Job Description: Position : Client solutioning manager Department : Sales / Business Development Reports to : Chief business Officer Location : Bangalore Job Type : Full-time Compensation : Fixed: 5L - 6L + Variable CTC Responsibilities Key account management Building and maintaining relationships with key clients Develop strategic thinking when planning to help accounts to grow in value and trust Help clients day to day to solve problems and overcome challenges Identify opportunities for upselling and cross selling where applicable Understand client industry trends and accordingly anticipate further requirements Liaise with internal teams where needed to ensure client deliverables are met Operations Overseeing day to day operational processes & smooth functioning of it Ensuring adherence to quality as per standard operating procedures are met Taking responsibility for client side delivery via project management Suggest process level improvements & overall efficiency where applicable Ability to hire, train, develop & manage a team Customer success Ensure seamless client onboarding is carried out post sales closure Take end to end ownership of proof of concept projects with clients where applicable Set expectations in terms of product usage / deliverables across stakeholders via training and development sessions and other relevant interventions Conduct periodic check-ins with the customer, ensuring business goals are being met Be a client advocate as a voice of customer to all internal teams at AbleCredit Requirement Excellent communication and interpersonal skills Strong analytical and data interpretation abilities Ability to build rapport and trust with customers Proven problem-solving and conflict resolution skills Understanding of the product or service being offered Ability to prioritize tasks and manage multiple customer accounts effectively About Us AbleCredit uses Generative AI with Voice, Vision, and Language capabilities, to solve the Credit Gap of emerging economies. In India alone, the Credit Gap is over USD 5T (Trillion!). This is the single largest contributor to poverty, poor genie index, and lack of opportunities. Our Vision is to deploy AI reliably, and safely to solve some of humanity's greatest problems. We believe in Impact and integrity above all else Note on Compensation Policy: Hiring and nurturing the best talent is the central part of our business focus. As a result, we try and provide not just better than market salary, but have a strong, performance-based incentive structure for all the employees. The quoted salary is based on our best understanding of the market and is subject to increase for the right candidate depending upon their fitment, skills, and experience
Position: AVP, Customer Success: Generative AI SaaS Product Department: Customer Success Reports to: VP Customer Success / Co-founder Location: Bangalore Job Type: Full-time About AbleCredit AbleCredit has built a foundational AI platform to help BFSI enterprises reduce OPEX by up to 70% by powering workflows for onboarding, claims, credit, and collections. Our GenAI model achieves over 95% accuracy in understanding Indian dialects and excels in financial analysis. The company was founded in June 2023 by Utkarsh Apoorva (IIT Delhi, built Reshamandi, Guitarstreet, Edulabs); Harshad Saykhedkar (IITB, ex-AI Lead at Slack); and Ashwini Prabhu (IIML, co-founder of Mythiksha, ex-Product Head at Reshamandi, HandyTrain). Position Summary You will be responsible for driving customer outcomes, retention, and expansion by owning the post-sales relationship with enterprise clients across Banks and NBFCs. This includes onboarding, workflow mapping, driving adoption, resolving escalations, and ensuring that customers achieve measurable business impact through our Generative AI products. You will collaborate closely with Product, Delivery, and Sales teams to create a seamless customer experience. What You Will Do Enable Banks and NBFCs to transform their credit, risk, and operations workflows using AbleCredit’s Generative AI systems across voice, vision, and language automation. Lead the end-to-end onboarding journey for enterprise customers, ensuring smooth implementation, configuration, and go-live. Understand customer credit, underwriting, risk, operations, and collection workflows; identify where AI can improve efficiency, reduce costs, or increase throughput. Drive product adoption by defining success plans, usage targets, and measurable business outcomes for each customer. Build strong relationships with CXOs, risk heads, credit heads, and ops leaders to position AbleCredit as a strategic partner. Proactively engage customers through regular reviews, performance insights, and value-realization sessions. Own renewal strategy and collaborate with Sales on upselling and expansion opportunities. Act as the primary escalation point for customer issues; work with Delivery / Product to ensure timely resolution. Monitor account health using product analytics; identify churn risks early and execute recovery plans. Gather product feedback from customers and work closely with Product teams to influence roadmap direction. Develop playbooks and repeatable processes for onboarding, support, and customer lifecycle management. Mentor junior Customer Success Managers and help scale the function as the customer base grows. Stay updated on digital lending, AI automation trends, risk frameworks, and compliance norms within BFSI. You Should Have 7–12 years of experience in Customer Success or Delivery roles for enterprise SaaS, preferably in BFSI. Mandatory experience working with Banks, NBFCs, or Financial Institutions—either as a vendor or within their digital/credit/risk teams. Strong understanding of lending workflows: credit underwriting, KYC, risk operations, collections, or loan lifecycle management. Experience driving adoption of complex enterprise SaaS or AI/analytics products. Excellent communication, program management, and executive stakeholder management skills. Ability to translate customer problems into product workflows and measurable value. A proactive problem-solver with the ability to navigate ambiguity and manage cross-functional dependencies. Ambition to grow into a senior Customer Success Leader role. Skills:- Customer Success
SDE 2 / SDE 3 – AI Infrastructure & LLM Systems Engineer Location: Pune / Bangalore (India) Experience: 4–8 years Compensation: no bar for the right candidate Bonus: Up to 10% of base About The Company AbleCredit builds production-grade AI systems for BFSI enterprises , reducing OPEX by up to 70% across onboarding, credit, collections, and claims. We run our own LLMs on GPUs , operate high-concurrency inference systems, and build AI workflows that must scale reliably under real enterprise traffic. Role Summary (What We’re Really Hiring For) We are looking for a strong backend / systems engineer who can: Deploy AI models on GPUs Expose them via APIs Scale inference under high parallel load using async systems and queues This is not a prompt-engineering or UI-AI role. Core Responsibilities Deploy and operate LLMs on GPU infrastructure (cloud or on-prem). Run inference servers such as vLLM / TGI / SGLang / Triton or equivalents. Build FastAPI / gRPC APIs on top of AI models. Design async, queue-based execution for AI workflows (fan-out, retries, backpressure). Plan and reason about capacity & scaling: GPU count vs RPS batching vs latency cost vs throughput Add observability around latency, GPU usage, queue depth, failures. Work closely with AI researchers to productionize models safely. Must-Have Skills Strong backend engineering fundamentals (distributed systems, async workflows). Hands-on experience running GPU workloads in production. Proficiency in Python (Golang acceptable). Experience with Docker + Kubernetes (or equivalent). Practical knowledge of queues / workers (Redis, Kafka, SQS, Celery, Temporal, etc.). Ability to reason quantitatively about performance, reliability, and cost. Strong Signals (Recruiter Screening Clues) Look For Candidates Who Have Personally deployed models on GPUs Debugged GPU memory / latency / throughput issues Scaled compute-heavy backends under load Designed async systems instead of blocking APIs Nice to Have Familiarity with LangChain / LlamaIndex (as infra layers, not just usage). Experience with vector DBs (Qdrant, Pinecone, Weaviate). Prior work on multi-tenant enterprise systems. Not a Fit If Only experience is calling OpenAI / Anthropic APIs. Primarily a prompt engineer or frontend-focused AI dev. No hands-on ownership of infra, scaling, or production reliability. Skills:- Large Language Models (LLM), LLMops, Generative AI and Large Language Models (LLM) tuning