ai/ml product manager

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency.
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AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes.
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You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium.
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To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions.
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The Ideal Candidate
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The ideal candidate will have solid understanding of large-scale model training, distributed training architectures, post-training workflows, and reinforcement learning. They should be able to assess technical implications of training software stack decisions, understand customer needs, and drive developer experience improvements. The ideal candidate can navigate ambiguity in a fast-moving, early-stage initiative, balance competing priorities across multiple workstreams, and drive alignment across engineering and science stakeholders with excellent written and verbal communication abilities<br>
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Key job responsibilities<br>
Training Product Strategy &amp; Roadmap
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Define and execute training product strategy and roadmap working backwards from customer requirements in collaboration with engineering leadership. Define the vision for how customers train frontier models at scale on Trainium, balancing performance, developer experience, and AI/ML ecosystem compatibility. Produce PRFAQs and PRDs for training capabilities. Drive technical alignment across Neuron training libraries, distributed training infrastructure, and dependencies. Partner with PMs responsible for compiler, NKI, runtime, and infrastructure. Drive trade-offs between training performance, scalability, developer experience, and AI/ML ecosystem compatibility. Define requirements for reusable training building blocks that compose into end-to-end workflows.
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Post-Training, RL &amp; Emerging Workflows
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Drive strategy for post-training workflows including RLHF, DPO, reward modeling, and fine-tuning at scale. Define requirements for how Neuron supports emerging training paradigms, model architectures, and RL-based optimization loops. Lead the product experience for RL research-to-production workflows on Trainium. Create and optimize RL libraries and frameworks to help researchers and production model builders.
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Customer Engagement &amp; Enablement
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Work with BD, Solutions Architecture, and GTM teams to engage customers training frontier models on Trainium. Understand their distributed training challenges, RL needs, performance optimization requirements, and framework preferences. Translate customer pain points into product requirements. Define success metrics for training adoption and performance. Support customer enablement for training migration and optimization.
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Training AI/ML Ecosystem &amp; Delivery
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Define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. Own the technical depth on training-specific AI/ML ecosystem tools and define how Neuron's training libraries integrate with them. Track training-specific AI/ML ecosystem trends and feed them into product planning. Drive open source community engagement and upstream contributions for training-related tools. Coordinate with BD on partnership discussions where training-specific technical input is needed.
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Launch &amp; Go-to-Market
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Lead end-to-end launches for training capabilities, coordinating documentation, field enablement, and customer communications. Partner with Marketing and Solutions Architecture to drive awareness and adoption. Define launch success criteria and track adoption metrics.
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About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We operate with startup like velocity, prioritizing talent acquisition, hands on leadership, and flexible organization. Our senior members enjoy one on one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
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Diverse Experiences<br>
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AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.<br>
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Inclusive Team Culture<br>
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Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
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Work/Life Balance<br>
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We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.<br>
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Mentorship &amp; Career Growth<br>
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We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional.<br>
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About Amazon Annapurna Labs<br>
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Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.<br>
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About AWS Utility Computing (UC)<br>
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AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.<br>
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About AWS<br>
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Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of working as a Technical Product Manager experience</li><li>Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent</li><li>Experience with large-scale model training workflows, including solid knowledge of distributed training concepts</li><li>Familiarity with major AI/ML training frameworks (JAX or PyTorch) and how training libraries interact with them</li><li>Experience driving product strategy, long-term roadmap development, and cross-organizational alignment</li><li>Excellent written and verbal communication abilities, including executive-level communication</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with PyTorch or JAX distributed training</li><li>Track record of driving developer training libraries and tools</li><li>Experience with design and scaling of training optimization software (e.g., NeMo, TorchTitan, TRL, VeRL, MaxText, AXLearn, or similar)</li><li>Experience leading RL for research-to-production at scale</li><li>Experience with post-training workflows including RLHF, DPO, reward modeling, and fine-tuning</li><li>Experience with AI/ML training accelerators and hardware, including training performance optimization, profiling, and tooling</li><li>Experience with distributed training of large-scale models including model parallel training techniques (tensor, pipeline, sequence, and expert parallelism)</li><li>Experience working on open source and GitHub-first developer products with deep customer interactions</li><li>Track record of driving open standards and AI/ML ecosystem integration for training workflows</li><li>Experience operating in early-stage, ambiguous environments with startup-like velocity</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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.<p><br>
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.</p><br>
USA, CA, Cupertino - 208,300.00 - 281,800.00 USD annually<br>
USA, WA, SEATTLE - 181,100.00 - 245,000.00 USD annually<br>
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually</div><p></p>

