VP of Engineering, Skylar AI

About ScienceLogic…

ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale.

We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.

We are seeking a visionary VP of Engineering to lead the development and delivery of ScienceLogic’s Skylar AI platform. This is a rare opportunity to own and shape the engineering strategy for a transformative AI product from the ground up - building the teams, systems, and culture that will drive ScienceLogic’s next decade of innovation.

The ideal candidate is a deeply technical AI practitioner and proven engineering leader who thrives at the intersection of cutting-edge AI research and large-scale enterprise software delivery. You will report to the CPEO and work in close partnership with Product, Design, Sales, and Customer Success to build AI experiences that are not only technically exceptional but commercially impactful.

Key Responsibilities

Own the Skylar AI Engineering Vision

• Working with the Skylar AI CTO, define and drive the end-to-end engineering strategy for the Skylar AI platform, including model architecture, inference infrastructure, data pipelines, APIs, and runtime services.
• Translate product and business objectives into a compelling technical roadmap, with clear milestones, priorities, and measurable outcomes.
• Serve as the primary engineering authority for Skylar AI—maintaining deep, hands-on engagement with core AI/ML systems, architecture decisions, and emerging capabilities.
• Champion responsible and explainable AI practices, establishing engineering standards that ensure reliability, safety, fairness, and scale.

Transform Engineering for an AI-First World

• Lead the transformation of ScienceLogic’s engineering processes, tooling, and culture to be AI-centric—embedding AI-assisted development, automated testing, and intelligent observability throughout the SDLC.
• Champion modern engineering methodologies including AI-augmented CI/CD, LLM-assisted code review, and automated quality assurance pipelines.
• Establish best practices for working with foundation models, fine-tuning workflows, RAG architectures, and AI evaluation frameworks.
• Drive a culture of continuous experimentation and rapid iteration, enabling the team to quickly test hypotheses, learn from data, and ship with confidence.

Build & Lead a World-Class Engineering Organization

• Recruit, develop, and retain exceptional engineering talent, building diverse, high-performing teams capable of delivering category-defining AI products.
• Create a culture of accountability, psychological safety, and excellence—where engineers are empowered to take ownership and push the boundaries of what’s possible.
• Define clear career paths, performance standards, and mentorship programs that attract top AI/ML engineers and grow them into future leaders.
• Lead geographically distributed teams with consistency and clarity, fostering cohesion and alignment across time zones and functions.
• Manage engineering capacity and resource planning to support aggressive growth targets while maintaining quality and sustainable team health.

Drive Cross-Functional Alignment & Executive Partnership

• Partner closely with the CTO, CPO, and executive leadership to align engineering investments with ScienceLogic’s revenue growth and strategic priorities.
• Collaborate with Sales, Marketing, and Customer Success to incorporate customer insights into the engineering roadmap and communicate platform capabilities with clarity and confidence.
• Represent Skylar AI externally as a thought leader—speaking at industry events, engaging with key customers and partners, and elevating ScienceLogic’s AI brand.
• Communicate roadmaps, progress, risks, and tradeoffs with precision and transparency to all stakeholders, including the board of directors.

Required Skills & Experience

• 15+ years of progressive engineering leadership experience, including 5+ years in senior roles (VP or equivalent) leading large-scale product engineering organizations.
• Deep, hands-on technical expertise in AI/ML—including experience with LLMs, neural networks, model training/fine-tuning, vector databases, RAG architectures, and AI evaluation methodologies.
• Proven track record of transforming engineering organizations to adopt AI-centric development practices, tooling, and workflows.
• Demonstrated success building and scaling high-performing, geographically distributed engineering teams in a fast-paced enterprise software environment.
• Strong command of modern cloud-native architectures—microservices, Kubernetes, event-driven systems—and experience delivering highly available, enterprise-grade SaaS platforms.
• Exceptional communication skills: ability to distill complex technical concepts for executive, customer, and board audiences with clarity and confidence.
• Track record of delivering products on time and on budget, with measurable business impact.
• Outstanding cross-functional collaboration skills and executive presence.

Preferred

• Experience in IT Operations, AIOps, ITOM, or ITSM domains.
• Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related technical discipline.
• Experience presenting at industry conferences or contributing to the external AI/engineering community as a thought leader.

Why ScienceLogic

• Own and define the engineering story for a flagship AI platform at the forefront of enterprise IT transformation.
• Join a leadership team that values bold thinking, transparency, and a relentless focus on customer outcomes.
• Competitive compensation package including equity, comprehensive benefits, and flexible remote work.
• A collaborative, mission-driven culture where your work directly shapes the future of AI-powered IT operations.

Benefits & Perks

• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

About ScienceLogic

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.

www.sciencelogic.com

Key skills/competency

• AI/ML Leadership
• Skylar AI Platform Engineering
• Enterprise Software Delivery
• AI-Centric Development Transformation
• Team Building & Management
• Cross-Functional Alignment
• Cloud-Native Architectures
• SaaS Platform Delivery
• Product Roadmapping
• Executive Communication