GTM Applications Engineer

Lansweeper; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Meal vouchers

Vacation payout

Pension plan

Hybrid work

Job summary

Lansweeper seeks a GTM Applications Engineer (AI Agents & Integrations) to own the technical layer connecting our GTM application stack and automate end-to-end processes. You’ll prototype and deploy AI agents, build data pipelines, and reduce admin overhead with AI-driven workflows.

Based in Austin, TX or Belgium, you’ll collaborate with GTM Ops, Sales, and Customer Success to translate process needs into scalable, production-ready AI solutions. Requires hands-on AI agent experience.

Qualifications

• 2–4 years in a technical applications, systems administration, or integrations role within corporate environments.
• Hands-on experience building with AI agents or AI-assisted tooling and production deployments.
• Practical prompt engineering skills for reliable production outputs.
• Experience with integration/orchestration platforms such as Workato or Zapier.
• Experience deploying AI agents on LangChain, Claude managed agents, Salesforce Agentforce, or similar.

Responsibilities

• Own configuration, administration, and troubleshooting for the GTM application stack.
• Build and maintain integrations and data pipelines between GTM apps and Salesforce.
• Identify GTM processes for AI/automation to reduce admin burden and consolidate tooling.
• Design, build, and deploy AI agents across the stack using multiple platforms.
• Monitor observability, track production behavior, and iterate based on usage.
• Create human-in-the-loop checkpoints and fallback paths.
• Provide technical guidance across GTM systems projects as a senior AI integration voice.
• Take on Salesforce admin tasks alongside the Salesforce team.
• Evaluate and onboard new AI tools as the stack evolves.
• Partner with GTM Ops, Sales, and Customer Success to translate needs into scalable AI solutions.

Skills

AI agents

Prompts engineering

Integration tooling

Observability

GTM stack knowledge

Self-directed

Tools

Workato

Zapier

LangChain

Claude managed agents

Salesforce Agentforce

n8n

Job description

Context & Impact

This is a backfill role within Lansweeper's Revenue Operations team, built for someone who wants to spend meaningful time designing and building AI agents — not just maintaining systems. As a GTM Applications Engineer (AI Agents & Integrations), you'll own the technical layer connecting our go-to-market application stack while actively identifying where AI can eliminate admin overhead, consolidate tooling, and automate GTM processes end-to-end. In this version of the role, you won't wait to be told where AI fits — you'll proactively find it, prototype it, and build it. The stack is your canvas; agents and skills are how you leave your mark.

Challenge

The main challenges you'll face are:

• Breadth across platforms — the GTM stack spans Gainsight, Gong, ZoomInfo, ZoomPhone, DocuSign, Salesforce, and more. You'll need to stay technically sharp and agile across all of them, adapting quickly as each platform evolves.
• Agentic work at the frontier. Building and orchestrating AI agents, whether in Workato, LangChain, Claude managed agents, or Salesforce Agentforce, is still emerging practice. You'll be working without a full playbook, which requires comfort with ambiguity and a bias for experimentation.
• Self-directed identification of AI opportunities — rather than waiting for direction, you'll be expected to surface process gaps, evaluate their AI-fit, and propose solutions. That requires both technical fluency and strong GTM process understanding.

Key Responsibilities

• Own configuration, administration, and troubleshooting for the GTM application stack.
• Build and maintain integrations and data pipelines between GTM applications and Salesforce (e.g., Snowflake to Gainsight).
• Proactively identify GTM process areas where AI agents, automation, or AI-assisted workflows can reduce admin burden, consolidate tooling, or improve data quality.
• Design, build, and deploy AI agents across the stack, using whichever platform fits the job (Workato, LangChain, Claude managed agents, Salesforce Agentforce, or equivalent), from scoping and prompt engineering through orchestration and into production.
• Monitor observability for deployed agents. Track what they do in production, catch failures or drift early, and iterate based on real usage.
• Build human-in-the-loop checkpoints for agentic workflows. Decide where an agent should elevate to a person instead of acting on its own, and design that approval or fallback path.
• Provide technical guidance and drive improvements across GTM systems projects, becoming the senior technical voice for AI integration within the stack.
• Take on lighter Salesforce administration and configuration tasks (fields, flows, permissions) alongside the Salesforce team.
• Evaluate and onboard new AI tools and GTM applications as the stack evolves, staying ahead of what's available and what's production-ready.
• Partner with GTM Ops, Sales, and Customer Success stakeholders to translate process needs into scalable, AI-augmented technical solutions.

