Engineering Journal Jobs in Manchester Washington

Director to VP of Process/Manufacturing & Engineering

Location: Seattle, WA / Reports to: Chief Executive Officer (CEO)

The core of this position is someone who has directly taken a chemical or process manufacturing technology from early stage development through pilot and into commercial production. Specifically someone who has scaled a process based manufacturing system, liquids, heat, pressure, continuous or batch processing, from benchtop or pilot scale to revenue generating commercial scale.

Must have

• Direct experience scaling a process-based manufacturing system from pilot or bench scale to commercial production, ideally with clear quantifiable outcomes.

Strong preference

• Experience doing this scale-up within a startup or resource-constrained environment.
• Background in chemical or process engineering rather than mechanical or discrete manufacturing.
• Experience building operational, quality, and production infrastructure during the early commercialization phase.
• Quantifiable impact metrics around scaling chemical processes. This can take a few different forms, " X size pilot to first $Y M/yr commercial production\" or "Increased production Z%" etc.

Further, someone who has operated across engineering, supply chain, and operations, a true "operations-oriented engineer." High level of independence and drive, ideally someone who proactively flags risks, pushes timelines, and takes ownership of execution.

This is a senior, execution-focused leader, responsible for translating our technology into safe, reliable, on-spec, and cost-disciplined production at scale via our external partner network. You will own the production and engineering strategy, including leading technology transfer, managing contract manufacturer (CM) performance, and driving EPC execution for facility expansion while working with executive leadership to set the strategy for continuous improvement and a large-scale manufacturing network. You will serve as the primary commercial and technical bridge between internal innovation team and the manufacturing environment. This role requires a leader who is equally comfortable turning a wrench, reviewing P& IDs, negotiating multi-million-dollar MSAs, and acting as the owner's representative & quote, on major capital projects.

What You'll Do

1. Strategic Technology Transfer and Scale-up

○ Lead the 'Bench-to-Plant' Interface: Manage the technical hand-off from internal development to external partners, ensuring processes are robust, documented, and ready for commercial-scale production.

○ Scale-Up Oversight: Steward production, quality, and throughput during the critical transition from pilot to commercial runs, troubleshooting as necessary

○ Process Integrity: Ensure high standards for quality and yield is maintained when processes leave our internal control and enter our partner network.

○ Manage all aspects of technology transfer from R&D to contract manufacturing partners, driving tonnage-scale, on-spec production.

○ Planning for Velocity: properly scope and strategically plan timelines to maintain a venture backed pace for scale-up

2. Contract Manufacturing Ownership and Commercial Strategy

○ Commercial Negotiation: Lead the negotiation of Master Service Agreements (MSAs), tolling fees, and other manufacturing contracts. You are responsible for structuring deals that align incentives and protect our interests.

○ Partner Management: Serve as the single point of accountability for CM relationships. Set, track, and enforce KPIs for quality, OTIF delivery, and yield.

○ COGs Ownership: Own the external production cost model and rigorously define cost drivers and partner with the finance team to forecast scenarios and define and refine unit economics.

3. EPC Leadership and Scale Up

○ Project Delivery Strategy: Select and manage the appropriate project delivery model (e.g. Design-Bid-Build vs EPCM) and lead the selection of EPC vendors

○ Front-End Definition: Provide rigorous oversight of FEL/FEED stages to lock in scope before capital commitment.

○ Owner's Representative: Act as primary "Owner's Rep" for all capital projects, holding external firms accountable for schedule, cost, quality, and safety performance, serving as decision maker of change orders.

○ Own the Build: Oversee the physical execution of facility upgrades or new builds, ensuring a seamless handover to operations.

○ Provide technical input into the strategy of where and how to manufacture product to support business growth

4. Quality, Safety, and Risk Management

○ EHS Compliance: Audit and enforce safety standards at CM and any external sites where we are operating.

