Sr. Professional Services Engineer Consultant

Pendo Pendo · Enterprise · SF Bay Metro, CA · Remote · Professional Services

This role focuses on designing and delivering complex technical engagements for enterprise clients, primarily involving custom integrations, data pipelines, and APIs to connect Pendo with customer ecosystems. It involves building production-quality code, designing data solutions, and advising on data architecture and technical strategy, with a specific emphasis on integrating with emerging AI/ML systems and supporting AI/ML use cases. The role requires a builder mindset and curiosity towards AI as a multiplier.

What you'd actually do

  1. Design and build technical solutions that extend Pendo’s capabilities and integrate with customer systems. Write production-quality code, build APIs, design data pipelines, and implement ETL processes across data warehouses, analytics platforms, BI tools, and emerging AI/ML systems.
  2. Own multiple complex technical projects end-to-end, including data engineering and system integration work. Lead execution, troubleshoot issues, provide technical leadership on escalated engagements, and ensure delivery aligns to customer outcomes, scope, and timeline.
  3. 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.
  4. Advise customers on data architecture, integration patterns, and long-term technical strategy. Support instrumentation design for advanced analytics and AI/ML use cases, and guide customers through technical transformations involving data infrastructure and system design.
  5. Build reusable code libraries, frameworks, and integration patterns that scale across the Professional Services team. Mentor consultants on data flows, API usage, debugging approaches, and technical problem-solving to raise the overall capability of the organization.

Skills

Required

  • JavaScript
  • Python
  • Node.js
  • production-quality backend code
  • APIs
  • data pipelines
  • integration patterns
  • ETL processes
  • data modeling
  • SQL
  • REST APIs
  • webhooks
  • event-driven architectures
  • technical transformation initiatives
  • data infrastructure projects

Nice to have

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
  • Application development experience with Node.js, Python, or a related language or framework
  • modern data stack
  • Segment
  • Snowflake
  • BigQuery
  • dbt
  • Fivetran
  • AI/ML integration
  • feature engineering
  • MCP implementations
  • data engineering
  • integration consulting
  • technical services focused on custom development

What the JD emphasized

  • production-quality code
  • custom integrations
  • data pipelines
  • APIs
  • technical solutions
  • AI/ML systems
  • AI/ML use cases
  • technical transformations
  • data infrastructure
  • system design
  • customer-facing technical role
  • writing custom code
  • building integrations
  • backend code
  • data pipelines
  • integration patterns
  • ETL processes
  • data modeling
  • technical transformation initiatives
  • data infrastructure projects