artificial intelligence engineer – remote

business intelligence engineer, aws support s&o - esso - strategy, planning & inspection (spi)

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ai/ml computational science specialist Jobs in Seattle

ai/ml computational science specialist

artificial intelligence engineer – remote Jobs in Seattle

artificial intelligence product intern Jobs in Seattle

artificial intelligence product intern

business intelligence engineer, aws support s&o - esso - strategy, planning & inspection (spi) Jobs in Seattle

data and artificial intelligence governance engagement delivery senior manager

Boeing

<div>Seattle, Washington; Ridley Park, Pennsylvania; Mesa, Arizona; North Charleston, South Carolina; Dallas, Texas
Job ID JR2026501804 Category Information Technology Role Type Hybrid Post Date Apr. 03, 2026<div> 
</div><div>Job Description
At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a Data and Artificial Intelligence Governance Engagement &amp; Delivery Senior Manager to join the team in Seattle, WA; Dallas, TX; Mesa, AZ; North Charleston, SC; or Ridley Park, PA.
We are seeking a dynamic, people-focused Senior Manager to lead Data and Artificial Intelligence (AI) Governance Engagement &amp; Delivery across the enterprise. This role combines strategic leadership, hands-on delivery, and cross-functional engagement to operationalize enterprise data and AI governance, scale data stewardship, and enable governed use of Data &amp; AI. The ideal candidate has proven experience building and running enterprise data governance programs, deep knowledge of Data and AI governance frameworks and model risk controls, strong familiarity with data platforms and governance tools, excellent collaboration and stakeholder management skills, and a demonstrated ability to lead teams and community engagement.
Position Responsibilities:<ul><li>
Lead end-to-end delivery of the enterprise data and AI governance program: strategy execution, governance operating model, policies, standards, roadmaps, and metrics</li><li>
Design, implement, and operationalize AI governance controls (model inventory, model risk assessments, model documentation, model monitoring, explainability and fairness checks) alongside data governance practices.</li><li>
Build, grow, and enable the data stewardship and model stewardship communities and governance councils; define roles, responsibilities, and operating processes for stewards</li><li>
Serve as primary engagement lead for data and AI governance initiatives with business and technology stakeholders; translate business needs into governance requirements and delivery plans</li><li>
Implement and operate data governance tooling and metadata solutions (e.g., Collibra, Alation, Microsoft Purview, Informatica Enterprise Data Catalog (EDC)) and AI governance platforms or modules in partnership with platform and engineering teams</li><li>
Collaborate with Data Platform, Data Engineering, Machine Learning (ML)/AI, Security, Legal, Privacy, and Analytics teams to integrate governance controls, ensure compliance with Data &amp; AI policies, and enable secure, responsible model deployment</li><li>
Develop and track governance Key Performance Indicators (KPIs) and dashboards (data quality, stewardship adoption, data lineage coverage, policy adherence, model inventory coverage, model validation status), and report progress to leadership</li><li>
Coach, mentor, and grow a high-performing team focused on engagement, change management, and governance delivery</li><li>
Drive change management and communication plans to increase data and AI literacy and adoption of governance practices across the organization</li><li>
Facilitate resolution of data ownership, access, model ownership, and policy interpretation issues; escalate as required</li></ul>
Basic Qualifications (Required Skills/Experience):<ul><li>
10+ years of experience in data governance, data management, and/or a related function within aerospace, defense, or other highly regulated industries</li><li>
10+ years of experience people management experience do you have, to include responsibility for performance management and career development of direct reports</li><li>
5+ years of experience in leading Data Stewardship</li><li>
5+ years of experience leading Data and Artificial Intelligence (AI) Governance Programs</li><li>
5+ years of experience collaborating and communicating to work across Information Technology and Information/Government Security Functions</li></ul>
Preferred Qualifications (Desired Skills/Experience):<ul><li>
Bachelor&rsquo;s, Master&rsquo;s or Ph.D. degree in Computer Science, Information Management, Data Science, Business Administration, or related field</li><li>
Certifications in data governance, data management, AI governance, or metadata tools (e.g., DGSP, CDMP, Collibra Certification)</li><li>
Experience in regulated industries (aerospace, finance, healthcare) or large enterprise environments</li><li>
Experience with data quality tools and practices, data modeling, and master data management</li><li>
Experience with AI-specific tooling for governance (model registries, monitoring frameworks, feature stores) and ML Ops practices</li></ul>
Conflict of Interest:
Successful candidates for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.
Drug 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.
Pay &amp; Benefits:
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.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $191,250 &ndash; $277,150 

