Sr. Manager Customer Data Engineering

Base pay range

$/yr - $/yr

Captivate

IQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader sales planning challenges. Recognized by industry analysts like Forrester and G2 and backed by top‑tier investors, including Sequoia, ICONIQ and Accel, we empower high‑growth companies like Netflix, Figma and Stripe with the flexibility and insights needed to drive revenue performance.

Join a talented, fast‑growing team committed to solving some of the most complex and impactful problems in sales performance management.

As a Data Engineering Manager in the Incentive Commission Plans (ICM) Pillar, you will lead the Payee team. This distributed team ensures that our customers' incentive‑compensated staff receive timely and accurate insights into their pay and opportunities for earnings in a modern interface targeting their unique needs. You will partner with the local Engineering Director to shape the culture and scale the organization in Europe.

• Hybrid:
  Austin, TX
• Remote:
  Raleigh, NC | Nashville, TN | Toronto, Canada

• Lead, inspire, and grow a distributed data engineering team, fostering a culture of high trust and psychological safety.
• Develop engineering talent through effective coaching, mentorship, and performance management, with a focus on growing senior and staff‑level engineers.
• Own the end‑to‑end delivery and operational excellence of customer data integrations, ensuring they are reliable and secure at scale.
• Design and implement customer data integrations using IPaaS platforms like Workato, Boomi, or Mule Soft.
• Write and optimize advanced SQL (Snowflake) — including DDL, DML, CTEs, UDFs, and JSON transformations — to power analytics and automation.
• Build and maintain software for orchestration of customer data integrations utilizing web APIs and IPaaS connectors to seamlessly exchange data between Captivate
  
  IQ and our customers.
• Ensure customer integrations are secure, testable, fault‑tolerant, and designed for long‑term maintainability.
• Collaborate with Sales Engineering and Product during discovery and scoping to advise on technical feasibility and data architecture approaches.
• Build relationships with product engineering to ensure scalability and management of our customer data integrations as customer usage grows.
• Translate customer business needs into the technical requirements and solution.

• A strong (7+ years of experience) background in software and/or data engineering.
• Proven experience working with data pipelines at scale and knowledge of data engineering technologies, such as Snowflake.
• Strong proficiency in Python and SQL.
• High sense of ownership and a strong growth mindset; you are a collaborative, humble learner who can thrive in a fast‑paced environment.

• You’ve previously operated in a customer‑facing role.
• Experience configuring and troubleshooting SSO (SAML, OIDC) and SCIM provisioning across Okta, Entra (Azure AD), and One Login environments.
• Hands‑on experience with setting up modern data stacks (ETL, data warehouses, DBT, reverse ETL).

• (US‑ONLY) 100% medical, dental, and vision covered (including 75% for dependents).
• Flexible vacation days and quarterly mental health days so you can recharge.
• (US‑ONLY) 401(k) plan to participate in and save towards the future.
• Newest Apple products to help you do your best work.
• Employee Resource Groups (ERGs) to support and celebrate the shared identities and life experiences of communities within Captivate
  
  IQ.

• Only emails from  should be trusted.
• We are aware of active recruitment scams using the Captivate
  
  IQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet.
• We will never do the following: attempt to correspond with a candidate using a free web‑based email account, make an offer of employment without conducting multiple rounds of interviews face‑to‑face using secure video‑conferencing technology, ask candidates to cash checks to buy equipment on…