СШАSenior Staff Technical Program Manager, Cloud Engineering Operations
3 нед. назад
СШАLeadOnsite
kubernetes
Lead and manage technical programs for cloud engineering operations focused on AI infrastructure at .
О компании
- 's Cloud Engineering organization is 380 people today and hiring toward 550. Cloud Infrastructure is the layer everything else runs on — the compute, storage, and networking that turn racks of GPUs into a cloud, plus Managed Kubernetes, the product customers use to run containers against them.
- At 380 people, cross-team execution still works because a handful of people hold the whole picture in their heads. At 550 it does not. This role exists to replace that with an operating model.
- You'll own how Cloud Infrastructure executes: how priorities get set, how dependencies get unblocked, how work gets tracked, and how leadership sees the truth without having to ask. You'll build it inside Cloud Infrastructure first — one org, as a design partner, close to the work — and then take what holds up and drive adoption across the rest of Cloud Engineering.
- The ideal candidate has a technical background (software engineering, TPM, or technical product in an infrastructure context) and enough fluency in distributed systems to hold engineering teams to a shared definition of done without needing it translated. They embody servant leadership and full ownership, taking vague directives with complete autonomy to tactfully collaborate with cross-functional partners and deliver outcomes.
Требования
- 10+ years in technical program management, software engineering, or a technical product role, close enough to production systems that you can read a design doc and know which dependency is the real risk.
- A track record driving multi-team technical initiatives to committed dates in an infrastructure, cloud, or platform organization — not coordinating them, driving them.
- Evidence you've built a process rather than administered one: you designed an operating cadence or planning model, proved it in one place, and got other teams to adopt it.
- You unblock without formal authority. Engineering leads respond to you because you're precise about what you need, why, and by when, and because you follow through.
- Real fluency with issue tracking at scale. You've driven Jira adoption or an equivalent migration where the hard part was behavior change, not configuration.
- You can turn messy, multi-source data into a clear picture of execution health, and you'd rather build the query than request the report.
- Comfort with ambiguity. You'll start with incomplete documentation, informal processes, and major initiatives already in flight.
- Excellent written communication. A large share of this job is a single message that makes thirty engineers do the right thing without a meeting.
- Scrappy, low-ego, high-drive. You'll chase the one loose thread yourself, and you'll also redesign the process that produced it.
- Comfortable taking ambiguous, high-level directives and operating with full autonomy to tactfully align cross-functional partners and drive results.
Будет плюсом
- Time inside AWS, GCP, Azure, CoreWeave, Lambda Labs, or a similar cloud provider.
- Hands-on familiarity with Kubernetes, and with operating-system or distributed-systems work at the infrastructure layer.
- Background in AI/ML infrastructure or large-scale GPU fleets.
- Experience running an operating-model or planning-process rollout across multiple organizations where you drove measurable adoption.
- Working knowledge of Jira automation, Confluence, Grafana, or Sigma.
- Appetite to grow this into a function and manage a small team as the programs that fan out from it find owners.
Условия
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location
- Compensation will be paid in the range of up to $230,000 - $280,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Другое
- is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join , you join a team that is building the future, faster.
- We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
- We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at .
- Own the view of engineering priorities across Cloud Infrastructure: what each team is committed to this quarter, what's actually moving, and where the plan and reality have diverged.
- Coordinate and unblock teams on major initiatives spanning compute, storage, networking, and Managed Kubernetes. When a dependency stalls, you're the one who gets it moving, not the one who documents that it stalled.
- Drive initiatives to committed dates, and surface slips early enough that leadership can act on them rather than absorb them.
- Measure time-to-unblock on cross-team dependencies and drive it down. If it can't be measured today, that's the first problem to solve.
- Run the Cloud Infrastructure staff meeting: agenda, pre-work, decisions captured, actions closed. The meeting should produce decisions, not a readout.
- Partner with the Cloud Product and Technical Product Management org on planning cycles so each cycle opens with pre-work complete and priorities pre-negotiated, and functions as a decision forum rather than a discovery exercise.
- Partner with the Chief of Staff organization and its program managers on headcount planning, the operating rhythm of the org, and strategic direction. You own execution inside the org; they own the org-wide layer. Keep that seam clean.
- Produce the recurring leadership updates and executive readouts on Cloud Infrastructure execution health.
- Take on the cross-cutting problems that don't have a natural single owner and drive them either to an outcome or to a named owner. No problem sits unclaimed for a quarter.
- Support the Chief of Staff on strategic projects that span Cloud Infrastructure and the rest of Cloud Engineering.
- Drive adoption of Jira and issue-tracking discipline across Cloud Infrastructure until Jira is the source of truth teams actually work from. Measured by coverage and hygiene, not by mandate.
- Own the Jira, Confluence, and dashboard artifacts these programs run on: structure, access, hygiene, and automation. Treat every recurring chase as a defect and replace it with a form, a script, a query, or a scheduled reminder.
- Work toward a view of Cloud Infrastructure execution health that leaders can read at a glance without a human assembling it first.