Anish Gupta - Product Manager

Q: Where is Anish based?

Anish is based in Berlin, Germany .

Q: What languages does Anish speak?

Anish speaks the following languages: English (Native), Hindi (Native), German (Intermediate) .

Q: How many years of experience does Anish have?

Anish has at least 4 years of experience. During this time, Anish has worked in at least 5 different roles and for 4 different companies . The average length of individual experience is 1 year and 10 months . Note that Anish may not have shared all experience and actually has more experience.

Q: What is Anish's latest experience?

Anish's most recent position is GTM Intelligence Engine · Open Source .

Q: What companies has Anish worked for in recent years?

In recent years, Anish has worked for DAG Unternehmensgruppe , Mobile Seasons GmbH — DroidCon , Bajaj Capital Ltd , and Pranav TechOne Pvt. Ltd. .

Q: Which industries is Anish most experienced in?

Anish is most experienced in industries like Information Technology , Construction , and Telecommunication . Anish also has some experience in Banking and Finance .

Q: Which business areas is Anish most experienced in?

Anish is most experienced in business areas like Marketing , Product Development , and Information Technology . Anish also has some experience in Sales , Business Intelligence , and Operations .

Q: What is Anish's education?

Anish holds a Master from University for the Creative Arts and a Bachelor in Marketing & E-Commerce from MAIMS, IP University .

Q: Does Anish have any certificates?

Anish has 2 certificates . These include: IBM AI Product Manager Professional and Microsoft AI Product Manager Professional .

Recommended expert

Berlin, Germany

Check rate

Experience

Jan 2026 - Dec 2026

1 year

GTM Intelligence Engine · Open Source

PROBLEM: GTM effort is guesswork across fragmented identities and channels, with no closed feedback loop.
BUILT: Cost-pyramid engine (L0–L3): identity resolution across ~25k entities, explainable intent scoring, and a closed decision loop (propose → execute → evaluate → learn) with calibration.
IMPACT: Shipped v1.3.1 with a live demo; 99% of operations resolve at the free L0 tier (CI-enforced); $0 to run without any API key.

Apr 2025 - Present

1 year 5 months

Schönefeld, Germany

Product Manager — Platform & Growth

DAG Unternehmensgruppe

6 B2B buyer types funnelled through one undifferentiated surface — 3–5 unqualified leads/week → built a persona-segmented 6-surface ecosystem with webhook routing (Webflow → Zapier → HubSpot) and 12–15 A/B experiments → SQLs 3–5 → 15–20/week, CVR +40%
Hypothesised messaging was the conversion gap, but the A/B test returned null → GA4 + Hotjar isolated mid-form friction as the real cause, so I reworked the CTA and step order and made the organic-first call → +68.7% page views, top-3 German rankings; inbound CAC = €0
5 entities ran all comms via personal WhatsApp/email — no audit trail, no access controls → designed a 4-layer M365 platform (SharePoint IA, Teams, MFA, 3-tier permissions) with an external IT agency, phased with a rollback playbook → 100% adoption across 50–70 employees in 90 days
Knowledge sat unsearchable across SharePoint, Teams, Outlook and Procore → embedded Claude into every process with an LLM-evaluation + prompt-ops loop — standardised templates and pre-scale review checkpoints → adoption met with zero rework; first team in the group to operationalise AI

Jan 2024 - Dec 2024

1 year

Berlin, Germany

Product Manager — Conversion

Mobile Seasons GmbH — DroidCon

High-intent drop-off across 10+ ticketing platforms → GA4 + Hotjar isolated mid-form UX friction (not pricing) as the root cause, so I defined the checkout step order, CTA copy and trust-signal requirements for the developer → +20% activation, 350 additional sales, +25% CSAT
A stagnant organic channel across 10+ event platforms → ran a technical SEO audit and WordPress rebuild, prioritising the redirect taxonomy as the highest-risk dependency, with a GA4 + Tableau ops layer → +64% rankings, +17,000 organic visitors, –30% operational cost

Mar 2023 - Sep 2023

7 months

Gurugram, India

Product Manager — 0→1 GTM

Bajaj Capital Ltd

A Tiger credit-card launch from zero infrastructure under a hard Day-1 deadline → prioritised Google Search + Meta over PR for speed-to-conversion and shipped 2 conversion sites, 10 landing pages and 200+ assets in 6 weeks → full funnel live Day 1; brand search +60% in 60 days
A manual content bottleneck at fixed headcount → selected AI tooling over a contractor (same cost, compounding return), ran a 2-week pilot and standardised prompt templates → –60% cost-per-asset, 3× output, +400% social reach

Nov 2021 - Mar 2023

1 year 5 months

Noida, India

Product Manager — Platform 0→1

Pranav TechOne Pvt. Ltd.

ISO-certified but invisible to global buyers, all revenue outbound → built a 0→1 B2B commerce platform — search-intent IA around 10,000+ SKUs for telecom and enterprise-IT buyers, with a quote flow and weekly SEO ops → +20% organic traffic, first inbound channel, 94% DE market share
No CRM, churn untracked, all follow-up manual → selected HubSpot and designed behaviour-triggered lifecycle sequences segmented by vertical and purchase stage → +38% retention, +40% customer LTV, no added headcount

DAG B2B Digital Ecosystem — CRO & Lead Generation PRD

PROBLEM: 6 B2B verticals generating 3–5 unqualified leads/week from one undifferentiated surface — no routing, no pipeline visibility.
BUILT: 6-surface persona-based ecosystem; webhook API routing into HubSpot; 12–15 A/B experiments; JTBD-driven IA per buyer persona.
IMPACT: 15–20 SQLs/week · CVR +40% · +68.7% visibility · Top 3 German organic rankings · Zero CAC.