Applications for this position will be accepted until Apr. 10, 2026 

Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift 

Equal 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.</div></div>
 <div><h2 class="jobSectionHeader">Your Benefits</h2>
No matter where you are in life, our benefits help prepare you for the present and the future.
<ul><li><div>Generous company match to your 401(k).</div></li>
<li><div>Industry-leading tuition assistance program pays your institution directly.</div></li>
<li><div>Fertility, adoption, and surrogacy benefits.</div></li>
<li><div>Up to $10,000 gift match when you support your favorite nonprofit organizations.</div></li></ul> 

These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.</div>

Data and Artificial Intelligence Governance Engagement & Delivery Senior Manager

SIDRAM TECHNOLOGIES

<div>
 
 Hi
 
 
 
 
 This is
 
 Rachael
 
 from SidRam Tech, We have an urgent position
 
 
 Sr Data Scientist @Seattle, Washington, with our Direct client. Kindly have a look at JD below and let me know your interest.
 
 
 
 
 Title: Sr Data Scientist
 
 
 
 
 Client: Savers Inc
 
 
 
 
 Location: Seattle, Washington,
 
 
 
 
 Preferred Hybrid, 2 Days a Week-
 
 
 
 Skills: Machine Learning, Azure Machine Learning, Artificial Intelligence, MLOps, AI Solution Architecture ,Microsoft Azure ,Microsoft Fabric
 
 
 Interview process: Two with Tavant + Client round
 
 
 Note: at least one in-person meeting is mandatory
 
 
 
 Job Description
 
 
 
 We are looking for a Senior Data Scientist with strong classical ML expertise to design, build, and operationalize predictive models within the
 
 Microsoft Fabric
 
 ecosystem. You will work on high-impact use cases spanning demand forecasting, risk scoring, and anomaly detection for large-scale retail environments &mdash; translating raw data signals into actionable business intelligence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end classical ML pipelines &mdash; from feature engineering to model deployment and monitoring
 </li>
 <li>
 Build demand forecasting models leveraging external data signals (weather, events, seasonality) alongside historical sales data, at store/category/SKU level with 1&ndash;14 day horizons
 </li>
 <li>
 Develop ML-based risk scoring models across multiple fraud and exception scenarios, replacing manual rule-based processes with adaptive, dynamic thresholds
 </li>
 <li>
 Deliver daily prioritized outputs (investigation lists, inventory signals) that reduce detection and decision cycles from weeks to days
 </li>
 <li>
 Own model validation, threshold tuning, false positive reduction, and ongoing performance monitoring in production
 </li>
 <li>
 Collaborate with data engineers on feature pipelines using Microsoft Fabric Lakehouse, Dataflow Gen2, and OneLake
 </li>
 <li>
 Participate in iterative pilot-to-production delivery cycles with structured feedback incorporation
 </li>
 <li>
 Communicate model outputs and business impact clearly to both technical teams and business stakeholders
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 8&ndash;12 years of hands-on Data Science experience with a strong foundation in classical ML
 </li>
 <li>
 Proficiency in supervised and unsupervised ML techniques &mdash; gradient boosting, regression, classification, anomaly detection, time-series forecasting (XGBoost, LightGBM, scikit-learn, Prophet, statsmodels)
 </li>
 <li>
 Strong hands-on experience with Microsoft Fabric &mdash; ML Experiments, Notebooks (Python/PySpark), Lakehouse, Pipelines, and Dataflow Gen2
 </li>
 <li>
 Solid Python programming skills with experience building production-grade ML code
 </li>
 <li>
 Experience with MLflow for experiment tracking, model registry, and lifecycle management (native within Fabric)
 </li>
 <li>
 Proven experience building time-series forecasting models at granular levels (store, SKU, or category)
 </li>
 <li>
 Experience with anomaly detection and risk/fraud scoring models in retail or financial domains
 </li>
 <li>
 Strong skills in feature engineering, cross-validation, model interpretability (SHAP, LIME), and drift detection
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience integrating external data enrichment sources (weather APIs, economic indicators, third-party signals)
 </li>
 <li>
 Familiarity with retail loss prevention, exception-based reporting, or shrinkage analytics
 </li>
 <li>
 Exposure to Power BI or Fabric-native reporting for operationalizing model outputs to business users
 </li>
 <li>
 Knowledge of Azure ML and its relationship with Microsoft Fabric ML capabilities
 </li>
 <li>
 Experience with irregular or non-reorderable inventory environments
 
 
 </li>
 </ul>
 
 Rachael
 
 
 
 
 IT Services | Development | Staffing
 
 
 
 
 URL: http:/www.sidramtech.com |
 
 
 
 
 Email: rachael@sidramtech.com
 
 
 
 
 Direct: 4705239688
 
 
 
 
 Led by 25+ Years of Industry Experience
 
 
 
 
 E-Verify&reg; is a registered trademark of the U.S. Department of Homeland Security.
 
