Jobs at DataSnipper

Own the web platform product roadmap, including navigation, onboarding, administration, dashboards, notifications, shared components, patterns, and APIs. Prioritize requests across customers and internal teams, shape information architecture with design, manage engineering dependencies, support sales demos and pilots, and improve activation, adoption, time to first result, and platform delivery speed.

Build and maintain core identity and access management services supporting authentication, authorization, and access control. Develop secure, scalable backend systems, integrate with backend teams, improve reliability and performance, and participate in second-line on-call support. The role requires cloud, API, CI/CD, testing, and scalable systems experience, with preferred exposure to microservices, Docker, Kubernetes, and platform security.

Support day-to-day People Operations, including employee lifecycle administration, payroll-related tasks, HR system maintenance, employee inquiries, process documentation, and operational improvements. Collaborate on global People Team projects, identify AI tools to improve workflows, and manage smaller operational tasks. The role is a six-month hybrid internship based in Amsterdam.

Lead a team of five EMEA Account Managers while owning retention, expansion, renewals, forecasting, and multi-year commitments. Drive executive-level negotiations with accounting firms, migrate customers to AI products, improve forecast discipline, coach deal execution, rebalance account books, and provide customer insights to senior leadership. Partner with Customer Success, Product, and Marketing on adoption, product needs, firm programs, churn risk, pricing pressure, and competitive displacement.

Build and ship production AI agent systems for audit and finance using Python. Develop agent orchestration, tools, context and evaluation loops; improve reliability, traceability, security and performance in a regulated domain. Lead technical decisions, mentor senior engineers, establish engineering standards, handle complex incidents, and collaborate with Product on the platform roadmap.

Defines audit standards, reference cases, and expected reasoning for AI agents performing audit procedures. Reviews agent outputs, identifies errors, assesses readiness for live engagements, translates auditing standards into product requirements, and maintains methodology content. Creates and validates realistic audit materials, tracks standards changes and inspection findings, and educates product and engineering teams on audit practice.

Own product marketing for DataSnipper’s AI solutions, including competitive intelligence, buyer personas, positioning, messaging, battlecards, and sales enablement. Translate complex AI capabilities into clear customer value, strengthen differentiation, and create feedback loops across Sales, Marketing, Customer Success, and Product. The role requires influencing stakeholders globally and supporting pipeline growth through consistent, compelling product narratives.

Build and own billing, monetization, usage metering, credit consumption, pricing, entitlements, licensing, onboarding, and provisioning systems. Integrate billing, payment, CRM, and ERP platforms while ensuring financial correctness, reconciliation, auditability, security, and observability. Develop production backend systems in Python on Azure, collaborate with Product, Finance, Sales, and Customer Success, and contribute to architecture, technical direction, code reviews, and mentorship.

Lead DataSnipper’s Revenue Enablement function and manage two Enablement Managers. Own enablement strategy, prioritization, product launch readiness, training programs, playbooks, and product knowledge infrastructure for AEs, CSMs, SEs, and managers. Partner with Product and Product Marketing to translate roadmap updates into field-ready materials, support discovery and objection-handling training, measure program impact, and align global revenue teams.

Designs and delivers technical, industry, discovery, and value-realization enablement programs for global revenue teams. Creates scalable training workbooks, playbooks, technical guides, and objection-handling frameworks. Partners with Product, Product Marketing, Sales Engineering, Customer Success, and Revenue Enablement to translate complex software concepts into practical guidance. Analyzes field performance and enablement impact on adoption, delivery quality, and customer outcomes.

Design and maintain highly available Azure infrastructure, automate CI/CD pipelines, coach teams on reliability practices, implement Prometheus and Grafana monitoring, orchestrate Kubernetes workloads, and develop Terraform infrastructure-as-code templates. The role focuses on cloud engineering, platform reliability, automation, scalability, and secure user management within a collaborative Cloud Platform team.

Supports the Finance team with business performance monitoring, financial and operational reporting, variance analysis, forecasting inputs, and board-deck preparation. The intern will help explain forecast-to-actual gaps, support growth and profitability initiatives, and automate manual Finance processes using AI tools. The role requires strong Excel skills, attention to detail, curiosity about SaaS businesses, and current Master's study in Finance or Accounting.

Own and grow DataSnipper’s North American partner ecosystem across consulting firms, technology platforms, and industry networks. Source opportunities, support partnership agreements, develop joint go-to-market plans, co-sell with sales teams, and drive partner-sourced pipeline and revenue. Represent the company within the audit and finance community, capture partner feedback for internal teams, and build trusted relationships with senior stakeholders. The role is hybrid in New York City and involves international travel.

Lead and expand DataSnipper’s strategic partnerships across Europe and EMEA, including consulting firms, technology platforms, and regional networks. Own partner-sourced pipeline and revenue targets, develop co-selling and go-to-market programs, negotiate commercial agreements, launch partner initiatives across markets, and create enablement materials. The role also feeds partner insights into product strategy and represents the company at industry events.

Lead the Billing & Monetization engineering team responsible for onboarding, licensing, entitlements, usage metering, billing, payments, and revenue reporting. Set technical direction for scalable, secure, observable, and auditable customer lifecycle systems; develop high-performing engineers; partner with Product, Finance, Sales, and Customer Success on pricing and packaging; and advance AI-assisted engineering practices.

Own a portfolio of audit-focused B2B SaaS accounts, driving onboarding, adoption, health monitoring, success planning, QBRs, renewals, and expansion. Use audit expertise to advise stakeholders, design workflow-based enablement, communicate ROI, identify growth opportunities, and provide audit insights to Product, Sales, and Solutions Engineering. Maintain accurate portfolio data and contribute audit knowledge to the broader Customer Success team.

As an Account Executive, you will drive new business in your territory by building relationships, navigatin complex sales cycles, and optimizing sales strategies. You'll become a product expert and partner with BDRs to exceed targets and influence decisions.

Lead a two-person Data Platform team responsible for event ingestion, Snowflake data models, dbt transformations, analytics platforms, customer-facing reporting, and reverse ETL. Set technical direction, own roadmap and delivery, manage performance and development, and partner with business stakeholders. Remain hands-on with streaming architecture, data contracts, reliability, observability, cost optimization, compliance, and integrations across Azure, product systems, CRM, billing, and GTM platforms.

Own the strategy and roadmap for DataSnipper’s identity and access platform, including authentication, provisioning, permissions, administration, and AI authorization. Partner with engineering, security, design, sales, and customer success to support enterprise requirements, improve usability, ensure least-privilege access, and align dependent product teams. Translate security, privacy, and compliance needs into product decisions while leading cross-functional execution without formal authority.

Build and operate Data, Systems, and AI Engineering infrastructure for GTM and business operations. Own HubSpot architecture, CRM workflows, enrichment, intent signals, integrations, governance, automations, scoring models, and AI agents across Marketing, Sales, Business Development, and Customer Success. Partner with Operations to turn business requirements into reliable systems, improve data quality, consolidate tooling, and create revenue-impacting workflows.