---
title: 'Staff Technical Program Manager - IT at Lambda'
canonical: 'https://feeny.ai/job/staff-technical-program-manager-it-lambda-san-francisco-pmhsapa17g9d'
type: 'job'
last_seen: '2026-10-11'
---

# Staff Technical Program Manager - IT at Lambda

- **Company:** Lambda
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-21
- **Last confirmed live:** 2026-10-11
- **Apply:** https://jobs.ashbyhq.com/lambda/97c2c56b-5088-48c2-88c2-cd6702ebdb67

## Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

If you'd like to build the world's best AI cloud, join us.

*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday

Business Technology at Lambda builds and scales the internal systems that power our business. We partner across the company with Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope spans enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT. We are hiring an IT Technical Program Manager to run the programs that make this portfolio move. You will be the first dedicated program management hire in Business Technology, building our portfolio operating model from the ground up: intake, prioritization, delivery cadence, and change management discipline. Business Technology is delivering a business transformation with roughly ten new enterprise systems this year and a growing integration and data footprint. You will drive cross-functional programs from kickoff through go-live and hypercare, and be the connective tissue between our five pillars: Finance Systems, GTM Systems, Data Platform and Analytics, IT Operations, and People Technology. This is a hands-on delivery role for someone who runs programs with rigor, communicates crisply to executives, and holds vendors, partners, and internal teams accountable to dates. You will personally carry our largest programs while building the lightweight structures that make every subsequent program faster.

## What You'll Do

- Program Delivery: Own end-to-end program management for major system implementations across ERP, procurement, EPM, HRIS, treasury, and identity, coordinating internal teams, implementation partners, and vendors from contract signature through cutover, hypercare, and stabilization.
- Roadmap Operations: Run the Business Technology roadmap: maintain the portfolio plan, manage a unified intake and prioritization process, surface dependencies and resource conflicts across pillars, and keep the roadmap honest against team capacity.
- Portfolio Governance: Stand up lightweight portfolio governance: stage gates proportionate to program risk, RAID and decision logs, and a portfolio health view that gives the COO and CFO real-time visibility across all five pillars.
- SOX Program: Serve as the program manager for Business Technology's SOX ITGC readiness workstream: track control design and remediation milestones across in-scope systems (ERP, procurement, EPM, HRIS, identity), coordinate evidence requests with external auditors and advisors, and report readiness status against the design readiness deadline.
- Program Cadence: Build and operate the operating rhythm: weekly status, steering committees, executive readouts, and escalation paths that resolve blockers in days.
- Change Management: Design and operationalize formal change management for Business Technology systems, including release calendars, freeze windows, and evidence capture that satisfies ITGC requirements. Partner with our SOX and compliance programs so control design milestones are built into program plans rather than bolted on at the end.
- Cutover & Go-Live: Drive cutover and go-live planning: UAT tracking, readiness reviews, hypercare exit criteria, and post-launch retrospectives that actually change how the next program runs.
- Vendor & Partner Management: Manage implementation partner and vendor delivery: SOW milestones, burn tracking, change orders, and holding partners to committed outcomes.
- Executive Communication: Communicate program status to COO, CFO, and Audit Committee audiences with clarity: what shipped, what slipped, why, and what we are doing about it.
- AI-Enabled Program Operations: Continuously improve how Business Technology delivers: templates, playbooks, and tooling (Jira, Google Workspace, AI-assisted status collection and reporting) that reduce program overhead and make delivery faster.

You

- Experience: 8+ years in technical program management, with at least 4 years running enterprise application or business systems programs (ERP, CRM, HCM, procurement, EPM, or data platform). You have carried at least two large implementations end to end as the program owner, including cutover and hypercare, ideally with a Big 4 or boutique implementation partner on the other side of the table.
- Technical Fluency: Fluent enough in systems architecture, integrations, and data flows to challenge a technical plan, spot a hidden dependency, and know when an estimate is wrong.
- Compliance & Controls: Have operated in a SOX or audit-facing environment and understand why change management, access controls, and evidence matter to a program plan. Experience working with external auditors is a strong plus.
- Operating Rigor: Run a tight operating cadence by default. Your programs have a single source of truth, current RAID logs, and no surprises in steering.
- Builder Orientation: Comfortable defining process from zero. You can take a team that runs on tribal knowledge and give it intake, prioritization, and delivery discipline without adding bureaucracy.
- Communication: Communicate exceptionally well upward and sideways. You can compress a messy multi-workstream program into one slide a CFO trusts.
- Adaptability: Comfortable with ambiguity and velocity. Priorities shift at a pre-IPO company, and you re-plan without drama.
- Attitude: An enthusiastic, go-for-it attitude. When you see a program drifting, you can't help but grab it.

## Nice to Have

- Direct experience with our stack: NetSuite, Salesforce, Coupa, Workday, Pigment, Workato, Okta, Lumos, BigQuery.
- Pre-IPO or IPO readiness program experience, including ITGC remediation or Audit Committee reporting.
- Experience with enterprise AI governance: tool approval workflows, AI inventory management, or build-vs-buy frameworks for AI-native applications.
- Experience using AI tooling to automate status collection, reporting, and program hygiene.
- PMP, PgMP, or SAFe credentials (useful, not required; judgment beats certification).

Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

## About Lambda

- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use

## Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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