Engineering Jobs in Graton, CA

Project Manager I - Platform Implementation Manager - Remote - San Francisco Bay Area

Russell Tobin & Associates is currently seeking a Project Manager I. You will work for one of our well-recognized online mobile food and delivery platform clients. The ideal candidate will have 3-5 years of work experience in onboarding customers to a new software system, implementation, project management and/or account management.

Apply now for immediate consideration!

Contract: through 07/31/2026- likely to be extended

Location: Remote

Pay Rate: $38. per hour on W2

Project Manager I - Platform Implementation Manager

Remote - but would prefer to have workers local in the following locations:

Preferred Location (Preferred, in Priority) New York City, San Francisco

Secondary Location: (Open To): Phoenix, Los Angeles, Denver, Chicago

About the team Client Commerce Platform is Client's first software-as-a-service business unit – offering a suite of products and services across online ordering, branded mobile apps, loyalty solutions, and more that enable merchants (restaurants, grocers, retailers, etc.) to reach customers through their own first-party channels.

• Within this pod, the Platform Implementation Manager (PIM) Team was created to help our merchants onboard, implement, and grow their business from day one.
• The team supports our merchants after they sign up, through their first weeks live, and delivers top-tier service and support.

We're excited about you because...

• Bachelor's degree or equivalent work experience 3-5 years of work experience in onboarding, implementation, project management and/or account management
• Able to complete tasks accurately, effectively, and on time with superb attention to detail
• Experience working successfully cross-functionally with individual contributors
• Excellent external and internal customer presentation and communication skills
• Tech-savvy: you are curious and able to dig into technical issues and troubleshoot merchant issues before escalating them to engineering

On a day to day, this means

• Working closely with the sales and account management teams to get merchants set up for success from day one:
• Setting up kick off calls and project managing the implementation of Online Ordering, mobile apps, loyalty and gift card programs for our merchants, coordinating with several internal teams to ensure merchants are using our products as soon as they sign up for it
• Technical troubleshooting of issues (within merchants websites and internally) Educating our merchants on our products: answering \"how to" questions, proactively guiding and educating them through the transition and set up process and providing operational support during the initial weeks of our products usage
• Collecting and registering feedback from merchants on our products

You will report to the Associate Manager, Strategy & Operations, and work within our Commerce Platform organization.

This primarily remote role, prefer someone close to one of our corporate hubs for easy co-working and collaboration across the team on occasion.

You're excited about this opportunity because you will...

• Drive merchant onboardings & implementations with clear, concise communication.
• Deliver strong presentations and handle merchant frustrations with grace and support.
• Train our merchants on Client's Online Ordering product and functionality.
• Leverage your tech-savviness and curiosity to troubleshoot merchants technical issues.
• Become a product expert and cross-functional subject matter expert on Online Ordering.
• Collaborate and support our sales and account management teams with their merchant implementation challenges.
• Share product and operations feedback with our team on a regular basis to share our team's trajectory and product offerings.
• Meet our team's high bar of internal and external service and timeline goals.
• Highlight opportunities for leadership to improve team workflows and merchant success.
• Be able to achieve immediate results and adapt to an evolving work environment.
• Look for ways to improve and want to shape the direction of the company.

Must be authorized to work in the United States

Why Join?

This role offers the chance to impact financial performance, gain exposure to strong leadership principles, and grow professionally—all with competitive pay and potential for long-term engagement.

Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

Eximietas Design is a leading technology consulting and solutions development firm specialising in the VLSI, Cloud Computing, Cyber Security, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, whose collective experience spans renowned tech giants. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape.

Location: Bay Area, CA

Employment Type: Full-Time

Minimum Qualifications:

● Bachelor's degree in computer science or electrical/Electronics Engineering

● Over 10 years of experience in Design Verification

● Strong understanding of design concepts and ASIC verification flow

● Proven experience in IP, Subsystem, and SoC verification

● Hands-on expertise with high-speed protocols and their controllers (PCIe/USB/DDR/ Ethernet/MIPI/UFS)

● Proficient in System Verilog and UVM coding

● Solid understanding of RAL (Register Abstraction Layer)

● Practical experience integrating third-party VIPs

● Excellent problem-solving, analytical, and debugging skills

● Mandatory exposure to at least one of the following: GLS, UPF, Performance Verification, Meta stability simulation, Boot-up (C–SV/UVM) handshakes and C testcase development

● Demonstrated capability in Subsystem testbench development and SoC-level verification

● Strong knowledge of AMBA protocols including AXI, APB, and AHB

● Hands-on experience with revision control systems such as Git, SVN, or Perforce

● Experience in a team lead role with responsibilities in guiding, mentoring, and ensuring effective collaboration across teams

As a Lead verification engineer candidate will be responsible to work at IP, Subsystem or

SoC verification-related tasks.

