Executive Finance Jobs

Position Overview: As a Senior Account Manager with Diligent, you'll be at the forefront of driving revenue growth, deepening customer engagement, and shaping the future of how businesses utilise our cutting-edge solutions. Success in this role means expanding product adoption among current customers and introducing new clients to our platform. This is a high-impact, individual contributor role that demands strategic vision, proactive relationship-building, and relentless pursuit of excellence. You’ll be responsible for everything from engaging prospects and managing a robust pipeline to delivering accurate forecasts and closing deals. Acting as a trusted advisor and strategist, you’ll lead account planning, orchestrate internal collaboration, and leverage expertise to elevate customer success and revenue growth. We’re looking for a commercially sound sales professional with a track record of exceeding targets, a natural collaborator, and someone who thrives in fast-paced, high-growth environments. If you’re driven to create value, embody a customer-first ethos, and deliver innovative solutions, this is the role for you. Key Responsibilities: Proactively build a deep knowledge of and expertise in Diligent’s products, solutions, strategy and business priorities. Responsible for prospecting new and existing business within the designated vertical / territory for complex accounts with longer sales cycles. Adopts a ‘solutions’ selling approach, understanding customer needs and developing solutions through the lens of the Diligent One Platform. Build deep relationships with prospects and customers during interactions by being customer-focused and consistently honouring commitments and connecting the customer to internal commercial stakeholders to foster product growth. Develop and execute on account plans to ensure revenue targets, quota and customer business needs are met and collaborates with key stakeholders to drive integrated joint account wins for mutual business g

Position Overview: The Solutions Sales Director will play an instrumental role in driving revenue growth for Diligent’s solutions across existing and new accounts. This role is focused on candidates with strong expertise in entity management space , either as a practitioner (e.g., company secretary) or someone who has directly used entity management tools in a commercial or operational setting. The Solutions Sales Director is responsible for managing larger, complex accounts with longer sales cycles and driving adoption of the Diligent One Platform. This individual contributor position manages the full sales cycle, from initial prospect/customer meetings through to deal completion, while orchestrating internal expertise to deliver on and grow accounts. Providing coaching, guidance, and support to Sales stakeholders is a key element to enable team members to learn best practices. Success in this role is measured by expanding product usage in existing customers, migrating customers to the Diligent One Platform, and selling to new accounts. Key Responsibilities: Demonstrate and maintain expert-level knowledge of Diligent’s entity and subsidiary management solutions. Prospect and manage new and existing business within the designated territory, focusing on larger, complex accounts with longer sales cycles. Apply a consultative ‘solutions selling’ approach, using deep domain expertise to understand customer needs and position the Diligent One Platform effectively. Leverage industry-focused insights to create long-term competitive advantages for customers. Expand strategic customer relationships and drive growth across multiple areas of the organisation. Gather feedback from customers on needs, products, and features; collaborate with product management and marketing to drive improvements. Develop strategic account plans that generate new business and upsell opportunities, coordinating cross-functional teams to execute plans. Manage the end-to-end sales cycle using

Position Overview: The research function within Diligent Market Intelligence is primarily responsible for being subject matter experts on one of the research verticals. These verticals include compensation, governance, activism, voting and risk. Key responsibilities include managing the methodology for data collection; managing outsourcer workflow; quality assurance and liaising closely with Product and Engineering teams. The Senior Research Analyst serves as a subject-matter expert within a designated research vertical such as governance, compensation, activism, voting, or broader risk domains. This role conducts oversees third-party research workflows and owns the design and continuous refinement of data collection standards, quality controls, and methodology documentation. Findings are translated into clear, actionable insights for clients, while close collaboration with Research Managers, Product, Engineering, and Data Services ensures accurate outputs, regulatory alignment, process improvements, and strong operational reporting. As a senior team member, the analyst mentors colleagues, reviews deliverables for accuracy and consistency, and brings strong analytical judgment, curiosity, and leadership to advancing both the product and the overall research function. Key Responsibilities Develop, own, and continuously refine the data collection methodology for the assigned vertical, ensuring accuracy, consistency, and alignment with regulatory and product requirements. Proactively manage and communicate workload expectations to third-party research providers, ensuring timely, high-quality data delivery. Monitor and produce management reporting on daily workflows, identifying trends, bottlenecks, and opportunities for process optimization. Train and support third-party providers on methodology, quality standards, and process updates to ensure consistent execution across all research activities. Collaborate with Res