 
 
 
 SIDRAM TECHNOLOGIES participates in the Employment Eligibility Verification Program (E-Verify) offered by USCIS.
 
 
 
 
 www.dhs.gov/E-Verify
 
</div>

Data Scientist

Delta Dental

<div>Are you looking for an exciting summer opportunity to gain valuable skills and make a meaningful impact across Washington state&rsquo;s communities? Support TriForza as an Artificial Intelligence Product Intern and gain hands on experience exploring how artificial intelligence can improve healthcare technology solutions. You will work on real projects based on your experience, which may include building or prototyping AI models, developing data visualizations, and researching emerging AI approaches such as agent-based workflows. Through this work, you will help evaluate how new AI capabilities could support product innovation and operational efficiency while developing key technical and professional skills in a dynamic, collaborative environment.

Skills you will gain during the internship:
<ul>
<li>Hands-on experience prototyping and evaluating artificial intelligence and machine learning solutions for healthcare technology applications.</li>
<li>Experience analyzing data and creating visualizations to communicate insights and support data-driven decision-making.</li>
<li>Exposure to emerging artificial intelligence technologies and their potential to drive innovation and improve operational efficiency.</li>
<li>Building meaningful connections with colleagues, mentors, and other professionals.</li>
<li>Engaging in workshops, training sessions, and other learning initiatives to support career development.</li>
<li>Applying academic knowledge to address real-world workplace challenges and deliver results.</li>
</ul>
Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza, are committed to improving oral and overall health across Washington state and beyond. Guided by our vision, we succeed through our deep commitment to our shared OneTeam Values: accountability, courage, curiosity, inclusion, and integrity. Our Values are at the center of the work we do and how we interact with one another.

This non-exempt internship pays an hourly rate of $28.00 and is full-time (40 hours per week). Interns are expected to work during our standard business hours, which are from 8 AM to 5 PM, Monday through Friday. Interns are typically required to work onsite at our Seattle office every Tuesday, with the option for remote work on other days based on departmental needs.

We offer interns highly competitive medical, dental, and vision plans, along with a generous 401(k) plan, wellness dollars, and transportation reimbursement for commuting to the office. Interns also receive paid holidays, paid time off, and sick time throughout their internship.

Essential Responsibilities include the following: The list of responsibilities listed is not intended to be comprehensive. Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza reserve the right to change the responsibilities at any time with or without notice.

Depending on your experience and interests, you may support projects focused on:
<ul>
<li>Collaborating with the AI product team to explore how artificial intelligence can support product development and improve healthcare technology solutions.</li>
<li>Contributing to the development or prototyping of AI and machine learning models based on your technical background and experience.</li>
<li>Creating data visualizations or analytical outputs that help surface insights and make complex data easier for internal teams or customers to understand.</li>
<li>Researching emerging AI technologies and industry trends to identify opportunities for new product capabilities or workflow improvements.</li>
<li>Synthesizing findings and developing recommendations that help the team evaluate potential AI use cases and solutions.</li>
</ul>
The experience, skills, and education needed to succeed in the position are outlined below. These requirements are representative of the knowledge, skills, and abilities required to successfully perform the essential functions of the role.
<ul>
<li>Currently pursuing an associates, bachelors, or master&rsquo;s degree in Artificial Intelligence, Machine Learning, Software Engineering, Computer Science, Informatics, Information Systems, Data Science, Data Analytics, or related field</li>
<li>Demonstrated experience tackling open-ended problems and building solutions through coursework, research, or personal projects.</li>
<li>Familiarity with current AI tools or platforms, such as ChatGPT, Claude, or similar generative AI technologies.</li>
<li>Experience using Power BI, Tableau, Excel, SQL, Python, or R to support analysis or reporting is a plus.</li>
<li>Experience with machine learning tools (PyTorch, TensorFlow, scikit-learn, NumPy, Pandas, Jupyter/Colab), Git, and computer vision tools like OpenCV is a plus.</li>
<li>Displays a high level of accountability by effectively managing tasks independently, meeting goals, and delivering high-quality work while staying dedicated to team objectives.</li>
<li>Ability to collect relevant information, assess data, and make thoughtful contributions to projects or problem-solving activities.</li>
<li>Enthusiastic about collaborating with diverse teams, contributing to an inclusive environment, and seeking opportunities for growth and improvement within the internship and organization.</li>
<li>Strong interpersonal skills, with the ability to build relationships across teams.</li>
<li>Capable of working both independently and collaboratively in team settings.</li>
</ul>
Accessibility and Accommodations for Interns: We are committed to creating an inclusive and accessible environment for all interns. If you require any accommodations during the interview process or throughout your internship, please let our Recruiting team know.

Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

We are committed to the highest standards of information security and HIPAA compliance, ensuring the confidentiality, integrity, and protection of all data. All staff are expected to support this commitment by following relevant policies.</div>

Artificial Intelligence Product Intern

Trupanion

<div>
 
 
 Company Description
 
 
 
 Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.
 
 
 
 
 
 
 Job Description
 
 
 
 The Vice President, IT Portfolio &amp; Project Management Office (PMO) serves on the technology leadership team and is responsible for driving execution across all areas of technology and gaining strategic alignment across the technology organization. Reporting directly to the CIO, this role serves as a critical strategic and operational partner&mdash;ensuring that technology strategy is translated into measurable outcomes, priorities are clear, and execution is disciplined, transparent, and predictable.
 
 
 
 
 
 This leader owns the IT PMO and acts as the connective tissue across Technology, Product, Finance, Security, Enterprise PMO, and Business leadership. They bring structure without bureaucracy, clarity without friction, and accountability without drama.
 
 
 
 
 
 **This position is open to candidates in the
 
 Seattle, WA
 
 area. You will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least
 
 3 days a week
 
 .**
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 Enterprise IT PMO Leadership
 
 
 
 <ul>
 <li>
 Build, lead, and mature a best-in-class IT PMO supporting global, cross-functional initiatives
 </li>
 <li>
 Establish and enforce standard delivery frameworks (portfolio management, program governance, agile delivery, capacity planning, financial tracking, risk management, and benefits realization)
 </li>
 <li>
 Ensure consistent execution across large-scale initiatives (platform modernization, ERP, data, security, infrastructure, AI, and digital transformation)
 </li>
 <li>
 Drive delivery excellence across waterfall, agile, and hybrid execution models
 </li>
 </ul>
 
 
 
 
 
 
 Strategic Partnership with the CIO
 
 
 
 <ul>
 <li>
 Partner closely with the CIO to translate technology vision, strategy, and priorities into executable roadmaps
 </li>
 <li>
 Support CIO operating cadence: leadership meetings, executive reviews, steering committees, and strategic planning sessions
 </li>
 <li>
 Drive alignment across CIO direct reports and proactively resolve cross-team dependencies and execution risks
 </li>
 <li>
 Track and follow through on enterprise commitments, decisions, risks, and outcomes
 </li>
 </ul>
 
 
 
 
 
 
 Portfolio, Financial &amp; Value Management
 
 
 
 <ul>
 <li>
 Own enterprise IT portfolio management, including intake, prioritization, sequencing, capacity planning, and dependency management
 </li>
 <li>
 Partner with Finance to manage IT investment governance, budgets, forecasts, and ROI tracking
 </li>
 <li>
 Establish clear metrics tied to business outcomes (delivery predictability, cost optimization, value realization, risk reduction)
 </li>
 </ul>
 
 
 
 
 
 
 Executive &amp; Board Engagement
 
 
 
 <ul>
 <li>
 Prepare executive-level communications, dashboards, and materials for ELT, Board, and Audit/Risk Committees
 </li>
 <li>
 Ensure technology initiatives are communicated in business terms (outcomes, value, risk, tradeoffs)
 </li>
 <li>
 Support CIO in board, investor, and regulatory communications as needed
 </li>
 </ul>
 
 
 
 
 
 
 Governance, Risk &amp; Accountability
 
 
 
 <ul>
 <li>
 Establish governance models that balance speed with appropriate controls
 </li>
 <li>
 Proactively identify delivery risks, execution gaps, and organizational bottlenecks
 </li>
 <li>
 Drive clear accountability while fostering a culture of trust, ownership, and continuous improvement
 </li>
 </ul>
 
 
 
 
 
 
 Leadership &amp; Talent Development
 
 
 
 <ul>
 <li>
 Build and lead a high-performing PMO organization with strong program, portfolio, and delivery leaders
 </li>
 <li>
 Coach senior leaders on execution discipline, decision-making, and delivery rigor
 </li>
 <li>
 Serve as a role model for executive presence, communication, and cross-functional collaboration
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 15+ years of experience in technology delivery, program management, or enterprise transformation
 </li>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Management Information Systems (MIS), or related technical field
 </li>
 <li>
 Prior experience leading an enterprise or global PMO
 </li>
 <li>
 Proven track record partnering directly with C-suite executives, including CIOs
 </li>
 <li>
 Experience managing complex, multi-year technology programs with material financial and operational impact
 </li>
 <li>
 Strong financial acumen (budgeting, forecasting, ROI)
 </li>
 <li>
 Exceptional executive communication and stakeholder management skills
 </li>
 <li>
 3+ years experience in JIRA
 </li>
 </ul>
 
 
 
 
 
