Software Engineer

About Glasslake

Glasslake is building the operating system for SAP delivery — the infrastructure layer underneath the most complex and expensive IT projects companies run. SAP implementations move billions of dollars and thousands of consultants, but the knowledge generated in these projects is never captured: it lives in people's heads, disappears when the project ends, and gets rebuilt from scratch on every new engagement.

Glasslake solves this with an agentic orchestration platform that coordinates every phase of SAP transformation, capturing decisions, tests, and context as a byproduct of work already underway — building an organizational memory that accumulates across projects instead of resetting.

We're a team based in San Francisco and São Paulo, moving fast and already deployed with some of the largest SAP integrators in the world, including delaware Consulting, KPMG, and NTT Data. The team comes from Stanford, Meta, Two Sigma, Microsoft, and NASA.

About the Opportunity

Every enterprise runs on business processes: how they fulfill orders, procure materials, close books, manage supply chains. These processes get mapped during ERP implementations, then immediately start drifting. People leave. Documentation goes stale. The reasoning behind critical decisions disappears into tribal memory.

The result: a recurring, multi-million-dollar rediscovery effort every time a business needs to change, whether responding to new regulations, absorbing an acquisition, extending its systems, or optimizing workflows.

Over 75% of enterprise software implementations run over budget or over time. The global ERP services market is worth $250 billion annually. Agentic AI is about to restructure how all of that work gets done, and no tool is built for that transition yet.

The Role

Software Engineers at Glasslake own the outcomes of their code. You'll work on a product that sits inside live enterprise implementations, used by consultants managing multi-million dollar projects under real deadline pressure. The feedback loop is tight, the stakes are high, and the surface area is large.

You'll build across the full stack: data pipelines, LLM integrations, agentic workflows, and the interfaces ERP teams rely on daily in the field. You'll talk directly to customers, sit with the friction they describe, translate it into something buildable, ship it, and own it all the way through deployment and beyond.

You bring strong engineering fundamentals and take best practices seriously. You use AI tooling to move faster without cutting corners, treating it as a force multiplier rather than a shortcut. And while you're a strong individual contributor who can drive a feature from zero to production on your own, you make the people around you better.

What You'll Do

• Ship end to end. Take a feature from an ambiguous customer signal through design, implementation, deployment, and the iteration that follows.

• Build the agentic layer. Design and harden LLM-powered workflows that have to produce trustworthy output on enterprise artifacts, including evaluation, regression testing, and the guardrails around non-deterministic behavior.

• Own the data path. Pipelines and models that ingest and reason about real customer SAP landscapes, with the correctness and auditability that implies.

• Build interfaces consultants actually use in the field, under deadline pressure, on projects where being wrong is expensive.

• Talk to customers directly and turn what they say into what we build.

• Raise the bar. Reviews, standards, and the kind of engineering culture that survives the team tripling.

What We're Looking For

• You have 3+ years of software engineering experience with a track record of shipping features users love.

• You're a generalist and comfortable across the stack (TypeScript, Python, SQL, cloud infrastructure), and you know when to reach for each.

• You've worked on a small team where "software engineer" meant you were also partly the PM, the designer, and the developer.

• You're comfortable talking to customers, extracting what actually matters from what they say, and turning it into software.

• You care about what you build, not just how it's built.

• You're AI native — you use AI tooling in your daily workflow and have opinions about where it helps and where it does not.

Nice to Have

• Experience building LLM-powered features or agentic systems in production.

• Familiarity with enterprise software ecosystems: SAP, Salesforce, ERP and CRM more broadly.

• A portfolio that includes something you built that you are passionate about.

• Founding-engineer or early-startup experience where you owned a product surface with no playbook.

Visa Sponsorship

We sponsor H-1B and O-1 visas for candidates based in the United States.

Why Join Glasslake Now

• Your code runs inside multi-million dollar transformations at the largest SAP integrators in the world, from day one.

• Frontier agentic AI work against a problem space with real economic weight, not a demo.

• Small team, large surface area, direct access to founders and customers.

• Competitive compensation with meaningful equity.