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principal product manager

Wiser Solutions

<div>Company Description 
Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store and online. Our Commerce Execution Suite is available globally. 
Job Description 
LOCATION: This position can be based anywhere in Canada, with a preference for someone in the eastern or central time zone who can work with our teams in the US, Europe and India.
ABOUT THE ROLE
Wiser Solutions is seeking a Principal Machine Learning Engineer to shape and execute our AI and data science strategy. This is a senior technical leadership role for someone who combines deep expertise in machine learning, data science, and production engineering with the business acumen to translate complex capabilities into customer value.
You will be the technical authority for AI at Wiser: defining architectural direction, representing our capabilities to customers and partners, and delivering production systems that drive measurable business outcomes. This role requires someone who operates fluidly between strategic planning and hands-on implementation, who can present to executives and debug production pipelines in the same week.
We're building an AI-native engineering culture at Wiser, one where AI tools and techniques are woven into how we work, not just what we build. We need a Principal AI Engineer who doesn't just deliver AI products but models AI-augmented ways of working and helps the broader engineering organization adopt them. If you believe AI is fundamentally transforming software development and you're already living that transformation daily, we want to talk.
What You Will Do
Strategic Leadership<ul><li>
Define and evolve Wiser's AI and data science technical strategy in partnership with product and business leadership</li><li>
Represent Wiser's AI capabilities to customers, partners, and advisors&mdash;articulating our approach, roadmap, and differentiation</li><li>
Identify high-impact opportunities where AI can solve customer problems or create competitive advantage</li><li>
Establish technical standards, patterns, and best practices that influence engineering decisions across the organization</li></ul>
Technical Execution<ul><li>
Architect and build production AI systems including LLM applications, RAG pipelines, semantic search, and traditional ML models</li><li>
Design rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable results</li><li>
Bridge classical data science approaches (statistical modeling, experimentation design, feature engineering) with modern generative AI techniques</li><li>
Own technical quality for AI systems end-to-end: from data pipelines through model deployment to production observability</li></ul>
Cross-Functional Impact<ul><li>
Partner with product management to translate business requirements into technical approaches and validate solutions against customer needs</li><li>
Mentor and elevate the AI/data science team (3-5 engineers), raising the technical bar through code review, architecture guidance, and knowledge transfer</li><li>
Collaborate across engineering teams to integrate AI capabilities into Wiser's broader platform architecture</li><li>
Drive build-vs-buy decisions and vendor evaluations for AI infrastructure and tooling</li><li>
Champion AI-native development practices across Wiser engineering&mdash;demonstrating how AI tools accelerate development, improve code quality, and change what's possible</li><li>
Help build an engineering culture where AI augmentation is the default, not the exception</li></ul> 