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in regulated or complex environments (public company, SOX, PCI, HIPAA, etc.)
 </li>
 <li>
 Broad technology exposure across applications, infrastructure, data, and security
 </li>
 <li>
 MBA or advanced degree
 </li>
 </ul>
 
 
 
 
 
 
 Leadership Attributes
 
 
 
 <ul>
 <li>
 Trusted advisor with strong judgment and discretion
 </li>
 <li>
 Calm, decisive, and highly credible with senior executives
 </li>
 <li>
 Structured thinker who simplifies complexity
 </li>
 <li>
 Comfortable holding leaders accountable while maintaining strong relationships
 </li>
 <li>
 Bias for action with a relentless focus on outcomes
 </li>
 </ul>
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 Compensation
 
 
 
 <ul>
 <li>
 The pay range for this position is $200,000 to $220,000, on a full-time schedule.
 </li>
 <li>
 Along with base salary, Trupanion employees may be eligible for monthly bonuses.
 </li>
 <li>
 We want all employees to be invested in Trupanion&rsquo;s success, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years.
 </li>
 </ul>
 
 
 
 
 
 Benefits and Perks:
 
 
 <ul>
 <li>
 Full medical, dental, and vision benefits at no cost to the employee
 </li>
 <li>
 Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
 </li>
 <li>
 Five-week sabbatical after five years of employment
 </li>
 <li>
 Open, casual, pet-friendly, and fun office environment
 </li>
 <li>
 Free medical health insurance for your pet (1 dog or cat)
 </li>
 <li>
 Paid time off to volunteer at nonprofit organizations
 </li>
 <li>
 Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.
 </li>
 </ul>
 
 
 
 
 For more information about Trupanion, visit https://trupanion.com/about
 
 
 Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ
 
 
 Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.
 
 
 
 
 
 We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.
 
</div>

Vice President, Information Technology Project Management Office

PTR Global

<div>
 
 
 
 Title: Marketing Associate
 
 
 Duration: 12 months
 
 
 Location: Remote (PST Hours)
 
 
 
 Job Description:
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Audience Architecture: Build, QA, and maintain first-party and account-based audiences for demand generation campaigns across paid social, content syndication, and display channels.
 
 
 </li>
 <li>
 
 
 Platform Orchestration: Manage the flow of audience data between Demandbase, 3rd-party ad platforms, and lead validation platforms to ensure seamless campaign activation.
 
 
 </li>
 <li>
 
 
 Operational Support: Act as the primary intake lead for regional audience requests, managing general administrative needs including account permissions, campaign structure, and taxonomy adoption.
 
 
 </li>
 <li>
 
 
 Governance and Taxonomy: Ensure strict adherence to global naming conventions and data standards to guarantee accurate downstream reporting and attribution.
 
 
 </li>
 <li>
 
 
 Market Awareness: Stay current on ad-tech trends, capability updates (testing/adoption), and privacy compliance changes that impact the B2B advertising ecosystem.
 
 
 </li>
 <li>
 
 
 Team Collaboration: Socialize wins, share "test and learn" insights, and collaborate with cross-functional stakeholders to improve audience match rates and reach.
 
 
 </li>
 </ul>
 
 
 
 Technical Must-Haves:
 
 
 
 <ul>
 <li>
 
 
 Platform Operations: Proven experience building and managing audiences within a B2B Go-To-Market platform (E.g. Demandbase)
 
 
 </li>
 <li>
 
 
 Data Logic and Segmentation: Strong understanding of boolean logic and SQL-like database structures to build precise account and contact lists
 
 
 </li>
 <li>
 
 
 MarTech Orchestration: Experience pushing audiences to 3rd-party ad platforms (LinkedIn, Google, Meta).
 
 
 </li>
 <li>
 
 
 Data Hygiene and Excellence: High proficiency in Excel/Google Sheets (Vlookups, Pivot Tables) for data validation and ensuring &ldquo;good data in/good data out&rdquo;
 
 
 </li>
 <li>
 
 
 Operational Discipline: Ability to execute repetitive technical workflows with 100% accuracy and consistency.
 
 
 </li>
 <li>
 
 
 Naming Convention Governance: Strict adherence to taxonomy and naming conventions for accurate tracking and reporting.
 
 
 </li>
 </ul>
 
 
 
 Professional and People Skills:
 
 
 
 <ul>
 <li>
 
 
 Stakeholder Management: Ability to translate marketing requests into technical requirements and manage expectations on delivery timelines.
 
 
 </li>
 <li>
 
 
 Strategic Execution: Comfortable balancing "in the weeds" tactical work with the ability to see the bigger picture of the campaign's strategic goals.
 
 
 </li>
 <li>
 
 
 Agile Problem Solving: A self-starter who can pivot quickly when campaign priorities shift and troubleshoot integration errors independently.
 
