Product & Climate-Tech (ESG SaaS) · Pune, India

I build the product, run the customer, and open the market.

Generalist and product person at heart — climate-tech (ESG SaaS) is where that became everything.

Across the Indian ESG SaaS ecosystem I've held leadership seats building IFRS-grade reporting products, running high-stakes customer success, and driving GTM from the founder's office — now with an AI-native workflow underneath all of it.

See the work Download résumé
$100–150K+

new business influenced across pre-sales, partnerships and expansion

50+

enterprise sustainability touch points — ~30% of my companies' customer base

6 roles · 5 orgs

from McKinsey and Draup to Chief of Staff and the Founder's Office

Skills · Agents · Hooks · Tasks

one AI-native operating system behind every workstream

About

I'm a generalist who found a specialism. I started in consulting and data — McKinsey and then talent-intelligence analytics — and learned to turn messy enterprise data into decisions people actually act on.

Then climate tech found me. Sustainability SaaS became the thing I gave everything to: net-zero strategy at StepChange, Chief of Staff at Oren, and now ESG Solutions & Strategy — and, most recently, the Founder's Office — at Credibl ESG. Across those seats I've done the three jobs a young climate-tech company needs most: build the product, keep the biggest customers successful, and win the next set of deals.

The through-line is IFRS-grade reporting. I design product workflows tailored to IFRS S1/S2, ASRS and TCFD, and I automate the unglamorous engine underneath — GHG accounting, climate-risk assessment, disclosure drafting — so analysts spend their time on judgment, not plumbing.

Today every one of those workstreams runs on an AI-native setup: a mesh of Skills, Agents, Hooks and Tasks, mapped in an Obsidian knowledge vault so the knowledge compounds instead of resetting each week.

Selected work

Three problems I keep getting hired to solve — build the product, run the customer, open the market.

Client identities are masked; the work and the value are not. Each engagement is framed by the value it carried and how fast it was delivered.

01 — Product Development

Building the ESG product — reporting, accounting, disclosures, suppliers

I've built ESG software across three climate-tech companies — StepChange, Oren and Credibl. The product is really a suite of capabilities: IFRS S1/S2 reporting, GHG accounting, ESG disclosure writing (CRA and GRI), and supplier engagement. For each, I owned the workflow design and automated the engine underneath.

IFRS S1/S2 reporting, productised

Problem
Enterprises could collect ESG data but stalled turning it into audit-ready IFRS S1/S2 and ASRS disclosures — climate risks, opportunities and value-chain mapping lived in scattered spreadsheets.
What I did
Led product sprints across climate-risk assessment, value-chain mapping and risk/opportunity reporting; partnered with engineering and data science on the end-to-end reporting workflow and its dashboards.
AI-first approach
Reporting logic encoded as reusable agent workflows, so new disclosures are configured, not rebuilt.
~$40–60K in retained and expanded ARR across flagship accounts
Value
module set shipped across two quarters
Time to value
IFRS S1/S2 ASRS Reporting SQL Power BI

GHG accounting engine

Problem
Scope 1/2/3 inventories across dozens of facilities were manual, slow and error-prone — every cycle restarted from raw bills and factor lookups.
What I did
Built automated emission-factor mapping and calculation workflows (Exiobase/HSN, DEFRA, GLEC, EEIO) with validation and audit trails baked in.
AI-first approach
Agentic pipelines plus hooks that catch bad factors before they reach a client sheet.
protected six-figure renewals by hitting audit windows others missed
Value
inventory turnaround cut from ~2 weeks to a few days
Time to value
GHG Protocol Scope 1/2/3 Python Automation

ESG disclosures — CRA & GRI report writing

Problem
Climate-risk assessments (TCFD / IFRS S2) and GRI / BRSR narratives took analysts weeks per client and read inconsistently.
What I did
Built report-writing workflows that draft client-ready CRA reports (scenario analysis, internal carbon pricing, MACC) and GRI / BRSR disclosures from a structured model.
AI-first approach
Climate-risk and disclosure-writer agents turn a validated model into a first draft in minutes.
supported ~$25–35K advisory engagements with far less analyst time
Value
report cycles compressed from weeks to days
Time to value
CRA / TCFD IFRS S2 GRI / BRSR ICP / MACC