Jederzeit Cafe — Mobile-First B2C Acquisition Engine PRD

PROBLEM: High-intent mobile users failing to convert — 15–30 min decision window; competitor audit revealed PDF menus, buried locations, no sticky CTAs.
BUILT: Framer (React) acquisition engine for sub-47s time-to-value: sticky navigation, inline menu, event-driven GA4, CMS for owner autonomy.
IMPACT: 14,000 monthly views · 4,400 organic sessions/month · 18.2% MoM growth.

GTM & B2B Commerce Platform PRD

Pranav TechOne

PROBLEM: ISO-certified manufacturer invisible to global buyers — no digital surface to differentiate from cheaper Chinese commodity competitors.
BUILT: 0→1 B2B commerce platform: 10,000+ SKUs, quote flow, HubSpot CRM lifecycle — 4 global markets, sole contributor, 16-month build.
IMPACT: +38% retention · +40% customer LTV · +20% organic traffic · Company's first inbound channel.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology, Construction, Telecommunication, and Banking and Finance.

Information Technology

Construction

Telecommunication

Banking and Finance

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Marketing, Product Development, Information Technology, Sales, Business Intelligence, and Operations.

Marketing

Product Development

Information Technology

Sales

Business Intelligence

Operations

Summary

Product manager with 5 years across B2B SaaS, FinTech and consumer, focused on B2B SAAS — I turn user friction and system gaps into shipped product: discovery, PRDs and metrics-driven delivery with engineering. At DAG I built a 6-surface CRO ecosystem (JTBD + 12–15 A/B tests) → CVR +40%, SQLs 3–5 → 15–20/week and embedded Claude via MCP with PRD v4 → 100% adoption in 90 days. AI-native and metrics-led.

SQLs 3–5 → 15–20 / week 50–70 users adopted in 90 days 4 products shipped 0→1

Skills

Product Strategy
Prd Writing
Roadmapping
Discovery & User Research
Jtbd
A/B Testing
Okrs/Kpis
Agile/Scrum
Backlog Management
Stakeholder Management
Funnel & Conversion Analysis
System & Api Integration
Ai Integration
Jira
Confluence
Asana
Miro
Ga4
Amplitude
Ai: Claude/Mcp
Chatgpt
Copilot

Languages

English

Native

Hindi

Native

German

Intermediate

Education

Oct 2023 - Jun 2025

University for the Creative Arts

MSc Digital Marketing · Berlin, Germany

Oct 2019 - Jun 2022

MAIMS, IP University

BCom Hons · Marketing & E-Commerce · New Delhi, India

Certifications & licenses

IBM AI Product Manager Professional

IBM × Coursera

Microsoft AI Product Manager Professional

Microsoft × Coursera

Statistics

Experience

Total positions 8

Experience in Information Technology 2 y

Avg length 7 m

Longest experience 1 y 4 m

Global Experience

Countries worked in 2 (Germany, India)

Primary country Germany

Expertise

Recent roles GTM Intelligence Engine · Open Source, Product Manager — Platform & Growth, Product Manager — Conversion

Main industries Information Technology, Construction, Telecommunication

Main business areas Marketing, Product Development, Information Technology

Qualifications

Highest degree Master

Certifications earned 2

Profile

Created

August 2026

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Frequently asked questions

Have questions? Find more information here.

Anish is based in Berlin, Germany.

Anish speaks the following languages: English (Native), Hindi (Native), German (Intermediate).

Anish has at least 4 years of experience. During this time, Anish has worked in at least 5 different roles and for 4 different companies. The average length of individual experience is 1 year and 10 months. Note that Anish may not have shared all experience and actually has more experience.

Based on recent experience, Anish would be well-suited for roles such as: GTM Intelligence Engine · Open Source, Product Manager — Platform & Growth, Product Manager — Conversion.

Anish's most recent position is GTM Intelligence Engine · Open Source.

In recent years, Anish has worked for DAG Unternehmensgruppe, Mobile Seasons GmbH — DroidCon, Bajaj Capital Ltd, and Pranav TechOne Pvt. Ltd..

Anish is most experienced in industries like Information Technology, Construction, and Telecommunication. Anish also has some experience in Banking and Finance.

Anish is most experienced in business areas like Marketing, Product Development, and Information Technology. Anish also has some experience in Sales, Business Intelligence, and Operations.

Anish holds a Master from University for the Creative Arts and a Bachelor in Marketing & E-Commerce from MAIMS, IP University.

Anish has 2 certificates. These include: IBM AI Product Manager Professional and Microsoft AI Product Manager Professional.

Anish will be available full-time from September 2026.

Anish's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

To hire Anish, click the Meet button on the profile to request a meeting and discuss your project needs.

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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

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Daily rate avg. 931 €

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Median rate 1000 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.