2010Executive Contributor, age 15
The Daily Star
Started writing cover features for a national daily at fifteen. Deadlines taught more than school.
Ahmed Saquif Alam
Principal Product Owner · Optimizely
Hands-on senior PM who writes his own prototypes, queries his own production data, and ships his own A/B tests alongside engineering.
Dhaka · Open to relocation0 → 1 and pre-PMF is my right fit
6+ yrs
at Optimizely
$400M
ARR Platform
9,000+
Customers
4
Industries
8+ yrs
in B2B SaaS
Hands-on stackNext.jsPythonSQLJavaScriptFlutter / DartClaude CodeWebhooksFullStoryMixpanelAmplitudePower BIPeriscopeDatadogJiraFigmaNotionCodaMiro
CSMCSPOPMP
Product Engineering Output
2,936 contributions in the last year. And counting.
Most of the surge in late 2025 onwards is agent-assisted code I wrote, reviewed, and shipped using Claude Code and the rest of the hands-on stack listed above.
LessMore
2,936
Last 12 months
113
Last 30 days
28 days
Longest streak
0 days
Current streak
01Now
Optimizely·6+ years·5 promotions·$400M+ ARR DXP, top-3 globally
Leading the platform team and the integrations team across the content stack.
NowMar 2025 — Present
Principal Product Owner
Platform team and integrations team
Leading the platform team and the integrations team that owns how the content stack talks to every other system in the customer's stack.
- Cross-product integration roadmap end-to-end. Native integrations across Microsoft, Adobe, SEMrush, Slack, email clients, Facebook, Instagram, YouTube.
- Open integration surface (webhooks + public APIs) so customers and partners build their own connectors.
- Headless API direction and platform infrastructure ownership across two teams.
Earlier at Optimizely
Senior Product Owner
In-house agentic AI platformMar 2023 — Jul 2025Shaped the agentic AI platform powering Marketing and Experimentation Ops. Workflow agents, canvas orchestration, RAG pipelines, and an internal Tools SDK, with thousands of agents in production.
Product Owner
Public API & Platform2022 — 2023Associate Product Owner
Tech debt & maintenance2022Project Manager
NewsCred, pre-acquisition2020 — 2022Skills
- Product Management
- B2B SaaS
- MarTech
- Agentic AI
- RAG
- Headless / API
- Evals
- AI Cost Engineering
02Domain Experience
AI / VLM Experience . Nurby AI
Built a privacy-first vision-language stack.
Founded Nurby to push VLMs onto the device and out of the cloud. Plain-language rules over existing camera infrastructure, with footage that never leaves the network.
Foundernurby.ai →
On-device VLM inference
nurby://feed/front_door
LIVE · 47msperson · 0.97
package · 0.91
model: nurby-vlm-7b · runtime: M-series GPUon-device
Plain-language rule engine
nurby://rules/new
describe a rule
Alert me when packages arrive at the front door after 6pm.
parsed✓ 3ms
on object_detected("package") wherezone => front_door andtime.hour >= 18 → trigger(notify, channel.mobile)
Privacy-first architecture
nurby://data-flow
on device
- ✓ camera frames
- ✓ VLM inference
- ✓ rule evaluation
- ✓ event log
cloud
- × camera frames
- × ML uploads
- × training data
- 0 bytes / month
nothing leaves your network. ever.
FinTech · SupplyLine
Co-founderBuilt a credit rating and lending platform from scratch.
Where I learned FinTech the hard way. I designed the credit decisioning, the BNPL-style lending, and the invoice-discounting workflows for an underbanked B2B retail market. The company operates today. I remain co-founder while my focus has moved to Optimizely.
What I built
Credit decisioning
Scored thin-file retailers with no formal credit history into lendable tiers.
BNPL-style lending
Short-term working capital advanced against verified purchase orders.
Invoice discounting
Early settlement for suppliers waiting on slow retailer payment cycles.
4,000+
Retailers
10 tons
Shipped daily
~$2M
Credit disbursed
Series A
Raising now
EdTech · Co-founder + Product Consultant
Shipped AI-driven learning across two products.
40,000+students
2,800+teachers
150+schools live
Co-founder
porashona.onlinePorashonaOnline
An AI exam-prep app for Bangladeshi board and BCS students. The model sets each question to the student's level and scores attempts the moment they submit.
