Forward Deployed Software Engineer at Servian

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise Software, IT ServicesIndustries

Requirements

2+ years of experience in an engineering role, ideally with close customer interaction (e.g., Product Engineer, Forward Deployed Engineer)
Technical Aptitude: Comfortable working with APIs, scripting, and shipping production code to configure solutions and troubleshoot issues
Customer-Focused Mindset: Track record of successfully guiding customers from pilot to launch, with a genuine passion for customer satisfaction
Self-Motivated & Adaptable: Excited to thrive in a fast-paced, early-stage environment—ready to pivot quickly and handle multiple priorities
Strong Communication Skills: Capable of translating complex technical concepts to both technical and non-technical stakeholders
Problem-Solving Approach: Scrappy and creative in finding quick, effective solutions to technical challenges
Bonus: Previous startup experience as an early technical hire
Bonus: Familiarity with IT, security, or service management domains

Responsibilities

Lead Customer Pilots: Collaborate with prospects to design and execute highly technical proof-of-concept implementations, showcasing Serval’s capabilities and value
Build Product: Write production-ready code to build on our product’s capabilities and meet customer needs
Push the Frontier of Agentic IT Automation: Ensure Serval’s AI agents get smarter every week and deliver reliable, high-quality outcomes for customers
Implement & Onboard: Guide new customers through the onboarding process, including system setup, configuration, and best practices
Code Workflows: Use our workflow builder and write custom code to build workflow automations for complex business logic
Migrate from Legacy Systems: Develop and execute migration plans that minimize disruption, ensuring seamless adoption of Serval’s platform
Provide Technical Post-Sales Support: Serve as the go-to technical resource for customers, troubleshooting issues and advocating for their needs internally
Collaborate Cross-Functionally: Work with product and broader engineering team to relay customer feedback, shape feature requests, and deliver high-impact solutions
Educate & Empower: Conduct training sessions and create documentation that helps customers become self-sufficient with Serval’s technology

Skills

Software Engineering

AI Agents

Workflow Automation

Customer Pilots

Proof of Concept

Production Code

Onboarding

System Migrations

Natural Language Processing

IT Automation

Servian

Data analytics and digital solutions provider

About Servian

Servian focuses on data analytics, digital solutions, customer engagement, and cloud services, helping businesses improve decision-making and performance. They build strong data foundations and develop analytics capabilities using machine learning and deep learning to create engaging customer experiences. What sets Servian apart is their customer-centric approach, which emphasizes understanding client needs and leveraging customer data for insights. Their goal is to empower businesses to use data and technology to enhance efficiency and drive innovation.

Sydney, AustraliaHeadquarters

2008Year Founded

ACQUISITIONCompany Stage

Data & Analytics, Consulting, AI & Machine LearningIndustries

501-1,000Employees

Risks

Emerging firms offering similar services at lower costs threaten Servian's market share.

Rapid AI advancements may outpace Servian's integration capabilities.

In-house data analytics development by companies could reduce demand for Servian's services.

Differentiation

Servian specializes in data analytics, digital solutions, and customer engagement.

The company offers end-to-end solutions including data management and cloud infrastructure.

Servian's customer-centric approach prioritizes understanding and meeting client needs.

Upsides

Growing demand for cloud-native data analytics boosts Servian's market potential.

AI-driven customer engagement platforms enhance user experiences and retention rates.

Low-code platforms enable faster deployment, appealing to non-technical users.

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