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Machine Learning Job Salaries

Find salary information for remote positions requiring Machine Learning skills. Make data-driven decisions about your career path.

Machine Learning

Median high-range salary for jobs requiring Machine Learning:

$215,000

This analysis is based on salary ranges collected from 450 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $160,000 - $215,000

  • 25% of job descriptions advertised a maximum salary above $250,000.
  • 5% of job descriptions advertised a maximum salary above $348,480.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include PyTorch, Data science and AWS. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. PyTorch

    24% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $172,000 - $227,700

    • 25% of job descriptions advertised a maximum salary above $273,750.
    • 5% of job descriptions advertised a maximum salary above $364,380.9.

  2. Data science

    24% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $173,500 - $227,000

    • 25% of job descriptions advertised a maximum salary above $268,550.
    • 5% of job descriptions advertised a maximum salary above $366,928.6.

  3. AWS

    31% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $164,880 - $225,000

    • 25% of job descriptions advertised a maximum salary above $259,750.
    • 5% of job descriptions advertised a maximum salary above $364,719.3.

  4. Algorithms

    26% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $167,000 - $224,300

    • 25% of job descriptions advertised a maximum salary above $266,781.25.
    • 5% of job descriptions advertised a maximum salary above $364,254.

  5. Python

    65% jobs mention Python as a required skill. The Median Salary Range for these jobs is $160,000 - $218,308.67

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $325,500.

  6. Communication Skills

    29% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $160,500 - $217,500

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $358,170.

  7. Artificial Intelligence

    29% jobs mention Artificial Intelligence as a required skill. The Median Salary Range for these jobs is $150,000 - $215,380

    • 25% of job descriptions advertised a maximum salary above $260,600.
    • 5% of job descriptions advertised a maximum salary above $387,000.

  8. Data Analysis

    38% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $155,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $266,687.5.
    • 5% of job descriptions advertised a maximum salary above $384,725.4.

  9. SQL

    43% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $159,100 - $205,600

    • 25% of job descriptions advertised a maximum salary above $244,880.25.
    • 5% of job descriptions advertised a maximum salary above $334,187.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Fintech, Healthcare Technology and Financial Services. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Fintech

    1% jobs are in Fintech industry. The Median Salary Range for these jobs is $172,500 - $227,500

    • 25% of job descriptions advertised a maximum salary above $235,000.
    • 5% of job descriptions advertised a maximum salary above $240,000.

  2. Healthcare Technology

    2% jobs are in Healthcare Technology industry. The Median Salary Range for these jobs is $170,000 - $225,000

    • 25% of job descriptions advertised a maximum salary above $239,950.
    • 5% of job descriptions advertised a maximum salary above $400,000.

  3. Financial Services

    1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $161,350 - $225,000

    • 25% of job descriptions advertised a maximum salary above $267,500.
    • 5% of job descriptions advertised a maximum salary above $275,000.

  4. Software Development

    21% jobs are in Software Development industry. The Median Salary Range for these jobs is $160,000 - $219,000

    • 25% of job descriptions advertised a maximum salary above $263,250.
    • 5% of job descriptions advertised a maximum salary above $364,254.

  5. Healthcare

    3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $167,200 - $218,500

    • 25% of job descriptions advertised a maximum salary above $260,500.
    • 5% of job descriptions advertised a maximum salary above $302,750.

  6. Cybersecurity

    1% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $160,000 - $215,000

    • 25% of job descriptions advertised a maximum salary above $230,000.
    • 5% of job descriptions advertised a maximum salary above $235,000.

  7. AdTech

    1% jobs are in AdTech industry. The Median Salary Range for these jobs is $180,000 - $210,000

    • 25% of job descriptions advertised a maximum salary above $252,825.
    • 5% of job descriptions advertised a maximum salary above $267,100.

  8. AI and machine learning

    1% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $170,000 - $205,000

    • 25% of job descriptions advertised a maximum salary above $305,000.
    • 5% of job descriptions advertised a maximum salary above $400,000.

  9. Artificial Intelligence

    6% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $125,000 - $185,000

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $440,000.