Responsibilities:

● Develop testbench components (Driver, Monitor, Scoreboard) from scratch or enhance an existing testbench for a given IP, Subsystem, or SOC.

● Understand design specifications and implementation to define the verification strategy.

● Create testbench micro-architecture, test plan, and coverage plan documents.

● Define the verification scope, develop test plans and tests, and establish the verification infrastructure to ensure design correctness.

● Implement System Verilog assertions and functional coverage.

● Analysed code coverage and address missing scenarios to meet coverage goals.

● Work with other verification team members to develop, execute, and analyse verification test cases and sequences, providing relevant solutions to issues.

● Collaborate with architects, designers, and pre- and post-silicon verification teams to meet deadlines.

● Coordinate with customer leads, ensuring all deliverables and timelines are met.

● Serve as the project's point of contact, responsible for verification signoff.

Apply/Refer -

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the \"Art of the Possible\" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‐level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‐org leadership and conflict resolution.

Ability to define long‐term AI vision and cultural standards.

Strategic decision‐making balancing cost, risk, and performance.

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

About Straia

At Straia, we're building the AI-native intelligence layer for colleges and universities.

Today, colleges run on dozens of disconnected systems, forcing staff to spend hundreds of hours manually reconciling data, compiling reports, and tracking down insights. Straia changes that. We unify institutional data and layer on AI agents that answer questions, generate insights/visualizations, and automate repetitive workflows, transforming how colleges operate.

Over time, Straia will evolve into the core intelligence layer for institutional operations, where every function, from student advising to admissions to budgeting and resource planning, is supported by collaborative AI agents that understand each institution's unique data landscape.

We recently raised our pre-seed from a16z, Reach Capital, and JFF Ventures, and are now hiring a founding backend engineer to help build the technical backbone of how institutions interact with their data.

The Role

As a Founding Engineer at Straia, you'll work directly with a small team including directly with our CEO (Ryan), CTO (Alan) and CPO (Nikki) to design, build, and scale the core infrastructure of our platform.

This is a 0 → 1 opportunity to shape not just the product, but the engineering culture, architecture, and trajectory of the company. You'll ship fast, make key technical decisions, and help define how AI can power the next generation of enterprise data intelligence.

We're specifically looking for someone who consistently raises the bar. The kind of engineer whose default speed and judgment increase the velocity of everyone around them. If you thrive when expectations are high and the pace is fast, you'll feel right at home

What You'll Do

• Build the core platform — architect and implement services spanning data ingestion, query orchestration, and agentic AI workflows
• Ship end-to-end features across our React + Node.js + Postgres stack, integrating directly with LLMs like GPT, Gemini, and Claude
• Scale infrastructure on GCP for performance, reliability, and data security
• Collaborate with users (university data teams and administrators) to translate real problems into elegant, powerful solutions
• Lay the foundation for Straia's engineering culture, best practices, and technical roadmap
• Prototype fast, iterate faster — your work will directly shape how education leaders experience AI in their daily decision-making

Who You Are

• 4–7 years of experience building and shipping full-stack applications, with a strong emphasis on backend systems (Node.js, TypeScript, Postgres).
• Deeply technical, with a track record of building scalable, high-quality software
• Startup-minded — you thrive in ambiguity, love building from scratch, and see constraints as creative fuel
• Mission-driven — excited to improve education through technology that makes institutions smarter, faster, and more equitable
• Collaborative and high-agency — you take initiative, value clear communication, and have the instincts of an owner, not an employee
• AI-curious or experienced — exposure to LLMs, vector databases, or prompt engineering is a plus

Our Stack

• Frontend: React + Vite
• Backend: Node.js + Express, orchestrating data and AI agent workflows
• Data Layer: Postgres + Caching for fast queries
• LLM Integration: GPT, Gemini, Claude via API
• Cloud & Infra: Hosted on GCP

Why Join Straia

• Be one of the first engineers at a venture-backed AI company redefining institutional intelligence in higher ed
• Shape the core architecture and engineering culture from day one
• Work directly with top-tier investors and advisors from a16z, Reach, and JFF Ventures
• Join a small, fast-moving team that works incredibly hard, ships fast, and still makes time for good food, laughs, and adventures — we take our work seriously, but not ourselves
• Build meaningful technology that directly impacts student success and equity across colleges nationwide

What We Offer

• Compensation: $160K–$225K + equity
• Location: San Francisco (in office 4 days a week)
• Benefits: Health (platinum insurance), dental, and vision

**We do not sponsor Visas**

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled "product managers."

