Top Hybrid Product Manager Jobs in Atlanta, GA
As a Staff Technical Product Manager, you will play a critical role in driving the success of our CRM products by defining and managing the product roadmap, gathering and prioritizing product requirements, and collaborating with cross-functional teams to ensure successful product development and launch. Your focus will be on delivering innovative solutions that align with the company's strategic goals. Join our dynamic team to shape the success of our technical products!
Senior Inbound Product Manager role at ServiceNow within the Global Security Services team. The role involves working with the Office of the CISO team to enhance security solutions and communicate security features to customers. Requires experience in security and excellent communication skills.
The Principal Product Manager, HR Apps at Gusto will lead the strategy and execution of building HR Apps such as Performance Management and Applicant Tracking System, playing a crucial role in driving customer impact and business growth. Responsibilities include cross-organizational leadership, technical acumen, strong user experience focus, managing senior teams, and executive presence.
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Lead product initiatives for reporting platform solutions, collaborate with cross-functional teams, define product roadmap, and drive product strategy to achieve company goals. Build reusable platform solutions and ensure high-quality products at scale. Develop and communicate product objectives, requirements, and constraints, and foster a culture of workplace satisfaction.
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Lead product initiatives for the reporting platform at Square, working closely with cross-functional teams to deliver impactful products that amaze and delight users. Define and communicate product objectives, requirements, and constraints, while fostering a culture of psychological safety and workplace satisfaction.
Sr. Manager of Product Management responsible for driving the development and management of data products leveraging cloud technologies and vehicle data to deliver valuable insights. Lead team in creating scalable data products and models for the automotive industry. Collaborate with cross-functional teams, define data product specifications, track KPIs, and develop go-to-market strategies. Requires 10+ years of experience in data technology and transformation, leadership experience, and expertise in cloud platforms and vehicle data products.
Lead the global delivery of collaboration tools and services, define product vision and strategy, work with engineering and marketing teams, engage with stakeholders, track success metrics, and stay updated on industry trends.
As a Senior Associate in Product Management at Capital One, you will work on human-centered, business-focused, technology-driven, and transformational leadership initiatives. You will collaborate with tech teams, prioritize feature development roadmaps, utilize new technology, and lead transformational projects. We are looking for intellectually curious individuals who are communicative, action-oriented, and customer-focused.
As a Product Advisor III - Solution Advisor at PNC, you will act as a strategic advisor, assisting clients on their digital transformation journeys and collaborating with sales teams to design efficient solutions. Responsibilities include assessing business needs, developing tailored solutions, and representing the voice of the customer to internal product teams and external parties in the financial industry.
Oversee Product Development processes across regions and verticals, evaluate process efficiency and costs, develop improvement strategies, manage change, and drive process value with vision and operational execution. Requires deep commercialization understanding, analytical skills, strong communication, and global team coordination.
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Product Manager role at FanDuel working on the Data Products team to drive the development and enhancement of the Machine Learning platform. Responsibilities include collaborating with teams, taking ownership of data products, leading requirements elicitation, working with cross-functional teams, and partnering with Machine Learning Data Engineering teams.
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