Principal PMT-ES - AI/ML Training, Annapurna Labs

CRYPTO.com

<div><div>Our Product Management team drives product initiatives from inception through execution, makes impacts and launches products/features across our global footprint. We collaborate closely with engineers, designers, analysts, marketers, and other cross-functional team members to ship remarkable features and products.</div>
<h3 class="jobSectionHeader"><b>What You Will Own:</b></h3><ul><li>Ship AI-powered features to production: conversational AI (chatbots, copilots), intelligent onboarding, smart trading assistants, automated compliance workflows</li><li>Lead cross-functional squads of ML engineers, data scientists, designers, and backend engineers to deliver AI products end-to-end</li><li>Evaluate and integrate LLM/GenAI capabilities (GPT, Claude, open-source models) into product experiences &mdash; balancing innovation speed with safety and compliance</li><li>Build the internal AI enablement playbook: drive adoption of AI tools across product, engineering, and operations teams</li><li>Define success metrics for AI features (engagement lift, cost reduction, resolution rate, NPS) and run rigorous A/B tests</li><li>Manage vendor relationships for AI/ML infrastructure, annotation, and model providers</li><li>Report to senior leadership on AI transformation progress, ROI, and strategic direction</li></ul><h3 class="jobSectionHeader"><b>
What We Are Looking For:</b></h3><ul><li>10+ years in product management, with 3+ years leading AI/ML product initiatives in production</li><li>Proven track record of shipping AI products at scale &mdash; chatbots, recommendation systems, NLP features, intelligent automation, or AI agents that served real users</li><li>Deep understanding of LLMs, prompt engineering, RAG architectures, fine-tuning, and evaluation frameworks &mdash; you can hold your own in technical discussions with ML engineers</li><li>Experience with conversational AI platforms (e.g. Dialogflow, Rasa, custom LLM-based agents) and measuring their effectiveness</li><li>Demonstrated ability to translate ambiguous AI opportunities into concrete product specs, build-vs-buy decisions, and phased rollout plans</li><li>Strong data intuition &mdash; comfortable with SQL, analytics dashboards, and experiment design</li><li>Experience in fintech, crypto, or high-compliance environments is a strong plus</li><li>Ability to influence and align senior stakeholders (C-suite, engineering leads, compliance) on AI adoption strategy</li><li>Bachelor's degree in CS, Engineering, or related field; advanced degree in AI/ML is a plus but not required &mdash; shipped products matter more than credentials</li></ul><div><b>
Life @ </b><b>Crypto.com</b></div><div>
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Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.</div><div>
Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions.</div><div>
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.</div><div>
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.</div><div>
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.</div><div></div><div><br>
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Are you ready to kickstart your future with us?</i></b></div><div>
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Benefits</b></div><div>
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Competitive salary</div><div>
Medical insurance package with extended coverage to dependents</div><div>
Attractive annual leave entitlement including: birthday, work anniversary</div><div>
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up</div><div>
Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
</div><div>Work Perks: crypto.com visa card provided upon joining</div><div>
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Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.</div><div>
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About </b><b>Crypto.com</b><b>:</b></div><div>
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Founded in 2016, Crypto.com serves more than 80 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet&trade;. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.</div><div>
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Learn more at https://crypto.com.</div><div>
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Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.</div><div>
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Personal data provided by applicants will be used for recruitment purposes only.</div><div>
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Please note that only shortlisted candidates will be contacted.</div>
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We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.</p></div>

