Arva AI

Location: In person, NYC Type: Full-Time Note on Salary: For exceptional candidates with strong product impact and relevant experience, we are open to offering compensation above the specified range. About Arva 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. About the Role As a Mid-Market Account Executive, you will be the engine of Arva’s revenue growth. You will focus on winning mid-sized banks, credit unions, and high-growth fintechs — organizations that are feeling the most pain from manual compliance processes. You will report to the CRO and work in a fast-paced, high-activity environment where you own the entire sales cycle from discovery to close. Location: This role is based in New York City. What You’ll Do Full-cycle ownership: Manage the end-to-end sales process for mid-market accounts, consistently meeting or exceeding monthly and quarterly revenue targets. High-velocity pipeline: Navigate 3–6 month deal cycles, managing a high volume of opportunities simultaneously without losing momentum. Consultative selling: Become a subject matter expert in Financial Crime (AML, KYC, Fraud) to challenge prospect assumptions and position Arva as a "must-have" rather than a "nice-to-have." Strategic prospecting: Partner with BDRs to build a "gold standard" outbound engine while also generating your own high-quality leads through targeted outreach. Sales methodology: Apply MEDDICC or Challenger frameworks to qualify deals rigorously, ensuring your forecast is accurate and your time is spent on winnable business. Collaborative closing: Lead technical deep-dives with Solutions Engineers and coordinate with Legal/Compliance teams to navigate mid-market procurement hurdles. About You Track record: You have 3 – 5 years of B2B SaaS sales experience, with at least 2 years specifically in a Mid-Market or "Commercial" AE role. You have a proven history of hitting 100%+ of your quota. Winning mentality: You are a proactive "hunter" who thrives on collaborating with BDRs to build a high-quality pipeline while maintaining a relentless focus on closing and exceeding quarterly quotas. Fintech/RegTech experience: You have experience selling into financial services, risk, or compliance functions. You understand the language of Compliance Officers and Risk Leads. Executive presence: You can command a room of C-level executives at a mid-sized bank, translating complex AI concepts into clear business ROI. Tooling pro: You are proficient with GTM tools such as Hubspot and LinkedIn Sales Navigator. Adaptability: You thrive in the start up environment — you’re comfortable with ambiguity and eager to help refine our sales playbooks as we grow. Ideal, But Not Required Prior experience at a high-growth startup (Series A - Series C). Deep knowledge of AI/ML applications in regulated industries. A pre-existing network within the NYC fintech or banking ecosystem. Our Offer Competitive Compensation: Strong base salary, uncapped commission structure, and meaningful equity. Career Acceleration: As an early member of the mid-market team, you have a direct path to Senior AE or Sales Leadership roles. Top-Tier Environment: Work in a high-intensity, collaborative NYC office alongside experts from Google, YC, and global finance. Impact: You are selling a product that literally stops

Location: In person, Central London, 4–5 days in office Type: Full-Time NB: We are able to sponsor visas Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%. As our first Customer Success hire, you'll own the post-sale relationship with our financial institution clients — ensuring they get maximum value from Arva's platform, driving retention, and feeding real-world insight back into the product. You'll be operating at the intersection of compliance, AI, and enterprise relationships in a fast-moving early-stage environment. About the Role As Customer Success, you will: Own the end-to-end customer relationship post-onboarding, from initial deployment through to expansion and renewal. Become the internal voice of the customer — synthesising feedback from compliance teams and translating it into actionable product insight. Partner closely with Sales, Product, and Engineering to ensure customers achieve measurable outcomes and that Arva delivers on its promises. What You'll Do Onboarding & Deployment: Guide new clients through onboarding, ensuring fast time-to-value and a smooth handoff from the sales process. Relationship Management: Build trusted, senior relationships within compliance and operations teams at financial institutions. Value Delivery: Proactively monitor customer health, identify risks early, and drive adoption of key platform features. Feedback Loop: Capture and synthesise structured feedback from customers to inform product prioritisation and roadmap decisions. Retention & Expansion: Own renewal conversations and identify upsell and expansion opportunities in partnership with Sales. Internal Advocacy: Represent the customer perspective in internal conversations — ensuring the product, support, and engineering teams understand real-world usage and pain points. Our Culture Deliver Value Fast — Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. Outcome Obsessed — We obsess over details and take full ownership of wider outcomes, not just tasks. If something falls short, we fix it properly and prevent recurrence, always raising the bar. Relentless Urgency — We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. What We're Looking For We're open to two profiles: Consulting background: 2–3 years at a top-tier consultancy (strategy, financial services, or risk focus), with strong analytical foundations and client-facing experience. Hungry to move into a high-ownership operator role. Startup CS background: 1–2 years in a Customer Success or Account Management role at a B2B SaaS startup, ideally with exposure to fintech, regtech, or compliance tooling. In both cases, we're looking for: Communication: Exceptional written and verbal communication — able to build trust with senior stakeholders in regulated institutions. Commercial Acumen: Understanding of retention, expansion, and the business mechanics of enterprise SaaS. Curiosity: Genuine interest in financial crime, compliance, and AI — you don't need to be an AML expert on day one, but you should be excited to become one. Ownership: Proactive, self-directed, and accountable for outcomes. You don't wait to be told what to do. Rigour: Detail-oriented and structured — comfortable operating in a regulated, high-stakes environment. Why Join Us? Be part of an early-stage startup with significant ownership and direct influence over how we serve our customers. Work on a product that directly impacts how financial crime is detected and prevented globally. Collaborate with a passionate, mission-driven team operating at the intersection of AI, compliance, and e

Location: In person, NYC Type: Full-Time About Arva Arva is building the world's leading agentic AI solution for financial crime compliance operations. Research sits at the core of everything we do, and we work with some of the largest financial institutions in the world. 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%. Arva was founded in 2024 by Rhim Shah (CEO) and Oli Wales (CTO). Rhim previously led the financial crime product team at Revolut Business, where he watched skilled analysts spend tens of thousands of hours on repetitive manual reviews — and realised AI could do this work faster, more consistently, and with a full audit trail. Together with Oli, formerly lead product engineer at Opvia (YC S20), he built Arva to give compliance teams superpowers. Our wider team brings deep expertise from major banks, regulatory bodies, and technology firms, and we are growing rapidly with offices in New York City and London. We are now ready to build the sales organization that will take Arva to market at scale. That's where you come in. About the Role As Head of Sales, you will own Arva's revenue engine. This is a player-coach role: you will carry a personal book of our most strategic enterprise accounts while simultaneously building, hiring, and developing a world-class sales team. You will set the go-to-market strategy, define the sales playbook, and be the executive face of Arva in front of the largest banks and financial institutions in the world. This is a founding-team-level role with direct impact on the trajectory of the company. Location: This role is based in New York City. What You'll Do Revenue ownership: Set and deliver against the company's annual revenue targets, owning the full sales pipeline from top-of-funnel through close. Team building: Hire, onboard, and coach a team of senior enterprise Account Executives. Instil a culture of rigour, urgency, and customer obsession from day one. Sales playbook development: Build and codify Arva's enterprise sales methodology — qualification frameworks, discovery process, PoV structure, and multi-stakeholder engagement strategy — tailored to the unique complexity of bank procurement. Strategic deal leadership: Lead or co-sell on Arva's largest, most complex opportunities, personally navigating C-suite relationships at tier 1 and tier 2 banks. GTM strategy: Partner with the CEO and marketing to define ICP, pipeline targets, channel strategy, and territory design as we scale. Cross-functional leadership: Represent the voice of the customer internally, aligning Product, Engineering, and Customer Success to close deals and drive expansion. Forecasting and operating cadence: Own weekly pipeline reviews, board-level revenue reporting, and headcount planning with precision and accountability. Your First 90 Days Days 1–30: Immerse yourself in the product, the regulatory landscape, and our customers. Take ownership of our active enterprise opportunities and pilots, and build relationships across Product, Engineering, and Customer Success. Days 31–60: Codify our enterprise sales playbook — qualification framework, discovery process, and PoV structure — based on what you learn from live deals. Open your own pipeline of strategic accounts and begin hiring your first Account Executives. Days 61–90: Have your first AE hires onboarded and ramping against the playbook, a board-ready forecast and operating cadence in place, and a clear GTM plan agreed with the CEO for the next two quarters. About You Sales leadership track record: 5+ years in enterprise B2B SaaS sales, with at least 3 years in a sales leadership role managing AEs in a high-growth environment. Financial services domain: Deep experience selling into banks, fintechs, or financial institutions. Y

