Product Support Specialist
Cartesia
Product Support Specialist
Cartesia
Develops foundation models with subquadratic architectures
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
Cartesia builds real-time voice and audio AI, and our customers put our models in front of their own users every day. As our Product Support Specialist, you’ll own the front line, the first person customers hear from when something is unclear, broken, or blocking them. You’re obsessed with the customer experience: you dig into every problem, don’t let go until the customer is unblocked, and treat each ticket as a chance to make Cartesia better. Our support function is still taking shape, so you’ll help shape the processes that define our post-sales support and set the standard for how customers experience Cartesia. This role is based in San Francisco.
Own the support queue across Slack, Pylon, WhatsApp, and email, with extra attention to priority and enterprise accounts.
Keep response and resolution times within SLA, so customers always know where their issue stands.
Resolve L1 and L2 issues independently across billing, documentation, configuration, APIs, and voices.
Troubleshoot complex L3 issues, reproduce them, gather the relevant details, and escalate to On-Call with complete context.
Partner with Engineering and Product to turn customer issues into fixes by, writing clear bug reports and creating actionable Linear tickets, and pushing them to get prioritized when customers are blocked
Reduce repeat tickets by building internal runbooks, improving our customer-facing documentation, and sharing what you learn about troubleshooting
Help with incident communications by coordinating customer updates, explaining impact, and keeping customers informed on progress until resolution.
2+ years in technical support for an API or developer product, working a live queue of customers who write code.
Hands-on troubleshooting skills: you can read requests, responses, and logs, reproduce an issue, and tell a bug from a configuration problem.
Clear written communication, both to customers and in bug reports, runbooks, and docs.
Experience supporting customers in real-time channels like shared Slack channels or chat, and balancing speed with accuracy.
A track record of working with engineers to get issues fixed, including filing well-formed tickets in a tracker like Linear.
Comfort with ambiguity: you make good calls without a playbook, and when one is missing, you write it.
Experience supporting an API or developer product, where your customers write code.
Familiarity with AI products, especially voice, speech, or audio products such as text-to-speech, speech recognition, or voice agents.
Experience writing customer-facing updates during an incident or outage.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🏦 401(k)
🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
🦖 Your own personal Yoshi
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
Cartesia.ai develops advanced AI foundation models using new subquadratic architectures and state space models. Its models are designed as underlying systems that can be adapted for many applications and are released in part under open-source licenses (e.g., Apache 2.0), with licensing, partnerships, and consulting as revenue streams. The company’s products work by providing large, adaptable AI models that clients can license or customize for specific needs, enabling faster processing and efficient inference compared to traditional designs. Cartesia differentiates itself from competitors by using subquadratic, state space approaches instead of relying mainly on standard Transformer models, and by combining open-source releases with enterprise partnerships. The goal is to help businesses and research institutions access powerful, adaptable AI capabilities while building a community around its technology and sustaining revenue through licensing and services.
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