Director of Engineering
- 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.
- 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.
- 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.
- 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.
- 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