○ Supply Chain Risk: Identify point of failure in our external network and develop contingency plans for capacity and logistics

○ Quality: Own and maintain Ravel's quality management framework, including oversight of SOPs, documentation, and continuous improvement across internal operations and external partner.

What You'll Bring

● B.S. or M.S. in Chemical Engineering, Process Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Chemistry or a closely related discipline, or equivalent experience gained through progressive responsibility in manufacturing operations. A PhD or MBA is a strong plus.

● 10+ years' experience in chemical/process manufacturing, technology transfer, and/or contract manufacturing at pilot or commercial scale.

● Capital Projects Fluency: Demonstrated experience acting as the "Owner" on a capital project ($20M+). You understand the difference between FEL 1/2/3 and know how to control TIC.

● Commercial Acumen: Strong experience negotiating tolling agreements, joint development agreements, and construction contracts. You know how to structure a deal to protect IP and cash risk.

● Technical Authority: Ability to read PFDs/P&IDs and challenge engineering partners on design.

● Willingness to Travel: This role requires being present where the work is, at CMs and construction sites (approx 30-50% travel)

This is an opportunity to own manufacturing strategy and execution at a company scaling breakthrough technology into the real world. You will shape how we manufacture globally, with executive-level accountability for cost, quality, delivery, and facilities, and play a central role in the company's next phase of growth.

Join a passionate, visionary team as we build a future where textile production and consumption are part of a sustainable, closed-loop system.

Traits and Characteristics:

● Hustle

● Team player (our team)

● Positive attitude

● 100% integrity

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, statistics, or related field; or equivalent experience
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keep up with industry trends in recommendation systems
  
• Leverage LLMs to enhance content understanding
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• Degree in computer science, machine learning, statistics, or related field
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
  
• Nice to have:
  
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • Background in computational advertising
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Chief Executive Officer – Highly Engineered Metal Components Manufacturing – Private Equity, 78996

Our client is a private equity-backed manufacturer of highly engineered metal components, headquartered in the Seattle, Washington area. The company serves a diverse range of end markets, including aerospace, medical, industrial, agricultural, and commercial sectors, with a strong presence across the Pacific Northwest and beyond. Recognized for its commitment to quality and reliability, the organization is well-established and strategically positioned for continued growth through both organic initiatives and acquisitions.

The company is seeking a hands-on, growth-oriented Chief Executive Officer to lead and develop a high-performing team while shaping and executing a strategy focused on expanding customer wallet share. Additionally, this individual will be responsible for driving growth through new market penetration, broader industry diversification, and an active mergers and acquisitions strategy.

The ideal candidate will bring a strong track record of building and scaling businesses while instilling operational best practices in entrepreneurial or developing environments. Alternatively, candidates may come from larger organizations where they have demonstrated disciplined process leadership and multi-site management experience, and are now seeking the opportunity to transition into a more agile, entrepreneurial setting as a standalone CEO.

Additionally, the ideal candidate may have demonstrated experience leading an organization through a successful sale or liquidity event. The candidate will bring a strong understanding of value creation levers, financial performance optimization, and investor expectations, ensuring the company is well-positioned to achieve a successful outcome while maintaining operational stability throughout the process.

An attractive compensation package is offered, including a competitive base salary, performance-based bonus, and equity participation.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Within our Ads Performance and Ads Delivery teams, we connect the dots between what Pinners aspire to do and the products our advertising partners offer-building personalized, discovery-driven experiences that help people create a life they love. Pinterest is just over 4,000 employees globally, which means our teams stay small, high-ownership, and fast-moving, with hands-on access to an exceptional vault of data and the chance to build and evolve large-scale recommendation and ranking systems at real-world scale.

