Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 104 days ago

Product Success Analyst

FieldAssist21 open roles

Where
Gurugram, India
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowProduct Success AnalystFieldAssist · Gurugram, India

  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 FieldAssist's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 104 days ago

The posting

Role Overview

This is a builder's role. As a Product Success Analyst, you will sit directly with the client's problem, understand their business context, and build custom AI-driven solutions to solve it, using large language models (LLMs) and modern AI tooling. The model is forward-deployed: you work at the customer's problem rather than behind the product. You will move fluidly between two modes, understanding the business (what the client actually needs, what will create value, what is feasible) and building the solution (configuring, prototyping and assembling AI-powered workflows that deliver it). Both matter equally: a solution nobody needs is as useless as a need nobody can build for. You will own engagements end-to-end across multiple modules and clients simultaneously, and work closely with our product and engineering teams to take what you build from prototype to production.

Key Responsibilities

• Understand the client's business problem: engage directly with customer stakeholders to uncover what they need, what is feasible, and where AI can create real value.

• Build custom solutions using AI and LLMs: design, prototype and assemble AI-powered workflows tailored to each client, using LLM tools, prompting, and light scripting to turn a business problem into a working solution.

• Own delivery end-to-end: drive engagements across FAi's modules from pilot through full-scale rollout, across different client types and geographies.

• Work hands-on with data: prepare, structure and validate client datasets so that solutions are accurate and deployment-ready.

• Partner with product and engineering teams: take prototypes to production, feed client and field learnings back into the product, and help shape the roadmap.

• Manage client relationships: act as the day-to-day point of contact, manage expectations, and maintain engagement momentum and quality.

• Support pre-sales and solutioning: build quick proofs of concept and pre-analysis to demonstrate what FAi can do for prospective clients. Requirements

• 1–4 years of experience in a solutions, delivery, deployment, consulting, analytics, or product role.

• Demonstrated ability to build solutions using AI / LLMs — you have used tools like ChatGPT, Claude or similar, along with prompting and light scripting (e.g. Python), to build something that solved a real problem. This is the core of the role.

• Strong business and problem understanding: the ability to sit with an ambiguous, loosely-defined client problem, work out what actually needs solving, and translate it into a solution.

• Working proficiency with data: comfortable with Excel/Google Sheets and SQL, and structuring and validating data for use in a solution.

• Customer or stakeholder ownership: experience engaging external stakeholders directly, through delivery, implementation, or client-facing work.

• Strong written and verbal communication, able to engage both clients and internal technical teams clearly.

• Ability to manage multiple engagements concurrently across different clients and modules, including occasional field visits.

Good to Have

• Hands-on experience building with LLM APIs, agents, or AI automation / workflow tools.

• Exposure to FMCG, retail, CPG, or field-force / go-to-market domains.

• Conceptual familiarity with AI/ML, computer vision, or coverage optimisation (understanding of concepts, not model development from scratch).

• Experience in a startup or high-growth environment with fluid, evolving responsibilities.

• A bachelor's degree in engineering, business, analytics, or a related field.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against FieldAssist's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on FieldAssist's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    FieldAssist's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.