About the Role
Carestream Dental builds the software that dental and oral surgery practices use
to run their day, from the schedule and the patient chart to the ledger and the
claim. Sensei Cloud is our cloud practice management platform and the center of
our product strategy. Practices across the United States and the United Kingdom
work in it from the start of the day to the end, and more join every month as
they move from our established desktop products.
We are hiring a Senior Engineering Manager to lead the engineering teams that
build Sensei Cloud. Reporting to the Chief Technology Officer, you will be
responsible for the quality and reliability of the platform, for predictable
delivery, and for the health and growth of the engineers who build it.
This is a growth investment. As Sensei Cloud becomes the primary product for
more of our customers, we are raising the engineering bar to match: stronger
automated testing, faster and safer releases, deeper integration with our
partner ecosystem, and a modern, AI assisted way of working for the teams. You
will lead that work.
Why You Might Want This Job
This role suits an engineering leader who wants to run a cloud product line with
real scale and a clear mandate to invest in it. The platform is live, the
customer base is growing, the roadmap is ambitious, and the teams want a leader
who stays close to the work. You will report to the CTO and work alongside
architects who own the platform design and Product Owners who own the roadmap.
What You’ll Do
Lead, coach and grow the Sensei Cloud engineering teams. This includes line
management, weekly one to ones, clear goals, honest performance
conversations, and careful hiring and onboarding.
Name and develop a Team Lead in each team, and run the teams through them.
Set and uphold the quality and reliability standards for the platform,
including release criteria measured from production telemetry.
Build out automated regression coverage across the clinical, financial,
imaging and reporting paths, with performance testing on data access changes
and validation at every integration boundary.
Own predictable delivery, with commitments Product and the executive team can
plan on, risk raised early with options, and a clear account of outcomes.
Partner with Product on the Sensei Cloud roadmap, including usability work,
in product feedback, workflow enhancements and new integrations.
Run the operating discipline. Azure DevOps is the single source of truth,
severe issues are owned round the clock between the US and UK, and backlogs
are ready before sprints start.
Stay technical. Take part in design reviews, lead incident response, and
partner with our architects on platform direction.
Keep a working build of the product and contribute changes through the normal
review process, using AI assisted tools such as Claude Code, so that you lead
the teams through the change in how software is built from your own
experience of it.
Set the working agreement for AI assisted engineering on your teams: what can
be delegated to an agent, what a person must review, how generated code is
tested, and how security is handled. Measure adoption and its effect on
quality.
Manage a distributed organization across the United States, the United
Kingdom and partner teams in Latin America and Europe, holding employees and
partners to the same expectations with the same support.
What You’ll Bring
You have led engineering for a multi tenant cloud SaaS product in production
and lived with the consequences of earlier decisions. Azure and .NET
experience is preferred.
You have raised the quality and reliability of a product with measurable
results, and can describe which measures moved and how.
You have managed managers or team leads across time zones, with vendor or
partner engineers embedded in your teams.
You are credible in a design review with senior engineers and close enough to
the code to recognize when an estimate or a design is wrong.
You can set up, build and run a modern .NET and Azure codebase, and you have
shipped changes to a production system in the last year using AI assisted
development tools. We will ask you to show us.
You have introduced AI assisted engineering to a team, with review, testing
and security guardrails, and can describe what changed as a result.
You have run production incidents and owned the process changes that
followed.
You can explain trade offs to product and executive stakeholders in the terms
they use to make decisions, and you push back when a commitment is not
realistic.
You know what to decide yourself, what to delegate, and what to escalate.
Nice to Have
Dental or wider healthcare software, including scheduling, charting, claims
and imaging.
Regulated data, including HIPAA and UK GDPR, in design and operations.
A product estate that spans cloud and desktop software, and the migration
between them.
How We Work
Azure DevOps is our single source of truth. If work is happening, it is
recorded there.
Severe issues are owned round the clock and handed off explicitly between the
US and UK teams.
Team Leads direct the day to day technical work, managers own the people and
the delivery, and architects own the platform design.
Full time employees and partner engineers onboard the same way and are held
to the same standard.
We are adopting AI assisted engineering, with Claude Code in daily use, and
we measure both its adoption and its effect on quality. Leaders are expected
to use the tools themselves.
Education
Bachelor's degree in Computer Science, Computer Engineering or Software
Engineering, or equivalent practical experience.
Location & Travel
United States, remote, with periodic visits to our Atlanta, Georgia office and
occasional travel between the US and UK development teams.