About SadaPay‍

SadaPay is transforming financial services in Pakistan, making money management simple, transparent, and borderline enjoyable. With over 2 million users and a licensed EMI operating under SBP oversight, we're building for a country where the majority of the population has historically been excluded from formal finance. All you need is a CNIC, a phone number, and a smartphone. No paperwork, no hidden fees, no nonsense.

Why is this role important?

We need someone who sits at the intersection of sharp product thinking and serious data fluency, not as two separate hats, but as one integrated way of working. This is not a PM role where someone else does the analysis. You own the metric, the insight, and the decision. You'll work directly with squads across personal accounts, SME, and payments surfaces to ship things that actually move the needle for real users.

We're open to a range of experience levels. If you're early in your career but have the right technical foundation and the right instincts, we want to hear from you. Compensation and scope will be calibrated to where you are.

As a Sadanaut you will:

• Define and Own the Product
  
  • Shape the roadmap: translate ambiguous problems into clear bets, with outcomes over outputs
  • Write sharp PRDs: user stories, edge cases, acceptance criteria, documentation that engineers actually want to read
  • Run discovery: user interviews, support ticket mining, behavioral pattern analysis,  bring evidence, not assumptions
  • Drive delivery: sprint rituals, unblocking engineers, coordinating with design and QA to ship on time
• Own the Data - End to End
  
  • Instrument from scratch: define events, work with engineers to implement tracking correctly the first time
  • Build your own dashboards: funnels, retention curves, cohort breakdowns, in Mixpanel, Metabase, or wherever the data lives
  • Write SQL: pull, clean, join, and analyze from multiple sources without waiting on a data team
  • Run experiments: design A/B tests, size them correctly, evaluate results, know when the result is inconclusive
  • Translate data into decisions: no analysis for its own sake, every insight should have a 'so what'
• Embrace AI as a Force Multiplier
  
  • We're building a culture where AI tools are a normal part of the workflow, not a gimmick, not a crutch, but a genuine accelerant. You don't need to arrive with a fully AI-native workflow, but you should be curious, willing to learn, and honest about what the tools can and can't do.
  • Accelerate research and spec writing: use AI to get to a first draft faster, then bring the judgment that models lack context, regulatory constraints, user nuance
  • Prototype before engineering: use tools like Figma, Claude, or v0 to get to something tangible before asking engineers to build it
  • Data work with AI assistance: use code-generation to help write SQL or Python,  but understand what the output is doing and be able to catch errors
  • Stay curious: the tooling is evolving fast; experiment, share what you learn, and bring useful finds to the team
• Drive Alignment Across Functions
  
  • Compliance and Risk: in fintech, constraints are features that understand the SBP regulatory environment and make them part of the design, not an afterthought
  • Ops and CS: the people closest to user pain are in support, build relationships with them, mine conversations, and close the loop
  • Marketing and Growth: own the funnel end-to-end; know what's happening at acquisition, activation, retention, and revenue
  • Engineering: earn credibility through sharp specs and technical empathy; you don't need to code but you should understand tradeoffs
• Communicate With Precision
  
  • Executive updates: short, structured, opinionated, lead with the decision, not the background
  • Async by default: write clearly enough that people don't need a meeting to understand what you're asking
  • Document everything important: decisions, post-mortems, experiment results. written records help the whole team learn, not just the person who was there

What it takes to become a Sadanaut:‍

Experience matters, but it is not the only path in. A fresh graduate with a strong quantitative background, a portfolio of analytical work, and genuine product curiosity can be just as compelling as someone with years of PM experience. We hire and level accordingly.

• The Foundation We're Looking For
  
  • Analytical rigour: you're comfortable working with data; through SQL, Python, spreadsheets, or a mix. You don't wait for someone else to pull numbers
  • Product instincts: you think about users, tradeoffs, and outcomes, not just features and timelines
  • Clear written communication: you can explain a complex problem simply, in writing, without needing a meeting to back it up
  • Curiosity and a bias for action: you're comfortable making a call with incomplete information and adjusting as you learn. You don't need everything to be perfect before you start
  • Quantitative degree or equivalent demonstrated ability: Analytics, Data Science, Statistics, CS, Engineering, Economics or a portfolio that shows the same rigour
• Stronger Candidates Will Also Have
  
  • SQL proficiency: joins, window functions, CTEs. Ideally something you use regularly, not just theoretically
  • Experience with analytics tools: Mixpanel, Amplitude, Metabase, Tableau, or similar
  • Some exposure to product or analytics work: internships, freelance projects, university research, personal projects, we care about demonstrated thinking, not just job titles
  • Familiarity with A/B testing and experiment design: understanding of statistical significance, sample sizing, and the limits of experimentation
  • AI tool usage in your workflow: you've used Claude, ChatGPT, Copilot, or similar for real work and you have a view on where they help and where they fall short
• Good to Have
  
  • Python or R for data analysis
  • Figma or wireframing experience
  • Awareness of Pakistan's fintech regulatory environment: SBP, EMI regulations, NADRA BVS; you don't need to be an expert, but you should be able to learn fast
  • Prior product management experience: not required, but will be reflected in scope and compensation‍

The Mindset We're Looking For‍

You don't need years of PM experience to succeed here. What matters more is intellectual honesty, knowing what you know, being upfront about what you don't, and having the drive to close the gap. You use data to form views, not to postpone them. You communicate clearly without hiding behind jargon. You're curious about AI tools and willing to experiment with them. And you care enough about the user that their problems feel personal.

We've hired people straight out of university into this team before. If you have the foundation and the hunger, we're genuinely interested.

Perks of being at SadaPay:

• USD-Denominated Salary: At SadaPay, all salaries are pegged to USD to help protect team members from inflation. If the dollar depreciates against the PKR, you'll always receive a minimum payment equal to your PKR salary.
• Remote-First Work Culture: We’re a remote-first company, allowing our team to work from the office, from home, or anywhere they choose. Teams may coordinate internally to determine if occasional office presence is needed.
• Flexible Leave Policy: We offer a flexible leave policy to support a sustainable work-life balance. We trust our colleagues to manage their work and leave responsibly.
• Comprehensive Insurance Coverage: Every Sadanaut, regardless of grade, receives Life and Medical Insurance (covering both outpatient and inpatient care), including immediate family and parents.
• Provident Fund Contributions: Provident fund contributions are provided to all team members to support their financial growth.
• Technology and Resources: Each colleague receives a laptop and additional resources (relevant to their role) to ensure they can work efficiently and comfortably.

‍Equal Opportunity Provider:

At SadaPay, we are committed to fostering an inclusive environment where everyone feels welcome and valued. We strive to make every Sadanaut feel comfortable and respected in the workplace. Discrimination of any kind has no place here; instead, we promote a culture of respect and mutual support among colleagues. Our recruitment process is built on fairness and equality for all, irrespective of race, age, gender, color, religion, social status, disability, or ethnicity.

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