--- title: 'Engineering Manager (AI) at AiPrise' canonical: 'https://feeny.ai/job/engineering-manager-ai-aiprise-san-jose-p4yykrxnnz6v' type: 'job' last_seen: '2026-11-11' --- # Engineering Manager (AI) at AiPrise - **Company:** AiPrise - **Location:** San Jose, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-11-11 - **Apply:** https://jobs.ashbyhq.com/aiprise/979719ab-e60c-4495-88b6-2ab8c5ac56d3 ## Job description ## About AiPrise AiPrise is a YC-backed, Series A company building the global compliance infrastructure for financial services. We help banks, fintechs, cross-border payment providers, stablecoin and crypto companies, and marketplaces gain a 360° view of every business they onboard, anywhere in the world. Through a single integration, we connect 800+ data sources and 80+ verification partners across 200+ countries, powering KYB, KYC, AML, sanctions screening, and ongoing monitoring for companies like Meta, Airwallex, Fireblocks, and Bridge. Our AI Agents help compliance teams do more with less, resolving more cases, catching more fraud, and scaling operations without scaling headcount. We're ~60 people, Series A funded, and obsessed with a single problem: making compliance feel simple for the teams who live in it every day. Borders shouldn't be blockers. Compliance is hard. AiPrise shouldn't be. ## About the role We are hiring an Engineering Manager to lead and grow the team that builds AiPrise's AI agents. This is a player-coach role: you will manage, hire and develop engineers, and you will also stay close enough to the code to design agent architectures, review prompts and tool definitions, and debug a failing eval yourself. You will own how our agents are built, measured and shipped: the skills and tools they call, how they remember context across a case, and the evals that tell us whether a change made them better or worse. In a regulated domain like KYC and KYB, an agent that is confidently wrong costs our customers real money and audit risk, so quality and observability matter as much as speed. ## What you'll do Lead the team - Manage a team of 5-6 AI and backend engineers: weekly 1:1s, clear goals, honest feedback and career growth plans. - Hire the next wave of AI engineers. You will own the interview loop for agent-engineering roles and raise the bar on it. - Run planning and delivery for the AI roadmap with product, so the team ships on predictable cycles without burning out. - Build a culture where engineers write evals before they claim a win, and where incidents lead to fixes, not blame. Build the agents, hands on - Design and review our compliance agents, from single document checks to multi-step investigations that hand off to human reviewers. - Build the reusable skills, tools and memory our agents rely on to call registries and data vendors and carry context across a case. - Own the eval stack: golden datasets built with compliance experts, regression tests in CI and production monitoring. - Write and review code about 50% of the time, and choose models based on accuracy, cost and latency. ## What we're looking for People leadership - 2+ years managing engineers directly, including hiring, performance reviews and at least one hard conversation you handled well. - A track record of growing engineers: someone you managed got promoted or took on a bigger scope because of your support. - Experience running planning and delivery for a team in a fast-moving startup or scale-up. Hands-on agent engineering - 6+ years as a software engineer, with strong backend skills in Python or TypeScript. - You have built and shipped LLM agents to production, not just prototypes, and can explain what broke and how you fixed it. - Practical experience with each of these: designing tool and function-calling interfaces; packaging reusable skills or prompt modules; implementing agent memory (short-term context, long-term stores, retrieval); and building evals that gate releases. - Comfort with at least one major model API (Anthropic, OpenAI or similar) and the trade-offs between agent frameworks and plain code. - A habit of measuring: you can show an eval you built, the metric it tracked and a decision it changed. ## How you work - Clear written communication. You can explain an agent failure to a compliance lead and to an engineer. - Good judgment on when to build, when to buy and when to keep a human in the loop. ## Nice to have - Experience in fintech, regtech, fraud, identity verification or another regulated domain where AI decisions need an audit trail. - Document AI experience: OCR, document classification or extraction across many languages and formats. - Experience with LLM observability and tracing tools, and with cost and latency optimization at scale. - Contributions to open-source agent, eval or retrieval projects, or public writing on the topic. ## About AiPrise ## Company Overview - **One-liner**: AiPrise provides an AI-powered global compliance