  10. AI observability and evaluation

    1% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $100,000 - $150,000

    • 25% of job descriptions advertised a maximum salary above $195,000.
    • 5% of job descriptions advertised a maximum salary above $210,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Sr. Software Engineer, Yahoo! Mail
Posted 42 minutes ago

📍 United States of America

💸 128250.0 - 266875.0 USD per year

🔍 Software Development

🏢 Company: careers

  • MS in Computer Science or related field with strong understanding of the fundamentals including Data Structures, Algorithms
  • Experience in algorithm design and ML/AI
  • Experience working with languages such as Java or Python
  • Familiarity with data mining, text processing and classification algorithms
  • Demonstrated problem solving skills and taking initiatives
  • Great communication skills, joy in helping people, ability to remain friendly and constructive under stress
  • 2+ years experience working with Applied ML
  • 5+ years of experience in the industry working with Backend Systems
  • Research and develop innovative algorithms for information retrieval, processing and ranking.
  • Build, enhance, optimize and deploy tools, workflows, systems to process Yahoo mail data for extraction relevant information.
  • Be responsible for improving information extraction using machine learning and natural language processing techniques.
  • Participate in agile development to add incremental value to the business.
  • Collaborate with Research scientists to build M/L models for classification, extraction and recommendations in automated fashion.

Backend DevelopmentPythonSoftware DevelopmentSQLAgileApache HadoopData AnalysisData MiningHadoopJavaMachine LearningPyTorchAlgorithmsData StructuresTensorflowRESTful APIsData modeling

Posted 42 minutes ago
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🔥 Senior Machine Learning Engineer
Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 133000.0 - 151000.0 USD per year

🔍 Software Development

🏢 Company: Infinite Reality👥 101-250💰 $350,000,000 8 months agoMedia and EntertainmentWeb3Metaverse

  • MS or PhD in Computer Science, Machine Learning, or a related field.
  • 6+ years in machine learning, focusing on systems for procedural content generation and working with LLMs to create scalable virtual environments.
  • Proficient in 3D graphics programming and procedural content generation, handling assets like models, textures, shaders, and particle systems.
  • Experience in both frontend (React, Three.js, WebGL) and backend (Node.js, MySQL) development, enabling seamless integration of AI-driven procedural generation into interactive 3D worlds.
  • Ability to optimize complex systems for performance and scalability, ensuring AI-powered world-building systems perform seamlessly with large datasets.
  • Skilled in scripting languages such as Python, Bash, or JavaScript, enabling automation of key tasks and workflows in the world-building process.
  • Experience working in cross-disciplinary teams, mentoring, and leading by example to promote best practices in world-building, procedural generation, and AI integration.
  • Strong analytical skills to tackle complex technical challenges in 3D graphics, procedural content generation, or system performance.
  • Commitment to continuous learning and integrating the latest developments in AI, machine learning, 3D graphics, and procedural generation into the team's work.
  • Develop systems utilizing LLMs to autonomously create 3D environments, handling assets like models, shaders, and particle systems.
  • Collaborate with technical artists and engineers to build pipelines ensuring seamless integration of diverse 3D assets into the procedural generation process.
  • Ensure world-building systems are scalable and performant, capable of handling large datasets and multiple interactions while maintaining high-quality environments.
  • Work with engineers, data scientists, technical artists, and designers to implement innovative solutions for dynamic virtual worlds, ensuring technical integration across teams.
  • Lead the adoption of emerging technologies in generative AI and procedural content creation, integrating the latest advancements into our platform.
  • Address complex technical challenges related to performance, AI systems, asset rendering, and procedural generation pipelines to ensure efficient world-building processes.

AWSBackend DevelopmentNode.jsPythonCloud ComputingFrontend DevelopmentGCPMachine LearningMySQLReact.jsUnity3DAlgorithmsAzureBlenderData scienceUnreal engineProblem SolvingScripting

Posted about 1 hour ago
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🔥 Director of Product, Core Product
Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 220000.0 - 240000.0 USD per year

🔍 Healthcare Technology

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 10 months agoArtificial Intelligence (AI)HospitalInformation TechnologyHealth Care

