Jobs at Maxima

Create product positioning, messaging, and high-quality content (buyer guides, whitepapers, product pages, webinars) to educate enterprise accounting leaders, generate pipeline, and translate complex accounting workflows and AI capabilities into clear narratives. Partner with Product, Engineering, customers, and Demand Gen; conduct research, interviews, and competitive analysis; and build repeatable editorial systems.

The Content Marketing Manager will develop and manage Maxima's content strategy, focusing on SEO, production systems, and audience engagement for senior accounting leaders.

Deploys Maxima’s AI accounting platform for enterprise customers. Responsibilities include supporting technical sales cycles, running proofs of concept, leading discovery, scoping implementations, tuning prompts and models, building integrations and custom modules, and troubleshooting production software. The role requires close customer collaboration, communication with Account Executives, and partnership with product and engineering teams to deliver reliable customer solutions.

Lead enterprise software implementations for Maxima’s accounting automation platform. Manage deployment timelines, dependencies, milestones, and technical resources while translating accounting workflows into implementation plans. Partner with customers, Product, Engineering, Sales, and Customer Success; support pre-sales discovery; develop scalable deployment frameworks; and turn field insights into product priorities and repeatable playbooks. The role is based in Toronto with in-office work four to five days per week.

Deploys enterprise accounting software for customers by leading technical discovery, proofs of concept, integrations, custom modules, and AI prompt/model tuning. Partners with Account Executives during complex sales cycles and collaborates with product and engineering on customer requests. Troubleshoots, debugs, upgrades, and supports production deployments while communicating directly with customers.

Drive high-impact engineering initiatives across agentic AI systems, enterprise accounting automation, platform scalability, financial data processing, infrastructure, and complex workflow abstractions. Own major product and engineering areas, collaborate closely with customers, and help shape technical direction and company growth. The role requires building reliable systems for high-volume, mission-critical financial workloads in a fully in-office startup environment.

Lead enterprise deployments of an AI accounting platform, managing implementation timelines, dependencies, milestones, and technical resources. Translate accounting workflows and business goals into implementation plans while coordinating customers, Engineering, Product, Sales, and Customer Success. Support pre-sales discovery, design scalable deployment processes, standardize workflows, gather customer insights, and improve adoption, delivery velocity, and measurable close-efficiency outcomes.

First QA engineer responsible for increasing end-to-end test coverage using Playwright and AI-generated tests, maintaining tests, performing manual edge-case testing, and later fixing bugs and implementing features in a TypeScript/React codebase. Role is fully in-person in downtown Toronto, five days a week.

Lead and own technical and operational delivery of enterprise implementations, translate accounting workflows into implementation plans, manage timelines and dependencies, create repeatable deployment frameworks, support pre-sales scoping, and convert field insights into product and process improvements to accelerate adoption and outcomes.

Join a new Toronto engineering office and work across the stack building an agentic AI platform for enterprise accounting. Contribute to web development, databases, distributed systems, and frontend (TypeScript/React/Redux). Help define office culture and scale product and team.

Design, build, and scale systems to ingest and process large volumes of financial data. Architect data lakes, develop multi-tenant relational databases, evaluate search/vector database solutions, and implement reliable data pipelines and workflow engines supporting mission-critical accounting automation.

Source and qualify new enterprise SaaS opportunities through outbound outreach and research. Manage pipeline handoffs to Account Executives, partner with Marketing and Product on campaigns, and continuously test messaging and tools to improve conversion.

Lead product positioning, messaging, and content to articulate Maxima’s agentic accounting platform for enterprise finance leaders. Produce buyer guides, whitepapers, product pages, webinars, and thought leadership. Partner with Product, Engineering, customers, and Demand Gen to translate technical accounting and AI capabilities into persuasive content that drives awareness and pipeline. Conduct customer research and build repeatable editorial systems.

Own and drive large technical initiatives to scale a platform for enterprise accounting: design durable financial data processing, build infrastructure for agentic systems, solve complex workflows, and collaborate closely with customers.

As a Deployment Engineer, you will manage technical sales processes, develop implementations, build integrations, and provide ongoing support for deployed solutions.

Implement and manage DevSecOps practices in SDLC, focusing on security integration, CI/CD pipeline hardening, cloud infrastructure security, and compliance documentation.

Build and productionize agentic AI workflows for enterprise accounting. Design prompts, evaluations, and model interfaces; integrate AI into product and infrastructure; ensure reliability and scalability of AI-driven financial systems.

Build and improve core backend or frontend components of an agentic AI platform for enterprise accounting. Collaborate with engineers, product, and customers to deliver reliable, high-quality features handling high-volume financial data and complex workflows.

Lead the development and scaling of core AI agent systems for enterprise accounting automation, engaging with stakeholders, and solving complex system challenges.