Solutions Engineer

Antler; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Antler is seeking a Solutions Engineer to drive technical success in enterprise pilots, scoping integrations, and delivering proofs-of-concept that enable production enforcement within 30 days. You will interface with sales, engineering, and customer teams to tailor demos and guides for diverse environments, including multi-cloud and air-gapped setups.

This forward-deployed role may require on-site client sessions up to three weeks, and a strong focus on security and platform collaboration with

Qualifications

• 3+ years in a solutions engineering or customer-facing technical role, preferably in security or infra SaaS.
• Hands-on with APIs, containers/Kubernetes, and at least one major cloud provider.
• Ability to read and reason about application architecture to scope integrations solo.
• Strong presentation skills, comfortable demo-ing to security teams.
• Curiosity about LLM/agent security and enterprise AI adoption.
• Willingness to travel for on-site deployments up to three weeks at a time.

Responsibilities

• Own the technical relationship during enterprise pilots — scoping, architecture discussions, and integration support.
• Run proofs-of-concept that move customers from first API call to production enforcement within 30 days.
• Build demos, reference architectures, and integration guides tailored to prospect environments (VPC, air-gapped, multi-cloud).
• Answer deep technical and security questionnaires during procurement and security review.
• Partner with product and engineering to relay prospect feedback and unblock technical objections.
• Support customer-facing technical content: webinars, workshops, and conference demos.

Skills

APIs

Containers

Kubernetes

Cloud providers

Architecture

Presentation

LLM security

Forward deployment

Job description

Department: GTM

Location: Kuala Lumpur · Remote-friendly

Type: Full-time. Open to part-time arrangements, and we welcome internship applications for this role.

About the role

Enterprise pilots live or die on technical execution. As Solutions Engineer, you’ll be the technical voice in every pilot — scoping integrations, running proofs-of-concept, and helping security and platform teams get Obiguard enforcing policy in production. You sit at the intersection of sales, engineering, and the customer. This is a forward-deployed role — you may be deployed on-site at client offices for stretches of up to three weeks at a time for scoping sessions, POCs, and security reviews.

What you'll do

• Own the technical relationship during enterprise pilots — scoping, architecture discussions, and integration support.


• Run proofs-of-concept that get customers from first API call to production enforcement within 30 days.


• Build demos, reference architectures, and integration guides tailored to prospect environments (VPC, air-gapped, multi-cloud).


• Answer deep technical and security questionnaires during procurement and security review.


• Partner with product and engineering to relay prospect feedback and unblock technical objections.


• Support customer-facing technical content: webinars, workshops, and conference demos.

What we're looking for

• 3+ years in a solutions engineering, sales engineering, or technical customer-facing role — ideally in security or infra SaaS.


• Hands-on comfort with APIs, containers/Kubernetes, and at least one major cloud provider.


• Able to read and reason about application architecture well enough to scope an integration solo.


• Strong presentation skills — comfortable running a technical demo in front of a security team.


• Genuine curiosity about LLM/agent security and enterprise AI adoption.


• Comfortable with extended client-site deployments — this is a forward-deployed role, with on-site stints of up to three weeks at a time during active pilots.

Nice to have

• Experience integrating with LLM providers or model gateways.


• Background in application security, DevSecOps, or compliance tooling.


• Prior experience at an early-stage startup, comfortable with ambiguity.