Job description

About Viam Founded by Eliot Horowitz, co-founder and former CTO of MongoDB, Viam is a novel robotics engineering platform that lets you configure, control, and manage robots intuitively and quickly. We’re inspiring a generation of engineers to solve complicated automation problems with our uniquely powerful suite of software tools. We’re a ~100-person company headquartered in New York City. The Engineering Challenge Building software for machines introduces challenges that traditional software systems rarely face. Devices operate in real-world environments, networks are unreliable, and software must interact with hardware, sensors, and real-time data. At Viam, engineers build the platform and tools that make those machines programmable, observable, and manageable at scale. About the Role New York City (Hybrid 3+ days per week in office) We are looking for a hands-on engineering manager to lead our Data/ML team. The role is responsible for developing engineers, driving execution, and making architectural decisions. The Data/ML team owns the infrastructure that moves data from devices to the cloud and makes it usable across the Viam platform. On top of that foundation, the team also owns the ML infrastructure that turns that data into models: training workflows, labeling pipelines, and inference in both cloud and at the edge. The team works in Go and Python with a Svelte frontend, running ML workloads on GKE using TensorFlow, TFLite, and ONNX, with MongoDB Atlas, GCP, and Azure for the data layer. You will report to the VP of Engineering. What You'll Own Lead Engineers at Viam own problems from product design through production and play an active role in shaping how the platform evolves. Lead and develop a team of 5+ engineers: set direction, run planning, ship reliably, and grow the team through coaching, feedback, and performance conversations Write code and ship features alongside your team across the full stack, from backend infrastructure through UI Own the architecture of the data pipeline end to end, from device to cloud, including storage, querying, and the APIs that power the rest of the platform Drive the reliability and performance of ML training and inference infrastructure, from custom training workflows to the services that power auto-labeling and model evaluation Have opinions on what gets built and how users experience it, and bring those into product decisions early Own cross-team problems through to resolution, working closely with Computer Vision, Fleet Management, Mobile, and Solutions Engineering What You Bring We are looking for an experienced engineering manager who remains deeply technical, can develop engineers, and is comfortable setting direction while staying close to the code. Ideally you have: Led engineering teams through hiring, coaching, performance management, and career development Built and scaled backend, platform, or infrastructure systems in production Shipped products across APIs, backend services, and user interfaces Made sound architectural decisions and navigated tradeoffs around scale, reliability, and performance Influenced product and technical direction through strong judgment and execution Drove cross-functional projects from ambiguity to production Worked on distributed systems, data-intensive systems, streaming pipelines, platform infrastructure, or ML infrastructure **Experience with robotics or IoT is not required. How We Work Our culture emphasizes ownership, curiosity, and decisive execution. This space has brand new challenges and we all have an appetite to learn Good work in production beats perfect work in review We know that the best teams help each other succeed through feedback The salary for this role is between $220,000 - 250,000 /year. Your exact offer will vary based on factors, including experience level, skillset, market location, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced, or more senior, than this job description as posted. In these situations, the updated salary range will be communicated to you as a candidate. Full-time Benefits Viam’s base salary range for this role is posted above. In addition to cash compensation, Viam offers a comprehensive Total Rewards package that includes equity grants, health benefits, and more. 100% covered medical/dental/vision insurance plans, commuter benefits 25 days paid vacation and generous holiday observances Free lunch every day that you’re in the office One Medical Membership Citi Bike memberships Monthly wellness stipend to be used for a variety of fitness-related items like gym memberships, fitness classes, fitness equipment, and more Paid parental leave Reproductive Health Benefits, including Fertility Benefits and Abortion Access Travel Benefits Yearly Learning and Development Budget for your own personal learning goals Values: Vision Driven Collaborate Openly Act Decisively Succeed Through Diversity Hold Ourselves Accountable Lead with Curiosity To all recruitment agencies: Viam does not accept unsolicited agency resumes or calls from recruitment agencies or search firms. Please do not forward resumes to our jobs alias or Viam employees. Viam is not responsible for any fees related to unsolicited resumes.

Requirements

Must-haves

New York City (Hybrid 3+ days per week in office)
We are looking for a hands-on engineering manager to lead our Data/ML team. The role is responsible for developing engineers, driving execution, and making architectural decisions.
The team works in Go and Python with a Svelte frontend, running ML workloads on GKE using TensorFlow, TFLite, and ONNX, with MongoDB Atlas, GCP, and Azure for the data layer. You will report to the VP of Engineering.
What You'll Own
Lead Engineers at Viam own problems from product design through production and play an active role in shaping how the platform evolves.
Lead and develop a team of 5+ engineers: set direction, run planning, ship reliably, and grow the team through coaching, feedback, and performance conversations
Write code and ship features alongside your team across the full stack, from backend infrastructure through UI
Own the architecture of the data pipeline end to end, from device to cloud, including storage, querying, and the APIs that power the rest of the platform
Drive the reliability and performance of ML training and inference infrastructure, from custom training workflows to the services that power auto-labeling and model evaluation
Have opinions on what gets built and how users experience it, and bring those into product decisions early
Own cross-team problems through to resolution, working closely with Computer Vision, Fleet Management, Mobile, and Solutions Engineering
We are looking for an experienced engineering manager who remains deeply technical, can develop engineers, and is comfortable setting direction while staying close to the code. Ideally you have:
Led engineering teams through hiring, coaching, performance management, and career development
Built and scaled backend, platform, or infrastructure systems in production
Shipped products across APIs, backend services, and user interfaces
Made sound architectural decisions and navigated tradeoffs around scale, reliability, and performance
Influenced product and technical direction through strong judgment and execution
Drove cross-functional projects from ambiguity to production
Worked on distributed systems, data-intensive systems, streaming pipelines, platform infrastructure, or ML infrastructure
Experience with robotics or IoT is not required.
Our culture emphasizes ownership, curiosity, and decisive execution.
This space has brand new challenges and we all have an appetite to learn
Good work in production beats perfect work in review
We know that the best teams help each other succeed through feedback

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlgopythonsveltegcpazurerest

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Parental Leave

Wellness