Engineering Manager - Product & Platform

Why this role matters

Arize AX is the AI & Agent Engineering Platform – one place to develop, evaluate, and operate AI at scale. From 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.

• 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 OpenTelemetry or OpenInference, or contributing to OSS.
• Background in ML/LLM infrastructure, observability, or evaluation 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 package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

More About Arize

Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.

Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c

Diversity & Inclusion @ Arize

Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture

• Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
• Culturally conscious events such as LGBTQ trivia during pride month
• We have an active Lady Arizers subgroup