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About Us:
Backed by Lightspeed, B Capital & Beenext (Raised over $11M), Gushwork drives inbound leads for small and medium businesses from AI search engines like Gemini and ChatGPT with a swarm of AI agents designed to growth the visibility of any website with content.
We are backed by some of the top tier VCs of the world and are one of the fastest growing AI companies being built out of India for the world. We work with over 200+ customers and building a team to 10x this in the next 12 months. We are a team of 60 hungry, ambitious & hard working individuals and are adding more people to the team who share our desire to leave a lasting impact on humanity.
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)
- 4–6+ 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 n8n or Zapier, 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
- 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.
- Health benefits, flexible time off, wellness programs.A fast-moving, high-autonomy environment where your voice is heard.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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