• Optimize and integrate the GTM workflows across tech stack including HubSpot, Clay, n8n, Zapier, Claude, and related data/automation/platform tools including MixPanel, Impartner and more. • Ensure consistency of data structure, hygiene and architecture across GTM tools and systems, supporting GTM scale • Design and implement scalable AI-driven workflows for lead enrichment, routing, scoring, and customer engagement across Marketing, SDR, Sales, and Partners. • Build dashboards and attribution models to provide real-time visibility into pipeline health, campaign performance, and revenue impact. • Integrate AI and automation across GTM operations to improve segmentation, personalization, and efficiency at scale. • Partner with Demand Gen, Web, SDR, and Partner teams to operationalize campaigns and automate repeatable processes end-to-end. • Ensure clean, synchronized data across HubSpot, Sales, and Partner systems, with a focus on data quality and governance. • Drive CRO initiatives: design, execute, and analyze experiments to improve funnel performance and conversion rates. • Evaluate and pilot new AI, RevOps, and automation technologies (e.g. Clay, n8n, Claude Cowork, and emerging GTM tools) to stay ahead of the curve.

Role Description We're looking for a highly technical GTM Engineer to architect and scale the systems, data infrastructure, automations, and AI capabilities that power Privy's go-to-market organization. This role sits at the intersection of Revenue Operations, Data Engineering, AI, and Business Systems, owning the technology stack that supports Sales, Marketing, Customer Success, and Revenue Leadership. You'll be responsible for building and optimizing the workflows, integrations, data models, automations, AI agents, and operational frameworks that drive pipeline growth, improve GTM productivity, and unlock actionable revenue insights. This is a hands-on builder role for someone who thrives on solving complex business problems through systems design, data, and AI. What You'll Do - Own and Scale the GTM Technology Stack - Serve as the technical owner of Privy's GTM systems, with Salesforce and Snowflake as core platforms. - Design, build, and maintain integrations across the revenue stack, including marketing automation, sales engagement, enrichment, customer data, analytics, and AI tooling. - Create scalable architectures that ensure clean data flow across systems and provide a single source of truth for revenue reporting. - Partner with Sales, Marketing, Customer Success, Finance, and Product teams to improve operational efficiency and business visibility. - Build and Scale an AI-Powered Revenue Engine - Evaluate, implement, and operationalize AI-powered GTM tools across the revenue stack, including prospecting assistants, AI SDR tools, conversation intelligence, pipeline analytics, enrichment, and marketing automation. - Partner with Sales and Marketing leaders to identify opportunities where AI can accelerate pipeline generation, improve conversion rates, and reduce manual operational work. - Design and implement AI-driven workflows and automations that enhance lead routing, enrichment, forecasting, territory management, and campaign performance insights. - Collaborate with Marketing to incorporate AI into email marketing, lifecycle campaigns, content generation, segmentation, and personalization strategies. - Build internal frameworks and best practices that enable teams to safely and effectively adopt AI tools while maintaining strong governance, security, data quality, and measurable ROI. - Continuously evaluate, test, and deploy emerging AI capabilities that strengthen Privy's revenue intelligence and GTM efficiency. - Build Agents, Skills, and Intelligent Automation - Design, build, and maintain AI agents and skills that automate internal GTM workflows and improve team productivity. - Develop agent-driven processes for prospect research, lead qualification, enrichment, account planning, forecasting support, campaign execution, and customer intelligence. - Partner with business stakeholders to identify repetitive workflows that can be automated through AI agents and orchestration frameworks. - Establish standards, monitoring, and governance for AI agent performance, reliability, and business impact. - Data, Reporting, and Revenue Intelligence - Build and maintain Snowflake-based data models that support GTM analytics, attribution, forecasting, and executive reporting. - Develop dashboards, reporting frameworks, and revenue intelligence tools that provide actionable insights to leadership. - Create scalable processes for data quality, enrichment, routing, and governance across the customer lifecycle. - Deliver analyses that identify bottlenecks, improve conversion rates, and drive revenue growth. Qualifications - 5+ years of experience in GTM Engineering, Revenue Operations, Sales Operations, Marketing Operations, Business Systems, Data Engineering, or a similar technical GTM role. - Expert-level Salesforce administration, architecture, automation, and integration experience. - Strong hands-on Snowflake experience, including data modeling, SQL development, ETL workflows, and analytics. - Experience building, deploying, and managing AI agents, AI workflows, skills, copilots, or agentic automation systems. - Experience evaluating and implementing AI-powered GTM tools and platforms. - Strong SQL skills and experience working with large-scale business datasets. - Proven ability to design and maintain complex integrations between business systems and data platforms. - Experience with modern RevOps and MarTech tooling, including enrichment, marketing automation, sales engagement, attribution, and analytics platforms. - Strong systems-thinking mindset with the ability to translate business requirements into scalable technical solutions. - Exceptional communication skills and ability to partner cross-functionally with executive stakeholders. Nice to Have - Experience in SaaS, ecommerce technology, or PLG businesses. - Experience with LLM application development, prompt engineering, retrieval systems, MCPs, agent frameworks, or AI orchestration platforms. - Experience with Python, APIs, dbt, reverse ETL tools, or modern data stack technologies. - Experience building internal AI products or revenue intelligence platforms.

