Forward Deployed Engineer - AI Solutions Engineering

Aircall; Santa Fe (NM); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k with company matching

Unlimited PTO

Wellness, commuter, and childcare Reim

Generous parental leave

Job summary

Aircall is seeking a Forward‑Deployed Engineer to own end‑to‑end delivery of low‑code AI solutions for customers. You will design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools, while driving team upskilling and reusable frameworks.

You will lead customer discovery, build integrations with Zapier/Make/n8n/Workato and CRM tools, collaborate with Engineering, define intents and performance metrics, and manage complex deployments

Qualifications

• 5–8 years in technical consulting, solutions engineering, or integration‑focused project management.
• Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently.
• Hands‑on experience with low‑code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
• Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
• Proven ability to lead cross‑functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.
• Excellent communication and stakeholder management skills, translating between technical and business audiences.
• A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.

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.
• Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.
• Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.
• 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 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.
• Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
• Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.

Skills

APIs & webhooks,

JSON/REST/GraphQL

Low‑code orchestration tools

CRM automation

AI workflow configuration

Cross‑functional leadership

Communications

Growth mindset

Tools

Zapier

Make

n8n

Workato

HubSpot

Salesforce

Job description

About the Role

As a Forward‑Deployed Engineer, you’ll own the end‑to‑end delivery of technically sound, low‑code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross‑functional initiatives that improve how Aircall deploys AI at scale.

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.
• Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.
• Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.
• 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.
• Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
• Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.

Qualifications

• 5–8 years in technical consulting, solutions engineering, or integration‑focused project management.
• Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. 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).
• Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
• Proven ability to lead cross‑functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.
• Excellent communication and stakeholder management skills, translating between technical and business audiences.
• A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.
• Nice‑to‑haves:
• 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.
• Shortened time‑to‑first‑value and increased automation adoption across SMB customers.
• Reusable frameworks, models, and templates actively used by peers and partners.
• Strong collaboration with Engineering and Product to enhance platform capabilities.
• Demonstrated leadership in team enablement and upskilling, with measurable impact on technical excellence.
• Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions.

Benefits

• Key moment to join Aircall in terms of growth and opportunities
• Our people matter, work‑life balance is important at Aircall
• Fast‑learning environment, entrepreneurial and strong team spirit
• 45+ Nationalities: cosmopolite & multi‑cultural mindset
• Competitive salary package & benefits
• Medical, dental, and vision insurance is 100% covered
• 401k plan with company matching
• Unlimited PTO — take the time you need to come to work feeling great
• Wellness, commuter, and childcare reimbursements
• Generous parental leave policy

Why This Role is Unique

This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter.

DE&I Statement

At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. 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. Above all else, we understand and acknowledge that we have work to do and much to learn.