Artificial Intelligence Engineer

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Jubil ID: 39

Company: PLACE

Location: Phoenix, AZ

Description:
Senior Principal Product Manager - Artificial Intelligence
AI/ML Splunk
a Cisco company
is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid
multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology
but it's our caring e

Qualifications:
Ideally you have experience working directly with GTM partners and customers
especially design partners 10+ years of proven success in product management Deep understanding and several years of experience in product delivery of AI services
machine learning platforms and products
and generative AI Solid understanding of infrastructure
networking
and security concerns in on-prem and cloud environments Actively maintain a view of how the AIOps market
competition and technologies are evolving
and factor it
as well as feedback from internal groups and customers
into the product strategy Strong communication skills
including the ability to translate sophisticated technical products and features into simple concepts and presentations Champion an atmosphere of continuous product improvement by serving as a customer advocate and collaborating closely with sales
support
engineering to make judgment calls that best serve customers and the business Experience building AI capabilities at scale via platform services that serve multiple products with a focus on generative AI
machine learning
deep learning Experience delivering compelling products incorporating artificial intelligence as part of the technical solution with tangible results of customer value
adoption
consumption leading to business growth Deep understanding of AI and cybersecurity market and competition Deep understanding of anomaly detection and its application to security and/or observability use cases Continuously deliver results of product improvement through each stage of the product life cycle Experience developing pricing strategy that met expectations and improved growth for the business Strong negotiation skills paired with building trusting relationships within the team
the organization
customers and partners Strong bias for action
creative thinking
innovation
and data-informed product decision-making Exposure to cloud infrastructure and agile software development Passion for solving interesting technical problems and building enterprise products with intuitive user experience

Benefits:
SF Bay Area
Seattle Metro
and New York City Metro Area Base Pay Range: $212
400.00 - 292
050.00 per year Base Pay Range: $191
160.00 - 262
845.00 per year All other cities and states excluding California
Washington
Massachusetts
New York City Metro Area and Washington DC Metro Area Base Pay Range: $172
000.00 - 236
500.00 per year Splunk provides flexibility and choice in the working arrangement for most roles
including remote and/or in-office roles Please note that the base pay range is a guideline and for candidates who receive an offer
the base pay will vary based on factors such as work location as set out above
as well as the knowledge
skills and experience of the candidate In addition to base pay
this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards Benefits are an important part of Splunk's Total Rewards package This role is eligible for a competitive benefits package which includes medical
dental
vision
a 401(k) plan and match
paid time off and much more!

Responsibilities:
In this role
you will be responsible for deep integration of generative AI and machine learning with a focus on unified security analytics
full stack observability and real-time visibility of streaming data In this role
you will define the critical features and roadmap for bringing high-scale
high-performance AI to Splunk customers and app developers You will use your understanding and experience building products using Gen AI
LLMs and deep learning
and your ML expertise building anomaly detection systems You should be comfortable working with MLOps
AIOps PyTorch
TensorFlow
MLflow and ONNX
and apply innovative ML capabilities to help Splunk customers complete their tasks with speed and efficiency If you are adept at cross -team collaboration and have worked closely with engineers and data scientists to build AI products that drive meaningful and impactful business outcomes
this is the role for you You will work in the AI Product Management team as part of the Office of the CTO so a real appreciation of serving the needs of Security
AI
and Platform engineers is vital You will merge customer value
business imperatives with attention to technical detail and collaborate with cross-functional execution teams to drive customer insights and inputs directly into the development process and the entire product life cycle As we drive forward for the success of our customers
you will hold the team accountable to achieve goals of product quality and value As with any fast-growing company
day-to-day responsibilities will span the entire product life cycle
delivery pipeline and include deep interaction with customers
sales
and engineering
and Splunk’s global partner organization Collaborate closely with your AI PM counterparts to deliver in depth AI integration across the entire product portfolio Engage with customers
develop insights into what is possible
and uncover unarticulated needs to ensure customer success Define product specifications
user stories
mockups
and acceptance criteria independently and in collaboration with engineering
design
TPM
and documentation Collaborate with QA
SRE
and release teams to plan
drive and implement product release cycles Collaborate with product marketing to support the creation of content Engage with Compliance
Legal
and Finance teams to ensure products meet security
legal standards as well as address financial goals

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