Senior Product Manager, AI Transformation

MA'ADEN

<div><div><div><div><div><p>Role Purpose:
</p><p>The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
</p><p>As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
</p><p>Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise.<br>
</p><p></p><p><b>1. Manage End‑to‑End Data Science Delivery
</b></p><ul><li><p>Oversee the development, implementation, and maintenance of databases and data collection systems.
</p></li><li><p>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</p></li><li><p>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</p></li><li><p>Conduct statistical analysis to interpret data insights and support decision‑making.
</p></li><li><p>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</p></li><li><p>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</p></li><li><p>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</p></li><li><p>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</p></li><li><p>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</p></li><li><p>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</p></li><li><p>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</p></li><li><p>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact.<br>
</p></li></ul></div></div><br>
<div><div><p><b>2. Data Operations
</b></p><ul><li><p>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</p></li><li><p>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</p></li><li><p>Support compliance with data security standards and relevant regulations
</p></li><li><p>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</p></li><li><p>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</p></li><li><p>Oversee production reliability, model drift management, and continuous improvement.<br>
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<div><div><p><b>3. Team Leadership &amp; Capability Building
</b></p><ul><li><p>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</p></li><li><p>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</p></li><li><p>Foster a culture of innovation, peer review, and reusable modeling frameworks.<br>
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<div><div><p><b>4. AI Governance, Quality &amp; Standards
</b></p><ul><li><p>Steward high standards in model explainability, auditability, lineage, and risk management.
</p></li><li><p>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</p></li><li><p>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</p></li><li><p>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</p></li><li><p>Support alignment with enterprise governance frameworks, including PDPL compliance.
</p></li></ul></div></div><br>
</div></div><p><b>Minimum Qualifications, Experience and Competencies
</b></p><p><b>Minimum Qualifications:
</b></p><p>Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
</p><p><b>Minimum Experience:
</b></p><ul><li><p>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</p></li><li><p>Including at least 4 years leading or mentoring analytics professionals.
</p></li><li><p>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</p></li><li><p>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</p></li><li><p>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</p></li><li><p>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</p></li><li><p>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</p></li></ul><p><b>Maaden High-Performance Competencies:
</b></p><p><b>Core Competencies
</b></p><ul><li><p>Value realization from ML/analytics initiatives (impact delivered vs. target).
</p></li><li><p>On‑time delivery of analytics roadmap.
</p></li><li><p>Adoption rate and integration of solutions into business workflows.
</p></li><li><p>Model performance stability (drift incidents, uptime).
</p></li><li><p>Team capability maturity and talent development indicators.<br>
</p></li></ul><p></p><p><b>Skills:
</b></p><ul><li><p>Machine Learning &amp; AI Leadership
</p></li><li><p>Programming Expertise
</p></li><li><p>Generative AI Proficiency
</p></li><li><p>Strong Analytical &amp; Statistical Skills
</p></li><li><p>Business Strategy &amp; Product Thinking
</p></li><li><p>Ethics, Governance &amp; Responsible AI
</p></li><li><p>Leadership &amp; People Management</p></li></ul></div>

Manager, Data Science & Analytics

MASTER-WORKS

<div><p><b>Job Description:</b></p><p>
The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
</p><p></p><p>The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.</p><p></p><p><b>
Tools &amp; Technologies: </b>Dataiku, Sql server, Power bi, and aws bedrock</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li>
Design, develop, train, and optimize machine learning models for real applications or use cases.</li><li>
Translate business and product requirements into scalable ML/AI solutions.</li><li>
Implement feature engineering, model selection, tuning, and evaluation techniques.</li></ul><ul><li>
Develop, and deploy ML models into production environments with high availability and performance.</li><li>
Build and maintain ML pipelines (training, validation, deployment, monitoring).</li><li>
Monitor model performance, data drift, and model decay; retrain models as needed.</li><li>
Ensure models meet reliability, scalability, and security standards.</li><li>
Work closely with Data Scientists, Product Managers, and Software Engineers.</li><li>
Collaborate with data engineering teams to ensure high-quality, reliable data pipelines.</li><li>
Participate in design and code reviews, ensuring engineering best practices.</li><li>
Optimize models for latency, throughput, and cost.</li><li>
Implement experimentation frameworks (A/B testing, offline evaluation).</li><li>
Apply responsible AI principles, including fairness, explainability, and governance where required.</li></ul><p></p><b><br>
Requirements</b><p><b><br>
Requirements &amp; Qualifications</b>:</p><ul><li>
+4 years of hands-on experience in Machine Learning or applied AI roles.</li><li>
Strong programming skills in Python (and/or Java, Scala).</li><li>
Solid understanding of ML algorithms (supervised, unsupervised, deep learning).</li><li>
Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>
Experience deploying models using Docker, Kubernetes, or cloud ML services.</li><li>
Strong knowledge of data structures, algorithms, and software engineering principles.</li><li>
Experience working in agile, cross-functional teams.</li><li>
Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services.</li><li>
Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML).</li><li>
Experience with big data technologies (Spark, Kafka, Databricks).</li><li>
Background in NLP, Computer Vision, or Generative AI.</li><li>
Strong problem-solving and analytical thinking</li><li>
Production-first mindset</li><li>
Data-driven decision making</li><li>
High Collaboration and communication skills</li></ul></div>

