0.25%–0.40%, depending on experience and scopeMedical and dental coverage: Up to 100% covered for you, 75% coverage for dependents401(k) plan3 weeks of paid time off (4 weeks in Canada)1 company-wide soft close (1 week) during the winter holidaysAnnual company retreatAmazing office space in the heart of San Francisco’s Jackson Square if this is where you are based.Financial incentives to electrify your commute (EV or e-bike)Full benefits details: https://www.paren.app/careersWe are an equal opportunity employer committed to fostering a diverse and inclusive workplace where everyone feels valued and respected.