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Ai Customer Support Engineer Jobs (NOW HIRING)

AI-powered user interviews. Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to ... Support Associate, and work alongside Customer Operations, Product, and Engineering. This is a role ...

$140K - $160K/yr

We're a globally distributed team of engineers, scientists, and builders redefining how AI learns ... Customer Support Engineering: Customer Support Engineering is an integral part of the Customer ...

Customer Support Engineering: Customer Support Engineering is an integral part of the Customer ... Ability to leverage AI agents as a resource to accelerate troubleshooting and proactively propose ...

We are achieving this by building the leading messaging application, integrating AI where it ... As a Customer Support Engineer , you will be the first point of contact for our customers ...

Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ... Summary As a Customer Support Engineering team you will be regarded as a VAST Data technical expert ...

Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ... Summary As a Customer Support Engineering team you will be regarded as a VAST Data technical expert ...

AI-powered user interviews. Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to ... Support Associate, and work alongside Customer Operations, Product, and Engineering. This is a role ...

Customer Support Engineer

New York, NY · On-site

$85K - $120K/yr

Rillet is the AI-native ERP built for modern finance teams. We help companies automate the most ... You'll join as one of our first Customer Support Engineers: a hybrid role that combines front-line ...

As a Customer Support Engineer, you'll help developers and businesses solve complex technical ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

VAST Data is a rapidly growing infrastructure company focused on data management for the AI era. The Customer Support Engineer will act as a technical expert, handling customer issues, performing ...

Customer Support Engineer The Customer Support Engineer plays a key role in delivering technical expertise and customer-focused support throughout the lifecycle. The ideal candidate combines ...

C3 AI C3 AI is seeking a Director of Customer Support Engineering to lead our growing global support team in Redwood City, California. In this role, you'll shape how C3 AI delivers world-class ...

Customer Support Engineer The Customer Support Engineer plays a key role in delivering technical expertise and customer-focused support throughout the lifecycle. The ideal candidate combines ...

Customer Support Engineer Location: New Albany, Ohio Work model: On-site, Monday through Friday About the Position Wärtsilä is looking for a Customer Support Engineer (CSE) to serve as our on-site ...

... with fellow customer support engineers, sales engineers, consulting engineers, and internal engineering departments Function as the primary technical resource for large customer accounts with ...

... with fellow customer support engineers, sales engineers, consulting engineers, and internal engineering departments Function as the primary technical resource for large customer accounts with ...

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Ai Customer Support Engineer information

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$39K

$78.6K

$108.5K

How much do ai customer support engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai customer support engineer in the United States is $78,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $90,000.00 per year, depending on experience, location, and employer.

What is an AI customer support engineer?

An AI Customer Support Engineer is a professional who leverages artificial intelligence technologies to enhance customer support operations. They work on integrating, maintaining, and optimizing AI-driven tools such as chatbots, virtual assistants, and automated ticketing systems to improve customer experience and efficiency. Their responsibilities often include troubleshooting technical issues, analyzing user feedback, and collaborating with development teams to refine AI solutions. This role combines technical expertise with a strong understanding of customer service processes.

How does an AI customer support engineer typically collaborate with product and engineering teams?

AI Customer Support Engineers often act as a bridge between customers and internal teams, relaying user feedback and technical issues to product managers and engineers. They participate in cross-functional meetings to discuss recurring support trends, suggest improvements, and help prioritize bug fixes or feature requests. This collaboration ensures that customer concerns are addressed efficiently and that the AI-driven product evolves based on real user needs. Strong communication skills are essential, as you'll regularly translate complex technical concepts for both technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive as an AI customer support engineer, and why are they important?

To thrive as an AI Customer Support Engineer, you need a solid background in computer science, troubleshooting, and understanding of AI technologies, often backed by a relevant degree or certifications. Familiarity with support ticketing systems, AI platforms (such as TensorFlow or PyTorch), and APIs is typically required. Exceptional problem-solving abilities, clear communication, and patience are vital soft skills for effectively assisting customers. These skills and qualities ensure efficient resolution of technical issues and foster positive customer experiences with AI-driven products.

