Experimentation as operating rhythm, not a side project.
Structured hypotheses, fast ship, compounding learnings across cycles. A/B testing should be a continuous engine, not occasional projects.
Maneesh Behera — Growth Product Manager · Operations Systems · AI-native Builder — maneeshbehera@gmail.com
I work at the intersection of product, growth, revenue, and operations. Six-plus years across fintech, gaming, edtech, and consulting shaped how I think: pair quantitative funnel signal with qualitative customer depth, hypothesise what to fix, ship structured tests against it, kill what does not work.
My career started in digital marketing — running campaigns, training teams, owning conversion — before moving into product, growth ops, and AI-enabled execution. The throughline is the same: make it work, make it reliable, hand it off.
The work is not about shipping more output. It is about making the business system move: more conversion, better recovery, faster onboarding, lower operational drag, cleaner handoff.
Growth Product Manager · Operations Systems · AI-native Builder. Paris, France. Open to relocation.
CS degree from NIT Delhi, top 2% nationally. MSc in Innovation, Strategy & Entrepreneurship from Grenoble Ecole de Management. Hult Prize 2024 Global Semi-finalist, top 0.3% of 100,000+ participants.
The full version, built for a personal site instead of a cramped one-page resume.
Make it work. Make it reliable. Hand it off.
The throughline across marketing, product, operations, and AI-enabled execution.I'm a Growth Product Manager who works at the intersection of product, growth, revenue, and operations. Six-plus years across fintech, gaming, edtech, and consulting have shaped how I think: pair quantitative funnel signal with qualitative customer depth, hypothesise what to fix, ship structured tests against it, kill what doesn't work. Software-meets-real-world is where I'm most useful.
My career started in digital marketing — running campaigns, training teams, owning conversion — before moving into product, growth ops, and AI-enabled execution. The throughline is the same: make it work, make it reliable, hand it off.
CS degree from NIT Delhi, top 2% nationally. MSc in Innovation, Strategy & Entrepreneurship from Grenoble Ecole de Management. Hult Prize 2024 Global Semi-finalist, top 0.3% of 100,000+ participants, as team lead owning business strategy and product direction.
I measure myself in conversion lift and revenue, not tickets closed.
Four operating loops I keep returning to.
Structured hypotheses, fast ship, compounding learnings across cycles. A/B testing should be a continuous engine, not occasional projects.
Funnel diagnostics alone miss the why. Customer conversations alone miss the scale. The interesting insights live where they overlap.
If a process can be automated, it should be. Headcount fixes the wrong problem at scale. I'd rather ship a workflow than hire a coordinator.
Systems I build should run without me. Building dependency on myself is bad operator hygiene.
A cross-section of product, growth, revenue, operations, and AI-native execution.
Managed a 12-person cross-functional team at NIIT spanning product, engineering, marketing, sales, and delivery; ran WBR/MBR cadence with OKR, KPI, and unit-economic trade-offs presented to leadership.
Owned a EUR600k+/month acquisition ecosystem at NIIT at EUR 350 CAC on EUR 1,000 ticket; lifted organic conversion to ~5% and paid to ~1.8-2% through full-funnel lifecycle work from freemium signup to paid-in-class student.
Embedded with 6+ client organisations at Simply Digital including 2 unicorns — MamaEarth and Pristyn Care, both pre-unicorn at the time of engagement — CanaraHSBC Insurance, and Hindustan Times. Ran weekly client calls with founder and CMO-level stakeholders; scaled key accounts to EUR120k+/month managed revenue.
Built and shipped Ava: a 0-to-1 AI voice agent for merchant lifecycle outreach using ElevenLabs, Twilio, and custom orchestration. The first two prototypes failed — one too slow on response, one too expensive per call. Took the latency-cost trade-off seriously on the third build. Live in production today, targeting 3-7% recovery uplift.
