Aircall.io, Inc.

Aircall.io, Inc.

Forward Deployed Engineer - AI Solutions Engineering

New York Office · Full-time

Sponsorship not specified$90k-$136kDetected 2 days ago
JavaScriptPythonData StructuresBigQuerySnowflakeGraphQLRESTData VisualizationAgentic AIStakeholder ManagementHubSpotSalesforceCRMOutbound SalesCustomer SuccessVoIPLeadershipCommunicationCollaboration

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26Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

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About the role

  • This is a hands-on role where you'll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall's platform and accelerate adoption.
  • Please note, this is not a software engineering role.
  • This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership

Responsibilities

  • Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.
  • Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.
  • Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.
  • Configure and optimize the AI Agent - defining intents, prompts, actions, guardrails, and performance metrics.
  • Manage complex, cross-functional deployments - defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.
  • Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.
  • Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.
  • Own regional top-line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add-on quotas.
  • Act as an internal product owner within the GTM function-defining product-specific MRR strategies, coordinating cross-functional support, and ensuring Aircall delivers the leading AI-enabled communication platform.
  • Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.

Requirements

  • Even better if you have experience with MCP Servers.
  • Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).

Compensation

  • $90,000 - $136,000 USD
  • 💶 Competitive salary package & benefits

Benefits

  • Champion continuous learning and enablement - train peers, run internal workshops, and document best practices to raise the technical bar across the team.
  • Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
  • 📚 Fast-learning environment, entrepreneurial and strong team spirit
  • At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.
  • We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open.

Company info

  • Aircall's Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows.
  • We turn possibility into production - delivering automation that improves customer experience, boosts productivity, and unlocks new business value.
  • Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact.
  • This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy.
  • You don't need to be a full-time software engineer, but you should be fluent in APIs, very confident managing technical projects, and eager to continuously learn, build, and scale new models that empower both customers and teammates.
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