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Pavithranarra Nest Pvt ltd

Position: Senior Solution Engineer (Pre-Sales) &ndash; B2B SaaS Location: Remote (India-based, supporting US market) Experience Required: 4 &ndash; 6 Years Working Days: 5 Days/Week (US Timings: 4/5 PM &ndash; 3 AM IST)Review CriteriaMandatory Requirements:<ul><li>Minimum 4+ years of experience in pre-sales or solution engineering within a B2B SaaS environment.</li><li>Proven experience conducting technical discovery sessions, client demos, and POCs with enterprise or mid-market clients.</li><li>Hands-on experience in solutioning, configuring, and implementing technical SaaS demos.</li><li>Strong understanding of APIs, SaaS architecture, and integration workflows.</li><li>Must come from a B2B SaaS product background.</li></ul>Preferred:<ul><li>Experience using CRM systems (e.g., Salesforce) to manage client pipelines and deal stages.</li><li>Exposure to FinTech, billing, accounting, or revenue recognition systems &mdash; understanding concepts such as contracts, invoices, receivables, and pricing models.</li><li>Background in computer science or prior coding experience (advantageous).</li></ul>Role &amp; ResponsibilitiesSolutioning &amp; Implementation<ul><li>Understand client billing models and configure contracts, pricing, and invoicing workflows.</li><li>Lead customer pilots and implementations ensuring complete onboarding within 3&ndash;8 weeks.</li><li>Translate complex customer requirements into structured product configurations and workflows.</li></ul>Pre-Sales &amp; Technical Discovery<ul><li>Support the sales team in live demos, sandbox configurations, and RFP responses.</li><li>Conduct discovery calls to map capabilities with customer needs.</li><li>Create and maintain customized demo environments showcasing real use cases.</li></ul>Internal Collaboration &amp; Escalation<ul><li>Represent the voice of the customer across product, tech, and sales teams.</li><li>Provide structured feedback and assist with troubleshooting or escalation where required.</li><li>Ensure smooth handoffs between pre-sales, implementation, and customer success teams.</li></ul>Documentation &amp; Enablement<ul><li>Prepare client-specific onboarding and configuration documentation.</li><li>Contribute to internal knowledge bases, training content, and playbooks.</li><li>Communicate clearly across both business and technical stakeholders.</li></ul>Ideal Candidate<ul><li>4&ndash;6 years of relevant experience in pre-sales or solution engineering (B2B SaaS).</li><li>Comfortable working in US time zone (evening/night IST).</li><li>Strong grasp of SaaS systems, APIs, and product workflows.</li><li>Analytical mindset with structured problem-solving abilities.</li><li>Empathetic communicator with a customer-first mindset.</li><li>Entrepreneurial attitude with willingness to take ownership and wear multiple hats.</li><li>Familiarity with accounting/billing logic and system integration concepts.</li><li>Self-driven, proactive, and outcome-oriented.</li></ul>Compensation &amp; Benefits<ul><li>Fixed + Variable (Performance-based)</li><li>ESOPs (for full-time roles)</li><li>Remote work opportunity (serving US market)</li><li>Health Insurance</li><li>Generous Vacation Policy</li><li>Learning &amp; Development Budget</li><li>Team Events and Company Offsites</li><li>Maternity &amp; Paternity Benefits</li><li>Company Laptop</li><li>Friday Game Nights</li></ul>Job Type: Full-timePay: &#8377;1,500,000.00 - &#8377;2,400,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Work from home</li></ul>Application Question(s):<ul><li>1.	Are you open to working in US timings (4/5 PM &ndash; 3 AM IST)?</li><li>2.	Please provide your CTC breakup (Fixed + Variable).</li><li>3.	Email &amp; Contact number</li><li>4.	Experience in Years in pre-sales or solution engineering (B2B SaaS).</li><li>5.	Current location</li></ul>Work Location: Remote

Senior Solution Engineer (Pre-Sales) – B2B SaaS

Position: Senior Data Scientist (AI/ML/GenAI) Location Options: Mumbai / Bengaluru / Hyderabad / Gurugram Experience Required: 5 &ndash; 12 Years Working Days: 5 Days/Week (Hybrid &ndash; 3 Days WFO) Notice Period: Maximum 60 Days Outstation Candidates: AllowedMandatory Requirements:<ul><li>Minimum 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning systems in production.</li><li>Strong hands-on experience with Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.</li><li>At least 1 year of experience in fine-tuning Large Language Models (LLMs) using LoRA/QLoRA and building RAG (Retrieval-Augmented Generation) pipelines.</li><li>Practical experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows.</li></ul>Preferred Requirements:<ul><li>Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems.</li><li>B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related technical field.</li></ul>Role and Responsibilities<ul><li>Lead end-to-end machine learning lifecycle activities including model design, training, evaluation, deployment, and scaling.</li><li>Build and manage production-ready ML pipelines with CI/CD, monitoring, testing, and model drift detection.</li><li>Fine-tune LLMs and implement RAG-based systems for enhanced retrieval and reasoning.</li><li>Design and develop agentic workflows for planning, reasoning, and decision-making.</li><li>Create both real-time and batch inference systems using Docker, Kubernetes, and Spark.</li><li>Utilize advanced architectures such as transformers, diffusion models, RLHF, and multimodal systems.</li><li>Work collaboratively with engineering and product teams to integrate AI models into production applications.</li><li>Mentor junior team members and promote best practices in scalable ML systems, MLOps, and responsible AI.</li></ul>Ideal Candidate Profile<ul><li>Proven experience in production-grade ML/DL system design and deployment.</li><li>Expertise in LLM fine-tuning, RAG pipelines, and vector search tools (e.g., Weaviate, PGVector).</li><li>Strong software engineering background with knowledge of APIs, version control, and testing.</li><li>Familiarity with agent-based development approaches (e.g., ReAct agents, orchestration, function-calling).</li><li>Ability to balance research innovation with production scalability.</li><li>Additional advantage for open-source contributions, GenAI research, or large-scale applied systems.</li></ul>Job Type: Full-timePay: &#8377;3,500,000.00 - &#8377;4,600,000.00 per yearApplication Question(s):<ul><li>Which is your preferred location for onsite (Mumbai / Bengaluru / Hyderabad / Gurugram)?</li><li>Are you comfortable with a 3-days WFO setup</li><li>Current &amp; Expected CTC?</li><li>Email &amp; Contact number</li><li>Current location</li><li>Experience in Years in designing, deploying, and scaling ML/DL systems in production?</li></ul>Work Location: Remote

Senior Data Scientist (AI/ML/GenAI)

Join Pavithranarra Nest Pvt ltd and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Pavithranarra Nest Pvt ltd

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Senior Solution Engineer (Pre-Sales) – B2B SaaS

Senior Data Scientist (AI/ML/GenAI)