Nanonets
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Recently posted jobs
Artificial Intelligence • Machine Learning • Software
This role involves generating new leads, conducting initial sales discovery calls, and qualifying leads for the Sales team by utilizing outbound strategies and following up on marketing leads.
Artificial Intelligence • Machine Learning • Software
As a Senior Fullstack Engineer, you'll architect and develop backend features, optimize performance, and enhance workflows using Golang and React, among other technologies.
Artificial Intelligence • Machine Learning • Software
As a Product Analyst, you'll manage company metrics, set data-informed goals, support hypothesis-driven product development, and work with teams to enhance product features based on insights.
Artificial Intelligence • Machine Learning • Software
Partner with startup customers to deploy and scale Nanonets AI solutions: translate requirements into PRDs and workflows, scope and prioritize work with Product and Engineering, manage backlogs and timelines, validate end-to-end workflows, and deliver prototypes and production deployments while providing model and product feedback.
Artificial Intelligence • Machine Learning • Software
The SAP Partnership Manager will establish and manage partnerships with SAP and systems integrators, driving partner-sourced revenue and enabling growth through strategic collaborations while ensuring deep engagement and cross-functional collaboration with sales and product teams.
Artificial Intelligence • Machine Learning • Software
The Enterprise Account Executive will manage high-value sales with Fortune 1000 clients, navigating complex procurement and building relationships with C-suite executives to drive strategic platform deployments.
Artificial Intelligence • Machine Learning • Software
Provide in-house legal counsel for SaaS and software contracts, IP, data privacy (GDPR, CCPA, HIPAA), and corporate governance. Draft, review, and negotiate commercial agreements, support international compliance, develop compliance programs and training, maintain compliance trackers, and advise on M&A and regulatory matters.
Artificial Intelligence • Machine Learning • Software
The Product Analyst will manage company metrics, define measurable outcomes, support hypothesis-driven development, and collaborate with product teams on data-driven decisions.
Artificial Intelligence • Machine Learning • Software
The Engagement Manager will oversee post-sale customer journeys, ensuring satisfaction through relationship management and project coordination. Responsibilities include stakeholder engagement, project delivery, and advocating for customer feedback to improve outcomes.
Artificial Intelligence • Machine Learning • Software
Own post-sale customer relationships and delivery for SaaS implementations. Drive adoption, translate requirements into technical documentation, prioritize backlogs, coordinate product and engineering, manage risks/escalations, and surface customer feedback to support renewals and expansions.
Artificial Intelligence • Machine Learning • Software
The AI Solutions Engineer will collaborate on technical feasibility, prepare technical demos, analyze customer needs, automate processes, and support minor software development.
Artificial Intelligence • Machine Learning • Software
The Senior Revenue Cycle Specialist will optimize revenue cycle processes in healthcare, acting as an expert in medical billing, coding, and payment workflows, while collaborating with various teams to implement automated solutions.
Artificial Intelligence • Machine Learning • Software
The Senior Revenue Cycle Specialist will optimize revenue cycle processes, act as an SME, enhance automation, and ensure compliance with billing regulations.
Artificial Intelligence • Machine Learning • Software
Manage enterprise customer relationships, focusing on POC success and upselling opportunities to drive account expansion and revenue growth.
Artificial Intelligence • Machine Learning • Software
The Technical Engagement Manager ensures customer satisfaction post-implementation by managing relationships, driving adoption, and liaising with internal teams for project management.



