Jobs at DataSnipper

Build and deploy AI agents that automate audit and finance workflows for enterprise customers. Responsibilities include designing agent configurations, debugging accuracy issues, assessing feasibility, leading customer deployments, documenting learnings, influencing product and engineering priorities, and mentoring future forward deployed engineers. The role is customer-facing, hands-on, and requires strong communication, technical judgment, AI tooling familiarity, and willingness to travel to customer sites.

Build and deploy AI agents within customers’ audit and finance workflows, taking engagements from initial design through production use. Diagnose accuracy issues against real audit evidence, assess feasibility, configure agents for edge cases, and communicate product gaps to engineering. Lead customer office hours, document deployment practices, shape professional services frameworks, influence product development, and mentor future FDEs. The role is customer-facing, hands-on, fast-paced, and requires occasional travel to customer sites.

Leads SMB and Mid-Market customer success teams across regions and languages. Owns retention, customer health, expansion, forecasting, and segment strategy. Builds scalable onboarding, QBR, digital engagement, and success programs while developing CSM talent. Partners cross-functionally with Sales, Product, and Marketing to improve customer outcomes, influence the roadmap, and support global growth.

Own the customer journey for B2B SaaS clients, from onboarding and implementation through adoption, retention, value realization, and expansion. Act as a trusted advisor to audit and finance stakeholders, deliver training and business reviews, develop success plans, monitor customer health, and identify growth opportunities. Collaborate with Product, Engineering, Sales, and Solutions Engineering to address customer needs and improve the platform.

Own the monetization foundation across consumption metering, pricing and packaging, entitlements, quotas, billing, invoicing, and administration. Translate commercial strategy into scalable product systems that ensure accurate revenue, trusted data, transparent customer billing, and flexible commercial changes. Partner closely with Finance, Sales, RevOps, and Engineering to define requirements, manage trade-offs, and deliver durable billing and monetization infrastructure.

Build and maintain ERP, accounting, and general-ledger connectors using C#/.NET, TypeScript/React, and Python. Design data mappings, APIs, authentication controls, agent tools, and MCP surfaces. Own integrations from source-system research through production support, including testing, observability, code reviews, and on-call. Collaborate with product, design, ML, and QA teams while delivering reliable, secure, production-ready features in a fast-changing scale-up environment.

Identify and qualify prospects through cold calls, email, and LinkedIn outreach; book meetings for Account Executives; guide prospects through the sales pipeline; become a product expert; build customer relationships; and uncover enterprise business challenges to position DataSnipper as a solution. The role offers an early-career path in a fast-growing sales organization and requires strong communication, organization, energy, and a process-driven approach.

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.

The Senior Backend Engineer will design and build secure IAM platform services, own backend architecture, lead usage management development, and collaborate across teams to enhance identity flows, ensuring reliability and performance.

Lead end-to-end recruiting for engineering, product, and GTM roles across the Americas. Build targeted, diverse pipelines using sourcing, AI, and headhunting; manage screening, interviews, offer negotiations, and hiring metrics. Partner with hiring managers to shape role scopes and hiring strategy, improve TA processes, and contribute to employer branding and talent programs.

As a Senior Site Reliability Engineer, you'll design and implement cloud infrastructure, drive automation via CI/CD, maintain reliability, and mentor teams while managing cloud resources with tools like Terraform and Kubernetes.

Lead backend and AI-agent development for a web-based financial statement review product. Design and build production APIs and services (Python, C#), integrate LLMs and document-understanding pipelines, contribute to the React frontend, ensure security (OWASP/GenAI), maintain reliability, write tests, participate in on-call, and mentor engineers.

Identify and qualify prospects in Latin America through calling, email, and LinkedIn. Book meetings for Account Executives, guide prospects through the sales pipeline, become a product expert, and build relationships to drive growth.

Own the document intelligence platform: ingestion, parsing, extraction, classification, summarization, storage, indexing, and retrieval. Define product strategy, non-functional requirements, evals for quality, and model/tooling choices. Partner closely with engineering, LLM Ops, integrations, and go-to-market to deliver accurate, scalable document data for agentic workflows.

DataSnipper seeks audit and finance professionals to join Solutions Engineering, Customer Success, or Sales. Candidates will apply domain expertise to demonstrate product fit, drive adoption, build client relationships, and help customers eliminate manual audit and finance tasks. Roles emphasize client-facing communication, ownership, and cross-functional collaboration in a fast-paced, hybrid environment.

Provide escalated technical support and troubleshoot logs, APIs, and integrations while working with agentic AI infrastructure to improve resolution quality. Coordinate with Engineering and Product on incidents, maintain knowledge base, track recurring issues, and help onboard new team members.

Lead the Americas Customer Success organization to drive adoption, retention, and customer value across segments. Manage managers, operationalize CS strategy, mitigate renewal risk, enable executive engagement, and partner cross-functionally to scale AI-driven adoption and measurable outcomes.

Build and maintain document ingestion, processing, and extraction pipelines and platform APIs. Integrate AI providers, implement ML-powered extraction, ensure quality metrics, security, and compliance, and collaborate cross-functionally to deliver production-ready document intelligence services.

Manage a portfolio of LATAM audit accounts using direct audit experience to drive onboarding, adoption, QBRs, health monitoring, renewals, and expansion. Design audit-specific enablement, communicate ROI in audit terms, collaborate with Product and Sales, maintain accurate CRM and portfolio data, and act as an internal audit subject-matter resource. Conduct stakeholder conversations in Spanish where required.

Manage a portfolio of audit-focused accounts, drive adoption by mapping product capabilities to audit workflows, run onboarding/QBRs, monitor health and renewals, support expansion, and share audit insights cross-functionally to improve product and enablement.