Qualifications 
<ul><li>
15+ years of experience in data science, machine learning, or ML engineering, with demonstrated progression into technical leadership</li><li>
Deep expertise in statistical methods, experimental design, and classical ML (not just LLM integration)</li><li>
Proven ability to architect and deliver production ML/AI systems at scale on cloud platforms (AWS strongly preferred)</li><li>
Strong software engineering fundamentals: you write production-quality code, not just notebooks</li><li>
Track record of organization-wide technical influence&mdash;setting standards, driving architectural decisions, mentoring engineers</li><li>
Experience communicating technical strategy and capabilities to non-technical stakeholders, including customers and executives</li><li>
Demonstrated ability to operate autonomously, identify high-impact problems, and drive initiatives without close direction</li><li>
Active, daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot) and a demonstrated belief that AI fundamentally changes how software gets built</li></ul>
Technical Depth Expected:<ul><li>
NLP and text analytics: embeddings, semantic similarity, classification, entity extraction, and information retrieval</li><li>
LLM integration patterns: prompt engineering, RAG architectures, agent frameworks, evaluation methods</li><li>
Data engineering: pipeline design, data quality, feature stores, and working with large-scale datasets</li><li>
MLOps: model deployment, monitoring, A/B testing infrastructure, and production observability</li><li>
Python ecosystem mastery; SQL fluency; comfort with distributed systems concepts</li></ul>
Preferred:<ul><li>
Experience with transformer architectures, fine-tuning, or training custom models</li><li>
Background in retail, e-commerce, or product data domains</li><li>
Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex) and vector databases</li><li>
Track record of introducing AI-augmented workflows to teams or organizations</li><li>
Opinions (and evidence) on how AI changes engineering practices, team structures, or development processes</li></ul>
What Success Looks Like
First 90 Days: Deep understanding of Wiser's data assets, current AI capabilities, and customer use cases. Identified 2-3 high-impact technical opportunities. Established credibility with the team through hands-on contribution and technical guidance.
First 6 Months: Delivered at least one significant AI capability to production with measurable customer impact. Documented and socialized architectural standards for AI development. Shaped our AI roadmap based on customer needs and technical opportunity.
Supervisory Responsibility: None 
Additional Information 
Other Duties
This position may require being on call rotation to address critical production application issues outside of normal working hours.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
EEO STATEMENT - Wiser Solutions, Inc. is an Equal Opportunity Employer and prohibits Discrimination, Harassment, and Retaliation of any kind. Wiser Solutions, Inc. is committed to the principle of equal employment opportunity for all employees and applicants, providing a work environment free of discrimination, harassment, and retaliation. All employment decisions at Wiser Solutions, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, national origin, family or parental status, disability, genetics, age, sexual orientation, veteran status, or any other status protected by the state, federal, or local law. Wiser Solutions, Inc. will not tolerate discrimination, harassment, or retaliation based on any of these characteristics.
Base pay is one part of our total compensation package. Pay is established on an individual basis after considering multiple factors such as relevant experience, education, and other qualifications. In addition, we take into account geographical differentials and make sure pay is equitable with our current staff. For this position, our hiring range for base annual pay is estimated to be USD$155,000 to $170,000, at the time of this posting.
Performance-based discretionary bonuses and variable pay plans are available for some positions.
If you require accommodation to complete any part of the application process or need an alternative manner to apply, please contact us at USTalentAcquisition@wiser.com or call (855) 469-4737. &quot;
#LI-Remote</div>

Principal Machine Learning Engineer

Whoop

<div><div><div>At WHOOP, we design products that are worn continuously, through training, sleep, travel, and everyday life. Our hardware needs to feel effortless and dependable, delivering meaningful insight while quietly doing its job in the background.</div><div></div><div> 
We&rsquo;re looking for a Product Manager II, Hardware who cares deeply about building things well. Someone who values thoughtful tradeoffs, appreciates the details, and enjoys working closely with engineers to shape products that perform reliably in the real world.</div><div></div><div> 
In this role, you&rsquo;ll partner with Mechanical, Electrical, Embedded, Signal Processing, and Operations teams to guide hardware programs from early exploration through mass production. You&rsquo;ll help define product requirements, clarify priorities, and support teams in delivering devices that balance performance, comfort, durability, and power efficiency.</div><div></div><div> 
This is an opportunity to help shape the next generation of WHOOP hardware with intention.</div></div><div></div><div><div><h3 class="jobSectionHeader"> 
RESPONSIBILITIES:
</h3><ul><ul><li>Define clear, prioritized hardware product requirements grounded in member insight and data</li><li>
Shape system-level product decisions across sensing, power, form factor, durability, and reliability</li><li>
Evaluate technical tradeoffs with engineering and establish principled product direction</li><li>
Align cross-functional partners around scope, priorities, and measurable success criteria</li><li>
Contribute to roadmap planning and long-term hardware platform evolution</li><li>
Monitor in-market performance and use learnings to inform continuous improvement</li></ul></ul></div></div><div><div><h3 class="jobSectionHeader">
QUALIFICATIONS:</h3><ul><ul><li>
2+ years of hardware product management experience, ideally in consumer electronics, wearables, or connected devices</li><li>
Bachelor&rsquo;s degree in Electrical, Mechanical, or related Engineering discipline</li><li>
Experience contributing to hardware products from concept through production</li><li>
Strong systems thinking across sensing technologies, power management, embedded systems, and manufacturability constraints</li><li>
Ability to translate technical complexity into clear product requirements and decisions</li><li>
Thoughtful, structured communicator who works effectively across engineering, design, operations, and business teams</li></ul></ul></div></div><div><div>
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.</div><div></div><div> 
Interested in the role, but don&rsquo;t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.</div><div></div><div> 
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.</div><div></div><div> 
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company&rsquo;s long-term growth and success.</div><div></div><div> 
The U.S. base salary range for this full-time position is $125,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate&rsquo;s specific qualifications, expertise, and alignment with the role&rsquo;s requirements.</div></div></div>

Product Manager II, Hardware

Digital Realty

<div>Position Title:
Product Management &mdash; Portal Support &amp; Training Specialist
Location:
<div>New York, NY | Clifton, NJ | Piscataway, NJ |Boston / Needham, MA | Ashburn, VA | Washington, DC | Miami, FL | Charlotte, NC | Atanlta, GA | open for Remote 
</div>Your role
The Portal Support &amp; Training Specialist is responsible for supporting internal stakeholders and customers using Digital Portals. This includes troubleshooting technical issues, guiding users through portal functionalities, and ensuring a seamless customer experience. The role also develops training materials and delivers training sessions that help stakeholders maximize the value of the portal.
 
