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Open nowPosted 264 days ago

Product Manager

Gushwork12 open roles

Where
Bengaluru
Work mode
On site
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Your applicationOpen nowProduct ManagerGushwork · Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Gushwork's own form.

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Gushwork postings stay open a median of 24 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 264 days ago

Gushwork median: 24 days open

The posting

Gushwork is building an Agent Operating System for small and mid-sized businesses around the world. It is a modern business software where AI agents and humans work together. Business owners and leaders set the goals. They decide what each agent is allowed to do. Then they review the metric each agent delivers.

We started with an SEO agent. It owns one metric: organic leads. Once it ranks pages and brings in leads, it reports them back to the customer. We are now expanding into a Paid Ads agent and a Developer agent, each owning a metric the business cares about.

Our customers sell high-value goods and services and have fewer than 200 employees. Most of them are in industries that are not digitally native: manufacturers, industrial distributors, commercial services. They do not buy AI. They buy outcomes. Our job is to make agents reliable enough that a business owner can trust them with a number.

We are a team of about 90 people based in Bengaluru, backed by Lightspeed and SIG. If you want to want to help us build reliable agents that runs real businesses, we're excited to meet you!

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:

  • 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.
  • 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.
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