  • 7+ years of product management experience, with at least 3 years in a leadership role managing product managers.
  • 3+ years of experience in healthcare technology, revenue cycle management, or clinical documentation.
  • Strong understanding of technical concepts and ability to collaborate closely with engineering teams and data science teams on advanced AI.
  • Deep experience engaging directly with customers and translating insights into impactful product decisions.
  • Proven ability to define a long-term product vision while delivering measurable short-term results.
  • Track record of delivering high-impact products with exceptional project management and prioritization skills.
  • Experience mentoring and developing product teams, fostering a collaborative and high-performance culture.
  • Define and articulate a compelling vision and strategy for SmarterPrebill
  • Lead, mentor, and empower a team of 3-5 Senior Product Managers, fostering a culture of innovation, collaboration, and accountability.
  • Develop and maintain a comprehensive product roadmap that reflects customer needs, market trends, and technical feasibility. Prioritize features and initiatives to deliver measurable impact.
  • Partner with engineering, design, and data science teams to guide product development from concept to launch. Ensure alignment across cross-functional teams.
  • Build strong relationships with healthcare providers and key stakeholders to understand pain points, workflows, and unmet needs. Translate insights into actionable product decisions.
  • Leverage data, analytics, and user feedback to assess product performance, identify opportunities, and iterate on solutions to deliver continuous value.
  • Collaborate with marketing, customer success, and sales teams to define product positioning, develop messaging, and support successful product launches

LeadershipAgileArtificial IntelligenceData AnalysisMachine LearningPeople ManagementProduct ManagementCross-functional Team LeadershipProduct DevelopmentProduct AnalyticsData scienceStrategic ManagementRESTful APIsMentoringStakeholder managementCustomer Success

Posted about 4 hours ago
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🔥 AI Intern - US (Summer 2025)
Posted about 5 hours ago

📍 United States

🧭 Internship

💸 3000.0 USD per month

🔍 Software Development

🏢 Company: AbleRentalProperty ManagementReal Estate

  • Bachelor’s degree (can be in progress) in a relevant field, such as Computer Science, Data Science, Business, or a related discipline.
  • Desire to be entrepreneurial and explore new ideas at the cutting edge.
  • Familiarity with AI concepts (agents, generative models, etc.) and tools such as LangChain, Cursor, or CrewAI.
  • Understanding of fundamental software engineering concepts and tools, including GitHub.
  • Strong understanding of and experience with programming languages & model querying techniques (e.g., Python, prompt engineering, etc.).
  • A strong interest in artificial intelligence and technology-driven innovation.
  • Basic project management skills, including organization, planning, documentation, and managing multiple stakeholders.
  • Effective communication and interpersonal skills, with the ability to collaborate in a team-oriented environment.
  • Strong problem-solving skills and a keen ability to analyze and synthesize information.
  • Assist in the development and delivery of AI projects, helping our engineers and researchers deliver on AI initiatives aligned with our strategic business goals.
  • Conduct research and analysis on industry trends, emerging technologies, and AI applications to inform client solutions.
  • Support the design and implementation of AI projects, including data preparation, model selection, and deployment.
  • Collaborate with cross-functional teams to ensure seamless delivery of AI solutions.
  • Manage aspects of projects to ensure timely delivery, tracking milestones, and ensuring alignment with internal stakeholders.
  • Participate in workshops, training sessions, and meetings to facilitate AI knowledge transfer and adoption.
  • Continuously learn and adapt to new AI tools, techniques, and methodologies to enhance your technical skills.

Project ManagementPythonArtificial IntelligenceData AnalysisMachine LearningCommunication SkillsAnalytical Skills

Posted about 5 hours ago
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🔥 AI Strategist - Digital Velocity
Posted about 6 hours ago