 
 </li>
 <li>
 
 
 Clear Communication: Strong oral and written skills, specifically the ability to explain technical "why" behind data or audience discrepancies to non-technical partners.
 
 
 </li>
 </ul>
 
 
 
 Nice to Haves:
 
 
 
 <ul>
 <li>
 
 
 Ad Ops Background: Experience with campaign tagging, trafficking, and tracking (UTMs, pixels).
 
 
 </li>
 <li>
 
 
 Full-Stack MarTech: Familiarity with the broader ecosystem, including Google Marketing Platform (DV360 and Campaign Manager) or comparable platforms, as well as CRM (Salesforce) or Marketing Automation (Marketo/HubSpot) and how they sync with Demand-base.
 
 
 </li>
 <li>
 
 
 Closed-Loop Feedback: Basic analysis of audience reach and match rates.
 
 
 </li>
 <li>
 
 
 Optimization Mindset: A "test and learn" approach&mdash;always looking for ways to automate manual steps in the audience-building process.
 
 
 </li>
 <li>
 
 
 Governance and Privacy: Understanding of modern data privacy compliance in audience targeting.
 
 
 </li>
 </ul>
 
 
 
 Note:
 
 
 
 <ul>
 <li>
 
 
 Bill Rate with MSP fee removed: $54.41
 
 
 </li>
 <li>
 
 
 Would you like supplier engagement?: NO
 
 
 </li>
 <li>
 
 
 Will you schedule your own interviews in Fieldglass or would you like to opt-in for Staff-Up support with scheduling?
 
 
 </li>
 <li>
 
 
 Would like to opt-in for Staff-Up support!
 
 
 </li>
 <li>
 
 
 Aside from the job description, what will a typical day for this contractor look like?
 
 
 </li>
 <li>
 
 
 Typical day will likely involve building audiences in Demand-base during busy/lift/quarterly cadences, answering/triaging Slack Workflow tickets related to adding Domains, building net new audiences.
 
 
 </li>
 <li>
 
 
 Please rank your top preferred skill set:
 
 
 </li>
 <li>
 
 
 Operational Discipline: Ability to execute repetitive technical workflows with 100% accuracy and consistency.
 
 
 </li>
 <li>
 
 
 Data Hygiene and Excellence: High proficiency in Excel/Google Sheets (Vlookups, Pivot Tables) for data validation and ensuring &ldquo;good data in/good data out&rdquo;
 
 
 </li>
 <li>
 
 
 Stakeholder Management: Ability to translate marketing requests into technical requirements and manage expectations on delivery timelines.
 
 
 </li>
 <li>
 
 
 Platform Operations: Proven experience building and managing audiences within a B2B Go-To-Market platform (E.g. Demand-base)
 
 
 </li>
 <li>
 
 
 Data Logic and Segmentation: Strong understanding of boolean logic and SQL-like database structures to build precise account and contact lists.
 
 
 </li>
 <li>
 
 
 How quickly are you looking to interview/hire? By 4/1 start date, latest.
 
 
 </li>
 <li>
 
 
 Is there potential for extension of conversion to FTE? Not at this time.
 
 
 </li>
 <li>
 
 
 Please confirm location requirements: Seattle/WA (remote)
 
 
 </li>
 <li>
 
 
 Can this position be fully remote? I am remote (but in Seattle area). Most important thing for me is ideally in PT timezone for overlap.
 
 
 </li>
 <li>
 
 
 Does this worker need to be near any hubs? No, but Seattle area preferred.
 
 
 </li>
 <li>
 
 
 Any specific time zones this candidate will need to accommodate?
 
 
 </li>
 <li>
 
 
 Mostly PT, but may need to hop on calls with EMEA/APAC timezones (8am PT, 5-6pm PT) on occasion.
 
 
 </li>
 <li>
 
 
 Please confirm Interview requirements:
 
 
 </li>
 <li>
 
 
 How many interview rounds will there be?
 
 
 </li>
 <li>
 
 
 Open to suggestion, OK with 2 rounds (1 other, and then myself) if that works. Also open to just 1 round (myself) if necessary/to expedite.
 
 
 </li>
 <li>
 
 
 Will there be any assignments within the interview process? (e.g.- Assessments, tests) No.
 
 
 </li>
 <li>
 
 
 How many years of experience would you consider overqualified? 5+ in marketing/media, but would be open to exception as long as they are fully comfortable with the role and the expectation that there is likely no conversion to FTE.
 
 
 </li>
 <li>
 
 
 How many years of experience would you consider underqualified? 1 year. Mostly important to have had the required experience. Even 1-2 years could be fine. However should also be comfortable if possible in a large organization and working environment like Salesforce.
 