Position Overview: The Solutions Sales Director will play an instrumental role in driving revenue growth for Diligent’s solutions across existing and new accounts. This role is focused on candidates with strong expertise in entity management space , either as a practitioner (e.g., company secretary) or someone who has directly used entity management tools in a commercial or operational setting. The Solutions Sales Director is responsible for managing larger, complex accounts with longer sales cycles and driving adoption of the Diligent One Platform. This individual contributor position manages the full sales cycle, from initial prospect/customer meetings through to deal completion, while orchestrating internal expertise to deliver on and grow accounts. Providing coaching, guidance, and support to Sales stakeholders is a key element to enable team members to learn best practices. Success in this role is measured by expanding product usage in existing customers, migrating customers to the Diligent One Platform, and selling to new accounts. Key Responsibilities: Demonstrate and maintain expert-level knowledge of Diligent’s entity and subsidiary management solutions. Prospect and manage new and existing business within the designated territory, focusing on larger, complex accounts with longer sales cycles. Apply a consultative ‘solutions selling’ approach, using deep domain expertise to understand customer needs and position the Diligent One Platform effectively. Leverage industry-focused insights to create long-term competitive advantages for customers. Expand strategic customer relationships and drive growth across multiple areas of the organisation. Gather feedback from customers on needs, products, and features; collaborate with product management and marketing to drive improvements. Develop strategic account plans that generate new business and upsell opportunities, coordinating cross-functional teams to execute plans. Manage the end-to-end sales cycle using

Position Overview: As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements. This role is ideal for a mid-level engineer who writes solid code and embraces AI-powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows. Key Responsibilities Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services. Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production. Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements. Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment. Required Experience/Skills 3–5 years of professional software engineering experience in an agile, fast-paced environment. AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics). Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness). Cloud & infrastructure basics: Hands-on with AWS ser

You will own the roadmap for a core part of Diligent’s governance, risk and compliance SaaS platform, shaping how senior leaders and boards collaborate, communicate and make decisions in a secure, modern way. You’ll turn customer problems and market insights into simple, impactful product experiences, and work closely with engineering, design, and go ‑ to ‑ market teams to bring them to life. In this Senior Product Manager role, you’ll spend your time deeply understanding customer needs, prioritising what truly moves the needle, and defining clear success metrics for everything you ship. You’ll lead a cross ‑ functional squad, manage the product backlog, and launch features that drive engagement, adoption and measurable outcomes for our customers across the Diligent Platform. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Own and continuously refine the product roadmap for your area, using customer insight, data and market trends to prioritise what to build next. Define and drive product strategy that aligns with Diligent’s vision for modern governance, connecting your roadmap to clear business and customer outcomes. Act as the voice of the customer: run discovery, validate problems and solutions, and translate insights into clear user stories and product requirements. Lead an agile, cross ‑ functional team (engineering, UX, product marketing, sales, customer success) to design, build and launch high ‑ quality SaaS features. Set goals, KPIs and success metrics for your product, track performance and user engagement, and iterate based on what the data and customers tell you. Tackle complex product and execution challenges by breaking down ambiguous problems, navigating trade ‑ offs, and making clear, data ‑ informed decisions. These are the essentials you’

Position Overview: The Solutions Sales Director will play an instrumental role in driving revenue growth for Diligent’s solutions across existing and new accounts. This role is focused on candidates with strong expertise in entity management space , either as a practitioner (e.g., company secretary) or someone who has directly used entity management tools in a commercial or operational setting. The Solutions Sales Director is responsible for managing larger, complex accounts with longer sales cycles and driving adoption of the Diligent One Platform. This individual contributor position manages the full sales cycle, from initial prospect/customer meetings through to deal completion, while orchestrating internal expertise to deliver on and grow accounts. Providing coaching, guidance, and support to Sales stakeholders is a key element to enable team members to learn best practices. Success in this role is measured by expanding product usage in existing customers, migrating customers to the Diligent One Platform, and selling to new accounts. Key Responsibilities: Demonstrate and maintain expert-level knowledge of Diligent’s entity and subsidiary management solutions. Prospect and manage new and existing business within the designated territory, focusing on larger, complex accounts with longer sales cycles. Apply a consultative ‘solutions selling’ approach, using deep domain expertise to understand customer needs and position the Diligent One Platform effectively. Leverage industry-focused insights to create long-term competitive advantages for customers. Expand strategic customer relationships and drive growth across multiple areas of the organisation. Gather feedback from customers on needs, products, and features; collaborate with product management and marketing to drive improvements. Develop strategic account plans that generate new business and upsell opportunities, coordinating cross-functional teams to execute plans. Manage the end-to-end sales cycle using

