Tech Lead, Finance & Supply Chain Engineering

About the Team

The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross-team partnerships across Engineering, Applications, Finance, and Supply Chain.

About the Role

We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate.

Responsibilities

• Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments.
• Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone.
• Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership.
• Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership.
• Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement.
• Work across backend, full-stack, data, and big-data systems, making sound boundary decisions and bringing the right domain experts into the design.
• Partner deeply with Engineering, Applications, Product, Finance, Supply Chain, Security, and other stakeholders to translate ambiguous needs into durable technical systems.
• Raise the technical capability of both teams through design reviews, code reviews, mentoring, written guidance, and reusable reference implementations.
• Protect team autonomy: focus involvement on consequential decisions, clarify principles and tradeoffs, and avoid becoming a required approver for routine or reversible work.

Qualifications

• Significant professional engineering experience with sustained staff-level or equivalent impact as an individual contributor; prior people management is not required, but a plus.
• Ability to reason across a full-stack application—from user experience and client architecture through backend services, integrations, authorization, and durable state.
• Strong data-engineering judgment across analytical modeling, batch or streaming pipelines, orchestration, lineage, quality, scale, and downstream data contracts.
• Experience personally designing, building, shipping, and operating consequential systems, and can go from architecture to implementation details without relying on positional authority.
• Proven ability to lead important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership.
• Deep care for correctness, security, data quality, auditability, operational excellence, and measurable outcomes.
• Clear communication with engineers, managers, and non-technical partners; lead with context and principles rather than control.

Nice to Have

• Experience building internal products, developer platforms, workflow systems, or analytics platforms used across multiple teams.
• Experience with LLM applications, durable agents, AI evaluations, plugins, MCPs, or measurement of AI-enabled engineering outcomes.
• Experience in Finance, Supply Chain, accounting, procurement, ERP, or another domain where controls, reconciliation, and traceability matter.

Pay

Compensation Range: $230K - $385K