Quantalent AI is looking for a Product Consultant for our client who are a leading SaaS Product company. Job Title: Product Consultant Experience: 4–6 years Location: Bangalore – Work From Office (WFO) Role Snapshot: As a Product Consultant you sit at the intersection of solution consulting and implementation. You’ll uncover customer problems, map them to company's product, quantify the value, and guide prospects and new customers to rapid, repeatable success. Your insights will influence product direction and help Sales close strategic deals. What You’ll Drive: Solution Consulting (Problem→Product→Value) • Lead discovery calls; document pain points and success criteria. • Design “to-be” workflows, highlighting ROI and speed-to-value. • Run tailored product deep-dives and proofs of concept; measure outcomes. Implementation & Adoption • Orchestrate kickoff to go-live, aligning milestones with customer KPIs. • Track adoption dashboards; surface risks early and drive remediation. • Showcase success stories to secure renewals and expansions. Voice of Customer → Product • Package customer feedback into clear product requirements and UX suggestions. • Prioritise inputs based on business impact and market trends. You’ll Thrive Here If You Have • 4–6 years in solution consulting, implementation, customer success, or management consulting, working with Indian & US enterprise clients. • A track record of owning pre-sales cycles (RFP responses, demos, value assessments). • Strong analytical mindset—comfortable turning process maps and data into ROI stories. • Polished communication: can switch from C-suite strategy to workflow-level detail. • A blend of product-thinking + commercial acumen—you spot upsell paths while solving the root problem. • Nice-to-have: Tier-1 engineering/MBA pedigree and willingness to travel
Account Executive (SaaS Sales) This role is with one of our client, which is an AI-Powered Revenue Cycle Intelligence Platform, transforming the healthcare billing stack with autonomous medical coding, proactive denial prevention, and workflow automation solutions. We are looking for a dynamic sales professional with a strong background in SaaS or Enterprise Software sales to join a fast-growing, product-driven company in the healthcare tech space. Location: Work from Office – Koramangala, Bangalore Shift Timings: 5:30 PM – 2:30 AM IST Experience: 2–4 years in SaaS Sales / Enterprise Software Sales Key Responsibilities: Manage the complete sales cycle from prospecting to closing Build and maintain a strong pipeline through networking and outbound efforts Conduct product demos and presentations to showcase SaaS solutions Negotiate contracts and close deals to meet/exceed targets Collaborate with Marketing, Customer Success and Product teams to drive value Stay updated on industry trends and competitor activities Requirements: Strong understanding of SaaS business models and customer pain points Excellent communication, negotiation, and presentation skills Ability to handle multiple accounts and achieve aggressive sales goals Experience with CRM tools like Salesforce or HubSpot What’s on offer: Competitive salary with performance-based incentives Opportunity to work with cutting-edge technology in a high-growth domain A role where your contribution directly drives company growth
Data Science Manager This role is with one of our client, which is an AI-Powered Revenue Cycle Intelligence Platform, transforming the healthcare billing stack with autonomous medical coding, proactive denial prevention, and workflow automation solutions. Location: Work from Office – Koramangala, Bangalore Experience: 5–6 years We are looking for a Data Science Manager who can lead the design and delivery of scalable, data-driven backend systems while effectively managing cross-functional teams and engaging with clients. This role combines technical leadership, project delivery, and people management—ideal for someone who thrives at the intersection of code, communication, and execution. Key Responsibilities: Work closely with Data Science teams to embed AI models and analytical capabilities into core applications. Lead end-to-end sprint cycles, including sprint planning, task allocation, daily standups, and retrospectives. Track team performance and delivery timelines, using tools like JIRA, Trello, or Asana to monitor progress. Serve as the primary technical point of contact for clients- gathering requirements, clarifying expectations, and presenting deliverables. Translate client needs into actionable engineering goals while ensuring customer satisfaction. Manage a team of data scientists and analysts- offering coaching, feedback, and mentorship to support career growth. Foster a collaborative team culture that values transparency, ownership, and continuous improvement. Ensure that the team follows clean coding principles, test-driven development, and proper documentation. Conduct and guide peer code reviews to maintain high engineering standards. Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready. Requirements 5+ years of experience in data science, backend development, or related technical leadership roles. Hands-on experience with GenAI, Large Language Models (LLMs), and vision systems is a must. Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas, Python, REST APIs). Exposure to data pipelines, analytics tools, or integrating AI/ML models. Familiarity with cloud platforms (AWS/GCP/Azure). Project management experience (Agile, Scrum). Excellent written and verbal communication skills.
Data Science Manager This role is with one of our client, which is an AI-Powered Revenue Cycle Intelligence Platform, transforming the healthcare billing stack with autonomous medical coding, proactive denial prevention, and workflow automation solutions. Location: Work from Office Koramangala, Bangalore Experience: 56 years We are looking for a Data Science Manager who can lead the design and delivery of scalable, data-driven backend systems while effectively managing cross-functional teams and engaging with clients. This role combines technical leadership, project delivery, and people managementideal for someone who thrives at the intersection of code, communication, and execution. Key Responsibilities: Work closely with Data Science teams to embed AI models and analytical capabilities into core applications. Lead end-to-end sprint cycles, including sprint planning, task allocation, daily standups, and retrospectives. Track team performance and delivery timelines, using tools like JIRA, Trello, or Asana to monitor progress. Serve as the primary technical point of contact for clients- gathering requirements, clarifying expectations, and presenting deliverables. Translate client needs into actionable engineering goals while ensuring customer satisfaction. Manage a team of data scientists and analysts- offering coaching, feedback, and mentorship to support career growth. Foster a collaborative team culture that values transparency, ownership, and continuous improvement. Ensure that the team follows clean coding principles, test-driven development, and proper documentation. Conduct and guide peer code reviews to maintain high engineering standards. Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready. Requirements 5+ years of experience in data science, backend development, or related technical leadership roles. Hands-on experience with GenAI, Large Language Models (LLMs), and vision systems is a must. Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas, Python, REST APIs). Exposure to data pipelines, analytics tools, or integrating AI/ML models. Familiarity with cloud platforms (AWS/GCP/Azure). Project management experience (Agile, Scrum). Excellent written and verbal communication skills.