• Lead technical initiatives and tackle complex engineering challenges • Provide mentorship to the team • Manage the full software development lifecycle (SDLC) • Contribute to architectural decisions • Collaborate with cross-functional teams to drive project success

• Develop and implement full-stack features with a focus on frontend user experiences • Collaborate with team members to deliver high-quality product experiences • Analyze and improve product success metrics and workflows for user satisfaction

About Nooks.ai : Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and hundreds more. We’re a team of high performers raising over $70M from top VCs, including Kleiner Perkins, which made its first sales-tech investment in over 10 years by investing in Nooks. Over the past two years, we’ve grown ARR by 4x and then 3x, and we plan to 3x it again this year. For more information, visit Nooks.ai . The role As our first GTM Engineer you’ll serve as the technical co-pilot for our Sales Development organization — owning setup, optimization, and enablement within the Nooks platform. You’ll translate new product releases into scalable SDR workflows and playbooks for both our internal team and external customers. Focused on driving pipeline generation efficiency, you’ll report directly to the Head of Sales Development while partnering closely with Product, Engineering, RevOps, and Enablement. This role is ideal for someone who has grown up in a high-performing sales development environment, brings strong technical fluency, and thrives on creative problem-solving. You’ll design, build, and enable teams on how to maximize our tech stack to accelerate pipeline velocity and improve efficiency. This is a high-impact, highly visible opportunity for someone who loves building systems, driving operational rigor, and directly influencing revenue outcomes in a fast-paced startup environment. Responsibilities Partner cross-functionally with Engineering and Product to stay ahead of new features and roadmap updates, translating insights into actionable enablement for the Sales Development team Set up new features, products and playbooks within the Nooks platform to ensure improved efficiency within the sales teams + build best in class process for our customers Utilize analytics and data to report on improved efficiencies and impact to increased pipe generation across the GTM function Provide product feedback and ideas to our product/engineering team on an ongoing basis to help contribute to the vision and value of Nooks for our customers Partner with sales enablement to put together new playbooks and enablement content on how best to utilize all connecting technology in the GTM org Identify and resolve process bottlenecks, data issues and inconsistencies in process, systems and strategy Requirements

• Design and build core platform primitives including provider abstraction layers (OpenAI, Anthropic, Google), structured output validation, streaming infrastructure, and token management systems • Own safety and compliance infrastructure including composable guardrail systems, PII detection/redaction, audit logging, and privacy-first observability that never leaks sensitive data to third parties • Build evaluation infrastructure that enables systematic quality measurement for non-deterministic LLM outputs—datasets, scorers (exact match, LLM-as-judge, schema validation), CI/CD integration, and regression detection • Lead churn containment strategy—design provider adapters and SDK architecture that absorbs rapidly-changing LLM provider SDKs without breaking consuming applications • Architect prompt lifecycle management systems including version control, Langfuse integration, GitHub-based review workflows, and deployment pipelines • Design Agent-as-a-Service infrastructure for long-running async tasks using AWS EventBridge, DynamoDB, and PostgreSQL • Collaborate with consuming teams to understand their needs, onboard them to the platform, and provide technical support • Influence architecture, technology selections, and engineering standards across the broader organization • Create reference implementations and technical documentation that enables other engineers to successfully adopt the platform • Champion quality engineering practices including comprehensive testing, type safety, and observability