About Fullcast, Inc

Fullcast is a leading RevOps platform designed to help companies scale smarter by aligning people, processes, and performance. We help companies grow revenue efficiently through our end-to-end revenue platform that provides solutions for territory management & optimization, quota and target alignment, incentive pay management (commissions), sales team performance intelligence, and revenue intelligence, enabled with AI capabilities. We provide a full plan to pay solution for revenue teams.

We’re a team of builders, problem-solvers, and big thinkers who believe that operational excellence and human connection drive sustainable growth.

Our core values are Stewardship, Impact, Simplicity, and Grit.

Our team spans six countries. The Fullcast team members enjoy a fully remote environment with hubs located in Salt Lake City, Washington, Silicon Valley, and London.

We’re seeking a visionary Director of Engineering to lead the strategy, architecture, and execution of our Sales Commissions and Quota Management Platform — a cornerstone of our go-to-market operations solution. This role will oversee multiple engineering teams responsible for delivering a world-class, scalable, and AI-enabled SaaS platform that transforms how enterprises manage their revenue operations.

As a senior technology leader, you will drive both product and platform excellence, blending strategic direction with deep technical acumen. You will shape the engineering culture, define architectural standards, and champion the integration of AI across enterprise workflows — from intelligent automation and predictive analytics to contextual insights that empower customers to operate smarter and faster.

Key Responsibilities:

• Define and drive engineering strategy for the Commissions & Quota Management Platform, ensuring scalability, reliability, and innovation across all releases.
• Lead multiple engineering teams and senior managers — setting clear priorities, establishing technical excellence, and mentoring future leaders.
• Partner with Product, Data Science, and Design leadership to translate business vision into actionable technology roadmaps with measurable customer outcomes.
• Architect and evolve a modern, AI-driven enterprise SaaS platform that leverages automation, anomaly detection, and intelligent recommendations.
• Foster a culture of engineering excellence through disciplined processes, code quality, observability, documentation, and operational rigor.
• Shape and enforce platform standards for performance, scalability, reliability, and security — including data privacy, compliance, and responsible AI practices.
• Collaborate cross-functionally to integrate AI and ML models into customer-facing and backend systems, ensuring they enhance usability and insight generation.
• Drive continuous improvement in CI/CD, DevOps, and agile delivery practices to accelerate time-to-market without compromising quality.
• Represent engineering in executive forums, providing clear updates on platform progress, risks, and opportunities.
• Attract, develop, and retain top talent, building a high-performing, collaborative, and AI-forward engineering organization.

Required Qualifications

• 10+ years of software engineering experience, including 5+ years in engineering leadership (managing multiple teams or managers).
• Proven track record of building and scaling enterprise SaaS platforms serving large B2B customers.
• Deep understanding of sales commissions, quota management, or incentive compensation systems (e.g., Xactly, Varicent, CaptivateIQ).
• Strong background in multi-tenant SaaS architecture, data modeling, and API-driven ecosystems.
• Demonstrated experience applying AI and ML in enterprise SaaS — such as intelligent automation, data enrichment, predictive analytics, or AI copilots.
• Technical depth in cloud-native engineering (AWS, Azure, or GCP), distributed systems, and high-availability architectures.
• Experience leading cross-functional collaboration across Product, Design, and Customer Success teams to deliver complex, customer-centric solutions.
• Strong communication and organizational skills with a track record of influencing product direction and executive decision-making.
• Ability to work with engineering teams across various time zones, including India and South America.
  
  
  

Preferred Qualifications

• Experience in Revenue Operations (RevOps) or related go-to-market domains.
• Familiarity with LLM-powered experiences or AI copilots in enterprise software.
• Knowledge of data governance, model observability, and responsible AI frameworks.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Physical Activities &  Requirements

• Finger Dexterity: Using primarily just the fingers to make small movements such as typing, picking up small objects, or pinching fingers together.
• Talking: Especially where one must frequently convey detailed or important instructions or ideas accurately, loudly, or quickly.
• Average Hearing: Able to hear average or normal conversations and receive ordinary information.
• Average Visual Abilities: Average, ordinary visual acuity necessary to prepare or inspect documents, products, or machinery.
• Physical Strength: Sedentary work; sitting most of the time with occasional walking. May stand, sits, lifts and bends intermittently throughout the day. Temperature variations can occur. 
• Predictable Attendance is an essential duty of the position. Employees must work regularly scheduled shifts, during business hours.

Physical Activities &  Requirements

• Reasoning Ability: Ability to deal with a variety of variables under only limited standardization.  Able to interpret various instructions.
• Mathematics Ability: Ability to perform basic math skills, use decimals to compute ratios and percentages, and to draw and interpret graphs.
• Language Ability: Ability to read a variety of books, magazines, instruction manuals, atlases, and encyclopedias.  Ability to prepare memos, reports, and essays using proper punctuation, spelling, and grammar.  Ability to communicate distinctly with appropriate pauses and emphasis; correct pronunciation (or sign equivalent); and variation in word order using present, perfect, and future tenses.

Working Conditions

Primary work is non-manual, office-related. The company is fully-remote. Occasional travel to meetings or company on-site events may be required.

Intent and Function of Job Descriptions

Job descriptions assist organizations in ensuring that the hiring process is fairly administered and that qualified employees are selected.  They are also essential to an effective appraisal system and related promotion, transfer, layoff, and termination decisions.  Well-constructed job descriptions are an integral part of any effective compensation system.  

All descriptions have been reviewed to ensure that only essential functions and basic duties have been included.  Peripheral tasks, only incidentally related to each position, have been excluded.  Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions.  In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive.  Additional functions and requirements may be assigned by supervisors as deemed appropriate.  

In accordance with the Americans with Disabilities Act, it is possible that requirements may be modified to reasonably accommodate disabled individuals.  However, no accommodations will be made which may pose serious health or safety risks to the employee or others or which impose undue hardships on the organization.

Job descriptions are not intended as and do not create employment contracts.  The organization maintains its status as an at-will employer.  Employees can be terminated for any reason not prohibited by law.