GTM Engineer
The GTM Engineer is responsible for building internal systems that power how the company identifies demand, engages buying groups, accelerates deals, and scales revenue. This includes designing and shipping signal infrastructure, agent workflows, and orchestration tooling that convert GTM data into automated actions such as account intelligence, buying-stage detection, SDR alerts, personalization, and deal acceleration. Specific tasks include building GTM signal infrastructure to score ICP fit, map buying committees, and track engagement across accounts; capturing intent and engagement signals at scale; detecting buying stages and deal health; orchestrating automated GTM actions based on live engagement signals; building internal tooling and agent workflows to automate manual GTM workflows; partnering with marketing, sales, and revenue operations to translate GTM strategy into scalable automation systems; and maintaining data quality and governance across GTM systems.
Solutions Architect (Dallas)
The Solutions Architect is responsible for designing scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, security, enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines. They design multi-agent systems using various patterns, implement agent logic using modern frameworks (langchain/langgraph), design evaluation frameworks, optimize prompts with A/B testing, and guide deployment and operations. The role involves leading technical maturity assessments, working directly with enterprise customers to understand requirements and present recommendations, and partnering with Engagement Managers and Product/Engineering teams.
Solutions Architect (Austin)
The Solutions Architect is responsible for designing, deploying, and optimizing production-grade AI infrastructure and agent systems, including scalable, secure infrastructure deployments and building reliable agent applications. Responsibilities include infrastructure and platform engineering such as designing scalable and highly available infrastructure for AI platform deployments with compute, storage, networking, security, and enterprise integration patterns. They utilize Infrastructure as Code tools like Terraform and Helm and implement multi-region high availability and disaster recovery strategies as well as CI/CD pipelines. The role also covers agent engineering and development including designing multi-agent systems using various patterns, implementing agent logic using frameworks such as LangChain and LangGraph, designing evaluation frameworks, optimizing prompts with A/B testing, and guiding deployment and operations. Additionally, the role involves customer engagement and assessment, leading technical maturity assessments, working directly with enterprise customers to understand requirements, presenting recommendations, and partnering with Engagement Managers and Product/Engineering teams.
Solutions Architect (NYC)
The Solutions Architect is responsible for designing scalable, highly-available infrastructure for AI platform deployments including compute, storage, networking, security, enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines. They design multi-agent systems using different patterns, implement agent logic using modern frameworks such as langchain/langgraph, design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment and operations. They lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams.
Enterprise Account Executive (New York City)
Debug and fix issues in the platform and ship PRs with fixes. Build internal tools and copilots powered by generative AI to enhance team capabilities. Rapidly prototype proof-of-concepts for customer use cases. Work collaboratively across Engineering, Product, and Solutions teams to unblock customers and advance AI adoption.
Associate Forward Deployed Engineer
As an Associate Forward Deployed Engineer, the responsibilities include working alongside senior engineers and directly with customers, who are leading AI labs, to solve pressing technical challenges. The role involves supporting the design and deployment of solutions that impact customer workflows and model performance, working across the stack, shipping quickly, and iterating based on real-world feedback. Tasks include partnering with AI labs and internal teams to identify needs and gather requirements, supporting solution design, working on custom asks from customers to prototype and deploy tailored solutions, tackling complex technical problems with support from senior engineers, taking increasing ownership from concept through deployment, rapidly prototyping, testing, and iterating on tools in response to real-time feedback, contributing to architectural discussions, helping establish best practices for reliability, scalability, and security, and documenting solutions to create technical playbooks for repeatable and scalable deployment processes.
Full Stack Engineer - AI-Driven Development
The Full Stack Engineer is responsible for configuring and developing "skills" for foundation models such as Claude and Gemini to automate content generation, marketing flows, and business processes. They develop and scale applications within the JavaScript/TypeScript ecosystem using React, integrating AI agents and automation. They create automated content generation systems for various platforms including Substack, blogs, social media, and personalized email marketing. They design and implement sophisticated workflow automations using platforms like Make.com or n8n to bridge data between systems such as EHR tools like Cerbo. The role includes managing PostgreSQL databases (Neon/AWS) and deployment within a Linux/Bash-heavy environment. Additionally, they help implement and refine voice AI solutions for call overflows and appointment scheduling, for example via GoHighLevel integrations. They manage and deploy applications on AWS (EC2) focusing on security and HIPAA compliance, configure and implement AI skills across various foundation models, collaborate with AI automation experts to design scalable efficient solutions, and establish coding standards and best practices for AI-driven development.
Forward Deployed Engineer
The Forward Deployed Engineer is responsible for working closely with customers from onboarding through ongoing usage to help integrate and optimize AI solutions. They build new features, MVPs, and scalable solutions that impact customer outcomes, utilizing full-stack development skills in React, TypeScript, Node.js, and Python. They design, implement, and iterate on AI/ML applications including LLM prompting, tuning of voices, and transcribers. The role includes managing APIs and integrations with third-party systems to ensure seamless customer functionality. Collaboration with Product, Engineering, and Customer Success teams is essential to deliver tailored solutions. The engineer is expected to continuously iterate and improve AI solutions based on customer feedback and evolving requirements, while prioritizing and managing multiple projects under tight deadlines and maintaining high-quality results.
Senior Engineer, Internal tools
The Senior Engineer on the internal tools team is responsible for building and maintaining internal platforms and tools used by various departments such as People, Finance, Ops, Sales, and Engineering. The role involves owning features end-to-end, including requirements gathering, architecture, implementation, testing, deployment, and monitoring. The engineer is expected to write clean, well-tested, production-grade code and build API-first integrations to connect multiple business systems like HRIS, CRM, finance platforms, and developer tools. Responsibilities include designing for reliability, performance, and scalability, eliminating data silos by creating clean data pipelines, and owning services in production with monitoring, alerting, incident response, and post-mortems. The role also involves building AI/LLM-powered features to automate internal workflows, moving prototypes to production, and staying updated on emerging AI technologies. Collaboration includes working directly with business stakeholders to translate pain points into technical solutions, mentoring junior engineers, conducting code and design reviews, influencing technical direction, proposing architectural improvements, and driving best practices across the team.
Senior/Staff Software Engineer, Developer Tools and Productivity
Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking. Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles. Integrate AI models to automate manual tasks. Work together with AI researchers, robot operators, and annotators to support new user experiences.
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