Supplier engagement programs, tested & launched

Problem
Value-chain and Scope 3 programs only work if suppliers actually respond — scoring, assessments and outreach had to scale well beyond a handful of vendors.
What I did
Designed, tested and launched supplier assessment and scoring programs and value-chain (VCP) engagement — from supplier-scoring models first built at Oren through to large-scale rollouts later.
AI-first approach
Supplier-scoring and prefill agents standardise a previously bespoke, manual process.
supplier programs spanning entire value chains, live in production
Value
iterated from pilot to launch within a program cycle
Time to value
Supplier engagement Scope 3 Scoring VCP

02 — Customer Success & Consulting

Running the customer — the stickiest sustainability problems, end to end

From net-zero strategy consulting at StepChange to high-value delivery at Credibl — and grounded in data-analytics consulting at Draup and McKinsey — I've owned the hardest data and disclosure problems on tight, audit-driven timelines. Clients are described by archetype; specifics stay confidential.

Global payroll & HR-services leader — multi-country GHG ledger

Problem
A multi-country enterprise needed a defensible GHG data ledger — waste, fugitive emissions, employee commute and purchased goods — consistent across geographies and ready for assurance.
What I did
Built the data-ledger SOP and country copy-config templates, ran the annual waste / fugitive / commute packs, and drove platform ingestion end to end.
AI-first approach
Country configs generated from a single source via scripts and agents, not hand-copied.
expanded a multi-country engagement worth ~$30–40K
Value
delivered against a hard external assurance deadline
Time to value
Multi-country Scope 1/2/3 Assurance-ready

Tier-1 supply-chain & logistics enterprise — transport emissions

Problem
Upstream and downstream transportation emissions were tangled across modes and double-counted, blocking a BRSR-ready inventory.
What I did
Modelled transport emissions on GLEC / DEFRA factors, ran de-duplication analysis, and linked the result to BRSR consumption disclosures.
AI-first approach
Repeatable transport-emissions pipeline reused across reporting years.
delivered a filing-ready transport inventory ahead of the reporting deadline
Value
ahead of the statutory filing window
Time to value
GLEC DEFRA BRSR Logistics

Listed medical-devices manufacturer — full Scope 3 upstream

Problem
No visibility into upstream Scope 3 — purchased goods & services and capital goods spanned thousands of SKUs and suppliers.
What I did
Mapped Cat 1 (PG&S) and Cat 2 (capital goods) via HSN / Exiobase, and stood up supplier engagement and guidance packs.
AI-first approach
Factor-selection assistant that resolves spend lines to the right EF at scale.
gave leadership its first complete upstream carbon picture for disclosure
Value
single reporting cycle
Time to value
Scope 3 Cat 1/2 HSN / Exiobase Supplier engagement

Diversified industrial major — inventory & supplier assessment at scale

Problem
A large industrial group needed a consolidated GHG inventory, KPI trackers and a supplier assessment programme across a sprawling value chain.
What I did
Consolidated the GHG calculations, built KPI trackers aligned to sector benchmarks, and ran a large-scale supplier assessment and scoring exercise.
AI-first approach
Emissions and supplier-scoring agents standardised a previously bespoke process.
board-ready KPIs and a supplier programme covering the value chain
Value
delivered across the annual reporting cycle
Time to value
GHG inventory Supplier scoring KPIs

Net-zero strategy & disclosure advisory

Problem
Clients needed credible net-zero strategies, materiality assessments and regulator-ready disclosures across multiple frameworks — not just a data dump.
What I did
Ran materiality analysis and life-cycle assessments, built ESG dashboards and GRI / BRSR packs aligned to GRI, SASB, CDP and the UN SDGs, and prepared advisory on EU CSRD and US SEC requirements.
AI-first approach
Reporting-taxonomy generators turn frameworks into ready-to-fill workbooks.
advisory and reporting scope across several listed and enterprise accounts
Value
aligned to each client's disclosure calendar
Time to value
Net-zero Materiality / LCA CSRD / SEC GRI / SASB / CDP