• Provide technical leadership for the ServiceNow development team • Develop and enhance applications on the ServiceNow platform • Design and maintain workflows and automations using Flow Designer • Develop APIs and integrations with internal and external systems • Implement customizations and improvements in ITSM modules • Handle incident resolution and provide ongoing support for existing solutions • Ensure the technical quality of deliveries and adherence to platform best practices • Support the team in resolving complex problems and in defining technical solutions • Participate in architectural discussions and propose continuous improvements to processes and applications • Review code and technical documentation, and support knowledge sharing within the team.

Role Description As a Senior Software Developer at Auvik, you’ll be part of an agile team of coders, developing a network management service that monitors millions of devices, while solving big challenges for our customers. Drawing on your love of developing creative solutions, your can-do attitude, and your drive to do great work, you’ll help Auvik continue to build software our customers can rely on. The industry is shifting towards cloud-based systems and distributed work environments. We need senior software developers like yourself to level up on our product offerings. In this role, you will: - Focus on designing architectures for microservices that are consistent, scalable, high quality and tolerant to faults and failures. - Deploy and manage containerized applications using Kubernetes orchestration. - Design and implement protocols for communication in a highly scalable, distributed system. - Develop reliable and performant code for our collector deployed at tens of thousands of customer sites. - Help expand the depth and breadth of our solution based on your deep knowledge of networking devices and protocols. - Collaborate with engineering and product management to deliver software components to meet the needs of our customers. - Apply AI-enabled techniques to solve complex engineering problems, using intelligent tooling, automation, and data-informed debugging to build scalable systems, improve reliability, and accelerate delivery across the stack. Qualifications - Several years of experience developing quality code and architectures preferably using Golang. - Background in designing and developing microservices. - Knowledge of cloud computing, preferably AWS. - Adept in building reliable, highly available, and scalable software on top of the Kafka streaming platform. - A deeply technical, hands-on engineer who uses AI pragmatically to solve hard problems, writes high-quality production code, debugs across distributed systems, and elevates team output through strong system design and engineering rigor. - Proficiency in agile methodologies such as scrum. - Deep understanding of CI/CD pipeline to test and deploy. - Passion for mentoring and guiding junior and intermediate team members. - Enthusiasm towards researching new technologies and making recommendations based on experiences and findings. - Accountability towards following processes and making suggestions for improvements. - Desire to collaboratively create elegant, scalable, modern code that evolves our products. - Strong communication skills (written and verbal) to work collaboratively with the immediate team and the larger organization. Requirements - React - GraphQL - Scala - Go - C++ - Kubernetes - Kafka Benefits - Comprehensive health and dental benefits plan. - Wellness spending account. - GRSP matching program. - Flexible paid time off. - Paid parental leave program. - Remote working subsidies. Company Description Auvik delivers cloud-based network management software that gives IT teams instant visibility and control over their infrastructure — whether on-site, remote, or dispersed across global networks. Our platform automates network discovery, mapping, monitoring, configuration backups, traffic analysis and alerting, so IT professionals and MSPs can manage complex, multi-site environments with ease.