---
title: 'Product Manager at Metaforms'
canonical: 'https://feeny.ai/job/product-manager-metaforms-bengaluru-683dp4187sen'
type: 'job'
last_seen: '2026-09-09'
---

# Product Manager at Metaforms

- **Company:** Metaforms
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-24
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/metaforms/d6406949-6a4b-44b0-af33-cefdf02afc72

## Job description

## About Metaforms

At Metaforms, we're redefining how market research gets done.

Market research still runs on legacy survey platforms, manual project operations, fragmented handoffs, and domain expertise locked in a few specialists' heads. Metaforms is building the agent layer that makes this work dramatically more efficient — without lowering the bar for quality, accuracy, or client trust.

Our vertically integrated AI platform empowers agencies like Dynata, Savanta, and Borderless Access to scale 10x faster, with AI Agents augmenting survey programming, data processing, and project management. We process 1,000+ surveys monthly, serve agencies working with Fortune 500 companies, and are backed by $9M in Series A funding to aggressively scale.

The product surface here is unusual. Surveys behave like programs, business workflows contain hidden operational nuance, and a small mistake creates real downstream cost for an agency and its clients. Product thinking at Metaforms isn't about copying familiar SaaS patterns — it's about understanding how work actually gets done, identifying where AI agents can reliably help, and shaping systems that feel intuitive to users while introducing genuinely new workflows underneath.

## The Role

We're hiring a Product Manager to define and ship new AI-native products and workflow experiences for research operations. The role sits at the intersection of user discovery, domain synthesis, product design, and engineering execution.

You'll go end to end — from interviewing users and subject matter experts, to identifying operational bottlenecks, to translating business needs into concrete requirements, to partnering closely with engineering through delivery.

This is a high-ownership role for someone who thrives in ambiguous spaces, reasons from first principles, and builds from zero rather than relying on existing category templates.

## What You'll Own

User Discovery & Problem Definition

- Conduct frequent interviews with research operators, project managers, survey programmers, and agency leaders to understand how work actually happens
- Turn messy qualitative input into clear product insights, problem statements, and opportunity areas
- Work closely with subject matter experts to separate surface requests from deeper workflow and systems problems
- Build conviction on where AI agents can remove manual effort, improve turnaround, or raise quality — without disrupting critical trust points

Product Design & 0→1 Development

- Define new product concepts, workflow patterns, and operating models for AI-assisted research work
- Design familiar-feeling user journeys that introduce new capabilities without overwhelming users
- Write requirements specific enough for engineering to execute, while preserving room for iteration where the solution space is still emerging
- Iterate rapidly on prototypes, internal feedback, and early customer usage to converge on products that are both useful and operationally viable

Cross-Functional Execution

- Translate business requirements into clear engineering asks — scope, constraints, acceptance criteria, and edge cases
- Partner tightly with engineering, design, operations, and domain experts through the build cycle
- Drive prioritization by balancing customer value, technical feasibility, reliability risk, and speed
- Ensure the team is solving the right problem, not just shipping the fastest version of the first idea

Product Quality & Adoption

- Define what "good" looks like for product outcomes, user trust, and workflow adoption
- Identify failure modes in user flows, handoffs, and agent behavior — especially in high-consequence operational steps
- Close the loop between shipped behavior, customer feedback, and roadmap decisions
- Own rollout, onboarding, and change management with customer success and operators so new workflows land in real agency production — including how adoption and efficiency gains are measured

Representative Problems You Might Work On

- Designing an AI-assisted workflow that turns a raw client questionnaire into an executable survey build process
- Creating review and approval loops where human operators guide or validate agent output without adding unnecessary friction
- Reworking a fragmented project-management flow into a single experience that makes bottlenecks, state, and exceptions visible
- Defining how internal subject matter experts collaborate with product and engineering to encode operational knowledge into a scalable system
- Building product surfaces that feel familiar to agency teams while delivering step-change improvements in speed and efficiency

## What We're Looking For

Must-have

- Proven product management experience shipping software from concept to launch
- Demonstrated ability to operate in ambiguous, early-stage, or zero-to-one environments
- Strong user discovery skills — interviewing, pattern extraction, and synthesis into product direction
- Comfort going deep with subject matter experts and operational stakeholders in initially unfamiliar domains
- Ability to write requirements engineering can execute without a translator — including constraints, edge cases, and failure modes
- Strong product judgment across scope, workflow design, trade-offs, and iterative delivery
- Willingness to reason about AI/agent behavior in production: when to trust automation, when to require human review, and how quality and reliability show up for users
- Bias toward defining and tracking workflow outcomes (speed, quality, trust, adoption) — not just shipped scope
- Excellent written and verbal communication; direct, high-ownership style under incomplete information — clarity over polish, and willingness to call out when direction is wrong

Nice-to-have

- Experience building AI-native, automation-first, or workflow software — especially human-in-the-loop or reliability-sensitive systems
- Experience partnering closely with engineering on technically complex platforms
- Experience on products used by operations teams, services teams, or expert users
- Exposure to market research, survey tooling, data operations, or adjacent workflow-heavy B2B domains (high-leverage, not required)