 
 </li>
 </ul>
 
 
 
 Must have skills:
 
 
 
 <ul>
 <li>
 
 
 Operational Discipline: Ability to execute repetitive technical workflows with 100% accuracy and consistency.
 
 
 </li>
 <li>
 
 
 Data Hygiene and Excellence: High proficiency in Excel/Google Sheets (Vlookups, Pivot Tables) for data validation and ensuring &ldquo;good data in/good data out&rdquo;
 
 
 </li>
 <li>
 
 
 Stakeholder Management: Ability to translate marketing requests into technical requirements and manage expectations on delivery timelines.
 
 
 </li>
 </ul>
 
 
 
 Teachable skills:
 
 
 
 <ul>
 <li>
 
 
 Platform Operations: Proven experience building and managing audiences within a B2B Go-To-Market platform (E.g. Demandbase)
 
 
 </li>
 <li>
 
 
 Data Logic and Segmentation: Strong understanding of boolean logic and SQL-like database structures to build precise account and contact lists
 
 
 </li>
 </ul>
 
 
 
 Optional skills:
 
 
 
 <ul>
 <li>
 
 
 Ad Ops Background: Experience with campaign tagging, trafficking, and tracking (UTMs, pixels).
 
 
 </li>
 <li>
 
 
 Full-Stack MarTech: Familiarity with the broader ecosystem, including Google Marketing Platform (DV360 and Campaign Manager) or comparable platforms, as well as CRM (Salesforce) or Marketing Automation (Marketo/HubSpot) and how they sync with Demandbase.
 
 
 </li>
 <li>
 
 
 Closed-Loop Feedback: Basic analysis of audience reach and match rates.
 
 
 </li>
 <li>
 
 
 Optimization Mindset: A "test and learn" approach&mdash;always looking for ways to automate manual steps in the audience-building process.
 
 
 </li>
 <li>
 
 
 Governance and Privacy: Understanding of modern data privacy compliance in audience targeting.
 
 
 </li>
 <li>
 
 
 Strategic Execution: Comfortable balancing "in the weeds" tactical work with the ability to see the bigger picture of the campaign's strategic goals.
 
 
 </li>
 <li>
 
 
 Agile Problem Solving: A self-starter who can pivot quickly when campaign priorities shift and troubleshoot integration errors independently.
 
 
 </li>
 <li>
 
 
 Clear Communication: Strong oral and written skills, specifically the ability to explain technical "why" behind data or audience discrepancies to non-technical partners.
 
 
 </li>
 <li>
 
 
 Any other critical details to note for our suppliers?
 
 
 </li>
 <li>
 
 
 My team is currently 10-11 FTE, and I have 7 direct reports. This role would work mostly with one of my direct reports (but I'd still be hiring manager), who owns the overall audience strategy. They need to be comfortable taking direction/managing workload, and providing viz to their direct manager. Noting as well I'm still hiring the FTE role on my team that this role would work most closely with, so they may be onboarding at the same time.
 
 
 </li>
 </ul>
 
 
 
 About the team:
 
 
 
 <ul>
 <li>
 
 
 As a part of the Media Operations team at Salesforce, you'll support the team in enabling Paid Media to launch, execute, and deliver high-performing campaigns that generate pipeline and drive business impact.
 
 
 </li>
 <li>
 
 
 If you are motivated by repeatable, scalable motions and precision-driven data work, this is the role for you. We are looking for an operational expert to help reimagine how we empower our digital performance teams and external partners to deliver best-in-class, multi-channel advertising at scale.
 
 
 
 
 </li>
 </ul>
 
 
 Pay Range: $25 - $30 per hour
 
 
 
 
 
 
 
 
 
 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
 
 
</div>

Marketing Associate

PitchBook

<div><div>At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.</div>
About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

Principal Product Managers at PitchBook are strategists and leaders. In this role, you will be a catalyst for AI-powered innovation at PitchBook &ndash; partnering across teams to help shape the future of how we harness artificial intelligence. You'll collaborate with cross-functional teams, including engineering, design, and data science, to execute a product roadmap that drives measurable outcomes. You will champion client needs, advocate for innovative solutions, and identify new opportunities to elevate PitchBook's capabilities. Additionally, you'll play a pivotal role in mentoring team members within the Product organization, fostering a culture of growth and excellence.

The Product Management team within PitchBook's Product organization works to strategically align PitchBook's product initiatives with core customer needs and ruthlessly prioritize development efforts to drive both increased user engagement and increased win rates vs competitors.

