Senior Product Manager

The role

• We are looking for a Product Manager who can wear two hats simultaneously:
  The Evangelist/Teacher: You will treat this platform as a consumer-grade product,
  obsessing over how easily our Engineers, PMs, and Data Scientists can adopt, trust,
  and use it.
• The Shipper/Engine room: You manage the trade-offs between "keeping the lights
  on" (fixing a broken pipeline) and "innovation" (building a new self-serve tool). You
  have the backbone to say "No" to the Head of Sales so the team can ship the
  long-term fix.

We don't just want "tables in a warehouse." We want a data ecosystem that is as easy to use
as the app we build for our customers.

What will you do
1. Product Strategy: "Data as a seamless enabler of speed & impact"

•  Define the "Golden Path": You will create the roadmap that moves us from "wild
  west" data creation to a governed, paved road. You decide how a dataset is born,
  certified, and deprecated.
• Balance Safety vs. Speed: You will solve the ultimate fintech paradox: "How do I
  give 500 people access to data instantly without leaking PII or violating banking
  regulations?"
• ROI & Attribution: You won't just track platform uptime; you will track value. Which
  datasets are driving the most decisions? Which are "zombie" data products (tools,
  tables, pipelines, processes) wasting compute costs, slowing execution or
  decreasing trust?

2. The Engine (Technical Execution)

• Real-Time Capabilities: You will work with engineers to move beyond daily batches.
  You will own the strategy for enabling event streaming to enable real-time fraud
  checks and instant user notifications and beyond.
• The Semantic Layer: You will own the "Business Logic" layer. You ensure that when
  Finance says "Revenue" and Product says "Revenue," they are looking at the exact
  same number. Our metadata and documentation are not just ‘hygiene’ they power
  broad user understanding and AI products which consume them
• Platform Scalability: You will prioritize technical debt alongside feature work,
  ensuring our modern data stack doesn't buckle under 10x growth.

3. The Experience (Internal Enablement)

• The "Data Portal": You will own the discovery experience. A new joiner should be
  able to find the "Transactions" dataset, read its documentation, and see who owns it
  in <5 minutes.
• Self-Serve or Die: Your goal is to eliminate "Data Support Tickets." You will build
  tools that allow PMs to run their own A/B tests and Commercial leads to build their
  own dashboards.
• Community Building: You will run "Data Clinics," write internal newsletters, and
  champion a culture where data literacy is a core skill for every employee, not just
  analysts.

4. Data products in the AI enabled world (Strategy & Innovation)

• Harnessing the power of S/LLMs: You will explore, experiment and build strategy
  for using a wide range of AI tools to enable, empower & enhance customer
  experience and data products - thinking way beyond code assist!
• Innovation in the Agentic world: You will think ahead to the agentic world and
  power Dojo to safely and effectively leverage AI agents within Dojo’s broader data
  ecosystem

What you will bring

• The "Full Stack" PM: You have 5+ years of Product Management experience. You
  are equally happy discussing Lakehouses vs Warehouses with an engineer as you
  are discussing User Journey Maps with a designer.
• Fintech Context (Preferred): You understand that in our world, data isn't just
  "content"—it's a ledger. You know the importance of exactness, audit trails, and
  immutability.
• SQL Fluent: You can query your own data. You don't need to be a DBA, but you
  shouldn't need an analyst to hold your hand to check a hypothesis.
• Empathy for the "Customer": You understand that your customers are the
  stressed-out Backend Engineer trying to log an event and the rushed Marketing Lead
  trying to find a segmentation list. You build to make their lives easier.
• Governance as a Product: You don't see governance as "red tape." You see it as a
  feature that gives users confidence. You know how to automate compliance so it
  doesn't slow people down.

Why This Role is Different

• Most Fintechs will ask you to just "build the pipeline" and ignore the user
  experience.
• Most Tech Companies will ask you to focus on "insights" but lack the complex,
  high-stakes data engineering challenges.
• We offer both. You get the engineering complexity of a neobank with the product
  culture of a SaaS platform.
• Less "How," More "When" and "Who": We have strong Tech Leads who own the
  architecture. Your job is to give them clarity and space to execute, and then ensure
  their work is adopted by the business.
• High Visibility: You are the face of the Data in every room you are in. When things
  go well, you share the credit; when things break, you manage the comms.

Success Metrics (How We Measure You)

1. Adoption: % of internal teams actively using the platform with the necessary
segmentations for audience, task and tooling/paths.
2. Velocity: End to End latency, change failure rate, recovery time (think DORA or
beyond!)
3. Trust: Reduction in "Data Quality" support tickets, user satisfaction etc. (e.g., "Why
does this number look wrong?").
4. ROI: Incremental value (revenue, cost, time saved, stability, risk reduction)