📍 United States

💸 148000.0 - 205600.0 USD per year

🔍 Information Technology

  • Bachelor's degree and 7+ years of experience in deployment of private/public cloud solutions. Or, 11+ years of experience in deployment of private/public cloud solutions
  • Previous direct customer consulting experience or equivalent understanding of role responsibilities
  • Demonstrated high level understanding of M365 Copilot, Azure AI, Google AI platforms, AWS AI platforms, WatonsX, Github Copilot
  • Demonstrated high level understanding of the AI open source trends and emerging development paradigms including but not limited to Huggingface, OpenAI, Anthropic, Bard, Bing Chat, Meta, NVIDIA, Microsoft and IBM’s contribution to open source
  • Demonstrated knowledge of public cloud platforms, aware of multi-platform solutions and capabilities
  • High level understanding of AI application development, Large Language Modes (LLMs), Small Language Models, Data Governance, System Security
  • Understanding of prompt engineering best practices
  • High level understanding of AI offerings provide by platform providers such as Salesforce, ServiceNow, Adobe and other platforms is beneficial
  • Comprehensive understanding of agile development paradigms
  • Demonstrated ability to speak to business value of AI solutions
  • Excellent written and verbal communication skills, must be able to lead client facing conversations to drive success in consulting engagements
  • Demonstrate solid interpersonal skills, able to mentor and guide internal project teams and personnel technical development teams
  • Ability to understand, remember, and apply oral and/or written instructions or other information.
  • Ability to organize thoughts and ideas into understandable terminology.
  • Ability to multitask, organize and prioritize.
  • Ability to apply common sense while engaging with customers and providing solutions.
  • Ability to understand and follow complex instructions and guidelines.
  • Previous consulting experience a plus
  • Accurately design and scope AI professional services engagements.
  • Maintain deep expertise in their role; Is the "Go To" person for multi-disciplinary and multi-practice AI opportunities.
  • Communicates and trains the team on changes in technologies, procedures, solution implementations and approaches based on customer engagements.
  • Promotes a culture of knowledge sharing and collaboration by organizing knowledge bases, contributing regularly, and encouraging team members to contribute.
  • Coaches and mentors team members to improve their technical, consulting, and sales skills.
  • Acts as a resource to FSAs for advice and recommendations on technical design issues and product choices.
  • Serves in the customer escalation path for technical problem resolution.
  • Assist managers with AI aligned new hires, leads shadow assignments; proactively provides assistance and guidance to new hires to accelerate productivity.
  • Follows up on implemented solutions and identifies new opportunities that complement the work that was completed.
  • Advises team members and sales prior to customer calls and/or sales strategy sessions.
  • Articulates to customers the DV Practice (Digital Velocity) value proposition to customers, account managers, and partners and uses it to generate additional revenue opportunities to CDW.
  • Initiates new event ideas; collaborates with Partners and Sales to design events that can be replicated within the practice; secures funding to support CDW customer events.
  • Delivers presentations and conducts sales conversations with confidence and credibility to C-level clients, both in small meeting and large group formats.
  • Develops presentation content for the team.
  • Develops assessments, improvements, and demos for presales to use as sales tools, identifies new ideas for cross-sell opportunities, teaches presales and Sales on how to use these tools.
  • Collaborates with Partners, Inside Solution Architects (ISA), and Account Executives (AE) to drive mapped opportunities; fine tunes strategies and approaches to achieve greater sales results.
  • Operates in a regular cadence with multiple partners to educate, plan, and execute on joint strategies in collaboration with multiple stakeholders (ISA, AE, Sales Manager, Field Sales); understands partner alignment in geography and leads customer opportunity mapping exercises; coordinates on-site partner visits.
  • Shares best practices and effective territory planning approaches with peers to leverage successful approaches across the team.
  • Shares best practices and tactics for enhancing profitability and closing deals.
  • Acts as subject matter expert for marketing activities (e.g., marketing blog, content, references, videos, etc.); produces marketing-type documents and materials (e.g., data sheet, presentation, demo video) to use throughout the Practice.
  • Manages competing priorities and sets expectations with sales and other stakeholders through proactive communication, planning, and potential for return on investment.
  • Leads the development of Statements of Work, RFPs, RFIs, and proposal content for cross-technology solutions with high levels of accuracy and quality.
  • Maintains pre-sales pipeline data, develops plans, and takes actions to move opportunities to closure.
  • Reviews and monitors efforts and cadence to ensure compliance to scope / budget and communication of progress.

