• Design, build, and optimize multi-channel outbound sequences using Clay-based enrichment workflows and n8n automation pipelines, connecting firmographic signals, technographic data, and intent sources to personalized outreach at scale. • Build and maintain prospect lists and enriched account profiles that give BDRs and AEs the context they need for relevant first conversations: not generic outreach. • Own the signal-based selling infrastructure that detects buying triggers (technographic changes, competitive displacement events, expansion indicators) and routes the right signal to the right rep at the right time. • Build and manage automated nudge sequences for stalled transactional deals, detecting inertia from CRM stage duration and engagement data, and triggering follow-ups without requiring AE manual tracking. • Own CRM health: automated deduplication routines, data validation at point of entry, integration monitoring between the CRM and connected tools, and periodic audits that catch data decay before it degrades pipeline reporting. • Build upsell signal detection and churn risk systems for the CS team: flagging expansion triggers, declining usage, champion departure, and billing anomalies, then connecting those signals to automated outreach workflows. • Evaluate, integrate, and manage the AI-powered GTM tooling stack, separating what actually compounds our advantage from what generates noise.

• Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions • Documents, reviews and ensures that all quality and change control standards are met • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases • Works with vendors and partners for the successful implementation of critical tooling and platforms • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively • Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment • Evaluates new technologies for adoption across the enterprise • Participates in and leads review board sessions to drive consistency across the enterprise • Fields questions from engineers, product teams, or support teams • Monitors tools and participates in conversations to encourage collaboration across product teams • Provides application support for software running in production • Acts as a technical escalation point for the engineers on the team • Provides leadership, mentoring, and coaching to Software Engineers • Attracts, retains, and develops top talent to build a world class Software Engineering Team • Conducts annual and mid-year reviews by reviewing individual development plans and team feedback • Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests • Acts as a proponent of modern software development practices • Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams • Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) • Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations • Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

• Assists in developing, testing, deploying, and maintaining software. • Follows best practices established by the organization and participates in improvement conversations. • Consistently helps the team achieve results, even under tough circumstances. • Learns through successful and failed experiment when tackling new problems. • Actively seeks ways to grow and be challenged using both formal and informal development channels. • Builds partnerships and works collaboratively with others to meet shared objectives. • Collaborates with other team members in agile processes. • Relates openly and comfortably with diverse groups of people.

• Design, develop, test, and deploy scalable backend applications, APIs, and microservices • Build and integrate AI-enabled capabilities, including machine learning models, LLM integrations, and data-driven services • Participate in architecture and design discussions to ensure scalability, security, and performance • Develop cloud-native and containerized applications using Docker and Kubernetes • Integrate data pipelines, AI services, and backend systems into production environments • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders • Develop and maintain technical documentation including system architecture and API specifications • Maintain code repositories using modern version control and CI/CD pipelines • Apply secure coding practices and support DevSecOps workflows • Monitor and troubleshoot applications using logging and observability tools