Job Description
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Company Overview
A technology company provides an AI-powered analytics platform that helps organizations understand user behavior, evaluate digital experiences, and improve product performance. Its platform supports product, data, and marketing teams with analytics capabilities, experimentation tools, and AI-driven insights. The company serves enterprise customers and focuses on helping organizations make data-informed decisions and deliver better digital products.
Responsibilities
- Own enterprise implementations from initial sales discussions and requirements assessment through implementation, deployment, and post-deployment validation.
- Map customer needs to existing product capabilities, define implementation plans, and establish measurable customer outcomes.
- Work directly in production codebases to develop, test, review, and ship customer-specific solutions.
- Deliver working software with appropriate testing and minimal supervision.
- Gather customer feedback early and frequently, using it to validate solutions and guide iterative improvements.
- Develop reusable implementation patterns, technical playbooks, and documentation to reduce effort across future engagements.
- Translate customer challenges into structured product feedback that informs engineering priorities and product roadmaps.
- Integrate AI tools into coding, testing, debugging, and delivery workflows to improve engineering effectiveness.
- Identify customer accounts that would benefit from forward deployed engineering support and assess whether engagements are appropriate.
- Collaborate with Sales, Customer Success, Product, and Product Engineering to align technical implementation with customer goals.
- Track implementation cycle time, customer outcome achievement, reuse of established patterns, and the quality of product feedback.
- Manage multiple concurrent customer engagements while maintaining technical quality and delivery ownership.
- Communicate technical solutions through prototypes, demonstrations, wireframes, and other practical artifacts.
- Identify blockers, resolve implementation challenges, and drive customer projects through to successful completion.
Qualifications
- At least 5 years of professional experience, including ownership of customer-facing technical engagements from start to finish.
- Bachelor’s degree.
- Demonstrated ability to design reusable technical solutions and mentor other engineers.
- Ability to work autonomously across approximately 4–6 concurrent customer engagements.
- Hands-on experience delivering software for customers or stakeholders through implementations, integrations, or other technical engagements.
- Confidence working in complex, unfamiliar codebases, including reading, writing, and reviewing production code and submitting pull requests with appropriate testing.
- Strong understanding of data and integration concepts, including event schemas, data pipelines, APIs, SDKs, and analytics integrations.
- Ability to communicate technical concepts clearly to both engineering teams and business stakeholders.
- Strong ownership, initiative, and problem-solving skills, with a focus on delivering working solutions rather than simply handing off problems.
- Customer-focused approach with the ability to overcome blockers and drive implementations toward measurable outcomes.
- Curiosity, adaptability, and the ability to learn unfamiliar technical and business domains quickly.
- Familiarity with TypeScript, React, Python, Node.js, and AWS.
- Experience incorporating AI tools into everyday software engineering workflows.
Disclaimer
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