Customer-Facing SAP Engineer – ABAP, BTP & AI | Remote

United States | $100,000–$275,000/year + Equity | Full-time

What happens when you combine deep SAP expertise with AI that can fundamentally change how enterprise SAP teams work? This is your opportunity to help make that happen. You'll work directly with strategic enterprise customers, leading technical engagements that demonstrate how an AI-powered platform can accelerate SAP development, improve productivity, and transform implementation workflows.

Compensation and Benefits

• Base salary: $100,000–$275,000, depending on experience and fit.

• Meaningful equity participation.

• Additional cash and equity opportunities for top performers.

• Medical, dental, and vision coverage.

Join an early-stage, well-funded AI company building an advanced platform for SAP, the enterprise system that powers some of the world's largest businesses. Its customers are already reporting up to 3x productivity improvements across their SAP teams.

The company was founded by AI researchers and SAP pioneers, including a co-inventor of SAP HANA, and is backed by $40 million in funding from leading investors and SAP's venture arm. You'll work alongside a small, highly technical team with the opportunity to influence product direction, contribute ideas, and help shape how AI is applied to enterprise SAP environments.

What You'll Do

• Lead proofs of value (POVs) and platform deployments for strategic enterprise customers, from selecting use cases to configuring the platform, training teams, and demonstrating measurable results.

• Build strong technical relationships with SAP architects, development leads, product owners, and customer executives.

• Work directly with customer developers on their code, helping them use the platform effectively.

• Analyze ABAP code, traces, and system behavior to investigate technical issues, resolve problems, or communicate findings clearly to the engineering team.

• Demonstrate the platform's capabilities and communicate its business and technical value to customers.

• Identify customer challenges, uncover new use cases, and translate feedback into product improvements.

• Collaborate directly with the CTO and co-founder on platform capabilities and development.

• Travel approximately 20% to meet strategic customers and support onsite engagements, particularly during proofs of value.

What You'll Need

• At least 5 years of hands-on SAP technical experience through consulting, in-house development, or independent practice.

• Strong proficiency in SAP ABAP and SAP BTP.

• Hands-on experience with S/4HANA migrations or Clean Core programs.

• Practical experience using AI coding agents and frontier AI models, with a clear understanding of their current capabilities and limitations.

• Strong communication skills, including the ability to discuss complex technical matters with developers and present ideas and priorities to executive stakeholders.

• Demonstrated customer-facing experience, with the ability to lead technical discussions, build relationships, and guide customers through engagements.

• An ownership mindset, with the initiative to identify problems, explore solutions, contribute ideas, and take responsibility for customer outcomes.

• A collaborative and personable approach to working with customers and colleagues.

Preferred Experience

• Experience working in a startup or small engineering firm.

• Personal AI or agentic AI projects.

• Public technical contributions, including writing, speaking engagements, or open-source projects.

Location and Travel

This is a remote opportunity open to candidates anywhere in the United States. Relocation is not required. An office is available in New York City for employees who prefer working onsite.

The role involves approximately 20% travel to customer locations across California, Texas, the Midwest, and the Northeast. Candidates must be comfortable meeting customers onsite as needed.

Interview Process

1. Two technical conversations with customer-facing engineers.

2. A practical work trial lasting a few days to two weeks.

3. A conversation with the CTO.

4. Reference checks.