**AI Agent Architecture & Engineering** - Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling - Develop scalable backend systems using Python, JavaScript, or TypeScript - Architect integrations across CRMs, APIs, data sources, and outreach platforms - Build reusable agent frameworks, templates, and SDK-like components for rapid deployment **Team Leadership & Engineering Culture** - Lead and scale a distributed team of engineers (including offshore talent) - Establish best practices for version control, testing, documentation, and deployment - Mentor automation-focused engineers into AI-agent and software engineering roles - Own hiring, onboarding, and performance management **Platform Development & Innovation** - Drive the shift from no-code workflows to code-first AI systems - Evaluate emerging AI tools, LLM capabilities, and automation frameworks - Contribute to internal AI tooling and reusable automation libraries - Prototype and validate new automation opportunities quickly **Systems Reliability & Performance** - Ensure system reliability through monitoring, logging, and error handling - Optimize infrastructure for cost, performance, and scalability - Build observability systems to proactively detect and resolve issues

Role Description AspenView Technology Partners is recruiting a GTM Engineer for a fast-growing Managed Service Provider specializing in Go-To-Market systems. You will be embedded directly with client accounts, owning end-to-end design, implementation, and optimization of GTM and Revenue Operations infrastructure. This is a high-impact, client-facing role at the intersection of strategy and execution — building AI-native, automated systems that drive real pipeline results. The role begins as a contract engagement (3–6 months) with a clear path to full-time conversion for top performers. - Architect and manage end-to-end GTM automation workflows using no-code/low-code platforms (Clay, Make.com, n8n, Apify), covering lead enrichment, intent-signal routing, ICP scoring, and multi-channel sequencing. - Integrate AI-powered components via API — including LLMs (OpenAI, Anthropic, Gemini), voice AI, and custom ML models — to enable personalized outreach, predictive scoring, and real-time lead qualification. - Build and maintain data acquisition pipelines (web scraping, waterfall enrichment, signal aggregation) in compliance with GDPR and CCPA standards. - Connect GTM workflows to CRM platforms (Salesforce, HubSpot), marketing automation tools (Marketo, ActiveCampaign), and outbound tools (Outreach, Salesloft, Apollo) via REST and GraphQL APIs. - Diagnose, optimize, and scale high-volume automation infrastructure, managing error handling, retry logic, and uptime SLAs in live environments. - Run discovery and scoping sessions with client stakeholders (founders, VPs of Sales, RevOps leads, CMOs) and deliver clear architecture documentation, runbooks, and training guides. - Define and track performance metrics per engagement: time saved, reply rates, pipeline velocity, MQL-to-SQL conversion, and cost-per-opportunity. - Run structured A/B tests on outreach copy, sequencing logic, and enrichment flows to continuously improve performance. Qualifications - 3+ years in GTM Engineering, RevOps, Sales/Marketing Automation, Technical Consulting, or a closely related role at a high-growth startup, agency, or consulting firm. - Demonstrated experience delivering automation projects in a client-facing or professional services context — managing scope, timelines, and stakeholders. - Deep, hands-on expertise in Clay, Make.com, n8n, and/or Apify — able to build complex multi-step workflows from scratch. - Strong API fluency: reading documentation, authenticating, testing endpoints, and building reliable REST and GraphQL integrations. - Working proficiency in Python and/or JavaScript to write custom functions, transform data, and extend no-code platforms. - Familiarity with LLM API usage (OpenAI, Anthropic, etc.) and prompt engineering for practical GTM applications. - Excellent communicator — able to explain technical work clearly to non-technical stakeholders without hiding behind jargon. - Highly autonomous and self-directed, capable of managing multiple client engagements without constant oversight. Nice if you have - Experience with AI agent frameworks or orchestration tools (LangChain, CrewAI, n8n agents, Clay AI columns). - Background in cloud infrastructure (AWS/GCP/Azure), containerization (Docker), or data warehousing (Snowflake, BigQuery). - Track record of building systems that moved a measurable metric: pipeline generated, time saved, or conversion rates improved. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

• Design, build, and maintain services for the Cadence platform. • Improve engineering standards, tooling, and processes on a rapidly growing team. • Collaborate with product owners, internal stakeholders, and customers to determine the right solutions for our product. • Work with other engineers throughout our 6-week delivery cycle process to ship well-designed and architected features.

• Analyze and resolve basic production issues following department guidelines and troubleshooting practices • Provide Level I development and application support • Develop individual modules or components in a larger system architecture • Modify and/or enhance existing components of a small scale with guidance from a supervisor or senior engineer • Perform unit test planning and execution for own code • Execute integration testing within project scope • Design individual modules or components of limited scope in larger system designs • Collaborate on AI-assisted software development tasks, leveraging Generative AI tools to improve coding efficiency, generate test cases, or assist in documentation • Support small-scale proof-of-concept projects involving GenAI APIs, prompt engineering, or AI-driven automation within the software stack • Participate in continuous learning initiatives related to AI technologies, including model APIs, embeddings, and responsible AI use