Associate Product Manager- AI Solutions

Experience: 2-4 Years

Why This Role Exists

Scalong, a brand of iBoss Tech Solution Pvt. Ltd., builds business-centric AI and automation products that help enterprises simplify complex workflows and improve decision-making. Established in 2007, we are an ISO 27001 certified technology company with deep experience across enterprise software, automation, APIs, cloud, and AI-led transformation.

Our focus is on building practical AI products — not just ideas on slides. We work on solutions involving LLMs, workflow automation, knowledge systems, APIs, enterprise integrations, and rapid prototyping to solve real business problems.

Why This Role Exists

We are looking for a hands-on Associate Product Manager who can help us take AI product ideas from customer conversations to real working solutions. This is not a passive documentation role.

We need someone who can:

understand business problems clearly

run product demos confidently

gather and structure requirements well

think through workflows end-to-end

create quick POCs using AI tools

work closely with engineering, AI, QA, and leadership to move products faster

This role is ideal for someone who enjoys both thinking and doing — someone who can sit in a customer discussion, identify the real problem, convert it into structured requirements, and also use modern AI tools to validate ideas quickly before full-scale engineering starts.

What You Will Own

Requirement Gathering & Problem Discovery

Attend client meetings, internal workshops, and discovery discussions

Ask the right questions to identify the actual business problem, edge cases, dependencies, and expected outcomes

Convert discussions into structured requirements, workflows, user journeys, user stories, and acceptance criteria

Identify gaps, ambiguities, and risks early instead of passing unclear requirements downstream

Product Demos & Customer-Facing Work

Deliver product demos to prospects, clients, and internal stakeholders

Tailor demos based on industry, use case, and client pain points

Support onboarding, training, and feedback sessions

Capture feedback from demos and discussions, and convert it into actionable product inputs

AI-Based POCs & Rapid Prototyping

Use AI-assisted tools such as Cursor, Claude Code, Lovable, Copilot, or similar tools to build quick prototypes and proof-of-concepts

Validate new ideas before engineering bandwidth is committed

Test prompts, workflows, AI outputs, and use case feasibility

Support the team in comparing possible approaches for faster product decisions

Product Documentation & Execution Support

Prepare PRDs, feature notes, workflows, user stories, release notes, and process documents.

Work with engineering and AI teams to clarify requirements during development

Conduct sprint planning, backlog grooming, UAT coordination, and feature rollouts

Ensure requirements are implementation-ready and not vague

Cross-Functional Coordination

Work closely with engineering, AI, QA, design, product leadership, and business teams

Help align teams on priorities, dependencies, and delivery timelines

Follow up proactively to keep work moving

Bring structure and clarity in fast-moving environments

Holistic Product Thinking

Think beyond just features — connect business needs, user experience, technical feasibility, workflow impact, and delivery practicality

Spot missing steps, operational issues, and downstream effects during product discussions

Help shape practical solutions, not just ideal ones

What we are looking for

Must have

2–4 years of experience in Product, Business Analysis, Solutioning, Pre-Sales Product, or a similar role in software / SaaS / AI products

Strong ability to gather requirements and convert discussions into structured documentation

Confidence in giving product demos and speaking with clients/stakeholders

Hands-on comfort with AI tools for prototyping, ideation, testing, and fast execution

Strong logical thinking and the ability to understand workflows end-to-end

Ability to work closely with technical teams and understand APIs, integrations, and product flows at a practical level

Good documentation skills: PRDs, user stories, workflows, process notes, or feature specs

Familiarity with Jira, Confluence, Excel, and standard execution tools

Strong ownership, follow-through, and comfort working in ambiguity

Strong techno-functional understanding with the ability to work closely with engineering teams and evaluate whether a proposed solution approach is aligned to business goals.

Good-to-Have Skills

Experience working on AI, LLM, automation, workflow, chatbot, voicebot, or enterprise SaaS products

Exposure to prompt engineering, RAG, AI APIs, or evaluation of AI tools/vendors

Ability to create basic structured cost models or effort thinking in Excel

Familiarity with SQL, Python, Postman, Power BI, or API testing tools

Startup or fast-paced product environment experience

Exposure to pre-sales, solution demos, or client workshops

Tools You Should Know (or Learn Fast)

Category

Tools

Product Management

Jira, Confluence

AI Prototyping

Cursor, Claude Code, Lovable, GitHub Copilot

Documentation

Excel, Google Sheets, PowerPoint

Design

Claude Code, Figma, AI-assisted design tools

Data and Modeling

Excel (advanced), SQL, Python (basic), Power BI

AI Ecosystem exposure

OpenRouter, OpenAI, AWS Bedrock, Azure AI, Anthropic

Technical Understanding

Postman, SQL, Python, GitHub, AI, AI Agents

What Success Looks Like in the First 6 Months

Independently conducts strong product demos and requirement discussions

Creates clear PRDs / workflow documents that engineering can directly use

Builds 2–3 useful AI-led POCs or prototype flows for product validation

Improves requirement clarity and reduces rework during development

Becomes a dependable bridge between business discussions and technical execution

Contributes meaningfully to at least one shipped feature, workflow, or client-facing solution

Demonstrates strong ownership, structured thinking, and speed of execution

Who will do well in this role

You will do well here if:

you like understanding how businesses actually work

you ask smart follow-up questions instead of taking vague requirements at face value

you are comfortable speaking to clients as well as engineers

you enjoy using AI tools to test, prototype, and move faster

you think in workflows, not just screens

you do not wait to be spoon-fed every next step

you like roles where product, execution, and customer exposure come together

Who this role is not for

This role is probably not the right fit if:

you only want to manage tickets and meetings

you are not comfortable with customer-facing work

you prefer fully defined tasks with little ambiguity

you are not interested in using AI tools hands-on

you struggle to convert discussions into structured product requirements