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Open nowPosted 157 days ago

Associate Product Manager | Gurgaon

FieldAssist21 open roles

Where
Gurugram, India
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Your applicationOpen nowAssociate Product Manager | GurgaonFieldAssist · Gurugram, India

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The clock on this job

Early applications get read.

12.1% 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. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 157 days ago

The posting

As an Associate Product Manager, you’ll be the bridge between customer needs, business goals, and technical execution. You’ll manage collaborative decision-making, validate feature assumptions, and ensure product delivery meets both current and future demands. You’ll work across teams to translate complex problems into scalable, user-friendly solutions while building trust with clients through informed, data-backed decisions.

About Us:

Welcome to FieldAssist, where Innovation meets excellence!!

We are a top-tier SaaS platform that specializes in optimizing Route-to-Market strategies and enhancing brand relationships within the CPG partner ecosystem. With over 1,25,000 sales users representing over 750+ CPG brands across 25+ countries in South East Asia, the Middle East, and Africa, we reach 25,000 distributors and 7.5 million retail outlets every day.

Do you crave a dynamic work environment where you can excel and enjoy the journey? We have the perfect opportunity for you!!

About the role:

Product Decision-Making & Problem Solving

Run 360° problem analysis: define the problem, map solutions, surface edge cases, and secure cross-team alignment.

Balance user feedback with business needs to decide what to build and when.

Validate before scale: test assumptions with data deep-dives, future-impact analysis, and small pilots.

Measure & reduce friction: use SQL and dashboards plus UAT, and NPS to track adoption, defects, and revenue impact and drive UX fixes.

Prioritize ruthlessly, apply RICE / effort–impact frameworks and weigh company priorities, revenue urgency, and market signals.

Client Interaction & Negotiation

Lead enterprise client discussions for key decisions, onboarding prep/reviews, and high-value escalations.

Apply negotiation skills to manage requests — saying “no” when necessary with data-backed reasoning.

Commit to futuristic builds where relevant, ensuring client confidence without overpromising.

Delivery & Execution

Oversee sprint deliverables, backlog hygiene, and SOP documentation. Guide analysts to ensure quality outputs aligned with product priorities. Maintain team sanity by evaluating user-friendliness and forward-compatibility of releases.

Manages feedback, bugs, and roadmap shifts; leads enterprise UATs to validate features pre-launch.

Collaboration

Drive collaborative decisions with CST, Tech, Design, and Sales on features, risks, and dependencies. Coaches L1/L2 peers on scoping, validation, and delivery. Partners with Tech, CS, and QA to deliver high-quality features on schedule- planning cadences. Interfaces with CS for onboarding, system integrations and issue resolution. Leads grooming sessions and async collaboration with Tech/QA. Shadows sales calls to gain market context. Prepares client demos, presentations, and reviews with CS/PMs.

AI & Tool Adoption

Integrate AI tools (e.g., ChatGPT, Replit, Mail verification tools) into daily workflows for research, UI iteration, and automation.

Continuously experiments with new tools and methods to boost delivery speed, automate workflows, build reusable systems, and enhance decision quality.

Who we're looking for:

  • Bachelor’s degree in Engineering, Computer Science, Business, or related field.
  • 2–3 years product experience, preferably in SaaS
  • Strong analytical and problem-solving foundation.
  • Shapes features through early discovery and data-driven feedback loops (UATs, demos).
  • Resolves product escalations and supports CS independently.
  • Drives adoption with scalable, reusable solutions.
  • Flags scope drift, blockers, and inefficiencies early.
  • Makes trade-off calls, employing internal frameworks, during onboarding and prioritizes using urgency, impact, and revenue lenses.
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