We're hiring multipleStaff Machine Learning Engineersacross ourAds Machine Learningorg withinMonetization Engineering. In this role, you'll lead innovation across core applied ML and marketplace technologies that power our ads ecosystem-advancing our ads ranking stack, building the next generation of scalable ads retrieval models, and improving shopping discovery for millions of users. You'll also help shape the evolution of the Pinterest marketplace by designing systems and experiments that improve the ads delivery funnel, inform the utility function, and influence auction mechanisms and ad allocation-using deep analysis of marketplace dynamics to unlock new insights. Overall, this is a high-impact opportunity to define what great looks like for Pinterest Shopping Ads, directly improving both user experience and advertiser outcomes in a uniquely discovery-first marketplace.

What you'll do:

• 
  
• Design features and build large-scale machine learning models to improve user ads action prediction with low latency
  
• Drive innovation in personalized Shopping Ads recommendations through advanced modeling
  
• Develop new methods for inferring user interests from online and offline activity
  
• Mine text, visual, user signals to better understand user intention
  
• Leverage multimodal signals (text, visual, user) to better understand user intent
  
• Collaborate with product and sales teams to design and implement new ad products
  
• Partner cross-functionally with product, sales, data science, and engineering teams to design and improve user journey and optimize ads performance across all stages of retrieval and ranking
  
• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
  
• Define and implement experiments to understand long term Marketplace effects
  
• Develop strategies to balance long and short term business objectives.
  
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.
  

What we're looking for:

• 
  
• Degree in Computer Science, Machine Learning, Statistics or related field
  
• Experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing
  
• Experience leading projects and mentoring team members
  
• Strong mathematical skills with knowledge of statistical methods
  
• Excellent written and verbal communication skills and strong cross-functional collaboration
  
• Background in computational advertising is a plus, but not required
  

This position is not eligible for relocation assistance.

#LI-HYBRID

#LI-SM4

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Fenagh Engineering and testing provides special inspections, materials testing, and geotechnical engineering services for a wide array of private and public sector clients.

We are seeking a full-time Quality Control Manager to join our Seattle team.

Responsibilities

• Review and oversee daily field reports from inspectors for accuracy and completeness, and perform required submission of reports to client/ contractor reporting portal
• Ensure field staff follow correct testing procedures per project specifications (Sound Transit, WSDOT, ACI, ASTM, etc.)
• Attend Pre-construction meeting contractor and building officials, Pre-Activity meetings with contractor/client. Review/Pass on information to the company as needed.
• Perform quality reviews of field and lab reports prior to client submittal
• Coordinate with project managers and dispatch to ensure proper staffing and coverage
• Act as point of contact for field technicians regarding testing procedures, report issues, and field challenges
• Maintain up-to-date certifications required for project oversight (WABO, ACI, ICC, etc.)
• Review inspection schedules to ensure timely coverage of required testing
• Flag non-conforming work and follow up with corrective action documentation
• Communicate with clients and contractors as needed to clarify scope or resolve field issues
• Provide coaching and feedback to field staff to ensure high-quality performance
• Track and ensure compliance with project-specific reporting requirements
• Support lab staff in sample intake, testing, and reporting as needed
• Assist with invoicing support (e.g., confirming inspection dates/hours, equipment usage)

Requirements

• 10+ years experience in a QC Inspector or QC Manager Role for Sound Transit, WSDOT or related projects.
• WABO RC, PC, PA, PI and ICC RC, PT, certifications or more recommended. WAQTC Certifications for Soils and Asphalt are recommended.

Company Description

Jet Parts Engineering (JPE) is an equal opportunity employer. In business since 1994, JPE is an aerospace engineering firm that has established a reputation for supplying high quality parts while providing exceptional service to its customers. Employees enjoy a diverse, positive, communicative, team-oriented, and cross-disciplinary environment. With employees stationed across the continental U.S. as well as Europe and Asia, JPE is widely expanding. For more information, see Description

The Inside Sales Account Manager will provide excellent customer service, build stronger relationships with existing customers, develop new ones, and support multiple JPE Regional Sales Managers. The position will be the primary point of contact for JPE’s many MRO customers and be a key member of the sales team supporting commercial airlines and JPE’s largest customers. As an Inside Sales Associate the position will act as the Regional Sales Manager’s internal advocate and will work with multiple departments across the organization always ensuring the best customer service. The position is in the Sales and Marketing department and reports to the Inside Sales Manager.

