Engineering Jobs in Bellevue

Job Summary: We are seeking a skilled Global Product Manager II to lead the development and operational success of a high-impact global product set to be launched worldwide. The candidate will work full-time on-site, driving product direction, enhancing customer experience, and presenting to senior leadership independently. The role offers an opportunity to work cross-functionally with teams such as engineering, marketing, and finance, fostering a product that enhances the Prime member experience.

Key Responsibilities:

• Lead the development and operational strategy of global products.
• Analyze data and metrics to inform product direction and enhancements.
• Present product strategies and progress directly to senior leadership.
• Collaborate cross-functionally with teams such as engineering, marketing, and finance.
• Improve customer experience through targeted product improvements and innovations.

Must-Have Skills:

• Experience in building/operating a high-impact global product for 2+ years, leading senior leadership reviews independently.
• Strong analytical and quantitative skills.
• Experience in building and improving CX for members, customer-facing platforms, and data products.

Domain/Industry Required:

• Prior experience in product management, preferably within a tech or related industry, is required. Candidates should have worked productively in cross-functional teams and have a track record of enhancing customer experiences through innovative product management.

Background: 

• Minimum 4 years relevant experience required; 6-8 years preferred. Bachelor's degree in Finance, Marketing, Data Analytics, Business, Engineering, or Economics is mandatory; a Master's degree is advantageous.

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.

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:

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.

About Sales Strategy & Operations

As a Sales Strategy & Operations (SS&O) team, our mission is to power sustainable revenue growth for Pinterest with datadriven strategic insights and decision making, tight management against them and highimpact revenue management. We inform critical business decisions driving revenue growth, so team members are highly visible to senior Sales leadership at Pinterest and throughout the organization at large.

This role sits within the SS&O team supporting Programmatic Sales, partnering closely with the VP, GM Programmatic Ads Sales and Programmatic Sales leadership to shape and scale a priority growth business for Pinterest.

What You'll Do:

Reporting to the Senior Director of Sales Strategy & Operations for Agency & Programmatic, and in close partnership with the VP, GM Programmatic Ads Sales, you will develop and bring to life datadriven strategies to accelerate growth in this critical business vertical. In this role, you will:

• 
  
• 
  

  Own development of the sales gotomarket strategy for Programmatic Sales - including customer segmentation, ideal customer profiles, bookofbusiness design, coverage models, sales priorities, and annual planning for Programmatic sellers.

  
  
  
• 
  

  Lead the analytics and forecasting engine for Programmatic Sales by designing and maintaining revenue forecasts, pipeline and coverage models, performance scorecards, and forwardlooking views that help leadership make fast, datadriven decisions.

  
  
  
• 
  

  Build and manage core reporting and dashboards (in partnership with Data, Finance and BizOps) that surface clear, actionable views of programmatic performance across regions, channels, partners, and products - and continually refine these based on stakeholder needs.

  
  
  
• 
  

  Run recurring business review cadences (e.g., weekly performance reviews, monthly/quarterly business reviews) for Programmatic Sales - owning the narrative, analyses, materials, and followup to drive accountability and execution.

  
  
  
• 
  

  Translate complex data into clear stories and recommendations for Sales and executive stakeholders, including diagnosing performance drivers, identifying opportunities and risks, and proposing concrete actions for sellers, leaders, and XFN teams.

  
  
  
• 
  

  Design and refine sales processes and workflows as new programmatic products, deal types and partners are launched and as new acquisitions are integrated - ensuring Programmatic Sales has clear ways of working, robust documentation, and measurable outcomes.

  
  
  
• 
  

  Partner with crossfunctional teams (Finance, Product & Engineering, Product Marketing, BizOps, Client Solutions) to define strategy and operating details for Pinterest's programmatic offering as it evolves, ensuring Sales input is grounded in data and market reality.

  
  
  
• 
  

  Identify and test new growth opportunities through structured experiments and analyses (e.g., pricing tests, new motion pilots, coverage and incentive changes), and operationalize successful approaches at scale.

  
  
  
• 
  

  Drive standardization and scalability by codifying best practices, creating reusable analytics and tooling, and aligning on shared metrics and definitions across Programmatic Sales and broader Sales orgs.
  
  

  
  
  

What We're Looking For:

• 
  
• 
  

  7+ years of professional experience in strategy & operations, analytics, or similar fields in a fastpaced, highly analytical environment (e.g., management consulting, investment banking, tech/media, or revenue/sales strategy & operations).

  
  
  
• 
  

  Direct experience in programmatic or digital advertising (publisher, platform, agency, ad tech, or consulting), with a solid understanding of SSPs/DSPs, deal types, and the broader programmatic ecosystem.

