Senior Professional Services Engineer – Consultant

🕒 May 21

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Logo of Pendo.io

Pendo.io

501 - 1000 employees

Founded 2013

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 $110M Secondary Market on 2021-11

SaaS • Enterprise • Artificial Intelligence

Pendo. io is an AI-powered product experience platform that helps companies improve software experiences for both customers and employees. It offers a suite of tools including product analytics, in-app guides, session replay, and user feedback to optimize digital adoption and drive user engagement. Pendo's platform is designed to enhance user experience, increase product-led growth, and streamline digital workplaces through personalized communications and insights. The platform is utilized by tech-savvy teams to efficiently onboard users and manage SaaS portfolios, all while providing strategic data insights for better decision-making.

📋 Description

• Partner with Account Directors and Customer Engineers to qualify Professional Services opportunities and distinguish transformation gaps from tooling gaps. • Lead scoping conversations with customer stakeholders, define the problem, validate appetite, design engagement structures, and author Statements of Work that are commercially sound and delivery-ready. • Design and build technical solutions that extend Pendo’s capabilities and integrate with customer systems. • Own multiple complex technical projects end-to-end, including data engineering and system integration work. • Advise customers on data architecture, integration patterns, and long-term technical strategy. • Build reusable code libraries and frameworks that scale across the Professional Services team. • Identify patterns across engagements and turn them into reusable playbooks and documentation.

🎯 Requirements

• 7+ years of experience in a customer-facing technical role within B2B SaaS, with hands-on experience writing custom code and building integrations. • Strong proficiency in JavaScript, Python, or Node.js, with the ability to write production-quality backend code. • Deep experience with APIs, data pipelines, integration patterns, ETL processes, and data modeling. • SQL proficiency and strong data modeling expertise. • Experience working with REST APIs, webhooks, and event-driven architectures. • Demonstrated ability to translate complex data concepts into business value for both technical and business stakeholders. • Experience leading technical transformation initiatives and data infrastructure projects.

🏖️ Benefits

• Highly competitive, employer-heavy coverage including $0 premium options • Strong 401(k) match • Equity • Flexible time off

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