8 часов назад
Delivery Engineer III
137 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Delivery Engineer III (Data Analytics and AI): Leading strategic customer onboarding, data health, and technical integration of product analytics into modern data stacks with an accent on data architecture, governance, and customer-facing project delivery. Focus on building AI automations, integrating agentic workflows with Mixpanel data, and solving complex data quality, scope, and stakeholder management challenges.
Location: Remote, US
Salary: $137,000–$185,000 USD annual total target cash compensation, including base and variable compensation. Equity may also be available.
Company
provides a product intelligence and analytics platform that helps companies understand product usage and make data-informed decisions.
What you will do
- Own onboarding and data health for strategic and high-value customers.
- Define business goals, metrics, data architecture, and project outcomes with prospects, clients, and pre-sales teams.
- Partner with engineering, product management, marketing, and technical partners to implement and optimize deployments.
- Deliver data architecture consulting, data optimization, re-implementation, adoption, and change management services.
- Manage project scope, timelines, deliverables, and unexpected issues across complex client engagements.
- Build AI automations and advise customers on integrating agentic workflows with data.
Requirements
- Experience querying, modeling, and transforming data with at least one core tool such as SQL, dbt, Python, business intelligence, or product analytics tools.
- Knowledge of databases and cloud data warehouses, including Google Cloud, Amazon Redshift, or Microsoft Azure.
- Familiarity with product analytics implementation methods such as SDKs, customer data platforms, event streaming, and reverse ETL.
- Experience managing complex projects and diverse client stakeholders while controlling scope and timelines.
- Experience in customer success, client-facing professional services, consulting, or technical project management.
- Experience embedding AI into workflows, using MCP servers, building skills, and setting context for AI and data strategies.
Nice to have
- Broad analytics expertise across business segments and industry verticals.
- Strong process and project delivery discipline.
- Ability to learn new technologies and adapt to evolving customer needs.
Culture & Benefits
- Medical, vision, and dental insurance.
- Mental wellness benefit and wellness support.
- Generous vacation policy, additional company holidays, and holiday break.
- Enhanced parental leave and volunteer time off.
- US benefits including pre-tax benefits and 401(k).
- Values emphasize customer success, cross-functional collaboration, candid communication, insight-driven innovation, and simple solutions to complex problems.
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