Product Manager

What You’ll Do

• Drive Cross-Functional Performance: Act as the "Product CEO" for your domain; proactively hunting for friction in the user journey and engineering the connective tissue between Product, Sales, and Success.
• Architect Agentic Systems: Design and deploy autonomous AI workflows (n8n, APIs, LLMs) that move beyond linear logic to automate reasoning-based tasks across Sales and Support.
• Ship High-Fidelity Prototypes: Rapidly build and own internal tools or "makeshift" features using no-code stacks (Retool, Lovable) to unblock GTM teams and validate ideas before Engineering commits code.
• Operationalize Product Intelligence: Bridge the gap between raw data and strategy by using SQL and LLMs to synthesize unstructured feedback into high-signal roadmap priorities.
• Command Full-Cycle Rollouts: Own the "last mile"—from technical QA and automated migrations to the enablement of CS and Sales—ensuring every feature is commercially and operationally ready.

What we’re looking for:

• Required (Must-Have)
 
• 2+ years of experience in Product Management, Product Ops, or Growth at a fast-growing B2B SaaS company.
• Basic AI Native Literacy: Beyond "chatting" with AI. Proven ability to design structured, version-controlled prompts (XML/Markdown tagging) for production use in internal tools or customer-facing features.
• Strategic Analytical Skills: Advanced proficiency in SQL and data visualization (Tableau, Looker, or PostHog). You should be comfortable performing cohort analysis and funnel modeling independently.
• Automation Expertise: Deep experience with Claude Code, n8n, including handling webhooks, API authentication, and error mapping.
• Full-Cycle Ownership: Experience taking a product or major feature from initial concept through to post-launch optimization.
• The "Startup Mindset": You thrive in ambiguity and are a "builder" by nature. You’d rather ship an 80% solution today than a 100% solution in three months.
• Technical Background: Ability to read/write basic JavaScript or Python for API debugging and custom logic within no-code tools.
 
• Good to have
 
• Non-Deterministic QA: In an LLM world, features don't just "work" or "break"—they hallucinate. You must have experience building using LLM tech stack.
• Eval frameworks (using tools like Braintrust, LangSmith, or custom spreadsheets) to measure the accuracy, tone, and reliability of AI-generated outputs.
• Cost & Latency Management: Ability to make trade-offs between model power (e.g., GPT-4o) and efficiency (e.g., GPT-4o-mini/Claude Haiku) based on the business value of the use case.
• Agentic Frameworks: Hands-on experience or deep familiarity with orchestrating LLM agents (e.g., using LangChain, CrewAI, or n8n’s AI nodes) to perform multi-step, non-linear tasks.

What you’ll get:

• Competitive base salary + performance-based bonus.
• Meaningful equity — you’ll be an early partner in our growth.
• Work directly with both the founders. No layers at all at this point.
• Access to all the tools, software, and resources (analytics, content, experiments, design, etc.)Budget for professional development — courses, books, conferences.
• Group Insurance Coverages for Health, Personal Accident, Term Life & OPD Benefits; flexible time off.
• A fast-moving, high-autonomy environment where your voice is heard.