  
  
  
• 
  

  Exceptional analytical and quantitative skills - you are comfortable working with large, complex datasets, building models and forecasts, and stresstesting assumptions to arrive at sound, datadriven recommendations.

  
  
  
• 
  

  High data fluency and tool comfort - advanced proficiency in Excel/Sheets and data visualization tools (e.g., Tableau, Looker) is expected; familiarity with SQL and querying large datasets is a strong plus.

  
  
  
• 
  

  Proven experience building metrics frameworks, dashboards, and reporting that help senior leaders quickly understand business performance and make decisions, including owning definitions, documentation, and change management.

  
  
  
• 
  

  Demonstrated ability to partner closely with senior sales leaders (Director/VP+) to define strategy, build annual and quarterly plans, forecast revenue, and drive accountability against goals.

  
  
  
• 
  

  Strong structured problemsolving skills and comfort driving decisions in ambiguous, evolving situations where goals, data, or processes are not yet fully defined.

  
  
  
• 
  

  Excellent communication and storytelling skills - able to synthesize complex analyses into clear narratives, build compelling materials, and influence crossfunctional partners and senior stakeholders who may not be in your direct line of control.

  
  
  
• 
  

  Organized, detailoriented and strategically focused, with a track record of driving measurable impact in complex, matrixed, and fastmoving environments.

  
  
  
• 
  

  Bachelor's degree in a relevant field such as business, economics, statistics, engineering, or a related field, or equivalent practical experience.
  
  

  
  
  

InOffice 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 inperson collaboration at least one day per week and therefore needs to be within a commutable distance from the Los Angeles, Chicago, New York, or Seattle offices.
  
  

Relocation Statement:

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

#LI-HYBRID

#LI-AT6

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 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:

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:

City of Kirkland

$24.22 - $27.26 Hourly

Kirkland, WA

Seasonal

202100740

Parks & Community Services - PMO Supervisor 2

02/18/2026

Continuous

Non-Exempt

N/A

Seasonal Parks Laborers perform general labor tasks as assigned to contribute to the development and maintenance of City public grounds and moorage facility.

Each Laborer works as part of a team to conduct routine maintenance and park development which includes cleaning restrooms, picnic shelters, and other City facilities as well as opening and closing parks daily, addressing customer concerns as they arise, collecting garbage, and picking up litter. Depending on the team of assignment, the Seasonal Laborers perform their work under supervision to maintain park landscaping, turf, sport fields, trees, boardwalks, buildings, equipment, and natural areas undergoing habitat restoration. Please note the specific tasks listed below.

All Laborers positions will operate vehicles, equipment, and a variety of hand and small power tools as required to complete their assigned tasks.

Essential Duties

• Hand mows spaces not accessible by tractor-mowers.
• Trims grass and cuts weeds with an edger or weed eater.
• Raking leaves, spreading sand and soil, installing park benches and cleaning the docks.
• Waters vegetation on City facility grounds.
• Remove debris with mechanical blower.
• Makes garbage runs at City facilities. This includes emptying garbage cans, picking up litter and debris.
• Landscape installation to include planting, weeding and bed maintenance.

Additional Responsibilities

• Assist with hand equipment and small engine maintenance and repair.
• Set up equipment where necessary.
• Painting and staining as needed.
• Other duties as assigned.

• Basic knowledge and/or experience in landscape services.
• Basic knowledge in landscape maintenance.
• Skills to use basic mowing equipment.
• Basic knowledge in horticulture.
• Ability to read directional maps.

Minimum Qualifications

• Must maintain a valid Washington State Driver's License and maintain ability to operate a City pick-up truck.
• Must meet minimum age requirements under Department of Labor and Industries regulations (age 18).

Physical Abilities
Must be able to move objects weighing up to 50 pounds. Walk, kneel, bend for extended periods of time.

Working Conditions
Performs work outdoors in inclement weather. May work weekends or staggered schedule.

Union Affiliation
Seasonal Laborers are not represented by a union until they exceed 347 hours service. Thereafter, they are represented by the Teamsters union, with membership options that will be provided upon employment. These hours are additive from a previous year of service unless the returning employee has a break in service between seasons of twelve months or more.

Benefits
This position receives sick leave.

Selection Process
Applicants must provide a resume and cover letter describing experience and knowledge of the role. Those who meet the minimum qualifications and requirements for the advertised position(s) will be invited by phone or email to interview. Position open until filled. First review of applicants 15 days after initial post.

Candidates who are selected to interview will be required to complete a criminal background check.

The City of Kirkland is a welcoming community where every person can thrive and grow. We value diversity, inclusion, belonging, and work together to support our community. We do this by solving problems, focusing on the customer, and respecting all people who come into the City whether to visit, live, or work. As an Equal Opportunity Employer, we are committed to creating a workforce that does not discriminate on the basis of race, sex, age, color, sexual orientation, religion, national origin, marital status, genetic information, veteran status, disability, or any other basis prohibited by federal, state or local law. We encourage qualified applicants of all backgrounds and identities to apply to our job postings. Persons with a disability who need reasonable accommodations in the application or testing process, or those needing this announcement in an alternative format, may call or Telecommunications Device for the Deaf at .