Location: In person, Central London, 4-5 days in office Type: Full-Time NB: We are able to sponsor visas Note on Salary: For exceptional candidates with strong product impact and relevant experience, we are open to offering compensation above the specified range. Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%. As an AI Research Engineer, you’ll play a pivotal role in building our in-house models—training, fine-tuning, and rigorously evaluating LLMs and agentic systems that power our AI compliance platform, from document fraud detection to web-scale due diligence. You’ll also develop the automation and infrastructure that continuously tests and improves performance (evals, data/label pipelines, training loops, and iterative fine-tuning/distillation). About the Role As an AI Researcher, you will: Build and iterate on in-house LLM and agentic capabilities, integrating them into product features with rigorous evaluation, benchmarking, and backtesting across real compliance workflows. Design continuous-improvement loops for our models, leveraging human-in-the-loop feedback to drive dataset curation, fine-tuning/distillation, and optimisation of model behaviour. Stay on the frontier and translate research into impact, exploring and applying new AI methods to improve model quality, explainability, latency, and reliability in production. What You’ll Do Evals: Build benchmarks, evaluate backtests and analyse results to quantify our performance and prevent regressions. Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases. Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges. AI features: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans. MLOps: Ensure that we maintain good practices around collecting and managing datasets, backtests and benchmarks to to maximise development velocity Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs. Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions. Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers. Our Culture Deliver Value Fast Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. We move quickly without cutting corners on quality, security, or trust. Outcome Obsessed We obsess over details and take full ownership of wider outcomes, not just tasks. We think like the user, execute with rigor, and validate that every detail works in real conditions. If something falls short, we fix it properly and prevent recurrence, always raising the bar. Relentless Urgency We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. Urgency means focus, momentum, and driving meaningful progress without unnecessary delay. What We’re Looking For Experience: 3+ years in an AI research or engineering role, with experience building and testing agentic systems. Technical Expertise: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models. Experience using TypeScript a plus. Product Mindset: Strong understanding of how AI can solve real-world problems, with a focus on customer needs. Interests: Ability to stay updated with the latest advancements in AI and apply them effectively. Collaboration: Excellent communication skills to work across teams and explain com

Location: In person, Central London, 4–5 days in office Type: Full-Time NB: We are able to sponsor visas Note on Salary: For exceptional candidates with strong product impact and relevant experience, we are open to offering compensation above the specified range. Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%. As a Forward Deployed Engineer, you’ll sit at the intersection of customer, product, and engineering. You will lead customer and pilot deployments end-to-end, working directly with users to frame problems, build and ship solutions rapidly, and ensure successful go-lives. You’ll operate in the field, iterating quickly with tight feedback loops, while translating real-world customer needs into clear product insights that shape our roadmap. About the Role As a Forward Deployed Engineer, you will: Own customer deployments from first engagement through implementation, launch, and post-go-live iteration. Build, customise, and iterate workflows and integrations directly in customer environments. Act as the technical face of Arva AI with customers, deeply understanding their compliance processes and constraints. Translate customer problems into concrete product requirements, backed by evidence and clear specifications. What You’ll Do Customer Deployments: Deliver end-to-end deployments, from problem framing and solution design to implementation and go-live. Build in the Field: Rapidly ship workflows, configurations, and integrations directly with customers, iterating fast based on real usage and feedback. Problem Framing: Work closely with customer stakeholders to deeply understand their operational pain points and