Who We Are
About The Opportunity
What You’ll Be Doing
1. Find and Prioritize High-Value Problems
-
Embed with business teams and frontline users to understand their workflows, decisions, data, constraints, and pain points.
-
Separate root causes from symptoms and determine whether the right answer is process redesign, better data, automation, AI, or a combination of these.
-
Prioritize opportunities based on business value, user reach, risk, feasibility, time-to-value, and reuse potential.
-
Translate ambiguous needs into clear problem statements, target outcomes, success metrics, and executable plans.
2. Build and Deliver Solutions
-
Define the minimum valuable product and rapidly validate it with real users and data.
-
Personally prototype solutions such as copilots, agents, workflow automations, and internal tools.
-
For larger or higher-risk initiatives, partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness.
-
Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover.
3. Drive Adoption and Business Impact
-
Design solutions with users and adapt workflows based on real operational behavior.
-
Lead pilots, enablement, training, and change management required for sustained adoption.
-
Track outcomes such as time saved, cycle-time reduction, quality improvement, risk reduction, cost avoided, and active usage.
-
Ensure every initiative has a business owner, an adoption plan, and a sustainable operating model.
4. Productize and Scale What Works
-
Identify recurring workflows, data needs, integrations, and governance requirements across teams.
-
Convert successful deployments into reusable components, templates, reference architectures, or configurable products.
-
Decide when a need should remain bespoke, use shared components, or become a standardized product or platform capability.
-
Build practical playbooks and standards for opportunity assessment, prototyping, evaluation, productionization, and impact measurement.
-
Feed field learnings into shared Product and Engineering roadmaps, reducing duplicated and one-off solutions.
What We Look For In You
-
4+ years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software/data engineering.
-
Demonstrated ability to uncover high-value problems through workflow observation, data analysis, and stakeholder engagement.
-
Hands-on experience building and shipping AI, data, or automation-enabled solutions used in real operational workflows.
-
Strong product judgment, including prioritization, MVP definition, trade-off decisions, rapid validation, and avoidance of over-engineering.
-
Sufficient technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability.
-
Working knowledge of LLMs, RAG, agents, tool use, prompt design, evaluation, observability, and human-in-the-loop systems.
-
Experience turning bespoke business needs into reusable products, shared services, or operating standards.
-
Strong communication and stakeholder-management skills across frontline users, technical teams, and senior executives.
-
High ownership and comfort operating in ambiguous, fast-changing environments.
Nice-To-Haves
-
Experience in fintech, crypto/blockchain, financial services, or another regulated industry.
-
Experience working with Compliance, Legal, Risk, Customer Service, Operations, or other non-engineering functions.
-
Experience with enterprise data platforms, knowledge systems, agent frameworks, workflow orchestration, or MCP-based integrations.
-
Experience leading an AI enablement function, forward-deployed team, internal product incubator, or multidisciplinary delivery team.
-
Familiarity with Lark/Feishu and enterprise internal-tooling ecosystems.
Expected Outcomes
-
Establish a repeatable approach for identifying and prioritizing high-value AI opportunities.
-
Deliver production use cases with measurable operational impact and sustained adoption.
-
Create clear ownership and decision paths from prototype to production, scale, handover, or stop.
-
Turn selected deployments into reusable capabilities adopted by multiple teams.
-
Build a network of business champions and technical partners capable of scaling AI adoption across the organization.
Perks & Benefits
-
Competitive total compensation package
- L&D programs and education subsidy for employees' growth and development
-
Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!