About the Role:

We are on a mission to establish a new standard of trust for global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, specifically within cybersecurity, privacy, and ESG (Environmental, Social, Governance). Simply put, we build software for the professionals who ensure trust between businesses.

Our team is remote-first, enabling you to perform your best work from anywhere. We are a rapidly growing company, backed by top investors, and are dedicated to building a diverse and inclusive team. We believe that different perspectives and experiences are essential to shaping the future of audit and advisory. Our team is inclusive, driven, humble, and supportive. We are committed to creating a team and culture that not only excels in individual skills but also cares deeply about supporting each other's growth.

As an early-stage start-up employee, you’ll have the opportunity to help build the future of business trust. We aim to make the lives of audit practitioners easier by significantly reducing their workload and improving their work-life balance. If you share our values and passion for building a great culture and product, you will find a home with us.

Key Attributes:

• Early-Stage Mindset: You are eager to join a growing company that has found strong demand for its products and is scaling quickly. We have secured numerous top audit and advisory firms as customers, disrupted entrenched legacy technology, and have a high demand for our product.
• Design and UX Focus: You believe that great design and user experience are essential. We prioritize a user-centered approach to problem-solving, competing with legacy software that offers low user satisfaction despite its widespread use.
• Data Obsession: You recognize the potential in our rich dataset for automation and AI. With our data advantage, we aim to provide users with intelligent automation, predictive workflows, and analytics that will transform the audit process.
• Cultural Values: We have ambitious goals and work hard to achieve them, but we also value responsible work practices. We are committed to building a sustainable, inclusive, high EQ, high feedback, and safe environment that celebrates individuals of all backgrounds.

Responsibilities:

• Serve as a key technical contributor as the company scales.
• Play a leadership role in the end-to-end development of features, with a focus on architectural decisions and evaluating different approaches.
• Continuously improve technology and processes, optimizing for iteration speed while maintaining high-quality standards.
• Collaborate on product strategy and UX, shaping the early-stage tech stack, product, and engineering organization.

Required Experience:

• 5+ years of engineering experience.
• Strong interest in product-focused applications of ML/AI, with a focus on production environments.
• Proficiency in at least one programming language, particularly Python or TypeScript.
• Understanding of ML concepts such as supervised/unsupervised/self-supervised learning, neural networks, and deep learning.
• Familiarity with modern ML/AI technologies, including natural language processing (NLP), LLMs (e.g., GPT-3+, open-source models), RAG architectures, and their applications.
• Experience in architecting systems and data pipelines for document-heavy data sets, including document processing, search, and classification.
• Experience in developing, testing, evaluating, and deploying ML models.
• Ability to contribute to all aspects of product strategy and UX.

Preferred Qualifications:

• Experience training, fine-tuning, and deploying LLMs.
• Familiarity with ML frameworks and tools such as TensorFlow, PyTorch, Keras, scikit-learn.
• Familiarity with modern web tech stacks including TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, Python, and AWS.
• Experience with cloud computing platforms like AWS.
• Knowledge of DevOps and continuous integration/delivery best practices.

This role offers an opportunity to shape the future of a fast-growing company while contributing to an inclusive and supportive work environment. If you are passionate about leveraging AI to transform an industry and are excited about building the future of business trust, we’d love to hear from you.