GTM AI Applications Engineer

Lansweeper NV; Gent; Hybride; EUR 55 000 - 89 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Ecocheques

Vacation payout in June

13th month

Résumé du poste

Lansweeper is seeking an experienced GTM AI Applications Engineer to own the technical layer connecting our go-to-market application stack and to proactively identify AI opportunities. You will work across Gainsight, Gong, ZoomInfo, Salesforce, and more to design, deploy, and monitor AI agents and data pipelines, improving efficiency and data quality.

You will collaborate with GTM Ops, Sales, and Customer Success, and contribute to shaping a scalable AI-enabled GTM stack within a hybrid

Qualifications

• 2–4 years in a technical applications, systems administration, or integrations role within a SaaS environment.
• Hands-on experience building with AI agents or AI-assisted tooling — production deployments, internal pilots, or substantive personal projects.
• Practical prompt engineering skills — design, test, and iterate prompts within AI platforms for production-grade outputs.
• Hands-on experience with integration/orchestration platforms such as Workato, Zapier, or similar.
• Hands-on experience building and deploying AI agents on agentic platforms (LangChain, Claude managed agents, Salesforce Agentforce, n8n).
• 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.

Responsabilités

• Own configuration, administration, and troubleshooting for the GTM application stack.
• Build and maintain integrations and data pipelines between GTM apps and Salesforce.
• Proactively identify GTM process areas where AI agents or automation can reduce admin burden.
• Design, build, and deploy AI agents across the stack using suitable platforms.
• Monitor observability for deployed agents and iterate based on usage and failures.
• Build human-in-the-loop checkpoints and escalation paths for agentic workflows.
• Provide technical guidance and drive improvements across GTM systems projects.
• Take on lighter Salesforce administration tasks alongside the Salesforce team.
• Evaluate and onboard new AI tools and GTM apps as stack evolves.
• Partner with GTM Ops, Sales, and Customer Success to translate needs into scalable AI-augmented solutions.

Connaissances

AI agents

Prompt engineering

SaaS integrations

Workato

Zapier

LangChain

Observability

Troubleshooting

Self‑directed

Outils

Salesforce

Gainsight

Snowflake

n8n

Claude

Description du poste

GTM AI Applications Engineer

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:

• 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 a SaaS environment.
• 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:

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

From universal asset discovery to AI‑powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.

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.

The gross salary range for this role is €54,810 – €89,067 (EUR) (Belgium) or discuss with the recruiter (USD) (United States) (based on full‑time employment).

Where you land within that range depends on the expertise you bring, the complexity you have navigated, the scope of impact you have owned, and your track record of delivering results in comparable roles — the same criteria applied consistently to every candidate.

We welcome applicants of all backgrounds, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.

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 [e-mail]

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.