Aircall.io, Inc.

Aircall.io, Inc.

Forward Deployed Engineer (AI Solutions) - NA East Market

New York Office · Senior · Full-time

Sponsorship not specified$120k-$190kDetected 34 days ago
JavaScriptPythonData StructuresBigQuerySnowflakeGraphQLRESTData VisualizationAgentic AIStakeholder ManagementHubSpotSalesforceCRMOutbound SalesCustomer SuccessVoIPAR/VRLeadershipCommunicationCollaboration

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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, reporting into our GTM organization.

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

  • 0-6+ years of experience in technical consulting, solutions engineering, or integration-focused project management.
  • Client facing experience required
  • Even better if you have experience with MCP Servers.

Skills

  • Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
  • Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
  • Excellent communication and stakeholder management skills, translating between technical and business audiences.
  • Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
  • Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
  • Exposure to scripting (JavaScript/Python) for light customization and debugging.
  • Consistent delivery of high-quality, scalable AI Agent deployments with clear business outcomes.
  • Strong collaboration with Engineering and Product to enhance platform capabilities.

Compensation

  • The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.

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.

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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