Business Owner

How you will make an impact in this role

We build AI-powered products that change how financial decisions are made. As a Business Owner, you are the connective tissue between user needs, data insights, and engineering execution. You are not the person who follows a playbook — you are the sharp thinker who questions assumptions, cuts through ambiguity, and owns what ships.

What you will do

• Own the business metric your product area moves — set quarterly KPI targets (CVR, revenue contribution, cost per decision, gross margin impact); monitor weekly; you own the number, not just the tracking of it.
• Own the business value of each sprint — before each sprint, define the business outcome it is designed to move (CVR lift, cost reduction, revenue unlock); after it ships, validate whether it moved; you own the gap between intended and actual impact.
• Own the business ROI of every build trade-off — prioritize by expected business value (revenue, CVR, gross margin) vs. cost; make deprioritization explicit with reasoning; you own the consequence of what was delayed or killed, not just what shipped.
• Own the business impact of each release — set minimum viable scope against the intended outcome (CVR, revenue, cost reduction, gross margin); make the go/no-go call; a release that ships on time but doesn't move the metric is still your outcome.
• Own feature adoption and post-launch business validation — validate the core assumption before building; track adoption, CVR, and revenue impact after launch; a feature that ships cleanly but moves nothing is a failed outcome.
• Own yearly/quarterly/monthly business commitments — translate roadmap into milestone-level outcomes with clear metrics (CVR targets, revenue contribution, cost reduction, gross margin improvement); flag deviations early; own the gap between committed and delivered.
• Own AI feature business outcomes — define success in business terms (CVR lift, revenue impact, cost savings, gross margin effect), not model accuracy; decide when a model creates enough business value to ship; own the impact-vs-risk trade-off for every AI capability in production.

What We're Looking For

Core traits — non-negotiable:

• Logical thinker: you structure problems before jumping to solutions. You can break a messy situation into clear components and reason through it step by step.
• Critical thinker: you challenge assumptions — including your own. You ask for evidence, not just opinions, and you push back when the logic doesn't hold.
• Fast learner: you pick up new domains quickly and connect dots across disciplines. You don't need a full brief to start forming a view.
• Communicator: you write clearly and concisely. You can explain a technical concept to a non-technical audience without losing precision.

Outcome owner signals — we will probe for these in interviews:

• You monitor business metrics yourself. You don't wait for someone to tell you a number moved.
• You own the balancing act. You don't escalate trade-offs — you frame them, recommend, and decide within your scope.
• You distinguish motion from progress. Features shipped and meetings held are inputs, not outcomes.
• You can answer: "What business metric did my work improve last quarter?" — with specifics.

Experience & skills:

• Experience in product management or a closely related role with hands-on ownership of a live product is a plus 
• Proven track record shipping AI/ML or data-driven features with measurable business results.
• Comfortable with data: SQL or equivalent, product analytics dashboards, basic statistical reasoning.
• Experience working with or alongside AI/ML teams — you understand what a model guarantees and what it does not.
• Strong written communication — PRDs and specs that drive decisions, not docs that get filed.
• Proficiency in product tools: Jira, Confluence, Figma (or equivalent).
  

AI Readiness Level: Advanced — required for this role.

• You use AI tools (Claude, ChatGPT, Gemini, etc.) daily to accelerate drafting, research, synthesis, and analysis — not as a party trick.
• You critically evaluate AI outputs. You spot hallucinations, biases, and gaps instead of passing them downstream as your own work.
• You write precise prompts that get useful results. You iterate until the output is actually good enough to act on.
• You understand AI limitations — model drift, data quality issues, edge cases — and factor them into product decisions.
• You collaborate fluently with data scientists. You know the difference between what a model optimises for and what the business needs.
• You define AI feature success in business terms: not accuracy, but the outcome that accuracy enables.

 Nice to Have

• Experience in fintech, lending, credit risk, or financial services.

What We Offer

Join our vibrant team and enjoy:

• Competitive compensation, including 13th-month salary and performance bonuses.
• Comprehensive health care for you and your dependents.
• Generous leave policies and flexible work hours.
• Convenient District 1 office location (next to the metro station).
• On-site lunch, Grab for work allowance, and fully equipped workstations.
• Fun team-building activities, sponsored sports clubs, and Thursday happy hours.
• Unlimited free coffee, tea, snacks, and fruit.
• A chance to make a profound social impact by democratizing credit access in emerging markets.

At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what's right, what's best, and what's innovative. If you're smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We offer the runway to truly make an impact.

Learn more about us: https://trustingsocial.com | https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s