Adaptive difficultyInstant auto-scoringGamified streaksBoard + BCS banks
porashona://mcq/product/metrics
Q 24 / 50difficulty · adaptive
level 7 / 10Which metric is the strongest leading indicator of churn in a B2B SaaS product?
ATime-to-second-value
BNet Promoter Score
CMonthly Active Users
DSupport ticket volume
Product Consultant
learningshaper.comLearning Shaper
A K-12 ERP with embedded AI, live across 150+ schools. It grades answer sheets in seconds and flags the students drifting toward a worse term than last.
Auto-gradingPerformance predictionRisk + attendance flagsTeacher review queue
learning-shaper://grade/sheet-0421
auto-graded · class 9 algebra
6 / 875%
Q1✓
conf 0.99
Q2✓
conf 0.97
Q3✗
conf 0.94
Q4✓
conf 0.92
Q5✓
conf 0.88
Q6✗
conf 0.86
Q7✓
conf 0.99
Q8✓
conf 0.95
flagged for teacher review. Q3, Q6
Earlier · Deligram · Business / Ops Analyst
Where I learned to let the data argue back.
Built BI on Metabase, Redash, and Tableau. Modeled unit economics (IRR, NPV, WACC). Designed Bangladesh's first retailer-assisted O2O e-commerce model and its digital trade-promotion module.
700%
network growth
300%
retail sales growth
15%
MoM GMV growth
03Origin
The Earlier Chapters
Before product management
Writing, editing, design and client work. The decade that built the instincts product management eventually got named credit for.
2007–2014Editor-in-Chief, 7 yrs
UNaB Magazine
Ran a literary magazine and forum for 60+ writers. Dissolved it rather than sell the readership.
2013–2019UX Designer to Lead Comms
GradConnect
Built the dashboard UX, then owned content and a six-person research team. First taste of cross-functional ownership.
2012–2020Consultant, 20+ orgs, 8 yrs
Freelance Design
Identity, UI and campaign work across twenty-plus organisations. Design became a problem-solving habit, not styling.
04Writing
Writing
Thoughts
AI5 MIN
The expressway always feels faster.
We started the last year with reading articles that METR had measured experienced developers going 19% slower with AI while they believed they were going 20% faster. The more interesting thing happened in February 2026, when METR admitted it could no longer run the study, because it could not find enough developers willing to spend a day working without an AI tool.
Read→
PRODUCT3 MIN
Your agent user cannot file a bug.
What happens when our product has acquired a user that reads your error strings, acts on your defaults, and never once complains. It does not answer surveys, it does not open tickets, and when it gets confused it just retries :/
Read→
PRODUCT7 MIN
Count both queues.
A tailor can't unit-test a punjabi, so he judges his Eid season by who walks back into the lane afterwards: the customers who come back carrying new cloth, and the ones who come back with the shoulders folded in a bag. AI products have put the rest of us in the same position. When you can't fully verify the thing before it ships, the praise-to-criticism ratio in your feedback stream becomes the closest thing you have to a report card, and it's a better one than NPS ever was.
Read→
AI7 MIN
You can't sell SaaS seats anymore.
For fifteen years software was sold by the seat, one named user for one monthly fee, back when every seat was a person and the software only made that person faster. Then the agent started doing the work itself, and a single agent that clears what seven hundred people used to clear is an agent that empties seven hundred desks you were billing for. Sell that by the seat and your revenue shrinks in step with how well the thing works.
Read→
PRODUCT7 MIN
Ship an MCP or become a database.
Greenhouse shipped an MCP server this year, and the part worth sitting with is not the feature list. It is that a recruiter can now run a full hiring report, pull candidate context, and clear a batch of rejections without ever loading greenhouse.com. The interface layer of SaaS is migrating into the agent, and the product you spent a decade making beautiful is becoming a backend somebody else narrates.
Read→
PRODUCT8 MIN
Desire paths are the product.
A planning officer in Lisbon paused mid-walking-tour last spring in front of a fresh limestone plaza and pointed at the dirt line cutting diagonally across the middle of it. The same failure mode happens in product, where the team confuses the polished surface it shipped with the path the user actually wore. The cleanest products of the last thirty years are the ones that figured out which one was the artefact and which one was the data.
Read→