Engineering Jobs in Dublin Alameda County, CA

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.

Role: Forward Deployment Engineer

Location: Bay Area, CA (Hybrid / Local Candidates Only)

Duration: 6-Month Contract

Position Overview

We are seeking a Forward Deployment Engineer to work closely with customers to rapidly diagnose, develop, and deploy technical solutions that address real-time user issues. This role requires a hands-on full-stack engineer who can quickly understand customer workflows, translate business problems into technical solutions, and implement fixes within extremely short turnaround times.

The ideal candidate will be comfortable working in highly dynamic environments, collaborating directly with end users and product teams to identify problems, architect solutions, and deploy updates rapidly. The role requires a strong ability to leverage modern development approaches, including rapid prototyping and vibe-coding or similar fast iteration techniques, to resolve customer issues within tight timelines.

Key Responsibilities

• Work directly with customers and internal stakeholders to identify and diagnose real-time user issues within deployed systems.
• Translate user needs and operational challenges into technical solutions and rapid fixes.
• Design, develop, and deploy full-stack solutions to resolve customer problems quickly.
• Implement rapid iterations using modern development practices such as vibe-coding, rapid prototyping, and accelerated deployment workflows.
• Deliver production-ready fixes and enhancements within short turnaround windows (often within 12 hours).
• Collaborate with engineering, product, and customer teams to ensure solutions align with platform architecture and long-term product strategy.
• Monitor deployed solutions, gather feedback from users, and continuously improve system performance and usability.
• Document solutions and contribute improvements back into the core product or platform.

Required Qualifications

• Strong experience as a full-stack software engineer with hands-on development experience.
• Ability to quickly diagnose technical issues and design solutions in real time.
• Experience building and deploying applications across both frontend and backend components.
• Comfortable working directly with customers and understanding real-world user workflows and operational challenges.
• Experience with rapid development and deployment methodologies.
• Strong problem-solving skills and the ability to operate effectively in fast-paced, high-pressure environments.

Preferred Qualifications

• Experience working in forward deployment engineering, solution engineering, or customer-facing engineering roles.
• Familiarity with modern development stacks and cloud-based architectures.
• Experience with rapid prototyping tools, AI-assisted coding, or accelerated development frameworks.
• Background working in high-growth technology companies or enterprise SaaS environments.

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.

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network.

This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements.

The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution.

Projects You'll Work On

• Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories.
• Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services.
• Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution.
• Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities.
• Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades.
• Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings.
• Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations.
• Driving cost optimization through value engineering, competitive bidding, and strategic negotiations.
• Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement.
• Developing presentations and recommendations for executive leadership to support strategic sourcing decisions.

What Experience You Should Bring

• Bachelor's degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred).
• 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement.
• Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services.
• Strong understanding of construction cost estimation, budgeting, and material cost drivers.
• Experience leading RFP/RFQ processes, supplier negotiations, and contract development.
• Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling.
• Experience working cross-functionally with engineering, legal, finance, and project management teams.

What Will Help You Stand Out

• Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments.
• Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa).
• Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards.
• Professional certifications such as CPSM, CCM, or CCPS.
• Strong financial acumen including experience analyzing budgets, cash flow, and cost structures.
• Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities.

Work Environment

• Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites.
• Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment.

Compensation & Benefits

The base salary range for this position is up to $200,000.00, depending on experience and qualifications.

The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.

At Amazfit, design and technology move together.

We create smart wearables that blend elegant form, human-centered function, and cutting-edge innovation — from performance-driven sports watches to lifestyle products that express personal style.

Our mission is simple: help people live healthier, more connected lives through design that feels natural, looks beautiful, and works effortlessly.

Join our passionate design team, where creativity, craftsmanship, and technology come together to shape the future of wearables.

What You'll Do:

As an Industrial Designer, you'll take ideas from concept to production — shaping next-generation wearables that define Amazfit's design identity. You'll collaborate across disciplines including product management, UX, engineering, and marketing to bring bold, refined ideas to life.

• Create inspiring design concepts through sketching, 3D modeling, and visual storytelling
• Develop details across CMF, ergonomics, and manufacturability with precision and creativity
• Collaborate with mechanical and manufacturing partners to ensure design intent through production
• Explore new materials, finishes, and trends to keep Amazfit products ahead of the curve
• Present ideas clearly through visuals, mockups, and prototypes
• Contribute to the evolution of Amazfit's design DNA and product strategy

What We're Looking For:

• 4+ years of experience in industrial/product design (wearables, lifestyle, or consumer electronics preferred)
• A portfolio showcasing creative process, aesthetic sensitivity, and production-ready design
• Proficiency in SolidWorks, Creo or Rhino, KeyShot, and Adobe CC
• Strong understanding of CMF, DFM, and real-world manufacturing constraints
• Deep sense of aesthetics and style, able to contribute to female-oriented design such as rings or jewelry-related projects
• Experience or background in jewelry design is highly preferred
• Proactive, open-minded, and passionate about design and innovation
• Comfortable working in a collaborative, cross-functional environment
• Bachelor's degree in Industrial Design or equivalent

Bonus Points:

• Experience designing wearable or sports-related products
• Skills in graphic, motion, or interaction design
• Understanding of UI/UX principles

Benefits of Working At Zepp Health:

• Competitive salary, Vacation day, sick day
• Health insurance, Vision insurance, Dental insurance, life insurance
• 401K & Matching
• Year-end Bonus pay
• Other Benefits

Zepp Health is an Equal Opportunity employer and welcomes everyone to our team. If you need reasonable accommodation at any point in the application or interview process, please let us know. In your application, please feel free to note which pronouns you use (for example: she/her/hers, he/him/his, they/them/theirs, etc).

Insight Global's client in Fremont, CA is seeking a Project Controls Scheduler to join their team.

Develop fully integrated Engineering, Procurement, Construction, Commissioning logically tied, and resource loaded schedules

• Monitor, analyze and report the critical path and overall project performance

• Analyze and report on scheduling and project data with an innovative approach leading to actionable outcomes

• Create potential "what-if" scenario schedules showing viable alternative paths to achieve project objectives, accelerate or reduce schedule and cost risks

• Ensure scheduling tools are progressed and updated weekly with all stakeholders across multiple programs, while providing accurate and meaningful outputs

Required Skills & Experience:

• 3-10 years of scheduling/planning experience on large commercial, industrial, mining, government, or oil & gas construction projects

• Project size $100M +

• Direct scheduling experience with proficiency in Primavera P6 are required for this role

• Proficient Microsoft Excel skills

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.

• Applicant will be responsible for maintaining and servicing several OEM in the region including training and account management.
• Responsible to promote, sell, and secure new business while maintaining and managing existing accounts.
• Develop new business opportunities with customers served while ensuring Wabtec Bus Solutions products specifications are written in current and future orders for bid.
• Provide accurate sales forecast and market data to Regional and National Manager.
• Position may require up to 80% travel to customer, sister companies, Trade shows and to Vapor (Chicago) and Ricon (San Fernando).
• Demonstrated competency in managing contracts and OEM customers.
• Must be self-motivated and able to manage a home office as well as be an effective time and territory manager.
• Strong mechanical aptitude and ability to communicate unique selling points to a broad audience including Engineering, Operations, Maintenance and Safety professional because of the custom engineered product offerings.
  
  

• 3 years of relevant sales experience in the Bus Transit Sector, or equivalent, including project and account management
• High school diploma/equivalent required, college degree preferred
• Experience using a CRM preferred
• Strong Microsoft Office applications skills