Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $230K – $385K, with generous equity, performance-related bonuses, and the following benefits:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the Team
The Finance & Supply Chain Engineering organization includes two complementary teams: Software Engineering and Data Engineering. 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.
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.
In this role, you will:
- Partner with the Software Engineering and Data Engineering managers as a peer technical leader
- Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives
- 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
You might thrive in this role if you:
- Have significant professional engineering experience with sustained staff-level or equivalent impact as an individual contributor
- Can reason across a full-stack application,from user experience and client architecture through backend services, integrations, authorization, and durable state
- Have strong data-engineering judgment across analytical modeling, batch or streaming pipelines, orchestration, lineage, quality, scale, and downstream data contracts
- Have personally designed, built, shipped, and operated consequential systems, and can go from architecture to implementation details without relying on positional authority
- Have led important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership
- Care deeply about correctness, security, data quality, auditability, operational excellence, and measurable outcomes
- Communicate clearly 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