AWSProject ManagementPythonSQLAgileArtificial IntelligenceCloud ComputingData AnalysisGCPKubernetesMachine LearningSalesforceAPI testingAzureData engineeringPrometheusREST APICommunication SkillsCI/CDMentoringDevOpsTerraformPresentation skillsMicroservicesJSONData visualizationStrategic thinkingData modelingData management

Posted about 6 hours ago
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🔥 Sr. Machine Learning Researcher
Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 175000.0 - 230000.0 USD per year

🔍 Healthcare

🏢 Company: AKASA

  • Proven experience training and fine-tuning large language models, with expertise in model architecture, optimization techniques, and performance evaluation.
  • Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data and data standards (e.g., EDI, FHIR) is strongly preferred.
  • Ph.D. or equivalent industry experience in fields related to machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science, plus 2-3 years of experience.
  • Strong programming skills in Python, with proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow, as well as experience with cloud platforms (AWS, GCP) and multi-GPU environments.
  • A track record of translating research into real-world applications, with experience in rapid prototyping, experimentation, and writing production-ready code.
  • Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding.
  • Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance.
  • Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results.
  • Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI.
  • Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.

AWSPythonCloud ComputingGCPKubeflowKubernetesMachine LearningNumpyPyTorchAlgorithmsData scienceData StructuresREST APITensorflow

Posted about 6 hours ago
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🔥 Staff Applied Scientist
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 220000.0 - 250000.0 USD per year

🔍 Healthcare

  • Master's degree in a quantitative field, such as Mathematics, Computer Science, Accounting, Engineering, or Economics.
  • 12 years or more of experience as an Applied Scientist, Data Scientist, Machine Learning Engineer, or similar role.
  • Demonstrated experience developing machine learning models with business impact, and shipping ML/AI solutions to production.
  • Demonstrated experience with NLP, LLMs, Generative AI, and/or Reinforcement Learning.
  • Strong programming background in Python, high level of proficiency in SQL and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
  • Strong written and verbal communication skills with the ability to inform and influence a non-technical audience using insights found through complex technical concepts.
  • Strong analytical and critical thinking skills with a strong bias toward actionable insights; love finding insights and getting others to act on them.
  • Expertise using project management fundamentals and applying data-based prioritization and trade-off decision making
  • Be a thought leader in the ML space and continue to identify opportunities to build intelligence and automate prescription processing while maintaining industry leading patient safety standards
  • Design, develop, deploy, and maintain statistical and machine learning solutions leveraging NLP, generative AI, and reinforcement learning
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models
  • Collaborate closely with product managers, software engineers, data scientists, and pharmacists to deeply understand Alto’s business needs and create impactful ML applications
  • Communicate complex technical concepts to non-technical stakeholders.
  • Mentor applied scientists & data scientists and contribute to the development of best practices within the Data Science team.

Project ManagementPythonSQLKubeflowMachine LearningProject CoordinationAlgorithmsData scienceData StructuresCommunication SkillsAnalytical SkillsData visualization

Posted about 7 hours ago
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🔥 Chief Technology Officer
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 280000.0 - 400000.0 USD per year

🔍 Healthcare Technology

  • 15+ years of progressive leadership experience across product, engineering, and data science functions, with at least seven years in executive roles at a high-growth startup or a large, complex technology organization.
  • Demonstrated ability to build and scale high-performing, cross-functional teams of 50+ across engineering and data science, including experience managing remote or distributed teams.
  • Proven track record of scaling customer-facing digital products or platforms from early stages to significant user base, with quantifiable impact on key business metrics (e.g., revenue, market share, customer acquisition cost, retention).
  • Deep understanding of modern software development methodologies, data analytics, and AI/ML frameworks and their application in a business context.
  • Hands-on experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), modern front-end frameworks (React and React Native), and API-first design principles.
  • Demonstrated ability to drive product and technology innovation that has resulted in significant improvements in business outcomes (e.g., increased customer satisfaction, market share, revenue, or operational efficiency).
  • Exceptional communication and presentation skills, with the ability to articulate complex technical concepts clearly and 1 persuasively to both technical and non-technical 2 audiences, including board members and investors.
  • Proven experience leading Agile teams and driving cross-functional collaboration to deliver on complex product and technology roadmaps.
  • Experience with OKRs or other performance management frameworks is a plus.
  • Define and champion Alto's technology vision, directly shaping the future of healthcare.
  • Ensure the scalability, reliability, and security of Alto's technology infrastructure, enabling seamless operations and future expansion.
  • Partner with executive leadership to define company strategy and drive key performance metrics.
  • Own the entire tech development lifecycle, delivering exceptional products that exceed customer expectations.
  • Lead and inspire a world-class technology organization.
  • Establish priorities and execute product roadmaps that fuel exponential growth and transform the patient experience.
  • Champion user-centric design, solving critical problems for patients and healthcare professionals.
  • Establish and evangelize best practices across the technology organization, driving continuous improvement and innovation.
  • Evolve Alto's platform architecture to anticipate market needs and maintain a competitive edge.
  • Identify and integrate cutting-edge technologies to enhance Alto's offerings.
  • Cultivate a high-performing, inclusive engineering culture that empowers teams to innovate and thrive.
  • Collaborate cross-functionally to align product, science, and technology initiatives with overall business objectives.
  • Develop and mentor high-potential leaders, product managers, engineers, and technical staff, building the next generation of technology leaders.
  • Drive seamless communication and collaboration across the organization to ensure flawless execution of strategic priorities.