What are popular job titles related to Ai Customer Support Engineer jobs?

For Ai Customer Support Engineer jobs, the most frequently searched job titles are:

Infographic showing various Ai Customer Support Engineer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,569 per year, or $37.8 per hour.

Customer Support Engineer

San Francisco, CA • On-site

$140K - $185K/yr

Full-time

Re-posted 3 days ago


Job description

Outset invented a better way to do research: AI-powered user interviews.
Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.
The research industry is massive (>$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.
Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025-less than six months after our Series A-led by Radical Ventures with participation from M12 (Microsoft's venture arm), 8VC, Y Combinator, and Adverb Ventures.
The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.
We're a tight-knit team serving some of the world's largest enterprises.
We're continuing to build our Customer Support team as we scale at Outset!
You'll sit between our customers and our product. Day to day, that means owning a live queue of inbound product and account issues, digging into and resolving questions, and collaborating closely with engineering, product, and design. The other half of the job is building: designing the systems, automations, reporting, and training content that will help our team scale our support for customers.
You'll partner closely with our NYC-based Product Support Associate, and work alongside Customer Operations, Product, and Engineering. This is a role for someone who is technically capable, AI-native, and excited to dig in with high ownership to define what an AI-native support function actually looks like.
Responsibilities
  • Own the support queue end to end - inbound technical product and account inquiries, resolved with speed, accuracy, and care.
  • Do advanced troubleshooting: reproduce issues, review logs, and isolate whether something is a product bug, a configuration problem, or a workflow gap.
  • Write reproducible bug reports Engineering can act on immediately, and follow them through to resolution and customer communication.
  • Build the deepest product expertise on the CX team, and raise the bar on how well the product is understood internally and externally.
  • Own and operationalize Pylon, our support platform: ticket routing, automation rules, segmentation, SLAs, macros, and escalation paths.
  • Design support reporting and dashboards - volume, response and resolution times, deflection, issue categories, per-account health - and turn the data into recommendations leadership can act on.
  • Build and maintain our knowledge base and internal runbooks.
  • Prototype and ship AI-assisted support: automated triage and tagging, drafted responses, self-serve deflection, and internal agents that make the team faster.
  • Turn support signal into product signal - spot trends across tickets and bring evidence-backed insight into product planning.
  • Partner with Customer Operations on shared workflows, operating model, and documentation.
Qualifications
  • 4-8+ years in technical support, support engineering, solutions, or another technical customer-facing role - ideally at a startup with a complex or technical product.
  • Technical depth: you've reviewed internal logs and used SQL or similar data tooling to debug a customer issue and scope how far it spreads.
  • Support tooling: hands-on experience configuring a support platform (Pylon, Zendesk, Intercom, Front, or similar) - automations, routing, segmentation - and building reporting on top of it.
  • Communication: you can explain a technical problem clearly to a non-technical enterprise customer, and go deep on the details with an engineer.
  • AI curiosity: genuine interest in AI-native tooling, backed by a track record of experimenting with it in your own workflow.
  • Prioritization and independence: strong prioritization instincts under a heavy queue of inquiries and escalations, steady when things get urgent, and able to find structure in ambiguity without waiting for a defined process.
  • Ownership: you take responsibility beyond your lane and want the range that comes with a small, fast-moving team.
  • Based in the San Francisco Bay Area, able to work onsite from our SF office, with hours that overlap meaningfully with East Coast colleagues.

Nice to have
  • Experience being an early or founding support hire and developing process at scale.
  • Experience supporting enterprise customers.
  • Familiarity with user research, research ops, or participant recruitment workflows.
  • Interest in testing and tinkering with newly-launched and in-development features.