• Build the GTM engine: Design and own our end-to-end GTM systems (from signal → pipeline → revenue). • Drive pipeline creation: Own outbound systems (ICP definition, TAM building, enrichment, sequencing). • Launch and optimize multi-channel campaigns (email, LinkedIn, triggers, etc.). • Experiment relentlessly: Run experiments across targeting, messaging, and channels. • Build the stack: lead the technical integration and optimization of external tools (e.g. Clay, Instantly, Heyreach, Hubspot, Nooks, Weflow, enrichment APIs) into a cohesive, automated engine. • Build AI agents: design and deploy agents that optimize account research, reduce manual data entry, and enhance outbound personalization using various tools & APIs. • Engineer data flows: build the webhooks and middleware that sync data between our product, CRM and other internal systems with 100% integrity.

• Develop modern enterprise applications within an agile team • Design intuitive web frontends and user interfaces • Take responsibility for the integrity, security, and reliability of services and components • Continuously improve development processes and invest in your own skills and knowledge

• Conducts overall product, system, and component integration activities • All design and deployment activities are concerned with how to integrate in order to deliver the best product(s) for the user • Conducts activities with product and system requirements, plant-level specifications, and design requirement flow down • Facilitates and drives interface between multiple areas of the organization including Project, Product, Engineering, Sales, Licensing, etc • Has knowledge of best practices and how different areas integrate with others • Uses judgment and has some ability to propose different solutions outside of set parameters to address more complicated challenges with technical variety • Uses technical experience and analytical thinking • Uses multiple internal and external sources outside of Plant Integration team to arrive at decisions • Acts as a resource for colleagues with less experience • May lead small projects with low risks and resource requirements • Explains information; develops skills to bring team members to consensus around topics within field

• As a FullStack Developer, you’ll play a foundational role in building our partner’s first product: an online portal tailored to government needs that helps automate mission-critical processes. • You will be involved in the design and development of end-to-end features, leveraging both backend and frontend technologies, and working closely with infrastructure components to ensure performance and scalability. • Design and implement secure login workflows for both vendors and government staff. • Build and extend role-based access control, audit trails, and multi-tenant data isolation. • Develop and iterate on complex form-driven interfaces and workflow automation features using Vue.js. • Design and build RESTful APIs, data models, and backend logic for financial and procurement workflows. • Create database structures and integrations to manage vendor data and document history. • Develop document upload systems that support validation and AI-powered classification. • Write and maintain automated tests, including unit tests, integration tests and end-to-end tests (Playwright). • Work within a Django + Vue architecture, keeping frontend and backend cleanly decoupled. • Optimize and maintain infrastructure using AWS services (CloudFront, S3, RDS/PostgreSQL, ECS) and integrate with Cloudflare for performance and security. • Evaluate and integrate third-party APIs (e.g., Twilio, Process Plan) or suggest custom-built alternatives. • Contribute to the setup and evolution of CI/CD pipelines, development tools, and testing strategies. • Write clean, maintainable code using Python (Django) and Vue.js, with Node.js used only for frontend build processes. • Apply best practices in AI-assisted code generation and RPA integration. • Collaborate closely with the founding team on technical decisions and roadmap planning. • Help lay the foundation for future machine learning integrations and product scalability.