Senior Software Engineer

We’re looking for customer-facing Software Engineers who can rapidly identify operational pain points, build practical AI-powered solutions, and deploy them in real-world environments as part of a forward-deployed engineering role. This role sits at the intersection of Engineering, Product, and Customer Success. You’ll work directly with users to understand workflows, uncover the highest-impact problems, and quickly deliver solutions using AI, automation, APIs, and cloud tooling. Success in this role requires strong engineering ability, operational problem-solving, communication skills, and the ability to move from ambiguity to implementation quickly. You are not just advising on solutions — you are building, deploying, and operationalizing them directly alongside customers.

Description

- Partner directly with business stakeholders, engineers, and product managers to understand operational workflows, deployment requirements, and process bottlenecks
- Translate ambiguous business needs into practical, scalable technical solutions
- Identify high-impact operational pain points and rapidly deliver solutions that create measurable value
- Scope, design, build, and deploy AI-powered internal tools, workflow automations, and system integrations across test and production environments
- Lead business implementations and deployments as a forward-deployed Software Engineer / Technical Product Manager (FDE/TPM)
- Build and maintain integrations across APIs, systems, and data platforms
- Troubleshoot production issues, debug live environments, and drive issues through resolution
Guide user adoption, training, and iterative improvement as workflows and AI capabilities evolve
Partner closely with product and engineering teams to improve platform capabilities based on real-world operational feedback
Operate effectively in dynamic environments with evolving business and deployment requirements

Minimum Qualifications

BS/MS in Computer Science, Engineering, Information Systems, or a related technical field
7+ years of experience in software engineering, solutions engineering, technical consulting, or other business-facing technical roles
Strong hands-on engineering skills with Python, APIs, infrastructure platforms, and systems integrations
Experience deploying, supporting, and troubleshooting production systems in enterprise environments
Experience building integrations and automating workflows across multiple systems
Practical experience using LLMs or GenAI APIs to create reliable workflows, automations, or internal tools
Familiarity with modern AI tooling, agent frameworks, prompt engineering, and orchestration platforms

Preferred Qualifications

Experience with AI agents, workflow orchestration systems, or enterprise automation platforms
Familiarity with containerization, deployment, and infrastructure tooling such as Docker, Kubernetes, and CI/CD pipelines
Ability to operate independently and lead without authority
Experience working in startup or high-growth environments with rapidly evolving priorities
Strong product intuition and business empathy, with the ability to influence product direction based on field feedback
Strong problem-solving skills and comfort operating in ambiguous, fast-changing environments
Demonstrated ability to independently drive solutions from requirements gathering through deployment and iteration
Proven ability to collaborate cross-functionally across engineering, product, operations, and business teams