GTM Engineer

🕒 May 13

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

HiveMQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

💰 Venture Round - HiveMQ on 2025-01

SaaS • Enterprise • B2B

HiveMQ is a software company that provides an MQTT-based real-time data platform to stream, contextualize, govern, and act on operational telemetry from edge devices to enterprise systems. Its product portfolio includes a cloud-managed offering (HiveMQ Cloud), a self-managed MQTT broker, edge gateways, data hub and analytics tooling to enable always-on, mission-critical IoT and industrial workloads. HiveMQ primarily serves enterprise customers in manufacturing, energy, data centers, transportation and other industries, enabling B2B SaaS deployments that feed AI and analytics workflows with trusted, real-time data.

📋 Description

• Own the end-to-end inbound and PLG funnel infrastructure - from first product signal or form fill to the right next step - ensuring every lead is enriched, scored, and routed into the right GTM motion without manual triage. • Build automated paths for transactional and mid-market demand that don't require AE time: self-serve, low-touch sequences, and AI-assisted qualification that moves leads toward close independently. • Deploy agentic AI systems across marketing functions - research, lead qualification, personalized follow-up, meeting booking. • Design and operate lead qualification models that route leads to the right GTM motion based on first- and third-party signals, product usage, firmographics, behavioral data, and more. • Build pre-AE qualification and nurture infrastructure so leads that reach a rep are warm, educated, and ready - not raw inbound that eats selling time. • Build and maintain the orchestration layer across HubSpot, Salesforce, Clay, Default, Slack, G-suite, and more that connects demand to revenue at every segment. • Build agentic AI support layer across marketing and sales functions. • Deploy AI agents that do the research, qualification, and follow-up work that doesn't scale manually. • Define what the transactional path to close looks like at HiveMQ when an AE isn't the right answer.

🎯 Requirements

• 2–4 years of experience in GTM engineering, marketing operations, or revenue operations - with a track record of building systems, not just configuring them. • Hands-on experience with HubSpot and Salesforce as a CRM system of record. • Practical fluency with enrichment and automation tooling - Clay, Clearbit, Default, Hubspot, or comparable platforms. • Experience building or deploying AI agents or LLM-powered workflows (Claude Code, Codex, etc.) in a GTM or revenue context - not just prototypes, but trusted systems that run in production at scale. • Comfort with APIs, webhooks, and light scripting (Python or JavaScript) to build around vendor limitations when off-the-shelf output isn't good enough. • Comfort with large data sets used to inform GTM engineering and workflows in AWS, GBQ, etc. • Experience building lead qualification and routing logic - scoring, segment-based routing, SLA definition and enforcement. • A systems mindset: you think about edge cases, failure modes, and what happens at 10x volume before you ship. • The autonomy to move from concept to production in a remote environment without constant oversight.

🏖️ Benefits

• No manual processes with autonomous workflows. • Build enrichment pipelines that surface firmographic, technographic, and product context before the first human touchpoint - no manual research. • Partner with Marketing, Demand Gen, Sales, and GTM Ops to translate operational bottlenecks into engineered, automated solutions.