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artificial intelligence product intern

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

Software Engineer, Machine Learning

Metropolis Technologies

<div>
 
 Who We Are
 
 
 
 The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy &mdash; a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn&rsquo;t coming; it&rsquo;s here, and we need builders, innovators and problem solvers to help us create it.
 
 
 
 Who You Are
 
 
 
 Metropolis is seeking a Vice President of Aviation Growth to join our team. This is a critical leadership position responsible for developing and executing the growth and commercial strategy for the aviation segment. This leader will shape the long-term vision and roadmap for profitable growth in Metropolis&rsquo; aviation sector, bringing together data-driven insights, commercial strategy, and ecosystem partnerships. The Vice President of Aviation Growth will drive the commercial and strategic expansion of Metropolis&rsquo; aviation sector. This leader develops long-term growth plans, scales innovative offerings, forges key partnerships, and steers M&amp;A and business development to achieve market leadership and profitability.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Scale the &ldquo;Value Add Services&rdquo; offering by leading strategy and execution to grow airport revenue services and SaaS income, integrating pricing, reservations, and marketing capabilities
 </li>
 <li>
 Scale the Aviation B2C business by relaunching the Aviation B2B Segment product with strong marketing and channel strategies
 </li>
 <li>
 Build strategic partnerships by developing collaborations with airlines, airport tech providers, and service partners to expand distribution and capabilities
 </li>
 <li>
 Define aviation vision by co-leading the unified product and service roadmap for aviation offerings, including parking and value-added services
 </li>
 <li>
 Own the aviation business plan by creating and maintaining a 5-year financial and strategic plan in partnership with Sales and Finance
 </li>
 <li>
 Establish growth reporting by developing dashboards and reporting frameworks to track aviation performance and KPIs
 </li>
 <li>
 Lead the M&amp;A strategy by identifying and evaluating acquisition opportunities that strengthen the aviation portfolio
 </li>
 <li>
 Own and drive thought leadership by representing Metropolis in industry forums and publishing insights on aviation innovation and AI-driven growth
 
 
 </li>
 </ul>
 
 What we're looking for
 
 
 
 <ul>
 <li>
 15+ years in aviation, mobility, transportation, travel, or technology sectors with proven commercial growth leadership
 </li>
 <li>
 Bachelor's degree or equivalent experience
 </li>
 <li>
 Strong background in strategy, business development, partnerships, and P&amp;L management
 </li>
 <li>
 Skilled in financial modeling, data-driven decision-making, and market analysis
 </li>
 <li>
 Demonstrated ability to manage cross-functional teams and drive organizational alignment
 </li>
 <li>
 Excellent presentation and stakeholder management skills
 
 
 </li>
 </ul>
 
 While not required, these are a plus:
 
 
 
 <ul>
 <li>
 MBA or equivalent preferred
 
 
 </li>
 </ul>
 
 4 Days in Office:
 
 Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.
 
 
 When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $280,000.00 USD to $310,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.
 
 
 
 Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate&rsquo;s application relative to the required job qualifications and responsibilities listed in the job posting.
 
 
 
 
 As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
 
 
 
 
 Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
 
 
 
</div>

Vice President, Aviation Growth

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

<div>
 Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
 
 
 Software Engineer, Infrastructure Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
 </li>
 <li>
 Implement custom user interfaces using latest programming techniques and technologies
 </li>
 <li>
 Develop reusable software components for interfacing with back-end platforms
 </li>
 <li>
 Analyze and optimize code for quality, efficiency, and performance
 </li>
 <li>
 Lead complex technical or product efforts and provide technical guidance to peers
 </li>
 <li>
 Architect efficient and scalable systems that drive complex applications
 </li>
 <li>
 Identify and resolve performance and scalability issues
 </li>
 <li>
 Work on a variety of coding languages and technologies
 </li>
 <li>
 Establish ownership of components, features, or systems with expert end-to-end understanding
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 Experience building maintainable and testable code bases, including API design and unit testing techniques
 </li>
 <li>
 Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
 </li>
 <li>
 6+ years of programming experience in a relevant language or 3+ years of experience + PhD
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience building and shipping high quality work and achieving high reliability
 </li>
 <li>
 Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
 </li>
 <li>
 Experience owning a component, feature or system
 </li>
 <li>
 Experience in programming languages such as C, C++, Java
 </li>
 <li>
 Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
 </li>
 <li>
 Exposure to architectural patterns of large scale software applications
 </li>
 <li>
 6+ years relevant experience building large-scale infrastructure applications or similar experience
 </li>
 <li>
 Experience with scripting languages such as Python, Javascript or Hack
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $74.04/hour to $217,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
</div>

Software Engineer, Infrastructure

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

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
 
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Data Scientist

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