You will work closely with cross-functional teams, gather user insights, and help continuously improve the Digital Realty Portal ecosystem. 
What you&rsquo;ll do
<ul><li>Respond to customer and internal team inquiries related to portal functionality.
</li><li>Troubleshoot and resolve portal issues efficiently, escalating when needed.
</li><li>Develop and deliver training programs, including webinars, workshops, and one-on-one training sessions.
</li><li>Create and maintain user documentation, including guides, FAQs, and troubleshooting resources.
</li><li>Engage proactively with stakeholders to gather feedback and identify improvement opportunities.
</li><li>Provide insights and recommendations to the Portal Product Manager based on usage trends and user needs.
</li><li>Collaborate with IT, product development, and customer service teams to ensure cohesive support.
</li><li>Prepare and present reports on support volume, trends, customer satisfaction, and training outcomes.
</li>Support continuous improvement efforts by advocating for customer-centric enhancements. 
<li>
</li></ul>What you&rsquo;ll need
<ul><li>Bachelor&rsquo;s degree in Business or a related field.
</li><li>At least 3 years of experience in customer support or training, ideally in a technical environment.
</li><li>Strong troubleshooting and analytical skills.
</li><li>Excellent communication and presentation abilities.
</li><li>Ability to create clear training and support documentation.
</li><li>Proficiency with customer support software and tools.
</li><li>Strong organizational and time-management skills.
</li><li>Customer-focused mindset with strong attention to detail.
</li><li>Adaptability and comfort working in a fast-paced, global environment.
</li>Willingness to occasionally travel for training sessions and support global time zones as needed. 
<li>
</li></ul>A bit about us
Digital Realty brings companies and data together by delivering the full spectrum of data center, colocation and interconnection solutions. PlatformDIGITAL&reg;, the company&rsquo;s global data center platform, provides customers with a secure data meeting place and a proven Pervasive Datacenter Architecture (PDx&reg;) solution methodology for powering innovation and efficiently managing Data Gravity challenges. Digital Realty gives its customers access to the connected data communities that matter to them with a global data center footprint of 300+ facilities in 50+ metros across 25+ countries on six continents. 
What we can offer you
Our rapidly evolving business sector offers the opportunity to be part of a courageous and passionate team who work together to understand and meet the changing needs of our global customers.
Join us and you&rsquo;ll be part of a supportive and inclusive environment where you can bring your whole self to work. As part of our team, you&rsquo;ll get to work with people from different business areas, challenge the way we do things and put your ideas into action. We&rsquo;ll also give you plenty of development opportunities so you can build a rewarding and successful career with us.
Apply today, take charge of your career and grow your talents with us. 
Health and Safety
Safety isn't just a priority here at Digital; it's critical to everything we do. Safeguarding lives, protecting assets, and securing data aren't just ideals - they're essential pillars of our commitment to excellence for our people, our partners and our customers. We have a culture of care where every member of Team Digital embraces a relentless pursuit of working safely across Digital Realty. Together we are Safely Powering Progress. 
Our Compensation Philosophy
Digital Realty offers its employees a highly competitive compensation package, excellent benefits, and an environment that recognizes and rewards your contributions. Central to our compensation philosophy is rewarding our employees for achieving the values and objectives aligned to the company's overall goals and values.
Our published pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and geographical location. Individual pay is based on additional factors including but not limited to job-related skills, experience, and relevant education and/or training. Moreover, an employee&rsquo;s total compensation package varies by role and may include salary, cash bonus or commissions, and equity awards not quantified below.
Compensation range: $110,000 &ndash; $130,000 annually.
 