Delivered 60%+ touchless onboarding automation in 90 days at finmid; reduced processing time from 70+ hours to under 10 and lifted operational cSAT from 65% to 90% by getting funds to merchants next-day.
Led a 10-day customer-facing AI engagement programme at Schneider Electric reaching 500+ in-person and 20,000+ online participants; audited 5 EU-wide operational processes impacting >450 employees and codified standardised playbooks adopted across European business units.
Grouped by the work I can own end-to-end.
Demand generation across paid, organic, SEO, email, and partner channels · Lifecycle marketing and segment-aware journeys · Webinars and event programmes, including 50+ run at NIIT · Customer journey design and personalisation · Attribution modelling and revenue analytics · UGC-led campaigns
Roadmap ownership and trade-off prioritisation · A/B testing and experimentation systems · Customer research, including user interviews, partner feedback, and business reviews · Cross-functional squad leadership · Product vision and stage-aware execution
Workflow automation with n8n · Process design and playbook codification · Operating cadence, including WBR/MBR rhythm · Multi-stakeholder coordination · Change management and adoption · System-of-record reasoning
Agentic workflow design · LLM integration with Claude, GPT-4o, and Gemini APIs · RAG pipelines · Voice AI systems with ElevenLabs and Twilio · Prompt engineering · Python · JavaScript · SQL · REST APIs
n8n · Twilio · ElevenLabs · Langfuse · Metabase · Looker · GA4 · Qdrant · GitHub · Stripe-class payment ops · HubSpot-class CRM thinking
Detailed role-by-role view, kept expansive for the website.
finmid is a B2B SaaS fintech serving platforms and SMBs across the EU. My remit: translate multi-partner operational complexity into product across onboarding, collections, KYC, treasury, and compliance. The work runs at the intersection of merchants, banks, ops, compliance, and engineering.
Built Ubisoft's first AI-augmented influencer intelligence platform from zero. Owned research, vendor integration, lifecycle workflows, and cross-team adoption end-to-end.
Joined Schneider's intrapreneurial Performance & Transformation team, 2-3 years old at the time, within a Fortune 500 environment. Audited and redesigned operational processes; codified standardised playbooks; led delivery of a customer-facing AI engagement programme across European business units.
Joined as the 3rd hire in NIIT Digital, the spinoff brand of NIIT Limited. Owned product, growth, and revenue strategy across a 3-product B2B2C portfolio; managed a 12-person cross-functional team; scaled near zero to EUR390k+ quarterly revenue.
Growth and marketing ops consultant in a startup agency environment. Embedded with 6+ client organisations across e-commerce, fintech, healthcare, FMCG, and media. Designed acquisition systems, marketing automation, conversion frameworks, and customer-outcome narratives.
Projects that show how I think when nobody gives me a clean brief.
A 3-agent autonomous research system designed to coordinate discovery, classification, and synthesis across multiple model workflows. Runs 2x daily without manual intervention.
Most retrieval systems converge on the obvious. M.A.V.'s 4-tier keyword architecture deliberately reaches for lateral insights.
The fourth tier pulls in signal that traditional retrieval misses by design.
Less librarian's library, more mechanic's garage. The system is structured to fix the engine, not catalogue it. Evaluation loops and observability are built into the pipeline; the system is optimised for decision quality, not output volume.
A startup project aiming to launch blockchain technology into all of supply chain for complete and transparent product value chain information. From raw material origin through manufacturing, distribution, and retail to end consumer — every product carrying an immutable, queryable history of its journey.
Currently on pause. The product thesis and architecture exist; funding to continue does not yet.
Technical foundation, strategy training, and entrepreneurial proof.
Grenoble Ecole de Management, France.
National Institute of Technology Delhi, India. Admission: top 2% nationally.
Top 0.3% of 100,000+ participants. Team Lead; owned business strategy and product direction.
For growth product, operations systems, AI-native execution, fintech, lifecycle, experimentation, or scale-up roles.
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