success criteria. Product Feedback Loop: Synthesize customer learnings into actionable insights for the product and engineering teams, influencing roadmap priorities. Implementation & Integration: Configure and integrate Arva AI into customer systems, ensuring reliability, performance, and trust. Iteration: Continuously refine deployed solutions to improve accuracy, usability, and customer impact, preventing regressions and edge-case failures. Collaboration: Partner closely with product, engineering, and leadership to align customer outcomes with long-term platform strategy. Our Culture Deliver Value Fast Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. We move quickly without cutting corners on quality, security, or trust. Outcome Obsessed We obsess over details and take full ownership of wider outcomes, not just tasks. We think like the user, execute with rigor, and validate that every detail works in real conditions. If something falls short, we fix it properly and prevent recurrence, always raising the bar. Relentless Urgency We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. Urgency means focus, momentum, and driving meaningful progress without unnecessary delay. What We’re Looking For Experience: 3+ years in a software, solutions, or forward-deployed engineering role, ideally customer-facing. Technical Strength: Strong engineering fundamentals with the ability to quickly build, adapt, and integrate production systems. Comfort working across APIs, data pipelines, and modern web backends. Customer Empathy: Deep curiosity about how customers operate, with the ability to translate messy real-world problems into structured solutions. Product Mindset: Strong intuition for what should be productised versus solved tactically, and how customer learnings should shape the roadmap. Ownership: Comfortable taking full responsibility for deployments, outcomes, and customer success. Communication

Location: In person, London Type: Full-Time NB: We are able to sponsor visas Note on Salary: For exceptional candidates with strong product impact and relevant experience, we are open to offering compensation above the specified range. Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial service providers onboard businesses more quickly while cutting operational costs by 80%. As a Senior Full-Stack Product Engineer, you’ll play a pivotal role in building and iterating on full-stack features of our AI-powered anti-financial crime platform such as document fraud detection and web due diligence. You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models. About the Role As a Senior Full-Stack Product Engineer, you will: Build and maintain full-stack product features across front-end, back-end, AI, devops and MLops. Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning. Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy. What You’ll Do Front-end: Build interfaces that clearly explain the decisions made by our system without overloading the user. Back-end: Build systems that can scale to large volumes of requests without sacrificing reliability. AI: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans. Devops: Ensure that we maintain fast deployments and good CI/CD practices to maximise development velocity. Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs. Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases. Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges. Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions. Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers. Our Culture Deliver Value Fast Speed starts with clarity. We first understand what value actually means, for the customer, the business, or the system, and then take the shortest credible path to delivering it. We move quickly without cutting corners on quality, security, or trust. Outcome Obsessed We obsess over details and take full ownership of wider outcomes, not just tasks. We think like the user, execute with rigor, and validate that every detail works in real conditions. If something falls short, we fix it properly and prevent recurrence, always raising the bar. Relentless Urgency We move with urgency because time matters. We prioritise what truly moves the outcome, make decisions with imperfect information, and act decisively. Urgency means focus, momentum, and driving meaningful progress without unnecessary delay. What We’re Looking For Experience: 4+ years in a full stack / product engineering role, as well as experience using AI/ML and computer vision. Technical Expertise: Proficient in TypeScript, React and NodeJS, and with good product intuition. AI Skills: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models. Product Mindset: Strong understanding of how AI can solve real-world problems, with a focus on customer needs. Interests: Ability to stay updated with the latest advancements in AI and apply them effectively. Collaboration: Excellent communication skills to work across teams and explain complex AI concepts to non-technical stakeholders. Ownership: A proactive, problem-solving mindset with the ability to take full responsibility for projects and outco