Enterprise data & analytics foundations

Problem
Before climate, enterprise clients needed messy data turned into decisions — workforce analytics and energy-sector research at consulting scale.
What I did
Delivered workforce-analytics solutions with custom SQL/Python and Power BI dashboards, and ran primary/secondary research and Tableau dashboards for energy-sector consulting teams.
AI-first approach
The analytics rigour that now underpins my AI-native workflow.
up to 30% client cost savings and 40% faster time-to-value
Value
per engagement, at consulting cadence
Time to value
SQL / Python Power BI / Tableau Draup McKinsey

03 — Founder's Office

GTM, pre-sales and partnerships — from the founder's seat

Promoted into the Founder's Office, I ran the commercial engine: GTM motion, pre-sales and solutioning, and sales & partnerships enablement across partners and customers globally.

Pre-sales & solutioning engine

Problem
Complex enterprise ESG deals were stalling in evaluation — RFPs, security questionnaires and bespoke demos ate weeks per opportunity.
What I did
Built an RFP-response engine, demo narratives, commercial models and governance decks, and owned solutioning across the funnel.
AI-first approach
An RFP-response generator drafts matrices and answers from a curated knowledge base.
influenced ~$100–150K of pipeline and closed business
Value
RFP turnaround cut from weeks to days
Time to value
Pre-sales RFP Commercials GTM

Partnerships & GTM enablement, globally

Problem
Partners and channel teams across geographies lacked a consistent story, enablement kit and joint motion.
What I did
Built enablement collateral and joint GTM plays, and drove partner and customer enablement across global markets.
AI-first approach
Deck and collateral generation on a shared, on-brand engine.
a repeatable partner motion supporting the top of the funnel
Value
stood up across successive quarters
Time to value
Partnerships Enablement Global

Sales enablement & market intelligence

Problem
Sales and CS needed fast answers, competitive framing and benchmarking — not slow, one-off research.
What I did
Built a custom analytics and FAQ engine, ran competitor analysis, and produced benchmarking that shaped both GTM and the product roadmap.
AI-first approach
A knowledge assistant that keeps sales answers current and consistent.
faster deal cycles and roadmap decisions grounded in the market
Value
always-on rather than per-request
Time to value
Competitive intel Benchmarking Analytics

Chief of Staff — strategy & fundraising groundwork

Problem
An early-stage ESG analytics company needed product strategy, a credible roadmap and investor-ready groundwork.
What I did
Worked directly with founders on product strategy and roadmap, built ESG supplier-scoring models from market research, and laid groundwork for fundraising.
AI-first approach
Research and modelling accelerated by early agentic tooling.
founder-level leverage on strategy and the raise
Value
across a formative company stage
Time to value
Chief of Staff Strategy Fundraising

The engine

An AI-native operating system

Every workstream above runs on the same setup. I've wired my day-to-day into a mesh of Skills, Agents, Hooks and Tasks, with an Obsidian vault as the memory layer — so knowledge compounds instead of being re-explained each week.

01

Skills

Reusable playbooks — GHG accounting, CRA writing, RFP response, materiality — each a self-contained how-to the agent loads on demand.

02

Agents

Specialists per workstream (climate-risk writer, emissions QA, proposal builder) that execute a skill end to end.

03

Hooks

Guardrails that fire automatically — classify the task, keep the token budget tight, and block confidential data from leaking.

04

Tasks

One routed job per client workstream, so the right skill, agent and scripts load — and nothing else.

Obsidian as the memory layer. An Obsidian knowledge vault maps it all together: raw sources stay immutable, an LLM-maintained wiki summarises and links entities and concepts, and a schema keeps routing consistent. Answers get filed back, so the system gets sharper every week.

