Staff Software Engineer, Data Management

Amplitude•San Francisco, CA

8d•Hybrid

About The Position

The Data Management team is building the Trust Engine that powers the entire product. We are moving beyond simple data entry to architecting a self-healing, intelligent data ecosystem. As a member of the team, you will drive the technical vision for how customers define, govern, and trust their data at massive scale. You will design the system that governs the data lifecycle, building scalable systems responsible for complex ingestion planning, semantic enrichment, and data observability. You will lead the charge in transforming data governance from a manual chore into an automated, AI-driven infrastructure that powers our 'Ask AI' and Data Assistant capabilities. You are solving the hardest problem in analytics: proving that the data is right. The team is fast moving and you will be expected to iterate quickly and own, drive and achieve alignment on a variety of projects ranging from new product features to best practices and scalability of our codebase & infrastructure.

Requirements

Staff‑level impact in backend engineering.
Track record of owning and delivering cross‑team systems in distributed, microservices architectures, including high‑throughput ingestion and caching that balances speed and correctness.
Strong backend proficiency.
Expertise in one or more of: JavaScript/TypeScript/Node.js and/or Python , plus production experience with AWS and infrastructure‑as‑code (e.g., Terraform, CDK).
Operational ownership.
Experience defining/measuring SLOs , building robust CI/CD pipelines, and applying observability (metrics/logs/traces) and automated testing to keep systems reliable at scale.
Customer focus.
Ability to translate customer and account team signals into technical strategy and sequenced delivery, validating outcomes with data—not just intent.
Engineering principles in action.
Demonstrated Bias for Action , Impact > Effort prioritization, deep Technical Ownership , commitment to Customer Focus , and investment in Personal & Team Development .
Excellent communication and alignment skills.
Comfortable facilitating decisions across multiple stakeholders and creating crisp, shared understanding.

Nice To Haves

Domain experience in event analytics, data governance/taxonomy, metadata systems, RBAC/privacy, experimentation, or AI‑assisted automation.

Responsibilities

Drive business impact end‑to‑end.
Own delivery of cross‑team initiatives that measurably improve data quality, reliability, and developer velocity—scoping MVPs, sequencing work, and validating with real signals.
Create clarity and shape strategy.
Turn ambiguous problems into actionable plans; define technical direction, standards, and reusable tools that help multiple teams ship faster with confidence.
Uphold operational excellence.
Define and raise SLOs for services that power the data management experience; own instrumentation, alerting, incident response, and continuous improvement.
Scale systems and performance.
Lead efforts to improve throughput for ingestion and governance workflows, reduce latency with the right caching patterns, and harden critical paths.
Build the foundations for trusted data.
Evolve platform capabilities such as a shared data health evaluation framework and APIs , event/property observability (anomalies, schema drift), safe clean‑up workflows, and metadata ingestion —often in partnership with AI foundations, Pipeline/Query, and Go-to-market teams.
Partner across functions.
Work closely with Product, Design, and other engineering teams (e.g., Analytics, Experiment, Ingestion/Query) and engage with customers and account teams to ground decisions in real needs and outcomes.
Mentor and multiply.
Raise the bar through design reviews, thoughtful code reviews, and coaching helping other engineers grow in judgment, systems thinking, and execution.
Champion pragmatic delivery.
Advocate for iterative milestones, canary/flagged rollouts, and data‑driven experimentation that balance speed with sustainability

Benefits

Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
Flexible time off, paid holidays, and more
Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), home office equipment (annual), and much more
Excellent Parental benefits including: 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy Sessions and high quality physician office experience via One Medical membership (select U.S. locations only)
Employee Stock Purchase Program (ESPP)

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