Engineering Manager, Data Platform
Mission, Johnson County, Kansas, 66201, USA
Listed on 2026-02-13
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Software Development
AI Engineer, Software Engineer
Engineering Manager - Product & Platform Location
Remote
StatusFull time
DepartmentAI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in.
Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like , Uber, Siemens, and Pepsi Co leverage Arize to deliver AI that works.
Why this role mattersArize AX is the AI & Agent Engineering Platform – one place to develop, evaluate, and operate AI m tracing and evaluators to experiments and monitoring, we help AI teams close the loop between development and production.
The platform is already running at real scale – trillions of spans per month, tens of millions of evals, and millions of OSS downloads – and adoption is only accelerating. To keep up, we need engineering leaders who can move fluidly between building product-facing experiences and scaling backend systems.
This is not a narrow “frontend EM” or “infra EM” role. It’s a hybrid – product-engineering meets backend/infrastructure – for someone who enjoys solving hard technical problems while also growing people and driving projects.
What you’ll do- Contribute as an engineer on complex product and infrastructure challenges – building features that customers touch and scaling the systems behind them. One week you may be reviewing designs for a new workflow in the UI, the next digging into performance bottlenecks in the query layer.
- Lead a team of engineers and tech leads – hiring, mentoring, and creating the conditions for them to do the best work of their careers.
- Drive projects end-to-end – ensuring scope is clear, trade-offs are well understood, and delivery is predictable.
- Work cross-functionally with Product and Design to set direction, and with Solutions and Support to make sure we’re solving the real problems our customers face in production.
- Your team ships impactful features and infrastructure improvements reliably – without burning out.
- Systems and workflows you touch become more scalable, reliable, and maintainable.
- Engineers you manage are growing into broader scope and leadership.
- Product, Design, Solutions, and Support see you as a trusted partner who helps turn customer needs into product reality.
- You’ve been both an IC and a manager – you know what great engineering looks like at the system and code level, and you know how to build and lead teams.
- Strength across both product/fullstack engineering and backend/infrastructure – comfortable moving between customer-facing workflows and the systems that power them.
- Experience balancing people leadership, project execution, and technical depth.
- Clear, direct communicator who builds trust across teams.
- Prior founder or early-stage builder – comfortable creating clarity in ambiguity and wearing multiple hats.
- Experience with open standards like Open Telemetry or Open Inference, or contributing to OSS.
- Background in ML/LLM infrastructure, observability, or election tools.
- A track record of building developer platforms or enterprise products that engineers love to use.
- Mission – help teams build AI that actually works in the real world.
- Scale – systems operating at trillions of spans and tens of millions of evals per month.
- Growth – join at an inflection point and help shape both the product and the team.
The estimated annual salary and variable compensation for this role is between $180,000 - $250,000 USD, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit…
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