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Responsibilities:

• Establishing and expanding advanced research initiatives focused on next-generation computational modeling and large-scale simulation frameworks.
• Initiating and driving new directions in numerical methods, partial differential equations, and the theoretical underpinnings of data-driven scientific computing.
• Guiding and developing a small, high-caliber research team while defining technical priorities and quality standards.
• Partnering closely with engineering to convert mathematical concepts into efficient, scalable computational solutions.
• Elevating research excellence through influential publications and thought leadership in top-tier venues.

Desired Qualifications:

• PhD in Applied Mathematics, Physics, Computer Science, or a related discipline (or equivalent research accomplishments).
• Strong background in numerical analysis, scientific computing, computational physics, or the mathematical theory of machine learning.
• Proven experience leading or mentoring researchers in rigorous, first-principles investigation.
• Established record of impactful publications or equivalent scholarly contributions.
• Preferred: Experience translating academic advances into practical, real-world or industry applications.

The Company

A rapidly growing data consultancy founded in 2023 by a former venture-backed biotech VC data/technology leadership team in San Francisco. The firm has already delivered 20+ engagements across tech, healthcare/biotech, finance, energy, real estate, and startups - building complex data platforms, products, and AI-driven systems.

The Role

A hands-on, senior individual contributor role for engineers who still love coding. You'll work in small teams (often 1–3 engineers) to design and build production-grade data platforms, pipelines, and products across industries.

What You'll Work On

• High-impact, fixed-scope builds (e.g., enterprise data marts, complex migrations)
• End-to-end data platform deployments (ETL, warehouses, BI across AWS/Azure/GCP)
• Partnering with startups to build data-intensive products from 0 → 1

What We're Looking For

Hands-on builder

• Actively writing production code today
• Not removed into management or purely architectural roles

Infrastructure ownership

• Personally deployed and operated production systems
• Cloud, CI/CD, scaling, monitoring, reliability

End-to-end ownership

• Taken products from idea → launch → ongoing operation
• Comfortable operating autonomously with stakeholders

True seniority (well beyond 5 years)

• Targeting engineers with meaningful depth and ownership
• Strong preference for backgrounds in smaller, high-ownership environments
• Experience wearing multiple hats (application + infrastructure + deployment)

Why Join

• High autonomy and real technical ownership
• Variety of industries and problems
• Small, elite engineering team
• Opportunity to shape a fast-scaling consultancy

Location: San Francisco (5 days a week on-site)

Salary: $190k-$250k + 10-20% bonus + equity + sign on bonus

Benefits: Full Health, Vision, Dental, Life Insurance, Commuter Benefits, Unlimited Time off, 401k matched.

Role Summary

We are seeking a seasoned business leader to build and lead our North America operations in AI Data Center and Server Power solutions.

This role carries full market ownership responsibility — including strategy, revenue growth, key account acquisition, and organizational build-out — with direct exposure to executive leadership.

What You Will Own

• Define and execute North America go-to-market strategy and multi-year growth roadmap.
• Establish and expand strategic relationships with Hyperscalers (CSP), OEM/ODM partners, server manufacturers, and data center operators.
• Drive revenue growth, pipeline development, pricing strategy, and commercial negotiations.
• Build and scale the regional team across business development and technical support functions.
• Lead executive-level customer engagement, including roadmap alignment and long-term supply agreements.
• Translate industry shifts (AI/GPU architecture, high-power PSU, digital power, GaN/SiC) into competitive positioning.
• Partner closely with global R&D, product, and operations teams to ensure execution excellence and scalable delivery.

What We're Looking For

• 8+ years of leadership experience in AIDC, IDC, server power, or power electronics industries.
• Strong track record selling into North American Hyperscalers, server OEMs, or major data center operators.
• Deep understanding of AI server power systems (high-density PSU, redundant architecture, UPS).
• Demonstrated success building new markets or scaling regional operations (0→1 or 1→N growth experience).
• Executive presence with strong negotiation and cross-cultural collaboration capability.
• Bachelor's degree or above in Electrical Engineering, Power Electronics, or related field preferred.
• Based in the Bay Area; able to travel globally as required.
• Native-level Mandarin and fluent English required.

Why This Role

• Direct ownership of North America strategy in a high-growth AI infrastructure market.
• Opportunity to build a regional organization from the ground up.
• Executive visibility and meaningful impact on global expansion.