• Lead the technical execution and successful delivery of large, complex projects, providing architectural guidance and coordinating efforts among team members and relevant stakeholders. • Be accountable for the long-term architecture, health, and quality of the team’s codebase and systems. • Champion the adoption and execution of an AI-driven SDLC, specifically utilizing agent-based building techniques, and demonstrating a high degree of flexibility and willingness to learn. • Lead engineering designs, soliciting feedback and building consensus across the team, while presenting and implementing best practices and patterns. • Take full-cycle ownership of projects, including coordination, planning, risk management, security and compliance reviews, design, development, testing, rollout, and maintenance; resulting in an improvement of customer, product, and/or business outcomes. • Make high-quality, impactful technical contributions across the full stack, encompassing light infrastructure work and a full-stack Ruby on Rails monolith. • Drive collaboration with teammates, partners, and stakeholders to advance team and organizational goals. • Mentor L5 engineers, lifting the skills and expertise of those around you, and cultivating learning and growth within the team.

• Building, testing and deploying software in a continuous manner (we deploy daily or more often). • Creating and contributing to technical specs and testing/rollout plans. • Working with internal customers and stakeholders to ensure we’re solving the right problems. • Mentoring and sponsoring your teammates to help them grow. • Working across teams to shape the future of engineering at Pilot. • Supporting your software and services as required.

• Build the platform that powers the field. • Own the full product lifecycle — 0→1, 1→10, and 10→100. • Work in one of the most dynamic problem spaces in the business. • Leverage AI-augmented development. • Combat modern cyber threats at scale. • Partner closely with customers and the field.

• Define and continuously refine ideal customer profiles across industries, ecosystems, and business models. • Identify key pain points, buying triggers, and high-conversion use cases. • Develop account scoring models using firmographic, technographic, behavioral, and intent-based signals. • Test and iterate targeting hypotheses based on real-world feedback. • Build workflows to transform raw market data into prioritized target account lists. • Source and structure data from web signals, technology stacks, and enrichment tools. • Identify patterns across platforms, tools, and behaviors that indicate strong fit or intent. • Design prioritization frameworks to guide outbound focus and resource allocation. • Design and execute outbound strategies across email, LinkedIn, and other relevant channels. • Build personalization systems based on meaningful business signals, not generic templates. • Translate data insights into compelling messaging angles tied to real customer pain points. • Develop and iterate on sequencing, messaging logic, and testing frameworks. • Build and maintain automated workflows across data sources, CRMs, and outreach tools. • Integrate APIs, enrichment platforms, and internal systems into a unified GTM architecture. • Own the full lifecycle from prospect identification to qualified opportunity through automation. • Continuously improve efficiency, speed, and scalability of GTM processes. • Launch experiments quickly and refine based on performance data. • Balance speed with usability, ensuring outputs can be adopted by the broader team. • Operate independently with minimal direction in a fast-paced environment. • Document systems and workflows clearly for scalability and continuity.