AI & Data Payments Growth Lead – Singapore

STARLINK FINANCIAL TECHNOLOGIES PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

7 days ago

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Job summary

STARLINK FINANCIAL TECHNOLOGIES PTE. LTD. is seeking a Business Development Manager for the AI & Data vertical in Singapore.

You will own commercial growth by selling our payments infrastructure to AI startups, LLM and data-related companies, data marketplaces and AI SaaS businesses. You will translate AI data needs into payment solutions, collaborate with Product, Technology, Compliance and Legal, and drive multi-currency collections, cross-border settlements and VCC usage.

Qualifications

3–5 years of business development or B2B sales experience in fintech, payment services, PSPs, merchant acquiring or card payments.
Demonstrable track record selling into AI and/or data companies with closed deals and attributable revenue.
Hands-on knowledge of B2B/B2C payments, acquiring, VCC/card solutions, mass payouts and cross-border settlement.
Comfortable pricing deals, negotiating contracts and managing 6–12-month sales cycles.
Understand interchange, rebates and how VCC credit lines improve DPO, cash flow and working capital.
Communicate effectively with technical teams and senior decision-makers on payment solutions, pricing and value.
A self-starter who creates leads, thrives in ambiguity and owns the outcome.
Travel: 10%–20% travel will be required.

Responsibilities

Hunt & Close: Identify, develop and convert new business opportunities across AI and data companies — AI startups, LLM/foundation-model companies, data annotation and labelling platforms, data marketplaces, GPU/compute providers and AI SaaS businesses.
Vertical Strategy: Develop and execute the AI & Data vertical go-to-market plan for Singapore and Southeast Asia —target account mapping, segment prioritization, and revenue, transaction volume and customer acquisition targets.
Use-Case Fluency: Understand AI and data business models and their payment flows — usage-based billing, API monetization, contributor payouts, compute spend and data licensing settlements— and match them to acquiring, payouts, VCC and cross-border solutions.
Ecosystem Presence: Build presence in the AI & Data ecosystem — VC/accelerator demo days, AI conferences, developer and data communities — to generate inbound interest, referrals and early access to high-growth accounts.
Full Cycle: Manage the full sales cycle from prospecting and qualification through solution design, commercial negotiation, contracting, onboarding and go-live.
Solution Development: Work closely with Product and Technology to translate client requirements into commercially viable payment solutions — API integrations, mass payout rails, card issuing and settlement configurations.
Presentation: Present the company's payment infrastructure, APIs, products and platform capabilities to technical founders, CFOs and finance operations teams.
VCC for Compute Spend: Drive adoption of VCC and card-based solutions for cloud, GPU and infrastructure spend — articulating how commercial card credit lines improve cash flow, DPO and working capital for capital-intensive AI businesses.
Payouts Economics: Structure mass payout solutions for contributor and contractor networks with competitive FX, speed and cost positioning.
Negotiation: Lead commercial discussions and negotiations covering pricing, transaction fees, FX spreads, settlement arrangements and service requirements.
Relationships: Build and maintain strong relationships with founders, CEOs, CFOs, Heads of Finance/Ops and procurement at AI and data companies.
Buying Committees: Navigate complex, multi-stakeholder buying processes — influencing economic buyers (CEO/CFO), technical buyers (engineering/finance systems) and end users (AP, finance ops, contributor operations).
Expand: Identify cross-sell and expansion opportunities across additional products, markets, payment methods and currencies as AI clients scale internationally.
CRM Discipline: Maintain an accurate sales pipeline and opportunity records in the CRM; prepare forecasts and provide regular updates on key opportunities and conversion timelines.
Market Intel: Track AI & Data industry trends, funding activity, competitor moves and pricing benchmarks; feed insights into product and pricing strategy.
Cross-Functional Teamwork: Work with Product, Technology, Compliance, Legal, Risk, Finance and Operations throughout the sales and implementation lifecycle; ensure proposed solutions are compliant, viable and successfully transitioned to account management.