AI Developer

Master Works

<div>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 The charge of creating and developing intelligent solutions using Artificial Intelligence technologies with a focus on generative AI and data science.
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 The role entails converting data into useful insights and developing AI powered applications that improve decision making and enhance operational efficiency.
 <br/>
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 <strong>
  Tools &amp; Technologies:
 </strong>
 Dataiku, Sql server, Power bi, and aws bedrock
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 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, train, and optimize machine learning models for real applications or use cases
  </li>
  <li>
   Translate business and product requirements into scalable ML/AI solutions
  </li>
  <li>
   Implement feature engineering, model selection, tuning, and evaluation techniques
  </li>
  <li>
   Develop, and deploy ML models into production environments with high availability and performance
  </li>
  <li>
   Build and maintain ML pipelines (training, validation, deployment, monitoring)
  </li>
  <li>
   Monitor model performance, data drift, and model decay; retrain models as needed
  </li>
  <li>
   Ensure models meet reliability, scalability, and security standards
  </li>
  <li>
   Work closely with Data Scientists, Product Managers, and Software Engineers
  </li>
  <li>
   Collaborate with data engineering teams to ensure high-quality, reliable data pipelines
  </li>
  <li>
   Participate in design and code reviews, ensuring engineering best practices
  </li>
  <li>
   Optimize models for latency, throughput, and cost
  </li>
  <li>
   Implement experimentation frameworks (A/B testing, offline evaluation)
  </li>
  <li>
   Apply responsible AI principles, including fairness, explainability, and governance where required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements &amp; Qualifications
 </strong>
 :
 <br/>
 <br/>
 <ul>
  <li>
   +4 years of hands-on experience in Machine Learning or applied AI roles
  </li>
  <li>
   Strong programming skills in Python (and/or Java, Scala)
  </li>
  <li>
   Solid understanding of ML algorithms (supervised, unsupervised, deep learning)
  </li>
  <li>
   Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn
  </li>
  <li>
   Experience deploying models using Docker, Kubernetes, or cloud ML services
  </li>
  <li>
   Strong knowledge of data structures, algorithms, and software engineering principles
  </li>
  <li>
   Experience working in agile, cross-functional teams
  </li>
  <li>
   Experience with cloud platforms (AWS, Azure, or GCP) and managed ML services
  </li>
  <li>
   Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Azure ML)
  </li>
  <li>
   Experience with big data technologies (Spark, Kafka, Databricks)
  </li>
  <li>
   Background in NLP, Computer Vision, or Generative AI
  </li>
  <li>
   Strong problem-solving and analytical thinking
  </li>
  <li>
   Production-first mindset
  </li>
  <li>
   Data-driven decision making
  </li>
  <li>
   High Collaboration and communication skills
  </li>
 </ul>
</div>


