Cartesia

Forward Deployed Engineer

*HQ - San Francisco, CA · Exec

Sponsorship not specifiedDetected 161 days ago

DatabricksAWSGCPKubernetesMachine LearningCustomer SuccessSystems Engineering

About the role

FDEs maximize customer success and revenue by turning Cartesia's core product into deployed, high-impact solutions.
Unblock critical integrations - Diagnose and resolve integration failures, performance bottlenecks, and deployment issues under real-world constraints.
Turn customer signal into platform leverage - Surface recurring patterns to engineering and product teams, influencing roadmap and reusable capabilities.

Write and ship production-grade code - Design, build, and deploy voice AI systems that power real enterprise workflows.
Own deployments end-to-end - Lead discovery, architecture, implementation, and rollout for strategic customer engagements.
Drive progress in ambiguity - Move projects forward when requirements are incomplete, constraints evolve, or systems fail in unexpected ways.
Deliver across complex infrastructure - Deploy across cloud, VPC, and on-prem environments while navigating security, networking, and compliance requirements.
Drive expansion through building - Identify new use cases and prototype solutions that deepen adoption and increase long-term customer value.
Build for scale - Transform one-off solutions into repeatable playbooks, templates, and reference architectures.
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.
🦖 Your own personal Yoshi

4+ years of experience building and operating production software systems
Strong backend engineering fundamentals and a track record of delivering reliable systems
Experience integrating APIs and distributed services into real-world infrastructure
Experience navigating enterprise constraints: authentication, networking, observability, and security reviews
Experience in forward-deployed, solutions, implementation, or customer-facing engineering roles
Experience deploying AI/ML systems into production environments
Familiarity with real-time systems (voice, streaming APIs, telephony, low-latency systems)
Ability to take ambiguous problems, define structure, and drive them to resolution
High ownership and bias for action - you move quickly without waiting for perfect specs
Clear, structured communicator comfortable engaging with senior technical stakeholders
Experience with on-prem or hybrid infrastructure deployments
Multilingual fluency or experience supporting customers across international markets and non-English language deployments.

Comfort operating across cloud and containerized environments (AWS, GCP, Kubernetes)

💰 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
🚆 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.
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.

We're hiring a Forward Deployed Engineer to advance our mission of building real-time multimodal intelligence by embedding directly with enterprise customers and delivering agentic voice AI solutions into their production environments.
Our mission is to architect AI that learns from and interacts with the world like humans do.

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.

This listing is sourced directly from Cartesia's careers page and normalized into a canonical job model.