채용
About Marvell
Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
Marvell is on an ambitious journey to embed AI across the enterprise — accelerating productivity, driving innovation, and unlocking new business value. As that capability scales, the governance and enablement infrastructure needs to scale with it. The Director of AI Governance & Enablement is a critical leadership role that ensures Marvell’s AI expansion is both bold and responsible.
This leader will build and own the frameworks, operational processes, and reporting that ensure every AI capability at Marvell — whether an internally built agentic solution or an externally procured SaaS AI tool — is properly evaluated, approved, tracked, and used within policy. This is not a passive oversight role. It requires someone who can establish authority across a fast-moving organization, engage teams before ungoverned AI adoption becomes a risk, and drive strategic enterprise-wide AI expansions when the opportunity calls for it.
On the operational side, this team builds governance operations on top of the enterprise AI platform’s observability and infrastructure services — owning the definitions, risk frameworks, outcomes, and reporting that give Marvell leadership and compliance teams real visibility into the AI portfolio. Alongside that, this leader owns enterprise AI adoption: the training, change management, and enablement programs that ensure Marvell employees can use AI tools confidently, effectively, and responsibly at scale.
What You Can Expect
What You’ll Do
- Own the unified intake and approval process for all AI capabilities — internal agentic solutions and SaaS AI tools — across all channels regardless of which team is driving adoption.
- Lead strategic enterprise AI tool expansions end-to-end, including evaluation, business case, and procurement coordination with IT, Finance, and Legal.
- Define the agentic governance framework: risk categorization, agent identity and scope definitions, acceptable use policies, and lifecycle management.
- Build governance operations using the enterprise AI platform’s observability services, owning the risk thresholds, anomaly definitions, and response processes.
- Deliver the governance reporting cadence — operational dashboards, risk summaries, compliance attestations, and executive updates.
- Partner with Security, Legal, and Compliance to keep the framework aligned with enterprise risk requirements and regulations.
- Design and run the enterprise AI enablement program: training, change management, adoption tracking, and a Center of Excellence across business units.
- Hire and grow the Governance & Enablement team as the program scales.
Key Deliverables
- Intake — Unified intake process live and enforced across agentic and Saa
S AI channels:
- AI inventory — Live catalog of all approved AI solutions and tools with real-time risk and ownership visibility
- Risk model — Documented risk tiers with differentiated controls and enforcement in place
- Governance reporting — Regular reporting cadence delivering operational, risk, and executive visibility
- Enablement — Launched training program with measurable adoption metrics and active CoE network
What We're Looking For
- 12+ years in enterprise technology with meaningful time in governance, risk, or technology strategy.
- Proven track record building governance or operational frameworks for emerging technologies in complex enterprise environments.
- Experience leading enterprise-wide technology evaluations and rollouts including procurement coordination.
- Strong working knowledge of agentic AI platforms and frameworks such as Lang Chain, Lang Graph, or similar orchestration tooling; familiarity with MCP-based architectures is a plus.
- Familiarity with enterprise SaaS AI tools such as Microsoft Copilot, Glean, Cursor, or Claude.
- Experience with observability and telemetry platforms (e.g. Datadog, Splunk, Open Telemetry) to define monitoring requirements, build dashboards, and operationalize alerting.
- Comfortable establishing governance in fast-moving environments without becoming a blocker.
- Strong communicator — able to translate governance concepts into clear policies, training, and executive narratives.
Expected Base Pay Range (USD)
190,280 - 285,000, $ per annum
The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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모의 지원자 수
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Marvell 소개

Marvell
PublicMarvell Technology, Inc. is an American company, headquartered in Santa Clara, California, which develops and produces semiconductors and related technology.
5,001-10,000
직원 수
Santa Clara
본사 위치
$15.2B
기업 가치
리뷰
3.6
10개 리뷰
워라밸
3.2
보상
3.8
문화
3.5
커리어
2.8
경영진
2.9
62%
친구에게 추천
장점
Good benefits and compensation
Supportive team and leadership
Flexible work arrangements
단점
Limited career advancement opportunities
High workload and long hours
Poor management communication
연봉 정보
16개 데이터
Junior/L3
Junior/L3 · DATA SCIENCE AND ENGINEERING PROFESSIONAL II
1개 리포트
$111,800
총 연봉
기본급
$86,000
주식
-
보너스
-
$111,800
$111,800
면접 경험
1개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
100%
경험
긍정 100%
보통 0%
부정 0%
면접 과정
1
Application Review
2
Recruiter Call
3
Technical Screen
4
Final Round Interview
5
Offer Decision
자주 나오는 질문
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
UI/UX Design Principles
뉴스 & 버즈
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