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

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Lead Zeta’s AI-native Application Security function by defining strategy, building the team, embedding security agents and policy-as-code into IDEs, pull requests, CI/CD, and AI/ML pipelines, and overseeing continuous threat modeling and validation. Own security for AI systems, models, prompts, and agents, including adversarial testing for prompt injection, model abuse, and data leakage. Mentor engineers and promote automated, secure software development practices.

Own enterprise client relationships and drive profitable revenue growth through expansions, renewals, strategic pursuits, and new solutions. Lead client strategy, executive communications, contracting, and cross-functional teams to deliver measurable business impact and high satisfaction. Build repeatable client development processes, navigate stakeholder complexity, identify custom opportunities, and sell data-driven managed-service campaigns across multiple media channels.

Leads client-facing data science and analytics initiatives, translating complex marketing and media data into actionable business narratives. Develops measurement strategies, including test/holdout incrementality, informs acquisition and retention decisions, scales analytics best practices, and manages analyst teams. Partners with Sales, Client Services, Operations, and other stakeholders while supporting predictive and adaptive AI/ML solutions. The role requires strong client communication, strategic leadership, analytics expertise, and proficiency with Python, SQL, Tableau, and related tools.

The Talent Acquisition Partner sources, screens, and engages candidates across multiple roles. Responsibilities include partnering with recruiters and hiring managers, conducting resume reviews and phone screens, coordinating interviews, maintaining candidate records in Greenhouse, supporting recruiting projects, improving processes, and delivering a positive candidate experience.

Supports Strategic Account Directors by coordinating client campaign deliverables, internal teams, roadmaps, and timelines. Analyzes Zeta Marketing Platform data to identify trends and actionable recommendations, activates platform solutions, supports first-party audience data onboarding, and assists with client meetings and performance reviews. The role manages client communications, resolves delivery risks, aligns stakeholders, and helps improve campaign outcomes and client satisfaction.

Build, deploy, and operate production-grade data pipelines and data products for healthcare audiences. Design transformations, data models, and governed views using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement data-quality, monitoring, and privacy-by-design controls for PHI/PII. Partner with product, analytics, and platform teams to onboard sources, support audience discovery, segmentation, activation, measurement, and troubleshoot production issues.

Lead Paid Search strategy and performance for Higher Education clients, driving enrollment-focused paid search programs across multi-account portfolios. Set vision, scale performance frameworks, manage multimillion-dollar budgets, mentor a search team, own execution and measurement, partner with analytics for attribution, and deliver executive-level reporting and growth recommendations.

The Vice President of Enterprise Sales will engage with large enterprise clients to cultivate relationships, drive revenue growth, and ensure customer satisfaction by managing the full sales cycle and developing bespoke growth strategies.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.