Neo.Tax

Full-stack Engineer

• Cross-functional collaboration — Work with engineering, data science, and product to evaluate requirements, scope projects, estimate effort, and prioritize work that delivers real value.
• Design, develop and maintain web applications — Deliver value for our customers, both externally and internally facing.
• Data ingestion at scale — Build pipelines that process millions of records from diverse sources (Jira, Github, payroll systems, accounting software, etc.) reliably and efficiently.
• Data modeling — Design schemas flexible enough to handle different company types, industries, and business processes.
• Integrations — Read API documentation, build integrations with third-party systems, and handle the inevitable quirks of external data sources.
• Customer-facing features — Ship functionality that helps finance teams run their monthly capitalization workflows.
• Internal tooling — Build tools that help the team operate and debug the system.
• Automated testing and deployment — Develop and maintain processes to ensure robust systems.
• Code Review — Review other engineers’ code and provide timely and valuable feedback to ensure high quality.
• Troubleshoot critical issues — Identify root-cause and eliminate recurrence through durable engineering fixes.

Senior Full-Stack Software Engineer

Data Engineer

• Own ML/AI problem spaces end-to-end: Define success metrics, create baselines, iterate on approaches, and drive projects from prototype to production.
• Model development: Build and improve models spanning classification, information extraction, entity resolution, clustering, ranking, anomaly detection, and forecasting.
• LLM systems: Design and evaluate prompt + retrieval + tool-calling pipelines; improve quality through datasets, labeling, and systematic evaluation.
• Data foundations: Define datasets, labeling strategies, and data quality checks; build features that generalize across customer contexts.
• Experimentation and evaluation: Design offline evaluations and online experiments; build dashboards and monitoring to detect regressions.
• Production ML engineering: Build and operate training/inference pipelines (batch and/or online), model serving, feature/data pipelines, and monitoring/alerting for quality, latency, and cost.
• Partner with engineering: Collaborate on productionization, scalability, reliability, latency, and cost; contribute directly to model-serving or batch pipelines as needed.
• Cross-functional collaboration: Work with product, engineering, and customer-facing teams to understand workflows and translate real customer pain into ML deliverables.
• Technical communication: Write clear specs and postmortems, document trade-offs, and communicate progress, risks, and decisions.

Senior Data Scientist – Machine Learning Engineer

Account Executive

• Own a named account territory of enterprise and strategic prospects, with a focus on Fortune 2000 companies with meaningful R&D investment profiles.
• Drive full-cycle enterprise sales from prospecting and discovery through technical validation, champion development, legal/procurement, and close.
• Build and execute multi-threaded account strategies across VP Tax, CFO, and VP Engineering/CTO stakeholders simultaneously.
• Develop and maintain a pipeline that supports consistent quarterly and annual quota attainment.
• Conduct high-quality discovery to understand each prospect’s R&D investment profile, current study methodology, Section 174 exposure, and key KPIs.
• Articulate Neo.Tax’s value proposition in the language of the VP of Tax, the Tax Director, and the Engineering Leader — tailoring the narrative to each stakeholder’s priorities.
• Navigate complex procurement, legal, and security review cycles common in large enterprise environments.
• Accurately forecast, build your pipeline, and maintain CRM hygiene to support business planning and leadership visibility.
• Serve as a primary source of market intelligence — feeding competitive insights, buyer objections, and ICP refinements back to product, marketing, and sales leadership.
• Contribute to the development of sales playbooks, messaging frameworks, and enablement materials as the team scales.
• Represent Neo.Tax at industry events, tax conferences, and partner forums.

Senior Full-Stack Software Engineer

Senior Data Scientist – Machine Learning Engineer

Enterprise Account Executive