GTM Engineer

Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO—systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines.

We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises—to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised).

You'll be the engineering owner of customer success. This means building the internal tools that help our sales team close deals, setting up customer modules and data pipelines, and being directly responsible for whether prospects convert and customers expand. You're the technical DRI for making customers successful with Sapien.

This is a customer-facing engineering role where you'll split time between building internal GTM tooling and hands-on customer work. You'll have full-stack skills but use them in service of customer outcomes, not just product features.

• Build internal tools that accelerate our sales motion. Create tools for generating customer demos, automated systems for onboarding new customers, and interfaces that help the sales team understand technical blockers.

• Own customer module setup from technical sale through production. Upload and validate customer data, configure workflows for their specific business processes, build custom integrations when needed, and ensure the platform works correctly for their use case.

• Build and maintain integrations with customer systems. Connect to ERPs, CRMs, accounting software, and proprietary internal tools. Handle authentication, data syncing, schema mapping, and edge cases that come from integrating with messy real-world systems.

• Be the DRI for customer performance. Monitor accuracy and reliability for each customer, debug issues when they arise, optimize slow queries or workflows, and ensure customers are seeing measurable value from the platform.

• Design product features that turn pilots into successful deployments. You'll see firsthand what's blocking customer success and work with the product team to prioritize features that unlock expansion, prevent churn, and make the platform work for more use cases.

• Identify patterns across customers that should become platform capabilities. Turn one-off integrations into reusable connectors, custom scripts into product features, and manual setup work into automated onboarding flows. Make customer operations scalable.

• Build tooling that reduces friction in the customer journey. Create systems for data validation, integration testing, module templates, knowledge management, and monitoring so we can serve more customers.

• Full-stack engineering experience with React, TypeScript, Python, and SQL. You can build tools quickly and translate customer problems into production solutions.

• Customer-facing experience or strong interest in working directly with customers. You're comfortable on calls, can explain technical concepts to non-technical people, and enjoy problem-solving with users.

• Bias toward pragmatic solutions over perfect architecture. Shipping something that works beats over-engineering.

• Ownership mentality for customer outcomes. You care whether customers succeed, not just whether your code works.

• Ability to operate with ambiguity. Customer problems are messy and unique. You can assess what's needed, figure out the right solution, and execute without detailed specs.

• Adaptability: You switch contexts constantly. One hour you're on a customer call, the next you're building foundational tooling for customer onboarding. You handle the variety well and bring the same technical rigor whether you're building customer-facing tools or solving one-off data issues.

• Ownership: You're responsible for customer success. If a customer isn't getting value, you don't wait for someone else to fix it. You dig in, figure out what's wrong, and make it right.

• Opinionated: You develop strong views on what customers actually need versus what they ask for. You push back on requests that won't drive value and propose better solutions based on what you've seen work.

• Mission-driven: You're energized by making customers successful with AI. You connect your technical work directly to whether customers renew and expand, and you care about their business outcomes.

• Collaborative excellence: You're the bridge between customers and the product team. You share insights about customer needs, help prioritize features that matter, and make the whole company better at serving customers.