[Hiring] Forward Deployed Engineer @Stack Overflow

Role Description

As a Forward Deployed Engineer, you will be the hands-on technical expert ensuring Stack Overflow’s Professional Services engagements are executed with precision. You’ll work directly with enterprise customers to deploy, configure, and optimize Stack Internal and its integrations.

This is a customer-facing delivery role: you’ll lead deployments, integrations, and solution validation while shaping delivery playbooks, mentoring future engineers, and helping evolve our services portfolio. You’ll partner closely with customers, internal teams, and our emerging partner network to ensure every engagement is delivered on time, to spec, and with clear business impact.

What you’ll do

• Own technical delivery across multiple deployments from first prototype to stable production.
• Contribute to SOW development by documenting technical specifications, identifying dependencies and risks, and defining acceptance criteria that protect delivery timelines.
• Build and validate integrations using our API, MCP server, and Knowledge Ingestion Engine, including connecting customer knowledge sources to AI-powered developer workflows.
• Write and maintain automation scripts (Python or similar) to streamline deployment processes, data ingestion pipelines, and environment configuration.
• Troubleshoot and resolve delivery challenges in collaboration with Customer Success, Product, and Support.
• Document and scale delivery processes by creating reusable playbooks, runbooks, and automation that enable repeatable deployments across customers and partner resources.
• Mentor and guide future engineers and partner resources, raising the overall standard of delivery excellence.
• Influence service evolution by feeding client and delivery insights into the design of new offerings.

Qualifications

• 3+ years of engineering or technical deployment experience that includes customer-facing work.
• Experience scoping and delivering complex systems in fast-moving or ambiguous environments.
• Ability to write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
• Experience with enterprise integrations across developer tools like Slack, Teams, GitHub, Jira, or ServiceNow, including API-based and webhook-driven architectures.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and familiarity with containerization (Docker), infrastructure-as-code (Terraform, CloudFormation), or CI/CD pipelines.
• Working knowledge of MCP servers, RAG architectures, or enterprise AI deployment patterns.
• Experience with data ingestion and ETL patterns.
• Clear written and verbal communication with both technical and business stakeholders.

Requirements

• Ability to configure and validate workflows using the Knowledge Ingestion Engine.
• Experience writing runbooks and presenting deployment status to engineering leaders.

Compensation (OTE)

• $180K – $190K OTE (80% base / 20% variable)
• Base: $144K – $152K
• Variable at target: $36K – $38K

Benefits

• Competitive Base Salary
• Generous paid vacation
• Generous parental leave (16 weeks at 100% pay), family care leave, and unlimited sick days
• Industry-leading health benefits applicable per country of residence for all full-time employees
• Company-paid Life Insurance
• Home Internet stipend
• Professional allocation for your growth and development
• One-time allowance to assist with your home office setup
• Company-paid access to Calm, Bravely, LinkedIn Learning, MyAcademy, and Overdrive