How Success Looks

- Users say the product fits how their work actually happens — not how software teams assumed it happened
- Engineering gets clear, high-signal product inputs and moves fast without repeated ambiguity tax
- New workflows feel intuitive enough to adopt, while delivering meaningful gains in speed, quality, or operational leverage
- Shipped workflows show measurable gains in turnaround, quality, or adoption, with failure modes understood and managed — not just features launched

## Why Metaforms

- Work on AI products operating in real production environments — not demos or feature theater
- Shape entirely new workflow categories instead of incrementally copying existing tools
- Join a team where product, engineering, and domain understanding are tightly coupled
- Operate with high ownership, fast iteration loops, zero bureaucracy, and direct influence on what gets built

## Benefits

- Full family health insurance
- $1,000 USD annual reimbursement for skill development
- Dedicated mentor/coach support
- Free lunch and dinner at the office
- Monthly food and snacks allowance

## About Metaforms

## Company Overview
- **One-liner**: Metaforms provides an AI-powered platform that automates and augments market research operations for agencies, covering survey programming, data processing, bidding, sample management, and voice research.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2023
- **Founders**: Akshat Tyagi (CEO), Arjun S (CTO)

## Core Business
- **Primary industry**: Market Research Technology (Market Research Operations / AI for Research)
- **Target customers**: B2B — Market research agencies, insights teams, and survey programmers
- **Mission or purpose statement**: "Making research accessible to every business" by giving market research agencies AI superpowers to deliver insights 10x faster.

## Products & Services
- **Survey Programming (AI-Copilot)**: An AI agent that generates production-ready survey code (SPSS, Dimensions, Python, JavaScript) from uploaded questionnaires. Handles complex logic like MaxDiff, segmentation, piping, and loops. Includes version control, multi-programmer workflows, and real-time error detection.
- **Data Processing**: AI that flags discrepancies, handles complex validation logic, and integrates with existing macros and workflows to automate data cleaning and processing.
- **Bidding Management**: Transforms incoming client emails/RFPs into structured project specifications, identifies missing requirements, and generates accurate quotes using the agency's exact pricing logic.
- **Sample Management**: Automatically routes sample requests to the best suppliers, tracks and re-balances quotas across vendors in real-time, and consolidates responses into cost/feasibility comparisons.
- **Voice Research**: AI-moderated voice interviews at scale, automating scheduling, respondent screening, and data capture, delivering structured insights.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Raised $9 Million in Series A funding (announced 2025)
- **Notable Investors/Partners**: Not publicly named in available sources; investors are listed as part of the Series A round.
- **Growth Signals**: 58 employees as of mid-2025; offices in New York (HQ), Bengaluru, and San Francisco; trusted by "world's leading agencies"; growing team with open roles in product engineering, customer success, and product management.

## Competitive Advantages
- **Vertical-Specific AI**: Unlike general-purpose AI tools, Metaforms is purpose-built for the market research industry, learning agency-specific coding styles, standards, and pricing logic.
- **End-to-End Workflow Coverage**: The platform spans the entire research operations lifecycle—from RFP response and bidding, through survey programming and data processing, to sample management and voice interviews—creating a deep moat.
- **Enterprise-Grade Security**: SOC 2 Type II certified, GDPR compliant, and offers custom security documentation for enterprise clients. Explicitly states no training on customer data.
- **Pattern Learning**: AI adapts to each agency's coding style and preferences in real-time, making it stickier and harder to replace.

## Strategic Focus
- **Product Expansion**: Continuing to build out AI agents across all research workflows (bidding, programming, data processing, sample management, voice).
- **Enterprise Sales**: Deepening integrations with Salesforce and major PM tools, and offering API/email-based workflows to fit existing processes.
- **Scaling the Team**: Actively hiring across product engineering, customer success, and product management to support growth.
- **Market Penetration**: Targeting traditional market research agencies that are constrained by manual processes, enabling them to take on more clients and projects.

## Why Work Here
- **Culture**: Mission-driven team focused on making research accessible to every business. Described as a place where "every business decision should be informed."
- **Work Policy**: Hybrid and in-office roles available depending on location and function. Offices in New York (HQ), Bengaluru, and San Francisco.
- **Team & Growth**: 58 employees and growing. Early-stage startup environment with the opportunity to shape the product and culture.
- **Engineering Culture**: Emphasis on building AI agents that "get your business." Roles like Senior Product Engineer and Senior Product Manager are currently open.
- **Perks**: Not explicitly detailed, but the company highlights 24/7 support for clients and a "build the future with us" ethos.

## Sources
1. [metaforms.ai](https://www.metaforms.ai/)
2. [metaforms.ai/about](https://www.metaforms.ai/about)
3. [linkedin.com/company/metaformsai](https://www.linkedin.com/company/metaformsai)
4. [builtin.com/company/metaforms](https://builtin.com/company/metaforms)
5. [jobs.ashbyhq.com/metaforms](https://jobs.ashbyhq.com/metaforms)

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