Top Tech Jobs & Startup Jobs in Indianapolis, IN
As a Data Scientist at Rentable, you will develop and deploy predictive models, analyze complex datasets using machine learning algorithms, create data visualizations, and collaborate with product and engineering teams to integrate solutions and assess model performance. You will also lead discussions on insights with stakeholders to facilitate decision-making.
The Data Scientist will develop and deploy predictive models, analyze complex datasets, create visualizations, and collaborate with teams to improve product capabilities and business outcomes. This role requires strong analytical skills and the ability to make data-driven recommendations.
The Program Manager at AHEAD oversees technical projects, ensuring customer satisfaction and successful service delivery. Responsibilities include planning project initiation, coordinating team activities, managing resources, addressing risks, and interfacing with clients and vendors. The Program Manager also mentors junior staff and evaluates project outcomes, striving for continuous improvement.
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The Senior Digital Marketing Manager will lead digital marketing efforts to drive growth, focusing on content marketing, SEO, paid media, and social media. Responsibilities include developing strategies, managing SEO agency relationships, analyzing campaign performance, optimizing the WordPress website, and collaborating with teams to align goals.
The Senior Site Reliability Engineer will design, develop, and maintain reliable microservices-based cloud solutions. Responsibilities include defining infrastructure platforms for automated self-service, collaborating with engineering teams, and implementing observability tools, while driving strategic execution within the Platform Infrastructure team.
The role involves leading Twilio's product vision and strategy for WhatsApp messaging, collaborating with various teams to develop innovative solutions that enhance customer engagement. Responsibilities include managing the product backlog, defining requirements, driving product planning, and performing ongoing product analysis.
The Product Manager, Rich Content will shape and execute Twilio’s product vision for advanced messaging use cases. The role involves collaborating with cross-functional teams, defining product roadmaps, prioritizing objectives, managing product backlogs, and conducting ongoing product analysis to enhance customer engagement.
The Senior Director, HRBP for R&D will align HR strategies with business objectives, support leadership in talent management, analyze trends for insights, manage organizational changes, and uphold Twilio’s culture and compliance. They will lead a small team and mentor for business impact throughout the employee lifecycle.
Nava is seeking a Content Strategist to work on complex, long-term content projects that drive their mission of simplifying government services. Responsibilities include developing content strategy, implementing content initiatives, aligning stakeholders, creating editorial workflows, and mentoring teammates. The role requires leading content projects, building information architecture, and fostering strong relationships with internal and external partners.
The Principal Product Manager will lead the strategy, vision, and execution of a product line in a healthcare software company. Responsibilities include understanding customer needs, managing product roadmaps, ensuring cross-functional team collaboration, defining success metrics, and advocating for the product. The role requires strong leadership and communication skills, with an emphasis on delivering impactful solutions to customers.
The Sr. Technical Account Manager will manage relationships with merchants, provide guidance for integration and optimization, lead feature enablement, and collaborate with internal teams to enhance products and solutions.
The Senior AI/ML Engineer will design, build, and deploy machine learning models and AI systems to improve clinical outcomes and health equity for low-income populations. This role involves working with a multidisciplinary team to solve key problems using AI/ML solutions, preprocessing data, testing models, and driving impactful decision-making in healthcare.
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