Engineering Manager, Internal Platform

Posted 15 Days Ago
Be an Early Applicant
2 Locations
Hybrid
240K-260K Annually
Senior level
Software
The Role
The Engineering Manager will lead the Platform Team to enhance internal tools, focusing on productivity and collaboration. Key responsibilities include team leadership, technical guidance, and cross-functional partnership to drive platform improvements.
Summary Generated by Built In

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

As an Engineering Manager for Baseten's Platform Team, you will lead and grow the team responsible for building internal systems to reduce low leverage work for the entire engineering organization. While our product delivers infrastructure for AI development, your team's focus is on creating robust internal systems that amplify productivity, collaboration, and quality across all engineering teams through exceptional tooling, efficient workflows, AI enablement, and world-class development environments.

You are a people-first leader who also brings deep technical conviction. You care about elegant solutions: streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries. You know how to build and inspire a team that delivers them. If you thrive at the intersection of technical craft and people leadership, you'll find this role deeply rewarding.


RESPONSIBILITIES

Team Leadership & Culture

  • Recruit, hire, and develop a high-performing team of platform engineers.

  • Foster a culture of technical excellence, psychological safety, and continuous improvement.

  • Provide regular coaching, feedback, and career development support to your direct reports.

  • Partner with tech leads and engineering leadership to define the long-term vision and roadmap for platform infrastructure.

Technical Direction

  • Guide the team in creating diverse tooling tailored to the needs of different engineering teams.

  • Oversee the enhancement of monorepo capabilities and development of project templates for consistency and efficiency.

  • Drive the design and implementation of shared libraries focused on observability.

  • Champion improvements to the speed, reliability, and comprehensiveness of CI pipelines.

  • Provide a strong platform for high-quality agentic development across the organization.

  • Ensure the team delivers innovative solutions that improve visibility in continuous delivery (CD) processes.

Cross-Functional Partnership

  • Act as the primary advocate for platform engineering across the organization, ensuring teams have the resources and tools to stay productive.

  • Collaborate with product and engineering stakeholders to prioritize platform investments based on business impact.

  • Communicate team progress, priorities, and technical trade-offs clearly to leadership.


REQUIREMENTS

  • Proven experience managing and growing engineering teams, ideally in a platform, infrastructure, or developer experience context.

  • Strong technical background in Go and/or Python, with the ability to engage credibly in code reviews and architectural discussions.

  • Hands-on experience with Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes).

  • Experience managing and working within large monorepos; bonus points for familiarity with tools such as Bazel, Pants, Moon, or Turborepo.

  • Advanced understanding of CI/CD concepts and a track record of improving developer experience at scale.

  • Excellent developer tool culture with a focus on best practices; bonus points if you or your team has contributed to open-source developer tooling.

  • Strong written and verbal communication skills, with the ability to influence without authority across teams.

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Skills Required

  • Proven experience managing engineering teams in platform or infrastructure contexts
  • Strong technical background in Go and/or Python
  • Hands-on experience with Kubernetes/Docker tooling
  • Experience managing large monorepos
  • Advanced understanding of CI/CD concepts
  • Strong written and verbal communication skills
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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently. Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models. We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic. Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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