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The Software Engineer will lead frontend development using React and TypeScript, mentor junior engineers, and enhance engineering practices in a collaborative environment.

Manage relationships with small to mid-sized customers to drive adoption, retention, renewals, and upsell. Serve as trusted advisor, promote onboarding and best practices, meet retention and usage targets, respond to requests for proposals, and manage a book of business while collaborating with internal teams to improve customer outcomes.

The Senior Software Engineer leads backend system development, mentors team members, and collaborates cross-functionally to deliver high-quality APIs and applications.

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.

The Senior Software Engineer will lead frontend development of significant projects, mentor junior engineers, and ensure high-quality UI solutions using React and TypeScript while collaborating with cross-functional teams.

Define and manage the MomentiveIQ platform integrations roadmap, collaborating with engineering and product teams to ensure effective data movement and integration across the portfolio, focusing on AI-enhanced solutions.

The Software Engineer II - AI will lead backend development projects, build and maintain scalable APIs, mentor junior engineers, and influence engineering practices while working within the .NET ecosystem.

Lead backend implementation and delivery using C#/.NET; design, build, and maintain RESTful/GraphQL APIs; decompose complex problems; mentor engineers; influence engineering practices; collaborate with product and QA; create prototypes to validate architecture.

Lead ASC 606 revenue recognition, manage month/quarter/year close for revenue and deferred/unbilled revenue, prepare journal entries and reconciliations, support external audits, maintain controls and policies, drive process automation, and assist with NetSuite implementation.

Lead data analysis and engineering: preprocess and transform large datasets, build statistical and ML models, design and analyze A/B tests, create reports and dashboards, and collaborate with product and business stakeholders to deliver data-driven solutions and propose innovative approaches.