Forward Deployed Infrastructure Engineer
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Role details
Tech stack
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Job description
- Own deployment architecture conversations and execution - designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning
- Manage the full infrastructure lifecycle for our most critical subscription platform customers: initial deployment, ongoing upgrades, scaling, and incident support
- Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable as we grow
- Partner with our engineering team to ensure our agent platform is deployable and operable across diverse customer tech stacks and compliance requirements
- Work directly with customers’ platform engineering, security, and DevOps teams to navigate their infrastructure constraints - particularly in regulated industries where subscription data is sensitive
- Collaborate with Sales and Customer Success during pre-sales and onboarding to scope infrastructure requirements and translate customer needs into concrete deployment plans
Requirements
Problem Solving Skills, Customer Support/Service, Artificial Intelligence (AI) Agents, LifeTime Value (LTV), Consumer Branding, Customer Retention/Renewal, Artificial Intelligence (AI), Scholarship, Automation, Machine Tool, * + 1 year in infrastructure, DevOps, platform engineering, or solutions architecture - with significant time spent on customer-facing deployment work
- Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing)
- Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes
- Ability to work with enterprise stakeholders across the spectrum - from platform engineers to CISOs - and turn infrastructure conversations into actionable deployment plans
- Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from day one, not as an afterthought
- Comfortable working in a fast-moving seed-stage environment where the process is still being written - and excited to be the one writing it
Nice to Have:
- Experience deploying AI/ML workloads or LLM-based products into enterprise environments
- Familiarity with subscription platform infrastructure (billing systems, CRM integrations, data pipelines)
- Prior experience at an early-stage startup where you wore multiple hats across infra and engineering
About the company
We’re on a mission to make subscriber churn a solved problem. Backed by a16z Speedrun, we build AI agents that help consumer subscription brands - like Higgsfield and Promova - retain more users, extend lifetime value, and grow fast. We’re an incredibly driven team working on a problem that affects every consumer on the planet. If that sounds like your kind of thing, we’d love to meet you.
Our co-founders are Azamat Khamidov and Benazir Toleubekova. Azamat built a Telegram AI product from zero to five million users in four months, the first acquisition inside Telegram. Benazir received a full scholarship to Beijing University of Technology at 15. Joined Taobao at 17. At Alibaba, architected the core recommendation engine serving 500M daily users.
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