Core Responsibilities (Includes but is not limited to)

1.        Become familiar with JPE parts and other distribution lines/parts.

2.       Utilize JPE’s ERP system to respond to RFQs and correctly fulfill orders.

3.      Evaluate customer quotes/orders for cross-sell opportunities and follow up.

4.      Compile sales opportunity analyses as required.

5.      Track sales opportunities identified in JPE’s CRM.

6.      Research and identify new sales opportunities.

7.       Proactively approach customers with new product offerings.

8.      Maintain strong relationships with current customers.

9.      Expand customer base.

10.    Coordinate efforts across different JPE departments to provide the highest level of service to customers.

11.     Support outside sales force.

12.     Other duties as assigned.

Experience and Skills

1.        2+ years of experience working in an aviation related inside sales role strongly desired.

2.       Motivated self-starter with outgoing phone personality.

3.      Detail oriented with strong analytical reasoning required.

4.      Strong Microsoft Office skills required, with an emphasis on MS Excel.

5.      Sales experience in a manufacturing / distribution environment, handling multiple product lines with strong emphasis on cross-selling, price negotiation, and follow up.

6.      Must have excellent communication skills, both oral and written.

Education

 Four-year degree highly favored

Physical Requirements

• Work is performed in a standard office environment; Noise level is moderate in the work area.
• Ability to communicate well orally with customers, management and co-workers is crucial. Regular use of phone and email communication is essential. Hearing and vision correctable within normal ranges is essential for conversations, receiving information and preparing and inspecting documents.
• Must be able to sit for extended periods up to 50% of the time for computer use or maintain equipment in and around your desk.
• Occasional lifting of parts or procured items up to 25lbs may be required.
• Ability to move about the office occasionally accessing files, storage, office equipment, meetings as required.
• Must have good manual and finger dexterity for computer work.

Compensation and Benefits

Hourly position commensurate with experience, hourly range ($26.44 - $28.84 DOE. Regular full time position Monday through Friday 8 hours daily. We offer flexible start times with manager approval, paid vacation, and sick/personal leave along with health, dental, vision, life and other insurance options and 401k benefits with a matching contribution. Other perks; annual training/education budget for all employees, referral bonuses for new hires, complimentary snacks and drinks, small on-site gym, company events and philanthropy opportunities.

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

The Programmatic Ads team integrates with external demand partners (DSPs, SSPs, etc) through OpenRTB. We drive performance optimization (latency, conversion, engagement, fill rate, etc) for our programmatic ad products. We are also responsible for building internal tools to better enable cross-functional teams.

What you'll do:

• 
  
• Lead one or two partner integrations, and work closely with product managers, data scientists, other cross-functional teams, and external partners to understand business requirements and translate them into technical solutions.
  
• Independently drive the full software development lifecycle, including ideation, technical design, prototyping, development, and release.
  
• Independently drive problem-solving and product iterations by utilizing A/B testing.
  
• Establish and maintain a high standard for technical excellence and production quality.
  
• Mentor junior engineers on the team and provide design and coding feedback.
  

What we're looking for:

• 
  
• Bachelor's degree in computer science, a related field or equivalent experience.
  
• 8+ years of hands-on backend software engineering experience in large-scale distributed systems.
  
• Passion for working on ad products work.
  
• Excellent communication and stakeholder alignment skills.
  
• Strong problem-solving skills and analytical mindset, with the ability to use data to guide decisions.
  
• Experience with ad serving platform, ad exchange, supply-side platform, or demand-side platform.
  

In-Office Requirement Statement:

• 
  
• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  

• 
  
• This role will need to be in the office for in-person collaboration twice a month, therefore needs to be in a commutable distance from the Seattle office.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-HYBRID

#LI-AG8

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: