Sr AI Software Engineer, GTM Systems

ConstructConnect•Atlanta, GA

1d•Hybrid

About The Position

This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment. ConstructConnect is creating this role to centrally own and accelerate GTM AI engineering, operating GTM AI as a strategic company capability, not a side project. You will be the primary technical bridge between GTM, GTM Systems, Product/Development, and IT. You will own and execute against a single GTM AI roadmap, from idea to shipped, measured solutions. You will build LLM- and agent-powered workflows directly into Salesforce and adjacent GTM systems (Zuora, HubSpot, Planhat, Everstage, etc.). You will leverage tools like Glean agents in Salesforce and other LLM platforms to remove manual work and unlock new GTM capabilities. This is a highly visible, cross-functional role for a senior engineer who wants to ship production code that moves productivity, revenue, and customer experience metrics, not just prototypes.

Requirements

7+ years in software engineering or platform engineering roles building production systems (backend, application, or platform) with a meaningful Salesforce or GTM systems component.
Strong experience with Salesforce (Apex, Flows, platform integrations) or equivalent GTM engineering on tools like HubSpot, Gainsight, Planhat, or similar, with a willingness to go deep on Salesforce here.
Proficiency in at least one general-purpose programming language (e.g., Python, TypeScript/JavaScript, C#, or Java) and comfort working with REST/GraphQL APIs, webhooks, and event-driven patterns.
Demonstrated ability to design, build, and operate automations and data workflows that handle real production traffic and edge cases, not just prototypes.
Experience working cross-functionally with RevOps, Sales, CS, or Marketing partners to understand processes and ship solutions that stick.

Nice To Haves

Hands-on experience integrating with multiple GTM platforms, such as: Salesforce (core CRM, approvals, messaging, custom objects) Zuora (billing and subscription management) HubSpot and Chili Piper (inbound and routing) Planhat and/or Gainsight (customer success platforms) Everstage (compensation dashboards inside Salesforce) RingLead or other data quality tools
Practical experience with LLMs and agents (e.g., using Glean agents, building prompt/response workflows, or integrating with OpenAI/Claude-style APIs in production).
Familiarity with AI workflow and orchestration patterns (retrieval augmented generation, tools/agents, safety and guardrails, evaluation/monitoring).
Background in revops engineering, sales operations tech, or GTM analytics is a plus, but not required.

Responsibilities

Design, implement, and maintain AI- and automation-driven workflows in and around Salesforce (Apex, Flows, Platform Events) and other GTM platforms.
Embed LLM agents and automations into GTM user journeys (e.g., account research, quote creation, approvals, renewal workflows, lead routing, compensation insights).
Build backend services and integrations (Python, APIs, webhooks) that orchestrate data and context across Salesforce, Zuora, HubSpot, Planhat, Everstage, RingLead, and other GTM tools.
Translate business problems from GTM leaders into clear technical designs: data contracts, integration patterns, sequence diagrams, error handling, observability.
Implement secure, resilient integrations between our GTM stack and AI platforms (e.g., Glean, LLM APIs, internal services), following our security and governance patterns.
Standardize how we build GTM AI solutions: shared libraries, reusable flows, common telemetry, and documentation so others can extend your patterns.
Partner with GTM Systems and GTM leaders to prioritize engineering work: scope MVPs, estimate effort, and stack-rank ideas by impact vs. complexity.
Own initiatives from discovery POC pilot scale, including quality gates, performance, and technical readiness for broad rollout.
Ensure each initiative has clear owners, milestones, monitoring, and exit criteria before we call it “shipped.”
Build solutions that respect data minimization, permission models, and auditability across Salesforce and integrated GTM tools.
Collaborate with central AI governance, Security, and GTM Systems to align on guardrails, logging, and change management for AI powered workflows.
Instrument usage, latency, error rates, and business impact metrics for each solution so we can continuously tune and prove value.
Partner with Sales Enablement, Academy, and GTM Programs on rollout plans, training materials, and “how to use this” guides for new AI tools.
Help capture playbooks and success stories so GTM teams know what “good” looks like and how to adopt new workflows into their day to day.