AWSBackend DevelopmentDockerLeadershipSQLAgileArtificial IntelligenceCloud ComputingData AnalysisFrontend DevelopmentJavascriptKubernetesMachine LearningPeople ManagementProduct ManagementReact NativeSoftware ArchitectureCross-functional Team LeadershipAPI testingData scienceREST APICommunication SkillsProblem SolvingMentoringStrategic thinkingSoftware EngineeringData analyticsData managementSaaS

Posted about 7 hours ago
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🔥 Senior Product Manager - AI
Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 185000.0 USD per year

🔍 Software Development

🏢 Company: Storable Careers - One Posting

  • 7+ years of product management experience, preferably in a B2B2C online environment.
  • Experience working with AI products and solutions, ensuring they align with customer needs and enhance business value.
  • Strong analytical skills, with the ability to predict, measure, and communicate the financial impact of changes.
  • Excellent communication skills to present business cases and product strategy to varied audiences.
  • Resourcefulness and problem-solving skills, with the ability to navigate hard conversations to achieve desired outcomes.
  • Comfortable balancing user empathy, design considerations, and data-driven decision-making.
  • Experience working in a nimble, Agile Scrum product delivery organization.
  • Ability to write actionable and detailed product requirements for engineering and design teams.
  • Proven ability to independently manage projects and teams from inception through to successful execution.
  • Define and implement an outcome-oriented product strategy focused on AI-driven initiatives.
  • Build relationships with our client’s facility operators to understand their needs and identify opportunities to enhance using AI technology.
  • Analyze consumer behavior metrics and comparable experiences to validate the product's direction and guide decision-making.
  • Clearly articulate the business case for changes, define potential solutions, and outline roadmaps to achieve those goals.
  • Partner with teams across the organization to enact changes that align with the product strategy and ensure smooth rollouts.
  • Regularly communicate improvements, milestones, and results company-wide to ensure transparency and alignment with business goals.
  • Lead a dedicated product delivery team through day-to-day scrum activities, providing clear product direction.
  • Guide ideation, vetting, and prioritization of product features in collaboration with marketing, design, analytics, and engineering.
  • Manage a prioritized backlog of features, infrastructure improvements, and bug fixes.
  • Measure and communicate the impact of strategic bets and delivered work.

AgileArtificial IntelligenceData AnalysisMachine LearningProduct ManagementSCRUMCross-functional Team LeadershipProduct DevelopmentAPI testingREST APICommunication SkillsAnalytical SkillsProblem SolvingAgile methodologiesStrategic thinking

Posted about 7 hours ago
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🔥 Senior Enterprise Account Executive (Remote, United States)
Posted about 17 hours ago

📍 United States

💸 100000.0 - 150000.0 USD per year

🔍 Software Development

🏢 Company: Collective[i]

Proven track record of closing large, complex deals.
Help leading revenue organizations operate more productively and profitably using AI delivered via Collective[i]'s applications.

Artificial IntelligenceData AnalysisMachine LearningSalesforceRESTful APIsAccount ManagementClient relationship managementSales experienceLead GenerationCRMSaaS

Posted about 17 hours ago
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