This compensation range represents the Company&rsquo;s good faith belief as to what it will pay as a base salary/hourly rate for this position at the time of this posting.
Benefits: For this role, Benefits include medical, dental, vision, life and AD&amp;D insurance, 401k match, disability benefits, wellness and education benefits, employee stock purchase plan, paid time off, holidays, and more.</div>

Product Manager

Vertex Pharmaceuticals

<div>Job Description
We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data &amp; AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data &ldquo;at their fingertips&rdquo;, with the patterns and technology to support AI adoption at scale.
As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex&rsquo;s enterprise platform for data &amp; AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.
Key Duties &amp; Responsibilities:
<ul><li>Platform Management &ndash; Design, support, and continuously enhance Vertex&rsquo;s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.
</li></ul><ul><li>Design and Build &ndash; Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.
</li></ul><ul><li>Reference Implementations &ndash; Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.
</li></ul><ul><li>Delivery Management &ndash; Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.
</li></ul><ul><li>Solution Packaging &ndash; Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.
</li></ul><ul><li>Team Enablement &ndash; Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.
</li></ul><ul><li>Technology Champion &ndash; Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex&rsquo;s technological capabilities to support future growth.
</li></ul><ul><li>Innovation Champion &ndash; Identify and implement process enhancements and opportunities to improve Vertex&rsquo;s data and AI platform, ensuring alignment with best practices and industry standards.
</li></ul><ul><li>Enablement Champion &ndash; Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.
</li></ul>Knowledge and Skills:
<ul><li>Technical Expertise &ndash; Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
</li><li>Workflow Tools &ndash; Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
</li><li>Product and Solution Management &ndash; Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.
</li></ul><ul><li>Project Management &ndash; Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.
</li></ul><ul><li>Team Collaboration &ndash; Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.
</li></ul><ul><li>Mentorship and Support &ndash; Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.
</li></ul><ul><li>Adaptability and Problem-Solving &ndash; Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.
</li></ul><ul><li>Communication Skills &ndash; Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.
</li></ul>Education and Experience:
<ul><li>Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
</li><li>Strong experience working with AI/ML and GenAI products
</li></ul><ul><li>5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
</li><li>Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience
</li></ul>Pay Range:
$188,000 - $282,000
Disclosure Statement:
<div><div><div><div><div><div><div><div>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</div></div></div></div></div></div></div></div>Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</div>

Senior Principal AI Platform Engineer, Data & AI Platform

Pragmatike

<div>
 
 Location:
 
 Cambridge, MA (Eastern Time / UTC -4)
 
 Relocation package available
 
 
 
 
 Start date:
 
 ASAP
 
 
 
 Languages:
 
 English (required)
 
 
 
 About The Role
 
 
 
 Pragmatike is hiring on behalf of a
 
 fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital
 
 , founded by MIT CSAIL researchers.
 
 
 We are seeking a
 
 Staff / Principal ML Ops Engineer
 
 to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.
 
 
 You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are
 
 robust, efficient, automated, and production-grade
 
 . This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.
 
 
 
 What Youll Do
 
 
 
 <ul>
 <li>
 Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
 </li>
 <li>
 Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
 </li>
 <li>
 Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
 </li>
 <li>
 Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
 </li>
 <li>
 Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.
 </li>
 <li>
 Collaborate with researchers to productionize models and accelerate training/inference pipelines.
 </li>
 <li>
 Establish ML Ops best practices, internal standards, and cross-team tooling.
 </li>
 <li>
 Mentor engineers and influence architectural direction across the entire AI platform.
 
 
 
 </li>
 </ul>
 
 What Were Looking For
 
 
 
 <ul>
 <li>
 Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).
 </li>
 <li>
 Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
 </li>
 <li>
 Proficiency with Python and familiarity with TypeScript or Go for platform integration.
 </li>
 <li>
 Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)
 </li>
 <li>
 Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).
 </li>
 <li>
 Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries.
 </li>
 <li>
 Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience deploying and operating LLMs and generative models in production at enterprise scale.
 </li>
 <li>
 Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
 </li>
 <li>
 Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
 </li>
 <li>
 Prior startup experience or comfort operating with ambiguity and high ownership.
 </li>
 <li>
 Experience working with data engineering, feature pipelines, or real-time ML systems.
 
