As an operations manager, you will oversee multiple facets of real-time production operations, manage risks, and ensure seamless coordination across teams. You will play a critical role in designing and implementing scalable processes, analyzing performance data, and fostering collaboration to achieve operational excellence. This role requires you to guide the team with precision, focus, and a data-driven approach while maintaining high productivity standards. Responsibilities Production Oversight and Risk Management Monitor real-time document processing to ensure smooth execution and meet production goals. Identify and address risks to mitigate potential issues and minimize downtime. Analyze real-time data, resolve operational challenges, and identify areas to improve productivity. Team Training and Development Train and onboard new team members to handle operational tasks effectively. Conduct upskilling initiatives to enhance team capabilities and maintain high performance. Organize regular 1:1 sessions to provide feedback and support professional growth. Process Design and Optimization Design and implement scalable, KPI-driven processes to improve operational efficiency. Leverage automation technologies and standardization practices to streamline workflows. Collaborate with the product team to resolve technical issues and continuously improve processes. Coordination and Reporting Lead daily sync-ups with the production team to ensure alignment on priorities and tasks. Prepare and analyze production reports, using insights to recommend improvements. Communicate operational updates and challenges to leadership, ensuring transparency and clarity. Requirements Experience working in a start-up environment will be considered a plus. Experience in workforce planning, operations, logistics, or marketplace management. Strong analytical mindset with a data-driven approach to decision-making. Quick real-time decision-making skills. Proactive problem-solver in fast-paced environments. Excellent communication and attention to detail. Experience with workforce management tools(a plus). This job was posted by Valan Prabhu from Pibit.ai. Show more Show less

Job Title: Customer Success Manager US B2B SaaS Location: Bangalore, India (Remote/Hybrid – Night Shift aligned to US Time Zone) Experience: 2–4 years | Compensation: up to 10 LPA 4–6 years | Compensation: up to 24 LPA Industry: B2B SaaS (Insurtech) Department: Customer Success / Account Management About the Company We are a fast-growing, Y Combinator-backed startup operating in the B2B SaaS space , specifically focused on delivering AI-powered solutions to the US insurance market . Our generative AI platforms are helping enterprise insurers automate and optimize underwriting decisions to improve risk assessment and profitability. As we scale, we are hiring a Customer Success Manager to drive strategic client relationships, retention, and growth across US accounts. Key Responsibilities Act as the primary point of contact for enterprise clients post-sale, owning relationships and ensuring ongoing value delivery. Lead onboarding, implementation, and adoption to ensure smooth customer transitions and engagement. Identify and execute upsell and cross-sell opportunities in collaboration with Sales. Run weekly/biweekly sync-ups and Quarterly Business Reviews (QBRs) to measure progress, align expectations, and retain stakeholder buy-in. Resolve client issues with a solutions-focused approach and deep product expertise. Cultivate client advocacy through referrals, testimonials, and co-marketing efforts. Coordinate client engagement activities including strategic events and executive sessions. Partner with Product, Operations, and Sales teams to ensure a unified and high-impact customer journey. Gather client feedback and insights to influence the product roadmap and service delivery. Required Skills & Experience Minimum 2 years in a Customer Success or Account Management role within a B2B SaaS company targeting the US market . Demonstrated success managing mid to high ACV ($60K–$200K) accounts. Background in SaaS, AI-driven platforms, or engineering services, preferably within Insurtech or adjacent domains. Strong communication, relationship management, and problem-solving skills. Track record of driving customer expansion and retention. Comfortable working in US time zone (Night Shift) from India. Bonus: Experience with AI solutions or in startup environments is an advantage.