Primary Job Responsibilities:
<ul>
<li>Define the AI product vision, strategy, and roadmap to increase adoption and engagement of PitchBook products among users</li>
<li>Identify opportunities for product innovation and differentiation by working backwards from the customer journey</li>
<li>Manage the product lifecycle from ideation to launch to end-of-life</li>
<li>Collaborate with design, engineering, data science, and adjacent product teams</li>
<li>Actively define product roadmap prioritization and create business cases for new opportunities</li>
<li>Define and own measurable business and customer outcomes for your product area; set success metrics, monitor performance, and ensure product work drives demonstrable impact</li>
<li>Collaborate with engineering to understand system architecture and dependencies; evaluate technical feasibility and make informed trade-offs between complexity, scalability, and timeline</li>
<li>Partner with design to evaluate solutions against UX principles, identify experience gaps, and advocate for intuitive, accessible product experiences</li>
<li>Establish and maintain structured customer feedback loops, synthesizing insights from user interviews, support tickets, customer success, and analytics to ensure real customer needs drive product decisions</li>
<li>Support the vision and values of the company through role modeling and encouraging desired behaviors</li>
<li>Participate in various company initiatives and projects as requested</li>
</ul>
Skills and Qualifications:
<ul>
<li>Bachelor's degree in Computer Science, Finance, or related field. Post graduate degrees or certifications are preferred</li>
<li>8+ years of experience as product manager or position with similar impact
</li><li>8+ years customer driven product management experience creating product strategy, roadmaps, aligning stakeholders, and setting product vision</li>
<li>Experience influencing senior and executive leadership through data-driven insights</li>
<li>Experience in data products, analytics platforms, or B2B SaaS at scale. CFA, CAIA or Financial industry experience is preferred</li>
<li>Ability to communicate complex ideas with clarity and conviction; crafts compelling narratives tailored to diverse audiences, from engineers to executives</li>
<li>Proven ability to collaborate with clients and cross-functional teams to drive user-centric product innovation</li>
<li>Self-directed: sets and meets deadlines, multi-tasks, and prioritizes in a fast-paced environment</li>
<li>Strong bias for action and a proactive mindset toward problem-solving</li>
<li>Track record of mentoring product managers and contributing to team growth and PM craft</li>
<li>Ability to leverage tools (SQL, Tableau, financial modeling tools, MixPanel, FullStory) to analyze data and drive informed product decisions</li>
<li>Solid understanding of the convergence of private and public markets and a passion for staying ahead of industry trends</li>
<li>Familiarity with system architecture concepts, data pipelines, and the ability to partner effectively with engineering on technical trade-offs</li>
<li>Must be authorized to work in the United States without the need for visa sponsorship now or in the future</li>
</ul>
Benefits + Compensation at PitchBook:

Physical Health
<ul>
<li>Comprehensive health benefits</li>
<li>Additional medical wellness incentives</li>
<li>STD, LTD, AD&amp;D, and life insurance</li>
</ul>
Emotional Health
<ul>
<li>Paid sabbatical program after four years</li>
<li>Paid family and paternity leave</li>
<li>Annual educational stipend</li>
<li>Ability to apply for tuition reimbursement</li>
<li>CFA exam stipend</li>
<li>Robust training programs on industry and soft skills</li>
<li>Employee assistance program</li>
<li>Generous allotment of vacation days, sick days, and volunteer days</li>
</ul>
Social Health
<ul>
<li>Matching gifts program</li>
<li>Employee resource groups</li>
<li>Subsidized emergency childcare</li>
<li>Dependent Care FSA</li>
<li>Company-wide events</li>
<li>Employee referral bonus program</li>
<li>Quarterly team building events</li>
</ul>
Financial Health
<ul>
<li>401k match</li>
<li>Shared ownership employee stock program</li>
<li>Monthly transportation stipend</li>
</ul>
<ul><li>Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.</li></ul>

Compensation
<ul>
<li>Annual base salary: $175,076-$237,475</li>
<li>Target annual bonus percentage: 15%</li>
</ul>
Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments&mdash;those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices&mdash;that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1 
#LI-Onsite</div>

Principal Product Manager, Deal Sourcing

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online &ndash; providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel 
 
Sellers&rsquo; trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazon&rsquo;s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.
 
 
The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient &amp; automated processes. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don&rsquo;t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
 
 
Key job responsibilities 
In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational excellence. 
 
The ideal candidate brings deep expertise in big data technologies, strong data modeling and problem-solving skills, and a track record of delivering scalable, maintainable data systems. If you&rsquo;re excited by the challenge of shaping data platforms that support real-world hardware, software, and operations, this is the role for you. 
 
A day in the life 
<ul><li>Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.</li><li>Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.</li><li>Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.</li><li>Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.</li><li>Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).</li><li>Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.</li><li>Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.</li><li>Mentor junior engineers and contribute to team hiring and onboarding</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, SPTC

Explore 389+ Data and artificial intelligence governance engagement delivery senior manager in Seattle this April. Find roles across top companies and apply now to boost your career.