Arize AI

<div><div><div>Location</div>
<div>Remote (San Francisco)</div>
</div><div><div>Status</div>
<div>Full time</div>
</div><div><div>Department</div>
<div>Solutions Engineering</div></div></div>
<br><div><div><div><div>About Arize</div>
<p>
AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That&rsquo;s where we come in. Arize AI is the leading AI &amp; Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace&mdash;so teams can ship faster with confidence.</p>
<p>
We&rsquo;re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><div><b>
The Opportunity</b></div>
<p>
As an AI Solutions Manager, you&rsquo;ll partner with some of the most innovative AI/ML teams in the world. You&rsquo;ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.</p>
<div><b>
The Team</b></div>
<p>
Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more.</p>
<p>
As an AI Solutions Manager, your work will directly contribute to our customers&rsquo; success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You&rsquo;ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You&rsquo;ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You&rsquo;ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.</p>
<div><b>
What You&rsquo;ll Do</b></div>
<ul><div>Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.</div>
<div>Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.</div>
<div>Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.</div>
<div>Run workshops and training sessions with customers during onboarding and new functionality</div>
<div>Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.</div>
<div>Proactively monitor product usage across your accounts to further gauge account health</div>
<div>Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.</div>
<div>Effectively relay customer feature requests to internal teams and advocate for customer needs.</div>
<div>Ensure support teams are aligned with customer requests and priorities.</div>
</ul><div><b>What We&rsquo;re Looking For</b></div>
<ul><div>3+ years of experience as a Customer Success Manager in SaaS.</div>
<div>A self-starter mindset with the ability to thrive in limited process environments.</div>
<div>Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.</div>
<div>Strong communication skills for articulating observations and fostering collaboration across teams.</div>
<div>Proven ability to demo technical products and translate their value into tailored customer solutions.</div>
<div>Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.</div>
<div>A strong team player who values collaboration and collective success.</div>
<div>Bonus: Familiarity with AI/ML workflows or GenAI technologies.</div>
</ul>
<p>The estimated annual salary and variable compensation for this role is between $140,000 to $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.</p>
<p>
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.</p><div><div>
More About Arize</div>
<p>
Arize&rsquo;s mission is to make the world&rsquo;s AI work&mdash;and work for people.<br>
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge&mdash;understanding whether AI is performing and how to improve it at scale.</p>
<p>
Learn more about what we're doing here:</p>
<p>
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</p>
<p>
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</p>
<p>
Diversity &amp; Inclusion @ Arize</p>
<p>
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture</p>
<ul>
<div>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</div>
<div>Culturally conscious events such as LGBTQ trivia during pride month</div>
<div>We have an active Lady Arizers subgroup</div>
</ul></div></div><div></div><div><div><div><div><div><div>Apply now</div></div></div></div></div></div></div><p></p>

AI Solutions Manager, West

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join us as a Software Development Manager on the AI Studios org within Amazon Prime Video and Amazon MGM Studios, where you'll lead a team building intelligent systems at the intersection of AI and cinematic storytelling. This role offers an exciting opportunity to drive the development of our AI-native content creation platform that empowers creators to produce professional animation and live action content featuring world-class intellectual properties at unprecedented speed and scale.<br>
<br>
In this role, you'll lead a team of engineers delivering production-quality AI-powered creative suite while fostering a culture of technical excellence and innovation. You'll partner closely with creative professionals (animators, filmmakers, and storytellers), guiding your team to implement features that directly transform how animation and live action/VFX content is made for our most ambitious productions. This is an ideal opportunity for engineering leaders who are passionate about AI/ML applications in entertainment and want to build and grow high-performing teams while shaping industry-defining products featuring iconic IPs.<br>
<br>
Key job responsibilities<br>
<ul><li>Define the team's charter and technical vision in partnership with stakeholders, scientists, product managers, and creative professionals</li></ul>
-Own the roadmap, balancing short- and long-term decisions with clear goals to deliver on that vision<br>
<ul><li>Lead, mentor, and grow a team of software development engineers building our AI-native content creation platform for professional animation and live action workflows</li><li>Drive architectural decisions across the stack &mdash; from backend services, media processing pipelines, and APIs to ML platform and creator-facing tooling</li><li>Define metrics to measure development progress, customer experience, and operational excellence, ensuring adherence to SLAs</li><li>Stay current with emerging technologies in AI/ML, media processing, and distributed computing, guiding the team in adoption</li></ul><br>
About the team<br>
We're part of AI Studios, a newly established org within Prime Video &amp; Amazon MGM Studios, building an AI-native content creation platform at the intersection of AI/ML, media processing, and cinematic storytelling. Our platform empowers animators, filmmakers, and storytellers to produce professional animation and live-action/VFX content featuring world-class IPs at unprecedented speed and scale. As a greenfield team, our tech surface spans backend services, ML model training and inference, media pipelines, and creator-facing tooling.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of engineering team management experience</li><li>7+ years of working directly within engineering teams experience</li><li>3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>8+ years of leading the definition and development of multi tier web services experience</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Experience partnering with product or program management teams</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy</li><li>Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Sunnyvale - 212,700.00 - 287,700.00 USD annually<br>
USA, NY, New York - 203,400.00 - 275,200.00 USD annually</div><p></p>

Software Development Manager, AI Studios

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