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As the Vice President, Data Science & Analytics, reporting to the COO, you will own the holistic data strategy for Slack Business Operations, leading a team across business insights, data science, data engineering and strategically partnering with peer data teams in product analytics, experimentation, and analytical tooling.
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Crusoe Cloud is hiring a Product Marketing Director to lead the messaging and positioning strategy for our target audience. Experience with machine learning (ML) or high performance computing (HPC) preferred.
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Additionally, this leader will be responsible for developing our Pay sales strategy overall, iterating on who and how we sell, and learning how we need to change the product to best support those customers, all while coaching AEs to enable the entire team to be effective.
$355,909 - $481,525 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience as a data scientist, algorithmic engineer, or machine learning engineer in a technology company. We are looking for a highly technical data science and analytics manager who is passionate about influencing Pinterest's monetization strategy and solving crucial measurement challenges to lead and grow a team of talented data scientists and product analysts who share this objective.
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Knowledge of Databricks ML services or equivalent technologiesExperience in product management focusing on AI, machine learning, or related technologies. As a Principal Product Manager, your role encompasses being responsible for strategy, development, execution, and enhancement of a unified ML platform, comprising cloud ML infrastructure, data platform, campaign orchestration engine, and content platform.
$146,800 - $262,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will collaborate with Data Scientists, Machine Learning Engineers, and Product Engineers to understand our business through data and analytics. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
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Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create powerful analytics using machine-learning and behavioral analysis tools.
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Reporting to the VP of Marketing of RollWorks, this role leads all aspects of RollWorks’ strategy across our product’s go-to-market, including research, positioning, packaging, pricing, product launches, product lifecycle management, and revenue enablement.
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You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-facing data products.
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Advanced degree in Computer Science, AI, Machine Learning, or related fields is a nice to have. As the Product Manager, AI, you will lead the core of Coactive’s Multiplemodal application platform, the AI strategy, and the roadmap.
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The Chief Artificial Intelligence and Machine Learning (AI/ML) Officer will be a key partner with the Vice Chairs, Chief Digital Officer, and other key leaders in setting the strategy and related performance outcomes for the AI/ML portfolio of U.S. Bank. As a report to the Chief Digital Officer of U.S. Bank, this role will also be key part of the executive leadership of the digital organization, setting its strategic direction in partnership with the executive leadership team.
$266,305 - $344,630 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. In this role, you will manage a team of Machine Learning and general software engineers to develop infrastructure and collect, store, and process image data to support our real-time 3D reconstruction and rendering algorithms for Project Starline through data and infrastructure.
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This role is a special opportunity for someone who enjoys quantitative and qualitative research to derive customer insights, likes to inform future product development and strategy through building relationships with customers, and appreciates working closely together with our product, commercial andmarketing teams to deliver on solutions.
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You will shape product strategy across the portfolio and ensure that Demandbase retains and grows its market leadership. Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning.
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As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.
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product strategy machine learning jobs in San Francisco, Grove-city, Ohio
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