Technical Solutions Engineer

Posted Yesterday
Be an Early Applicant
San Francisco, CA, USA
Hybrid
167K-231K Annually
Mid level
Artificial Intelligence • Software • Biotech • Generative AI
The Role
Serve as the primary technical contact for enterprise customers deploying Artos (cloud or BYOC). Install, configure, troubleshoot, and scale deployments; diagnose issues through logs, infrastructure, and code; escalate to engineering. Own customer-facing and security/compliance documentation. Collaborate with engineering, implementation, and customer success to improve product reliability and deployment experience.
Summary Generated by Built In
About Artos:

At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.


The Role:

We're looking for a Technical Solutions Engineer to bridge the gap between engineering and customer success.

This is a deeply technical, customer-facing engineering role. You'll become the primary technical contact for customers deploying Artos both via our cloud and in BYOC contexts, helping them successfully install, configure, troubleshoot, and scale the platform. You'll investigate complex technical issues, diagnose problems down to root cause, and work closely with our engineering team to resolve them.

You'll also own much of the technical documentation our customers rely on—from deployment guides and architecture documentation to engineering responses for security and compliance reviews.

This role is ideal for someone who enjoys debugging distributed systems as much as working directly with customers. You'll spend your time solving real technical problems rather than routing tickets, and you'll have significant ownership over the customer experience.


What You'll Do:
Own customer technical success
  • Serve as the primary technical point of contact for customers deploying Artos into their own cloud environments.

  • Help customers configure infrastructure, permissions, networking, authentication, and other deployment requirements.

  • Investigate and resolve technical issues that arise during implementation and production usage.

  • Diagnose customer-reported issues by tracing behavior from symptoms through logs, infrastructure, and application code to identify root causes.

  • Escalate and partner with engineering when product changes or deeper investigation are required.

Build and maintain technical documentation
  • Own customer-facing technical documentation, including deployment guides, architecture references, integration documentation, and troubleshooting resources.

  • Create and maintain engineering documentation required for customer security reviews, compliance questionnaires, and technical due diligence.

  • Continuously improve documentation based on customer feedback and recurring support patterns.

Collaborate across engineering and customer teams
  • Partner closely with engineering to reproduce issues, validate fixes, and improve product reliability.

  • Work alongside Forward Deployed Engineers on larger or more complex customer implementations.

  • Collaborate with Implementation and Customer Success teammates to translate customer needs into technical solutions.

  • Identify recurring customer challenges and help improve the product, tooling, and deployment experience.

What We're Looking For:
  • Strong software engineering fundamentals with experience debugging production systems.

  • Experience deploying or supporting cloud-native applications on AWS, Azure, or GCP.

  • Comfort working with containers, networking, authentication, IAM, APIs, and modern infrastructure.

  • Excellent troubleshooting skills, with the ability to independently isolate complex technical issues.

  • Strong written communication skills with experience creating technical documentation.

  • Ability to communicate effectively with both engineers and non-technical stakeholders.

  • A bias toward ownership, curiosity, and solving customer problems end-to-end.

Nice to Have
  • Experience supporting enterprise SaaS customers.

  • Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code.

  • Experience responding to enterprise security questionnaires or compliance reviews.

  • Experience supporting BYOC or self-hosted enterprise deployments.

  • Familiarity with AI/LLM infrastructure or modern ML platforms.


Other Information:

Very comfortable working in a fast-paced and intense startup environment

Willing to work in-person in our office in Mission Bay 4-5 days/week

Likes matcha KitKats, believes every LLM prompt is just Schrödinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

Skills Required

  • Strong software engineering fundamentals with experience debugging production systems.
  • Experience deploying or supporting cloud-native applications on AWS, Azure, or GCP.
  • Comfort working with containers, networking, authentication, IAM, APIs, and modern infrastructure.
  • Excellent troubleshooting skills with ability to isolate complex technical issues independently.
  • Strong written communication skills and experience creating technical documentation.
  • Ability to communicate effectively with both engineers and non-technical stakeholders.
  • Bias toward ownership, curiosity, and solving customer problems end-to-end.
  • Willingness to work in-person in the Mission Bay office 4-5 days per week.
  • Experience supporting enterprise SaaS customers.
  • Familiarity with Kubernetes, Docker, Terraform, or infrastructure-as-code.
  • Experience responding to enterprise security questionnaires or compliance reviews.
  • Experience supporting BYOC or self-hosted enterprise deployments.
  • Familiarity with AI/LLM infrastructure or modern ML platforms.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
21 Employees
Year Founded: 2023

What We Do

Artos AI develops a generative-AI platform for biopharma and life-sciences organizations. Its software helps clinical development, medical writing, CMC, and regulatory teams create, manage, trace, and collaborate on documents used in regulatory submissions, including INDs, NDAs, and BLAs. By turning structured and unstructured data into submission-ready materials, Artos aims to shorten development timelines and bring treatments to patients faster and more efficiently.

Similar Jobs

Hybrid
Palo Alto, CA, USA
289097 Employees
Hybrid
Palo Alto, CA, USA
289097 Employees

Ingram Micro Logo Ingram Micro

Solutions Engineer

Cloud • Information Technology • Consulting
In-Office
4 Locations
27182 Employees
90K-144K Annually
In-Office or Remote
2 Locations
175633 Employees
116K-218K Annually

Similar Companies Hiring

Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
LTX Thumbnail
Robotics • Conversational AI • Generative AI
Jerusalem, Israel
300 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account