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ProfitSolv · 1 month ago

GTM AI Engineer - Remote

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

ProfitSolv is a SaaS business services provider for the legal and accounting industry, seeking a GTM AI Engineer to join their team. The role focuses on designing and developing AI-powered tools to enhance go-to-market operations, improving efficiency and accuracy across various teams and systems.

Financial ServicesPayments

No H1B

Responsibilities

Partner with GTM leaders, RevOps, and Finance to analyze existing workflows, revenue motions, and forecasting processes to identify the highest-impact AI and automation opportunities

Translate business problems—such as forecasting accuracy, pipeline health, and deal cycle bottlenecks—into clear technical requirements, including data inputs, system touchpoints, and automation logic

Design workflow and system diagrams illustrating how AI models, orchestration tools, forecasting logic, and GTM systems interact end-to-end

Build and maintain automation workflows using orchestration tools such as n8n, Make, Zapier, or similar platforms

Design and develop LLM-based agents and copilots (e.g., Custom GPTs, internal chatbots, AI assistants) to support GTM functions with research, summarization, risk scoring, content generation, forecasting insights, and workflow execution

Implement retrieval-augmented generation (RAG) and integrate knowledge sources such as CRM data, call recordings, internal knowledge bases, and proposal libraries to ensure context-rich and accurate AI outputs

Integrate AI services and automations with CRM and other GTM systems using APIs, webhooks, and middleware, ensuring reliability and data integrity

Monitor and enhance AI systems through iterative prompt design, guardrails, evaluation frameworks, and error handling to improve performance and business impact

Build or support AI-driven forecasting and pipeline intelligence tools, including deal-risk models, next-best-action recommendations, forecast rollups, and scenario modeling

Collaborate with RevOps and Finance to align AI forecasting with existing methodologies while increasing consistency, accuracy, and visibility

Develop proactive alerts and insights that surface forecast changes, risk signals, and GTM performance trends to leadership teams

Partner with IT and Security teams to ensure all AI solutions adhere to security, compliance, data handling, and scalability standards

Partner with BI/Data teams to define data contracts, ensure strong data foundations for AI workflows, and align on instrumentation, measurement, and logging requirements

Implement observability and monitoring for AI systems, including usage analytics, latency and error tracking, quality metrics, and business KPIs

Collaborate with GTM Enablement and RevOps to plan and execute rollout and adoption strategies for AI tools, including pilots, feedback loops, and iterative enhancements

Create technical documentation, SOPs, and knowledge base materials to drive understanding, trust, and effective use of AI-powered workflows and forecasting tools

Gather user feedback, conduct experiments, and iterate quickly to improve usability, adoption, and business outcomes

Act as a technical partner to GTM leaders, RevOps, Finance, IT, Security, and BI/Data teams to support AI strategy and execution

Help prioritize AI initiatives based on forecast impact, revenue growth potential, efficiency gains, and time-to-value

Advocate for scalable patterns, reusable components, and common frameworks to accelerate future AI development across the GTM organization

Other duties as assigned

Qualification

AI Engineer experienceAutomation workflowsLLMsAI toolingAPI integrationsCRM system knowledgeAnalytical skillsCommunication skillsProblem-solving skillsCollaboration skillsTechnical documentation

Required

3–5+ years of experience in roles such as AI Engineer, Machine Learning Engineer, Automation Engineer, Business Systems Engineer, or GTM/RevOps role with a strong technical/automation focus

Proven experience building automation workflows in tools such as n8n, Make, Zapier, or similar orchestration platforms

Hands-on experience with LLMs and AI tooling (e.g., OpenAI / Azure OpenAI, custom GPT development, or other agent frameworks)

Working knowledge of APIs, JSON, and webhook integrations; able to design and troubleshoot integrations across multiple GTM systems

Understanding of CRM/Revenue system architecture (e.g., Salesforce, HubSpot, Dynamics) and typical GTM system integrations

Experience partnering with IT and Security teams on identity, data access, and system governance

Strong analytical and problem-solving skills; able to convert ambiguous GTM and forecasting problems into structured technical solutions

Excellent communication skills; able to explain technical concepts to non-technical stakeholders and gather requirements effectively

Comfortable balancing quick, iterative experiments with designing robust, scalable production solutions

Preferred

Experience building AI copilots or agents for GTM teams (e.g., deal support, call summarization, outbound messaging, proposal/RFP assistance, forecast review copilots)

Familiarity with vector databases and retrieval systems

Basic SQL for querying and validating GTM data

Logging, evaluation, and monitoring of LLM-based systems

Background in RevOps transformation, process redesign, or operational change management in a SaaS or high-velocity GTM environment

Experience with revenue forecasting, pipeline analytics, or sales performance analytics

Ability to sit for extended periods and work on a computer

Must be able to lift up to 15 pounds occasionally

Ability to travel as required