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Pendo via Greenhouse

Sr. Professional Services Engineer Consultant

senior $145.4k–175k/yr United States
still open verified 6h ago posted 117d ago checked 3h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 117d ago

The date the source published, not the day we noticed it (2026-05-20). Last seen at its source 3h ago.

Is it remote?

Raleigh, NC / San Francisco, CA / New York, NY / Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

United States

The description states no restriction of its own. This is the source's own tag.

Pay

$145.4k–175k/yr

Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.

Skills named in the ad

BigQueryCustomer SuccessData ModelingETLJavaScriptNode.jsPythonRESTSQLSalesforceSnowflakeSparkTroubleshootingdbt

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

The Team + The Role

Pendo’s Professional Services team is part of the broader Strategy & Transformation organization. The team helps customers transform how they operate, not just how they use Pendo, through technical and strategic consulting. This work spans complex technical engagements, including system migrations, integrations, and data work, as well as advisory support that helps customers evolve their processes, teams, and ways of working.

As a Sr. Professional Services Engineer Consultant, you will own the design and delivery of complex technical engagements. You will work at the intersection of product, data, and engineering, extending Pendo’s capabilities through custom integrations, data pipelines, APIs, and technical solutions that connect Pendo to customers’ broader ecosystems. You will partner with consultants and Customer Engineers to deliver outcome-driven engagements that accelerate time to value and enable long-term customer success.

This role is based in Raleigh, San Francisco or remote

What this looks like day-to-day

  • Engagement design and scoping: 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.
  • Custom integrations and data solutions: 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.
  • Technical project delivery: 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.
  • Data and architecture consulting: 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.
  • Enablement and reusability: 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.
  • Practice impact and field intelligence: Identify patterns across engagements and turn them into reusable playbooks, documentation, and delivery approaches. Share field intelligence with Product and cross-functional teams so customer transformation challenges inform how Pendo supports adoption and long-term value.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Sr. PSE Consultants don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

  • 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.

Nice-to-haves

  • 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.
  • Experience with the modern data stack, such as Segment, Snowflake, BigQuery, dbt, or Fivetran.
  • AI/ML integration experience, including feature engineering and MCP implementations.
  • Background in data engineering, integration consulting, or technical services focused on custom development.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: San Francisco, Raleigh or remote

Compensation: The expected salary range for this role to be performed in San Francisco $145,400 - $175,000, Raleigh or Remote: $132,200 - $159,0000

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Apply at job-boards.greenhouse.io