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

• 
  
• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
  • 
    
  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

• 
  
• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

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. 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.

US based applicants only

The salary for this position is $12,100 monthly.

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Our Commitment to Inclusion:

Job DescriptionAt Boeing, we innovate and collaborate to make the world a better place.

We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth.

Find your future with us.The Boeing Defense, Space & Security (BDS) organization is seeking an Engineering Technical Support Tech (Associate and Mid-Level) to join the B-1 B Full Scale Fatigue Test team located in Tukwila, Washington .A successful member of this team will be responsible for managing paper and digital engineering documentation related to inspections and repairs for the Bombers B-1 B Full Scale Fatigue Test program.Position Responsibilities:Compiles, analyzes, develops and formats data by utilizing engineering standards, processes and computational tools to provide documentation that assists in the development of engineering life cycle products, services and processes.Analyzes documentation/products to verify regulatory conformance and contractual compliance.Maintains and improves products (e.g., engineering data, spreadsheets, and documentation), processes and services to ensure consistent quality of data used to accomplish engineering tasks.Creates and maintains design documentation by using company/industry standards to communicate the end product to customers.Develops and maintains engineering related user documentation to support the design of engineering systems.Maintains libraries to ensure accurate data collection for internal and external customersManages test hardware inventory, documentation and places orders for replacement hardware and materials in support of test execution as requiredOrganizes data for weekly, monthly, and annual engineering reports and test readiness reviewsThis position is expected to be 100% onsite.

The selected candidate will be required to work onsite in Tukwila, Washington.This position requires the ability to obtain a U.

S.

Security Clearance for which the U.

S.

Government requires U.

S.

Citizenship.

An interim and/or final U.

S.

Secret Clearance Post-Start may be required.Basic Qualifications (Required Skills/Experience):1 or more years of related work experienceExcellent organization and documentation skillsExcellent written, verbal communications and presentation skillsExceptional attention to detailDemonstrated ability to learn new processes quicklySkilled with MS365 office suite including Power Automate and Azure Dev OpsStrong desire to work with digital and paper engineering documentationLevel 2 Preferred Qualifications (Desired Skills/Experience):3 or more years' related work experience or an equivalent combination of education and experienceGeneral understanding of Aircraft structure and fastenersCan write code, scripts and macros in various programming languages, VBA & Python preferred but additional languages a plusSkilled at database development and can manage existing databases and develop new database tools using SQLExperience managing and organizing large libraries of digital and paper engineering documentsUnderstands machine learning tools and is skilled at creative applications of machine learning tools to accelerate engineering activitiesSkilled at digital automation of processes using Python, VBA, powershell or other coding languagesLevel 3 Preferred Qualifications (Desired Skills/Experience):General understanding of aircraft structure and fastenersGeneral understanding of aircraft mechanical structures detail part drawings5 years experience writing code, scripts and macros in various programming languages, VBA & Python preferred but additional languages a plus3 years experience with database development and can manage existing databases and develop new database tools using SQL5 years experience managing and organizing large libraries of digital and paper engineering documents3 years experience using machine learning tools and is skilled at creative applications of machine learning tools to accelerate engineering activities3 years experience performing digital automation of processes using Python, VBA, Power Shell or other coding languagesRelocation:Relocation assistance is not a negotiable benefit for this position.

Candidates must live in the immediate area or relocate at their own expense.Shift:This position is for 1st shift.Union: This is a Union represented positionDrug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.

Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Summary Pay Range Associate: $56,950
- 77,050Summary Pay Range Mid-Level: $68,850
- 93,150Applications for this position will be accepted until Mar.

23, 2026Export Control Requirements:This position must meet U.

S.

export control compliance requirements.

To meet U.

S.

export control compliance requirements, a "U.

S.

Person" as defined by 22 C.

F.

R.

§120.62 is required.

"U.

S.

Person" includes U.

S.

Citizen, U.

S.

National, lawful permanent resident, refugee, or asylee.Export Control Details:US based job, US Person requiredRelocationRelocation assistance is not a negotiable benefit for this position.Security ClearanceThis position requires the ability to obtain a U.

S.

Security Clearance for which the U.

S.

Government requires U.

S.

Citizenship.

An interim and/or final U.

S.

Secret Clearance Post-Start is required.Visa SponsorshipEmployer will not sponsor applicants for employment visa status.ShiftThis position is for 1st shiftEqual Opportunity Employer:Boeing is an Equal Opportunity Employer.

Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.