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Ai Communication Jobs in Indiana (NOW HIRING)

Exceptional written and verbal communication skills with meticulous attention to detail. * Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI ...

Exceptional written and verbal communication skills with meticulous attention to detail. * Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI ...

Communicate AI system behavior, limitations, and results in plain language to non-technical audiences. * Champion responsible, explainable AI use across the organization - ensuring solutions are ...

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Ai Communication information

What is an entry-level job in AI?

An entry-level job in AI typically involves roles such as AI analyst, data analyst, or junior machine learning engineer, requiring foundational knowledge of programming languages like Python and understanding of machine learning concepts. These positions often require a bachelor's degree in computer science, data science, or related fields and may involve tasks like data preprocessing, model training, and assisting with AI development projects.

What is AI communication?

AI communication refers to the ways artificial intelligence systems interact with humans or other systems, using natural language, text, speech, or other methods. This can include chatbots, voice assistants, automated email responses, and more. The goal of AI communication is to create seamless, effective, and human-like interactions that assist with customer service, information retrieval, or other tasks. Professionals in AI communication work on designing, developing, and improving these interactions to ensure clarity, accuracy, and user satisfaction.

What is the difference between Ai Communication vs Data Analyst?

AspectAi CommunicationData Analyst
Required CredentialsBachelor's in Communications, AI, or related fields; certifications in AI toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentTech companies, AI firms, communication agenciesBusiness, finance, healthcare, and tech industries
Employer & Industry UsageUsed for developing AI-driven communication systems and chatbotsUsed for interpreting data, generating reports, and supporting decision-making

Ai Communication focuses on designing and implementing AI-powered communication tools, while Data Analysts interpret data to inform business decisions. Both roles require analytical skills but differ in their core functions and industry applications.

What are the key skills and qualifications needed to thrive as an AI Communications Specialist, and why are they important?

To thrive as an AI Communications Specialist, you need a solid background in communications, linguistics, or marketing, often supported by experience in technology or AI-focused industries. Familiarity with AI platforms, natural language processing tools, and analytics software is typically required, along with knowledge of content management systems. Exceptional written and verbal communication, creativity, and the ability to translate complex technical concepts into accessible language are vital soft skills. These skills ensure the clear, effective dissemination of AI-related information to diverse audiences, supporting organizational goals and user understanding.

Which AI job is high paying?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer higher salaries due to their specialized skills and demand in industries like technology, finance, and healthcare.

How do professionals in AI Communication typically collaborate with technical and non-technical teams?

Professionals in AI Communication frequently serve as a bridge between data scientists, engineers, and business or marketing teams. They are responsible for translating complex AI concepts into clear, accessible language for non-technical stakeholders, while also ensuring that feedback from users and clients is accurately relayed to the technical team. This role often involves regular meetings, the creation of presentations or reports, and close collaboration during project planning and product launches. Successful AI communicators are proactive in fostering understanding and alignment across diverse groups to support the organization's AI initiatives.

Is AI taking communication jobs?

AI communication roles involve developing and managing AI systems that facilitate human interaction, such as chatbots and virtual assistants. While AI automates certain tasks, communication jobs that require emotional intelligence, complex understanding, and personalized responses continue to require human skills. Professionals in this field often work with AI tools and need strong language and technical skills.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI executives, senior data scientists, or specialized machine learning engineers, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles may involve overseeing AI projects, developing innovative algorithms, or managing teams in tech companies or research institutions, and they usually offer compensation packages including salary, bonuses, and stock options.
What are popular job titles related to Ai Communication jobs in Indiana? For Ai Communication jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Communication jobs in Indiana look for? The top searched job categories for Ai Communication jobs in Indiana are:
What cities in Indiana are hiring for Ai Communication jobs? Cities in Indiana with the most Ai Communication job openings:
Infographic showing various Ai Communication job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Director, Forward Deployed Engineering & AI GTM Lead

Director, Forward Deployed Engineering & AI GTM Lead

Aircall

Francisco, IN โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
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Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
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Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
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How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the Role:
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The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall's AI Communication Agent.
This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments.
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Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this leader works across Sales, Account Management, Product, Engineering, Marketing, and Support to ensure AVA is successfully positioned, implemented, and scaled. The role plays a critical part in shaping how Aircall brings AI to market - translating field execution into repeatable models, and customer learnings into product and GTM evolution.
Key Responsibilities:
  • Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7-8 by H1 '26, setting clear standards for technical excellence, execution rigor, and customer impact.
  • Stay closely involved in active customer engagements and strategic initiatives, providing technical guidance, solution direction, and senior-level support where needed.
  • Drive strong AI Agents go-to-market execution by embedding disciplined operating practices across the team, including pipeline hygiene, forecasting accuracy, and effective collaboration with Sales, AM, SE, Partners, and CEs.
  • Pilot the team using data-backed operating models, defining and tracking clear input and output KPIs to assess performance, drive accountability, and accelerate AI Agent adoption (e.g., activity metrics, time-to-value, deployment quality, usage and revenue impact).
  • Maintain deep technical credibility by staying close to the product and real-world use cases - comfortable coding in at least one language and highly fluent with APIs, integrations, and modern system architectures.
  • Guide the design and delivery of scalable AI Agent deployments, including integrations with CRMs, help desks, and System-of-Truth platforms.
  • Build and evolve playbooks, reference architectures, and deployment frameworks that enable repeatable, high-quality execution as the team scales.
  • Lead cross-functional programs focused on AI Agents success, coordinating efforts across Product, Engineering, Marketing, Support, and GTM teams.
  • Represent field execution and customer needs in close partnership with Product and Engineering, influencing roadmap priorities and delivery decisions.
  • Drive internal enablement and upskilling across GTM teams, ensuring Aircall Voice Agent is clearly understood, well-positioned, and effectively adopted.
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Qualifications:
  • 7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services roles, with prior people-management experience strongly preferred.
  • Strong entrepreneurial mindset, as this is a startup within a startup (even better if former founder)
  • Strong technical foundation, including hands-on experience with APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., Python or JavaScript).
  • Demonstrated ability to lead execution in complex, cross-functional environments while staying close to the field.
  • Experience working within overlay or specialist GTM models, with strong understanding of sales cycles, forecasting, and execution best practices.
  • Proven ability to build scalable playbooks and operating models that move teams beyond ad hoc delivery.
  • Excellent communication and stakeholder management skills, translating between technical and business audiences.
  • Strong interest in AI and applied automation; prior experience in AI, conversational AI, or adjacent domains is a significant plus.
  • Experience with CRMs, help desks, and System-of-Truth architectures is highly desirable.
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What Success Looks Like
  • Agents are consistently deployed with high quality and clear business impact across customers.
  • The FDE team scales effectively with shared standards, reusable frameworks, and predictable execution.
  • Go-to-market execution for Agents is disciplined, data-driven, and improving quarter over quarter.
  • Cross-functional teams operate with strong alignment around AI Agents' priorities, launches, and roadmap decisions.
  • Field learnings continuously inform product evolution and GTM strategy, strengthening Aircall's leadership in applied AI.
$200,000 - $230,000 a year
This base range is not including an annual bonus (80/20 split), equity, and other benefits. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience.
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Why join us?
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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
ย 401k plan with company matching!
ย Unlimited PTO - take the time you need to come to work feeling great!
ย Wellness, commuter, and childcare reimbursements
ย Generous parental leave policy
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DE&I Statement:ย 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey.ย 
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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.ย ย 
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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.
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Want to know more about candidate privacy? Find ourย Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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