• Maintain and evolve cloud infrastructure in AWS GovCloud • Work collaboratively with other engineering teams responsible for building the applications and services that sit atop the cloud infrastructure • Contribute to infrastructure improvements that will make all of WellHive’s engineering teams more efficient • Participate in code reviews, design sessions, and all sprint ceremonies (standup, sprint review, retrospective, grooming) • Participate in on-call incident resolution schedule rotation

• Build robust, well-designed and effective software that solves complex problems. • Test, review and deploy code quickly. We deploy over 10 times per day and manage major releases with feature flags rather than coordinated deployments. • Research, learn and share new techniques for solving complex engineering problems. We’re a highly collaborative team and we push each other to find better solutions every day. • Write tools and develop practices for the engineering team. From GraphQL-to-Typescript compilers to fully automated deployments, we take the time to invest heavily in our own productivity. • Own projects from end-to-end. On a given day you might be building a system to measure search engine performance, reworking an integration with a telephony provider, or designing a UI component library.

• Own GTM Engineering initiatives from conception to delivery • Identify, scope, and prioritize GTM Engineering opportunities with Sales, Marketing, and RevOps leadership. • Translate business needs into clear technical requirements and delivery plans. • Run GTM Engineering like product releases: design, build, QA, launch, measure, iterate. • Build scalable automations and workflows across the GTM stack • Build and maintain Clay workflows for enrichment, routing, segmentation, scoring, and trigger-based actions. • Automate manual tasks that slow down revenue teams (research, list building, enrichment, lead management, CRM hygiene). • Implement workflow orchestration across systems (Salesforce + intent tools + conversation intelligence + engagement tools). • Create and operationalize an intent/signals engine • Combine multiple signal sources into composite scoring models and actionable triggers (fit + intent + engagement + timing). • Design automation logic that avoids “single-signal spam” and instead prioritizes high-quality, high-confidence actions. • Improve speed-to-lead and account prioritization through reliable signal-based orchestration. • Oversee cross-functional execution (and potentially people/vendors) • Coordinate stakeholders across Sales, Marketing, RevOps, Enablement, and Data/Engineering. • Manage project timelines, risks, dependencies, and stakeholder communication. • Potentially manage junior GTM Engineers and/or third-party partners with clear delivery standards.

• Design, develop, and maintain distributed systems and microservices (hands-on coding role) • Build, integrate, and evolve intelligent agents and AI-enabled services using LLMs and automation frameworks • Define and implement patterns for agent orchestration, system interaction, and decision workflows • Drive adoption of Infrastructure as Code, automation, and “controls-as-code” practices • Partner closely with systems engineers and ISSEs to embed requirements and security into platform design and code • Establish development standards for GitHub-based collaboration, testing, and documentation • Mentor mid-level engineers through code reviews, pairing, and technical guidance • Lead integration of CI/CD pipelines, security tooling, and ATO considerations into everyday development • Collaborate with stakeholders to translate mission and operational needs into scalable technical solutions • Contribute to an “everything as code” approach , expressing infrastructure, automation, agent behavior, workflows, and operational artifacts as version-controlled, testable code • Define and promote patterns for expressing intent, requirements, automation, and controls as code , enabling consistency, traceability, and automation across the development lifecycle