Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Build full-stack marketplace features for search, ranking, and renter-facing products while supporting ML Ops infrastructure. Develop model deployment pipelines, feature stores, real-time data pipelines, monitoring, and production integrations with data scientists. Write tested code, review contributions, plan technical work, and improve system performance, reliability, and scalability. Collaborate with product and globally distributed engineering teams.

Build full-stack marketplace features and ML Ops infrastructure for search, ranking, and renter-facing products. Develop model deployment pipelines, feature stores, real-time data pipelines, and monitoring using Chalk and Vertex AI. Collaborate with data scientists to productionize models, improve system performance and reliability, write tested code, participate in reviews, plan technical work, and communicate effectively across distributed teams.

Build and maintain finance-system integrations and automation across NetSuite, Celigo, Stripe, Salesforce, and other business platforms. Develop SuiteScript and JavaScript solutions, configure billing and invoicing workflows, create error handling and reconciliation checks, automate Billing and AR processes, manage environments and vendor support, and support finance systems, tax tooling, audits, and production operations.

Lead the end-to-end renter experience across web and native mobile for Apartment List’s Core product. Define product direction, conduct research and experimentation, create high-quality designs and coded AI-assisted prototypes, establish reusable design systems, and influence product and engineering leaders. Mentor designers through critique and collaboration while balancing product maintenance, innovation, and business impact.

Leads the Core renter experience across web and native mobile. Responsibilities include setting product direction, designing and prototyping functional experiences with AI tools, maintaining design systems, conducting research and experiments, collaborating with product and engineering, and mentoring designers. The role requires hands-on product design, strong visual and interaction craft, mobile-first thinking, and the ability to influence senior stakeholders while owning ambiguous, cross-functional problems.

Own and modernize Apartment List’s B2C lifecycle marketing program across email, push, and SMS. Build segmentation, personalization, partnerships, cross-sell, forecasting, experimentation, and measurement systems. Lead analytics and hands-on journey development, audience logic, troubleshooting, and SQL analysis. Manage and develop a two-person team, oversee the Iterable relationship, and partner with Engineering, Product, Analytics, Design, and senior leadership to drive renter engagement, retention, revenue, and marketplace growth.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements for cost efficiency, reliability, access control, observability, orchestration, CI/CD, and developer experience. Drive complex cross-team initiatives, resolve production issues, influence architectural decisions, mentor engineers, and build automation incorporating AI into data engineering workflows.

Build and deploy end-to-end ML models for renter acquisition, supply optimization, ranking, personalization, and marketplace optimization. Lead technical projects from problem framing through experimentation, launch, monitoring, and iteration. Apply statistical methods, causal inference, and rigorous A/B testing. Partner cross-functionally, mentor other data scientists, and raise modeling and experimentation standards.