Toolkit

Data & Analytics

SQL Python Power BI Tableau Metabase FastAPI Data analysis Google Analytics

Product & Design

Roadmapping Discovery UX wireframing Figma Replit Cursor JIRA

ESG & Climate frameworks

IFRS S1/S2 (ISSB) ASRS TCFD GHG Protocol GRI SASB CDP ESRS / CSRD BRSR GARP SCR FSA

GTM & Operations

Pre-sales RFP & commercials Partnerships HubSpot Salesforce Competitive analysis

AI-native workflow

Cursor Skills / Agents / Hooks Agentic pipelines Obsidian knowledge ops Prompt engineering

The path

How the scope grew — data and consulting into product, customer and the founder's office.

  1. 2021 McKinsey & Company
    Capabilities & Insights Analyst

    Energy-sector research and Tableau dashboards; distilled complex findings into decisions for senior consultants.

  2. 2022 Draup
    Associate Consultant

    Workforce-analytics solutions — up to 30% client cost savings and 40% faster time-to-value via SQL, Python and Power BI.

  3. 2023 StepChange
    Solutions & Strategy Associate

    Net-zero strategy, materiality and LCA; ESG dashboards aligned to GRI, SASB, CDP and the UN SDGs.

  4. 2024 Oren
    Chief of Staff

    Product strategy and roadmap with founders; ESG supplier-scoring models; groundwork for fundraising.

  5. 2025 Credibl ESG
    ESG Solutions & Strategy Manager

    Led product sprints for IFRS S1/S2 modules while running Customer Success, Professional Services and pre-sales for top accounts.

  6. 2025 → Credibl ESG Promotion
    Founder's Office Associate

    Internal promotion into the Founder's Office — owning GTM, pre-sales and sales & partnerships enablement across global partners and customers.

Certifications

  • Sustainability & Climate Risk (SCR)
    GARP — Global Association of Risk Professionals · 2024
  • FSA Credential, Level 1
    Fundamentals of Sustainability Accounting
  • Certified ScrumMaster (CSM)
    Scrum Alliance · 2022
  • Lean Six Sigma Black Belt
    · 2022

Education

B.Tech, Mechanical Engineering
Amrita School of Engineering, Coimbatore
GPA 8.00 / 10 · 2021

Résumé

One story, told for the reader in the room.

Same facts, tailored emphasis. Pick your seat — investor, founder, or product leader — read the framing, and download the matching résumé.

VC / Investor

Operator across product, customer and GTM in climate-tech SaaS

A generalist operator who has influenced $100–150K+ of new business and touched 50+ enterprise sustainability accounts — building IFRS-grade products, running the biggest customers, and driving GTM from the founder's office. The profile of someone you back or place in a portfolio company.

  • Commercial edge: $100–150K+ influenced across pre-sales, partnerships and expansion.
  • 0→1 instinct: Chief of Staff and Founder's Office seats, including fundraising groundwork.
  • Market fluency: competitive intelligence and benchmarking that shaped both roadmap and GTM.
  • Leverage: an AI-native workflow that lets one operator do the work of several.

If you're backing or building in climate / ESG SaaS, I'm worth a conversation.

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Annexure — organisations supported

Across my companies I've had 50+ enterprise sustainability touch points — roughly 30% of the entire customer base. A representative selection of organisations I've supported is listed below; all engagement detail remains confidential.

SD Worx TVS Supply Chain Solutions Polymedicure NESCO Jindal Steel & Power Orbia HDFC AMC Kyndryl Albatha Aarti Enercon EDCO Modern Pharmaceutical Saudi Tadawul AA REIT Symbion Yes Bank Bank of India Devyani International Daanish / TCS

Let's talk

Whether you're a VC sizing up an operator, a founder hiring a chief of staff, or a product leader building in climate — I'd love to compare notes.

syedroshan0901@gmail.com +91-9080427564 LinkedIn ↗ GitHub ↗
© 2026 Syed Shoaib Roshan H. Built with Astro.
Pune, India · Product · Climate-tech · AI-native