 
 
 </li>
 </ul>
 
 Why This Role Will Pivot Your Career
 
 
 
 <ul>
 <li>
 Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
 </li>
 <li>
 Customer impact: Deploy AI solutions powering Fortune 500 clients.
 </li>
 <li>
 Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).
 </li>
 <li>
 Funding &amp; growth: Oversubscribed seed round, next funding in 2026.
 </li>
 <li>
 Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
 </li>
 <li>
 Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.
 </li>
 <li>
 Aspirational impact: Solve AI performance challenges few engineers ever face.
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary &amp; equity options
 </li>
 <li>
 Sign-on bonus
 </li>
 <li>
 Health, Dental, and Vision
 </li>
 <li>
 401k
 
 
 
 </li>
 </ul>
 
 
 Pragmatike
 
 
 
 is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
 
</div>

Principal AI/ML Engineer

Beth Israel Lahey Health

Boston, MA &bull; Beth Israel Deaconess Medical Center &bull; Full-time &bull; Day
 <div>When you join the growing BILH team, you're not just taking a job, you&rsquo;re making a difference in people&rsquo;s lives.

Responsible for screening research subjects for participation in clinical research projects, enrolling research subjects onto these studies, monitoring protocol implementation, completing required forms and reporting results. Works closely with other clinical research staff.

Job Description:

Primary Responsibilities:

1. Independently or in conjunction with other clinical research staff and/or research nurse, recruits and enrolls research subjects onto clinical research projects according to study protocols. May assess research subjects' eligibility for inclusion in a particular protocol based on contracts with physicians and nurses and knowledge of the protocol. (essential)

2. Checks all eligibility and ineligibility criteria with the research subjects' medical record. Verifies information with clinical research nurse and/or principal investigator. (essential)

3. Discusses informed consent with research subjects. Interacts with research subjects prior to entering the study and throughout the entire treatment. Assists with scheduling appointments and follow up tests. (essential)

4. Learns protocol and monitors strict adherence to protocols by physicians, nurses and research subjects. Reviews protocol requirements with physicians, nurses and fellows. Identifies any problems with protocol compliance and notifies principal investigator and/or research nurse. Begins to learn how to independently resolve problems with protocol. (essential)

5. Extracts data on protocol subjects from hospital records, outpatient charts and private physician office records in order to complete case report forms required by specific protocols. Enters data into computerized system. (essential)

6. Assists clinic staff in obtaining insurance approval for subject protocol participation and scheduling tests and arranging admissions or outpatient visits for subjects. (essential)

7. Assists investigator with correspondence with IRB. (essential)

Required Qualifications:
<ul>
<li>Bachelor's degree required.
</li>
<li>0-1 year of related work experience required.
</li>
<li>Medical terminology.
</li>
<li>Working knowledge of computer systems required, including web-based applications and some Microsoft Office applications, which may include Outlook, Word, Excel, PowerPoint or Access.
</li>
</ul>Competencies:

Decision Making: Ability to make decisions that are based on specific instructions, standard practices and established procedures which generally require little or no supervision.

Problem Solving: Ability to address problems that are routine, somewhat repetitive and generally solved by following clear directions and procedures and by identifying opportunities for process improvements.

Independence of Action: Ability to follow general instructions and procedures as provided. Work is monitored by supervisor/manager.

Written Communications: Ability to communicate clearly and effectively in written English with internal and external customers.

Oral Communications: Ability to comprehend and converse in English to communicate effectively with medical center staff, patients, families and external customers.

Knowledge: Ability to demonstrate full working knowledge of standard concepts, practices, procedures and policies with the ability to use them in varied situations.

Teamwork: Ability to work collaboratively in small teams to improve the operations of immediate work group by offering ideas, identifying issues, and respecting team members.

Customer Service: Ability to provide a high level of customer service to patients, visitors, staff and external customers in a professional, service-oriented, respectful manner using skills in active listening and problem solving. Ability to remain calm in stressful situations.

Physical Requirements: 
Light work: Exerting up to 20 pounds of force frequently to move objects. Some elements of the job are sedentary, but the employee will be required to stand for periods of time or move throughout the hospital campus. 


Pay Range:
$19.23 &ndash; $28.37

The pay range listed for this position is the base hourly wage range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law. Compensation may exceed the base hourly rate depending on shift differentials, call pay, premium pay, overtime pay, and other additional pay practices, as applicable to the position and in accordance with the law.

<h2 class="jobSectionHeader">As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.</h2>

<h2 class="jobSectionHeader">More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.</h2>

<h2 class="jobSectionHeader">Equal Opportunity Employer/Veterans/Disabled</h2></div>
 <div><h3 class="jobSectionHeader">Job details</h3>
<ul><li><div>Employment: Full-time</div></li>
<li><div>Hours/Week: 40</div></li>
<li><div>Shift: Day</div></li>
<li><div>Category: Medical/Clinical Research</div></li>
<li><div>Pay Range: $19.23 - $28.37</div></li>
<li><div>FLSA: Non-Exempt</div></li>
<li><div>Req ID: JR92310</div></li></ul></div>

Clinical Research Coordinator – Stephenson Clinical Research

Boston, MA &bull; Beth Israel Deaconess Medical Center &bull; Full-time &bull; Day
 <div>When you join the growing BILH team, you're not just taking a job, you&rsquo;re making a difference in people&rsquo;s lives.

