Delivery Engineer II
Leads post-sales onboarding, data health, and technical adoption for strategic Mixpanel customers. The role combines data architecture, analytics implementation, project delivery, and AI workflow consulting across customer engineering, product, and marketing teams.
About the job
Responsibilities
- Own onboarding and data health for strategic and high-value clients, including data quality enhancements and technology-stack integration.
- Align with pre-sales teams and consult with prospects and clients to define business goals, metrics, data architecture, and project outcomes.
- Engage engineering, product management, and marketing stakeholders on technical onboarding, deployment optimization, and data trust.
- Deliver technical services including data architecture consultation, adoption support, and change-management best practices.
- Create scalable data governance practices, optimize data, and execute reimplementation projects.
- Manage deliverables, project timelines, scope, and unexpected issues.
- Collaborate with technical and solutions partners on data optimization and onboarding projects.
- Sponsor internal engagements with product and engineering teams to prioritize client-driven work.
- Build AI automations and advise customers on integrating agentic workflows with Mixpanel data.
Requirements
- Experience querying, modeling, and transforming data with at least one of SQL, dbt, Python, business intelligence tools, or product analytics tools.
- Familiarity with databases and cloud data warehouses such as Google Cloud, Amazon Redshift, and Microsoft Azure.
- Familiarity with product analytics implementation methods including SDKs, customer data platforms, event streaming, and reverse ETL.
- Knowledge of analytics best practices across business segments and verticals.
- Experience managing complex projects with multiple client stakeholders, scope, and timelines.
- Experience embedding AI into workflows, using MCP servers, building skills, and setting context.
- Experience in customer success, client-facing professional services, consulting, or technical project management.
- Excellent written, analytical, and communication skills.
- Strong process and project delivery discipline.
- Ability to learn new technologies and adapt to evolving customer needs.
Compensation & Benefits
- Total target cash compensation: $108,500–$146,500 USD, including base and variable compensation.
- Eligible for equity consideration.
- Medical, vision, and dental insurance.
- Mental wellness benefit.
- Generous vacation policy and additional company holidays.
- Enhanced parental leave.
- Volunteer time off.
- US pre-tax benefits, including 401(k), wellness benefit, and holiday break.
Skills
SQL, dbt, Python, GCP, Amazon Redshift, Microsoft Azure, SDKs, Customer Data Platforms, Event Streaming, Reverse Etl, Mcp Servers, Data Governance, Data Architecture, Product Analytics
Similar jobs
Solutions Architecture jobs
Octus
United States
Own end-to-end client onboarding for the LevPro platform, translating financial-services workflows into configurations, coordinating integrations, and training users. The role requires 5–7 years of client-facing implementation or project management experience, including relevant leveraged credit or fixed-income experience.
Greenhouse
United States
Own complex strategic enablement engagements for major customers, advising on Greenhouse workflows, configurations, recruiting strategies, audits, and change management. Requires extensive Greenhouse knowledge, project management experience, and at least three years advising on talent-related functions.
Notion
New York, NYDesigns and deploys AI-native Notion workflows and architectures for customers, guiding engagements from discovery through launch and adoption. The role requires 5+ years in customer-facing services or solutions architecture, strong technical fluency, consultative discovery, and implementation leadership.
Dialpad
United States
Build and deploy customer-specific AI agents from scoping through production launch and first-shift stabilization. The role combines customer workflow design, applied AI engineering, enterprise integrations, evaluation, and production hardening.
Stream
Boulder, CO
Own customer onboarding, configuration, tuning, and enablement for an AI moderation product. The role requires 3+ years in a technical customer-facing SaaS function, strong project management and analytical skills, and willingness to work with difficult content.