Job Description – Product Manager- jAI
Business Unit
Product Engineering
Job Title
Product Manager- jAI
Company Details
Who we are?
Finvasia is a global fintech company offering technology-driven financial services across trading, investing, and wealth management.
What we do?
With a strong presence in multiple countries, Finvasia focuses on innovation, zero-cost trading solutions, and empowering users through advanced platforms and tools.
Know more about us:
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Website Finvasia - https://finvasia.com
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https://shoonya.com
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https://jumpp.finance
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Follow us on LinkedIn Page - https://linkedin.com/company/finvasia
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https://linkedin.com/company/shoonyadotcom
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https://linkedin.com/company/jumpp-finance
Job Summary:
jAI is the AI assistant at the heart of Jumpp, helping users navigate banking, investing, trading, and wealth management through natural, multilingual conversation. We're looking for a Product Manager to take jAI from its current form to a genuinely intelligent, trusted financial companion - one that works reliably across 11 Indian languages and holds up to the scrutiny financial-services products demand.
Key Responsibilities:
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Define and own the jAI product vision, strategy, roadmap, and full product lifecycle.
- Identify, prioritise, and launch AI/GenAI use cases across personal finance, investing, trading, and wealth management - from conversational assistance to personalised insights and market/stock intelligence.
- Drive 01 and 1N development, from customer discovery and PRDs through launch, adoption, and scale.
- Build AI-powered experiences including the financial assistant, personalised recommendations, intelligent search, and proactive nudges - designed to work in English and major Indian languages.
- Own the quality bar for a customer-facing LLM product: define evaluation frameworks, reduce hallucinations, set guardrails, and ensure responses are accurate, explainable, and safe when users are making money decisions.
- Work closely with Engineering, Data Science, Design, Analytics, Business, Risk, and Compliance to ship responsibly.
- Define product KPIs, run experiments, and continuously improve jAI's performance, adoption, containment/resolution, and customer experience.
- Ensure jAI is scalable, reliable, explainable, secure, and compliant with Indian financial-services requirements.
- Need to add accountability of new user acquisitions, retention, engagement of existing clients.
- Responsibility to improve cross functional product growth and revenue.
Required Skills - Must Have
- 8+ years of Product Management experience, with a minimum of 3–4 years in FinTech, WealthTech, Banking, Broking, or Capital Markets (non-negotiable - this role requires someone who understands regulated financial products, not just AI).
- Demonstrated experience shipping conversational AI, chatbots, virtual assistants, or LLM-powered products to real users at scale - not just internal tools or POCs.
- Strong, hands-on working knowledge of GenAI, LLMs, RAG, prompt engineering, AI agents, NLP, and recommendation systems - enough to make sound trade-off calls with engineering, not just brief them.
- Practical grasp of the realities of running LLMs in production: latency vs. quality vs. cost trade-offs, evaluation and offline/online testing, hallucination mitigation, guardrails, and grounding responses in trusted data.
- Good understanding of investing, trading, personal finance, market data, and wealth-management products in the Indian context (retail investors, UPI/payments, mutual funds, FDs, digital gold, equities/broking).
- Strong understanding of APIs, data platforms, experimentation, and product analytics.
- Excellent stakeholder management, communication, structured problem-solving, and product-leadership skills.
Good to Have
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Experience building multilingual or vernacular products for Indian users, including handling code-mixing (e.g. Hinglish) and non-English intent.
- Exposure to voice interfaces or speech-driven assistants.
- Familiarity with market/stock intelligence, real-time data feeds, or algorithmic/predictive analytics for trading.
- Experience within a super-app or multi-product platform, balancing a shared assistant across many lines of business.
- A track record of defining eval/quality frameworks for GenAI products from scratch.
