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Director, Business Intelligence & Revenue Systems

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.


We’re looking for a strategic and hands-on Director, Business Intelligence & Revenue Systems to lead the evolution of our reporting infrastructure and GTM tech stack strategy. This role sits within the Commercial Strategy & Operations team and will manage a growing team of BI Developers and Analysts.


You'll be responsible for developing a cohesive, scalable reporting strategy that aligns with how StackAdapt runs—from empowering reps in the field to informing executive decisions. You’ll also play a critical role in shaping the future of our Salesforce environment and broader tech stack (Gong, HubSpot, ZoomInfo, MediaRadar), ensuring tight integration and insight across the entire sales and customer lifecycle.


This is a unique opportunity to lead high-impact work at the intersection of analytics, systems, and sales enablement.


StackAdapt is a Remote First company. We are open to candidates located anywhere in the United States or Canada for this position.


What you'll be doing:
  • Lead a growing team of BI Developers and Analysts, coaching and developing talent while fostering a high-performance culture focused on speed, reliability, and impact.
  • Own the strategy, implementation, and governance of GTM systems (e.g., Salesforce, Gong, HubSpot, ZoomInfo, MediaRadar), ensuring scalable processes, clean data, and a unified reporting experience with end-to-end visibility across the buyer journey.
  • Develop a holistic reporting and analytics strategy that supports all layers of the Revenue organization—from front-line reps to executive leadership.
  • Oversee dashboard design and data visualization strategy across tools like Tableau, Salesforce, Gong, and others—ensuring consistency, quality, and usability. Translate business requirements into scalable data models and dashboards that align to stakeholder needs.
  • Partner with Revenue Systems and stakeholders across Sales, CS, Marketing, and Finance to ensure tools and workflows support efficient selling, high data quality, and unified reporting.
  • Identify and implement automation opportunities across tools and workflows to improve seller efficiency, data hygiene, and reporting scalability.
  • Contribute to strategic planning cycles through system-enabled insights (e.g., headcount modeling, capacity planning, territory design).
  • Establish and enforce data governance standards and scalable reporting documentation to ensure data accuracy, consistency, and self-serve access across the organization.


What you’ll bring to the table:
  • 8-10+ years of experience in Revenue Operations, Business Intelligence, or Sales Strategy, including people leadership experience, ideally with time spent at a high-growth SaaS or tech company.
  • Proven track record in designing and operationalizing multi-level reporting strategies across a sales or customer-facing organization.
  • Expertise in Tableau and Salesforce reporting, with a strong understanding of how to tailor insights to different stakeholder levels.
  • Experience integrating and reporting across tools like Gong, HubSpot, ZoomInfo, MediaRadar, or similar GTM tech stack platforms.
  • Strong understanding of sales and customer lifecycle workflows and the data needed to drive adoption and performance at each stage.
  • Strategic mindset with ability to zoom out to solve org-wide problems while staying hands-on to drive execution.
  • Excellent communication and stakeholder management skills—comfortable presenting to and influencing executive audiences.
  • Strong SQL skills; familiarity with Python, BigQuery, or other data platforms a plus.
  • Passion for coaching and developing talent; experience building high-performing teams.


StackAdapters enjoy:
  • Highly competitive salary
  • RRSP/401K matching
  • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
  • Access to a comprehensive mental health care platform
  • Full benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave policy
  • A friendly, welcoming, and supportive culture
  • Our social and team events!


StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.


About StackAdapt


We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:



Ad Age Best Places to Work 2024

G2 Top Software and Top Marketing and Advertising Product for 2024

Campaign’s Best Places to Work 2023 for the UK

2024 Best Workplaces for Women and in Canada by Great Place to Work®

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising


#LI-Remote

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CEO of StackAdapt
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Vitaly Pecherskiy
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StackAdapt is a self-serve advertising platform offering multi-channel solutions like native, display, video, connected TV, and audio ads, combining advanced machine learning with an exceptional user experience.

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Full-time, remote
DATE POSTED
June 25, 2025

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