Senior Software Engineer - Solutions developing complex integrations on Suger’s platform for B2B software companies. Collaborating with engineering teams and customers to optimize workflows and support AI-powered automation.
Responsibilities
Work directly with customers to understand technical requirements and map workflows to Suger’s APIs, integrations, and AI-powered automation.
Lead technical discovery, demos, walkthroughs, and AI-enabled proof-of-concepts, helping customers understand how intelligent workflows fit into their systems.
Troubleshoot API issues, investigate logs, validate configurations, and support escalations across both traditional services and AI-backed components.
Collaborate with the Engineering team to reproduce issues, debug complex systems, and ensure clear technical handoffs.
Partner with Product and Customer Success to surface customer needs, especially around AI reliability, explainability, and automation, and influence the roadmap.
Create and maintain technical documentation, playbooks, and sample code for APIs, integrations, and AI-powered workflows.
Translate complex technical and AI-related concepts for both technical and non-technical audiences.
Support the Sales Team by aligning on technical details throughout the deal cycle, including positioning AI-driven value in customer conversations.
Requirements
2+ years in a Software Engineer, Solutions Engineer, Solutions Architect, or similar technical customer-facing role.
Ability to read and write code (JavaScript, Python, Go preferred, or similar).
Experience debugging backend systems, APIs, or cloud-based applications.
Strong communication skills with professional English proficiency, and the ability to explain technical problems and solutions clearly and pragmatically.
Comfort working directly with enterprise engineering teams and business stakeholders.
Experience supporting both B2B pre-sales and post-sales technical activities.
Interest in or experience with AI-enabled systems, such as automation platforms, AI agents, or LLM-backed services (hands-on ML experience not required).
Bonus: exposure to cloud marketplaces, SaaS billing, metering, revenue platforms, or workflow automation systems.
Benefits
Competitive compensation and equity plan.
Full healthcare benefits - extended health care, dental, vision, and life insurance.
Monthly office stipends for lunch and commute-related benefits.
Fast-moving, flat org structure with real product-market fit and big ambitions where you’ll ship quickly and see direct customer impact.
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