Sr. Manager Customer Data Engineering

CaptivateIQ 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.

About the Role

Behind every great software company is the team building it. We are an engineering team of multicultural, highly collaborative, fully distributed, humble learners. We pride ourselves on building best-in-class products powered by innovative technologies.

As an 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.

Job Location

The candidate selected for this opportunity must reside near one of the following locations:

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 MuleSoft.
• 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 CaptivateIQ 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 proficiency
• 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 OneLogin environments.
• Hands-on experience with setting up modern data stacks (ETL, data warehouses, DBT, reverse ETL)

• (US-ONLY) 100% of medical, dental, and vision covered including 75% for dependents
• Flexible vacation days and quarterly mental health days so you can recharge
• (US-ONLY) 401k 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 CaptivateIQ. ERGs directly support our company-wide DEI goals as a space for developing and retaining diverse talent

• Only emails from should be trusted.
• We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in , , , etc.
• 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 behalf of CaptivateIQ.
• Ask candidates to make a payment in order to be considered for a position.
• Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
• Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
• Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.

The base range represents the minimum and maximum for this position across North America. For candidates in Austin and Raleigh, the range is $206,000–$256,000; for Toronto, Nashville locations, the range is $186,000–$225,000. The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.

CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.