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About the Role

As an Engineering Manager, you'll play a key role in leading and scaling the people and technology powering our autonomous scientific discovery platform. Your primary focus will be in leading our cloud team, conquering the complexity of "bring your own cloud" engagements for enterprise clients. You will enable Edison to scale to the largest research organizations in the world, influencing architecture, operations, and growth of our cloud deployment product, while mentoring engineers.

Responsibilities

Manage and develop the existing 5 person cloud team owning the mentorship, career development, and hiring for this critical organizational function.
Own client interactions surrounding deployments and onboarding with our growing portfolio of enterprise clients.
Partner with our forward deployed engineering team to set delivery timelines and align on requirements for inflight engagements.
Lead the team to develop a world class strategy around secure bring your own cloud (BYOC) deployments.
Diagnose and solve bottlenecks in our BYOC process to streamline operations.
Develop a technical and people strategy for scaling up our engagement capacity.
Own technical decision making surrounding our BYOC product.
Manage cross-functional communication and planning between engineering teams and stakeholders.

Requirements

4+ years of experience managing an engineering team and leading cross-functional initiatives.
Prior experience working with clients in an enterprise setting.
Proficiency in at least one systems or backend language for operator development and infrastructure tooling.
Deep familiarity with cloud products (AWS/GCP), security, and deployment operations.
Strong understanding of application network architecture including VPCs, DNS, secrets, proxies, etc.
Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or Crossplane) and GitOps workflows.
Experience with AI applications or scientific computing solutions.
Prior experience in startups or small teams with significant architectural ownership and ambiguity.
Experience scaling systems, teams, or platforms through periods of rapid growth.

Skills

AWS/GCP
Security
Deployment operations
Application network architecture
VPCs
DNS
Secrets
Proxies
Infrastructure-as-code tools
Terraform
Pulumi
Crossplane
GitOps workflows
AI applications
Scientific computing solutions

Location

San Francisco

Work Type

On-site

Experience Level

4+ years of experience managing an engineering team

Salary/Compensations

$250,000 - $350,000

Benefits

Competitive salary and equity
Full healthcare coverage; we pay 100% of premiums for you and your dependents
Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
12 weeks of paid parental leave for maternity, paternity, and adoption
Pet care support with a yearly employer-funded stipend for your animal companions
Commuter benefits so you can pay for transit and parking with pre-tax dollars
401(k) company matching
$300 health and wellness benefit quarterly
Lunch is on us every day you're in the office, and dinner is on us when you're working late
Regular team off-sites and company events

About the Company

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines.
We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

Equal Opportunity

Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.