Key Requirements

Hard skills:

• 2–4 years in a technical applications, systems administration, or integrations role within Corporate environments
• Hands-on experience building with AI agents or AI-assisted tooling — production deployments, internal pilots, or substantive personal projects.
• Practical prompt engineering skills — able to design, test, and iterate prompts within AI platforms to produce reliable, production-grade outputs.
• Hands-on experience with integration/orchestration platforms such as Workato, Zapier, or similar. Most agent orchestration in this role runs through here.
• Hands-on experience building and deploying AI agents on any agentic platform (examples: LangChain, Claude managed agents, Salesforce Agentforce, n8n). The platform matters less than a track record of shipping working agents.
• Basic fluency in agent observability (logging, monitoring, evaluating output quality) and in designing human-in-the-loop controls.
• Strong troubleshooting instincts across integration, data-sync, and AI workflow issues.

Soft Skills

• Self-directed and proactive — identifies problems and improvement opportunities without needing to be pointed at them.
• Platform agility — comfortable context-switching across many tools and adapting as each evolves.
• Structured communicator — translates technical AI concepts into business outcomes for GTM and leadership stakeholders.

AI Specific Skills

Lansweeper is an AI-native company. AI is central here, not a side project. You'll design and deploy AI agents on whichever platform fits the job (Workato, LangChain, Claude managed agents, Salesforce Agentforce, and others), with real fluency in agent orchestration, observability, and human-in-the-loop design. Prompt engineering stays core: you'll craft, test, and refine prompts in production contexts where reliability matters. Beyond building, you'll stay current on how AI tooling is evolving and bring forward-looking recommendations to the team. What we care about is shipped, working agents, not loyalty to any one vendor.

Team Info

You'll join the GTM Systems team within Revenue Operations, working closely with Senior Salesforce Admins, GTM Operations, Sales, and Customer Success stakeholders.

Team size: 5, based across Austin, TX and Ghent, Belgium.

Our Offer - we are hiring in Austin or Belgium

Belgium

Salary: €54,810 – €89,067 gross per year (Belgium, based on full-time employment)

• Meal vouchers (€10/day), ecocheques (€250/year), vacation payout in June, and a 13th month in December.
• Time off — 20 days holiday + 12 ADV days + 12 public holidays.
• Health & protection — Full hospitalisation and outpatient insurance, life insurance, disability coverage, and mental health support.
• Pension — Employer-paid pension plan included.
• Work setup — Hybrid working with full telework equipment and a monthly home working allowance.
• Extra — Flexible Income Plan to shape part of your package once a year. Company car or mobility budget included from a certain level.

About Lansweeper

Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.

In today's complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth — so teams can move faster and act with certainty.

With Lansweeper, Organizations Can

• See – Truly complete visibility across hybrid environments
• Know – Enriched asset intelligence with lifecycle and risk context
• Act – Automate workflows, coordinate remediation, and enforce policy at scale

Our Culture — We're Built On Four Core Values

• One Team – United across boundaries
• We Care – Customers and people at the center
• We Grow – Learning, sharing, improving
• We Deliver – Focusing on what truly matters

Pay Transparency

At Lansweeper, every role is assigned to a level defined by three things: the expertise it requires, the complexity it involves, and the scope of impact it carries.

Each level maps to a salary band based on salary benchmarks from the Software/SaaS industry of your country, so your pay reflects what the market pays for comparable roles.

AI Usage During Hiring Process

We use AI to support and not replace during the hiring process. HR decisions are made by our talent acquisition team. You can request more info at any time via [email protected]

Diversity Statement

It is Lansweeper's policy to provide equal employment opportunity to all applicants and employees.

Lansweeper disapproves of, and will not tolerate, unlawful discrimination against any applicant or employee because of race, color, national origin or ancestry, gender (including pregnancy, childbirth, or related medical conditions), gender identity, age, religion, disability, family care status, veteran status, marital status, sexual orientation, or any other basis protected by local, state, or federal laws.