Alternative Payments
Applied AI Lead
New York
Work authorization required$150k-$200kDetected 76 days ago
LLMsRAGAgentic AICommunicationCollaborationProblem SolvingAccounts Payable
About the role
- Starting with MSPs, we've spent five years perfecting accounts receivable, and we're now expanding into accounts payable, AI-powered analytics, and beyond.
- We believe the best solutions come from diverse perspectives, deep collaboration, and a shared obsession with customer impact.
- This role is available to candidates eligible to work in the US, hybrid in New York.
Responsibilities
- partner with functional leaders to identify high-leverage areas where AI tooling can dramatically reduce effort, increase quality, or accelerate timelines
- Own context engineering, prompt design, tool definitions, eval harnesses, and human-in-the-loop checkpoints.
- Build and maintain reusable skills, sub-agents, and MCP integrations that compound across functions
- Own AP's internal AI tool stack: model selection, vendor evaluation, build-vs-buy decisions, license utilization, data handling policies, and access controls.
- Support the biz-ops and operational engineering team in building AI-native dashboards and workflows that are architected for scale.
- Collaborate with the Head of Data to ensure data infrastructure supports AI consumption patterns and advocate for what needs to change to unlock specific product bets.
- Support product organization on AI feature implementation: define context structure, retrieval strategy, and how agents interact with platform data.
- Act as the operational owner of AI at the business; partner with functional leaders to identify high-leverage areas where AI tooling can dramatically reduce effort, increase quality, or accelerate timelines
- MCP experience: you've built MCP servers, integrated them into agent workflows, and understand the design space.
- A proactive mindset with the ability to drive projects independently in a high-ambiguity, fast-moving environment.
Requirements
- Production prompt engineering and context engineering experience: You can articulate the trade-offs between long context, RAG, fine-tuning, and tool use, and have made these calls before.
- Strong understanding of AI security: prompt injection, access control in agentic systems, data exposure risks, and how to harden LLM-adjacent infrastructure.
Skills
- Propose and help establish AI best practices, tooling standards, and evaluation frameworks across both product and operational contexts.
- Applying to Alternative Payments
Compensation
- Competitive salary tailored to your experience, skills, and expertise.
- The base salary for this role is $150K-$200K.
Benefits
- Within the range, individual pay is determined by factors including relevant skills, experience, education/training.
- Equity opportunities so you can share in our growth and success.
- Unlimited PTO and flexibility when you need it the most.
- Yearly learning & development stipend to help you grow and do your best work.
- We believe in shared learning, open communication, and building each other up.
Company info
- closing the loop on money movement and laying the foundation for a platform that will reshape how service businesses operate financially.
- We're growing fast, thinking big, and building a global team that wants to be part of something that lasts.
- If you're energized by real problems, real customers, and real impact, we want to hear from you!
- As a scaling start-up, there's a lot to be done and initiative is key.
- When one of us grows, we all do.
- Want to see what we're actually building?
- We made a short video so you don't have to take our word for it.
- Get a glimpse of our product, our people, and the problems we're solving, then decide if it sounds like your kind of place.
- We're looking for candidates who are ready to step in and make an impact from day one.
Equal opportunity
- If you require reasonable accommodation during the hiring process, please let us know upon being selected to interview.
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