Founding Account Executive

Arva is building the world's leading agentic AI solution for financial crime compliance operations
.

Backed by Google and Y Combinator
, we are revolutionizing how banks and fintechs conduct compliance. Our robust AI Agents automate manual human review tasks across Screening, AML, KYC, and fraud
, driving operational efficiency and helping financial institutions cut costs by up to 85%.

Founded by experts in financial crime prevention and AI
, our team brings deep expertise from major banks, regulatory bodies, and technology firms. We are a rapidly growing company with offices in San Francisco, New York City, and London
.

We are now looking to accelerate our momentum by expanding our founding sales team.
That's where you come in.

As the Founding Account Executive
, you will be core to scaling Arva's revenue organization and expanding our customer base. This is a high-impact, force‑multiplier role where you will work closely with the CRO and CEO to bring structure, focus, and rapid growth to the sales function.

You will be instrumental in ensuring our agentic AI solutions help financial institutions fight crime more effectively while dramatically improving their operational efficiency.

Location: This role is based in New York City
.

• Own the Full Sales Cycle: Sell Arva's AI‑powered financial crime prevention platform to financial institutions and fintechs to consistently meet or exceed revenue targets.
• Pipeline Management: Manage a pipeline of complex, multi‑stakeholder opportunities from qualification to close, focusing on annual and multi‑year subscription contracts.
• Expert Consulting: Develop deep expertise in financial crime compliance (AML, fraud, sanctions screening) to position Arva's technology as the critical solution to core industry challenges.
• Drive Outbound: Support Business Development Representatives (BDRs) in building a robust pipeline through targeted outbound prospecting within your assigned territory and accounts.
• Strategic Execution: Leverage established sales methodologies (e.g.,
  MEDDICC, Challenger Sale
  ) to qualify and advance opportunities efficiently.
• Collaboration: Coordinate with Solutions Engineers for effective product demonstrations and Proof‑of‑Value engagements, and ensure a smooth handoff to Customer Success for strong adoption.
• Market Insight: Use Salesforce, Linked In Sales Navigator, and other sales tools to manage your business, and provide market insights to Product and Leadership to inform our roadmap and Go‑to‑Market strategy.

• Proven B2B Sales
  
  Experience:
  
  2–4+ years of consistent over‑performance against sales targets in mid‑market or enterprise B2B SaaS sales.
• Deal Management: Demonstrated ability to manage complex, multi‑stakeholder deal cycles (typically 3–6 months).
• Pipeline Ownership: Comfortable with outbound prospecting and actively generating and managing your own pipeline.
• Tech Proficiency: Proficiency using modern sales tools (e.g., Salesforce, Linked In Sales Navigator).
• Consultative Approach: Highly curious and consultative, enjoying the process of understanding complex compliance challenges.
• Sector Knowledge: Experience selling B2B SaaS into financial services, fintech, payments, or compliance/risk functions.
• Trusted Advisor: Ability to build credible, long‑term relationships with key leaders, including Compliance Officers, Fraud Managers, Risk Leaders, and Technology Executives.
• Domain Communication: Excellent communication skills with the ability to clearly explain sophisticated AI/ML concepts and compliance intricacies.
• Resourcefulness: Creative and resourceful, always finding ways to differentiate Arva and deliver exceptional value throughout the sales process.
• Ambitious & Collaborative: Eager to master new technologies, committed to bringing best practices to a growing team, and collaborating seamlessly across departments (Marketing, Solutions Engineering, Customer Success, etc.).

Experience working at a high‑growth startup (Series A - Series C).

Background or strong interest in financial crime, compliance, Reg Tech, or AI/ML.

Existing network/relationships within the compliance or…