platform that unifies identity verification, fraud prevention, and risk mitigation for businesses onboarding users and companies worldwide. - **Entity Type**: Private (Series A) - **Headquarters**: San Jose, California, United States - **Founded**: 2022 - **Founders**: Chaitanya Sarda (CEO) and Rushabh Shah (Co-CEO) ## Core Business - **Primary industries**: Financial Services, RegTech, Identity Verification, Fraud Prevention, Compliance - **Target customers**: B2B – payments companies, neobanks, stablecoin/crypto firms, lenders, marketplaces, and any business needing global KYC/KYB and AML compliance - **Mission / purpose statement**: “Onboard users and businesses globally with speed and confidence” – replacing fragmented compliance systems with a single, AI-driven data layer. ## Products & Services - **KYC (Know Your Customer)**: Global coverage with local document verification, eKYC checks across 70+ countries, proof of address/source of funds, phone/email/IP risk signals. - **KYB (Know Your Business)**: Global registry search across every jurisdiction, UBO & stakeholder mapping, website & social signals, document authenticity checks, sanctions/watchlist/PEP screening with ongoing monitoring. - **Fraud & Risk Scoring**: Unified AI risk score for every user and business, AML alert scoring/prioritisation, cross‑profile correlation to surface linked accounts and fraud rings. - **AI Agents for Compliance**: - **Website Agent** – automatically extracts and verifies business data from company websites (saves ~7 minutes per site). - **Document Agent** – checks 10+ document types in seconds. - **AML Agent** – automates sanctions, watchlist, and adverse media screening. All products are delivered as a SaaS platform with APIs and a unified dashboard. ## Market Standing - **Valuation**: Not disclosed - **Key Metric** (Funding): **$14.625M total** – Seed ($125K – 1 investor, 2022‑06) and $2M Seed led by Okta Ventures & Y Combinator (2022‑09); **Series A $12.5M** led by Headline with four investors (2025‑11) – [linkedin.com](https://www.linkedin.com/company/aiprise) - **Notable Investors/Partners**: Headline (lead Series A), Okta Ventures, Y Combinator; 50+ KYB/KYC data providers integrated. - **Growth Signals**: - Headcount: 40 employees (+113.6% YoY) – [linkedin.com](https://www.linkedin.com/company/aiprise) - 17 active job postings (up 750% YoY) – [linkedin.com](https://www.linkedin.com/company/aiprise) - Operates in 8 countries (India, US, Nigeria, Singapore, UK, Spain, Argentina, Mexico) - Claims 500M+ verifiable users and 5B+ verifiable businesses in its network – [aiprise.com](https://www.aiprise.com/) - Trusted by 2+ unnamed enterprise customers (likely pre‑scale) ## Competitive Advantages - **Unified data layer**: Replaces 5–10 separate vendors; pulls risk, compliance, and fraud signals from hundreds of sources worldwide in one place. - **AI‑first compliance agents**: Website and document agents automate manual review, freeing up to 80% of analyst hours and cutting review costs by >60%. - **Global breadth**: 200+ countries covered, 800+ data points per business, 100+ data points per individual. - **False positive reduction**: Claims to cut false positives by 95% through AI scoring. - **Real‑time ongoing monitoring**: Sanctions, watchlist, PEP, and adverse media checks with continuous alerts. ## Strategic Focus - **Global expansion**: Investing in regional teams (EMEA, LATAM, APAC) and local data coverage. - **AI‑driven automation**: Deepening AI agent capabilities (Website, Document, AML) to make compliance teams “superhuman.” - **Platform breadth**: Adding more data sources and fraud signals to become the single compliance operating system for high‑growth fintechs. - **Scaling sales**: Actively hiring Account Executives for US and LATAM, Customer Success Managers, and Forward Deployed Engineers. ## Why Work Here - **High growth trajectory**: 113% headcount growth in the last year, strong funding, and ambitious product roadmap. - **Remote/Hybrid culture**: Offices in San Jose, CA (hybrid/in‑office) and Bangalore, India; many roles offer remote or hybrid options – [builtin.com](https://builtin.com/company/aiprise) - **Engineering‑led**: Roles like Staff Software Engineer, Forward Deployed Engineer, Security Engineer; tech stack likely modern with AI/ML components. - **Perks**: Not explicitly listed, but small team size (~40) suggests high ownership, fast decision‑making, and direct impact on product and customers. - **Founder credibility**: CEO Chaitanya Sarda previously led spam protection and Caller ID at Google – [ycombinator.com](https://www.ycombinator.com/companies/aiprise) ## Sources 1. [aiprise.com](https://www.aiprise.com/) 2. [linkedin.com](https://www.linkedin.com/company/aiprise) 3. [builtin.com](https://builtin.com/company/aiprise) 4. [ycombinator.com](https://www.ycombinator.com/companies/aiprise) 5. 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