Job Description:

Primary Responsibilities:

1. Independently or in conjunction with other clinical research staff and/or research nurse, recruits and enrolls research subjects onto clinical research projects according to study protocols. May assess research subjects' eligibility for inclusion in a particular protocol based on contracts with physicians and nurses and knowledge of the protocol. (essential)

2. Checks all eligibility and ineligibility criteria with the research subjects' medical record. Verifies information with clinical research nurse and/or principal investigator. (essential)

3. Discusses informed consent with research subjects. Interacts with research subjects prior to entering the study and throughout the entire treatment. Assists with scheduling appointments and follow up tests. (essential)

4. Learns protocol and monitors strict adherence to protocols by physicians, nurses and research subjects. Reviews protocol requirements with physicians, nurses and fellows. Identifies any problems with protocol compliance and notifies principal investigator and/or research nurse. Begins to learn how to independently resolve problems with protocol. (essential)

5. Extracts data on protocol subjects from hospital records, outpatient charts and private physician office records in order to complete case report forms required by specific protocols. Enters data into computerized system. (essential)

6. Assists clinic staff in obtaining insurance approval for subject protocol participation and scheduling tests and arranging admissions or outpatient visits for subjects. (essential)

7. Assists investigator with correspondence with IRB. (essential)

8. As needed, may function in areas/clinics performing job duties related to clinical research studies.

Required Qualifications:
<ul>
<li>Bachelor's degree required.
</li>
<li>0-1 year of related work experience required.
</li>
<li>Medical terminology.
</li>
<li>Working knowledge of computer systems required, including web-based applications and some Microsoft Office applications, which may include Outlook, Word, Excel, PowerPoint or Access.
</li>
</ul>Competencies:

Decision Making: Ability to make decisions that are based on specific instructions, standard practices and established procedures which generally require little or no supervision.

Problem Solving: Ability to address problems that are routine, somewhat repetitive and generally solved by following clear directions and procedures and by identifying opportunities for process improvements.

Independence of Action: Ability to follow general instructions and procedures as provided. Work is monitored by supervisor/manager.

Written Communications: Ability to communicate clearly and effectively in written English with internal and external customers.

Oral Communications: Ability to comprehend and converse in English to communicate effectively with medical center staff, patients, families and external customers.

Knowledge: Ability to demonstrate full working knowledge of standard concepts, practices, procedures and policies with the ability to use them in varied situations.

Teamwork: Ability to work collaboratively in small teams to improve the operations of immediate work group by offering ideas, identifying issues, and respecting team members.

Customer Service: Ability to provide a high level of customer service to patients, visitors, staff and external customers in a professional, service-oriented, respectful manner using skills in active listening and problem solving. Ability to remain calm in stressful situations.

Physical Requirements: 
Light work: Exerting up to 20 pounds of force frequently to move objects. Some elements of the job are sedentary, but the employee will be required to stand for periods of time or move throughout the hospital campus. 


Pay Range:
$19.23 &ndash; $28.37

The pay range listed for this position is the base hourly wage range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law. Compensation may exceed the base hourly rate depending on shift differentials, call pay, premium pay, overtime pay, and other additional pay practices, as applicable to the position and in accordance with the law.

<h2 class="jobSectionHeader">As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.</h2>

<h2 class="jobSectionHeader">More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger.</h2>

<h2 class="jobSectionHeader">Equal Opportunity Employer/Veterans/Disabled</h2></div>
 <div><h3 class="jobSectionHeader">Job details</h3>
<ul><li><div>Employment: Full-time</div></li>
<li><div>Hours/Week: 40</div></li>
<li><div>Shift: Day</div></li>
<li><div>Category: Medical/Clinical Research</div></li>
<li><div>Pay Range: $19.23 - $28.37</div></li>
<li><div>FLSA: Non-Exempt</div></li>
<li><div>Req ID: JR92512</div></li></ul></div>

Clinical Research Coordinator I (CRC I) in Radiology

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