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. The next frontier for AI is the physical world. We're looking for an AI Product Manager to own the Robotics vertical within our Physical AI team. In this role, you'll own both the development of the data and training environments (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the "data as a product" strategy that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows. You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You'll Do Own the Robotics AI roadmap & data strategy: Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading physical AI labs to understand where their robot p

About Scale AI At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. Reinforcement learning environments are now the center of gravity for that work: the difference between a model that demos well and a model that reliably completes long-horizon work is almost always the quality of the environments and reward signals it was trained against. Responsibilities As a Staff Software Engineer, RL Environments, you'll own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale. An RL environment is a real piece of software: a containerized world with real dependencies, real state, real tools, and a grader that has to be correct even when the agent is creative about breaking it. Building one is a full-stack engineering problem. Building thousands of them reproducibly, cheaply, with trustworthy reward signals and throughput measured in millions of rollouts is a systems problem that very few people have solved. You'll work on both. You'll design the platform: sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and the authoring surfaces that let engineers and domain experts produce environments without reinventing infrastructure each time. And you'll go deep on the environments themselves by instrumenting real applications, designing task suites that expose specific capability gaps, and building graders that

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a Sr. Staff Design Verification Engineer to lead end-to-end verification efforts for our advanced CPU and AI compute platforms. This role is ideal for seasoned engineers with deep expertise in CPU verification who excel at driving complex test plans to closure, mentoring teams, and leveraging modern AI tools to accelerate innovation. This role is hybrid, based out of Boston, Toronto, Ottawa or Santa Clara. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Proven track record leading end-to-end CPU verification across processor cores, caches, interconnects, interrupts, MMU/IOMMU, and cache coherency protocols, with multi-chip and emulation experience a plus. Expert in creating comprehensive test plans and building simulation testbenches using SV-UVM, C/DPI, and Cocotb. Skilled in managing high-volume regression execution, complex failure triage, and driving test plans and coverage metrics to closure. Experienced leader and mentor dedicated to guiding junior engineers and fostering verification best practices across teams. Proficient in leveraging modern AI tools like Copilot, Cursor, Claude, Gemini, and ChatGPT to optimize ver

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a skilled Software Engineer with a passion for building high-performance, low-level systems software. In this role, you’ll contribute to the development and optimization of the infrastructure that powers our cutting-edge processors, with a primary focus on C/C++ development and low-level programming. You'll work closely with large inference and training model development to further drive Scale Out software and hardware performance. This role is hybrid, based out of Toronto, ON. Who You Are Strong C or C++ systems engineer with a deep understanding of memory, threading, I/O, and low-level execution models. Experienced building low-level software, drivers, embedded systems, or performance-critical infrastructure. Comfortable working close to hardware and curious about how systems behave under the hood. Proficient with Linux systems programming and debugging tools such as gdb, strace, and perf. Structured problem solver who thrives in fast-paced, highly technical environments. What We Need Design, develop, and maintain core infrastructure software that interfaces directly with Tenstorrent hardware. Build low-level libraries and APIs for communication and synchronization across compute nodes. Optimize system-level software for performance, scalability, and reliability in distributed environments. Support hardware

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent’s AI Models team and work at the layer most ML engineers never see: bringing advanced models to life on custom AI hardware. You’ll own real workloads end‑to‑end including porting, tuning, and validating LLMs and vision models on our accelerator, and chasing down every last millisecond and percentage point of accuracy. This role is for people who love the craft of ML engineering and want their work to matter at silicon scale, not just behind another API. This role is hybrid , based in Cyprus. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Bring up, run, and debug modern ML models (e.g., transformers) using PyTorch or TensorFlow. Analyze model behavior and performance, and identify bottlenecks across the stack. Improve efficiency, correctness, and scalability of model execution in real systems. Work closely with compiler, kernel, and hardware teams to drive performance and system-level improvements. Help translate state-of-the-art model architectures into production-grade, high-performance deployments. What We Need Strong experience building and working with ML models in PyTorch or TensorFlow. Strong understanding of mod

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . You will own the end-to-end delivery of complex features, optimize backend performance, and collaborate on architectural decisions that impact more than 1,000 enterprise customers worldwide. This is an ideal role for an experienced engineer who thrives on technical autonomy, enjoys tackling complex cloud-native challenges, and wants to have a direct impact on product direction. Feature Ownership & Architecture: Design, build, and maintain scalable, secure, and highly observable backend services and microservices using Java and Spring Boot. Platform Evolution: Actively contribute to upgrading our core platform infrastructure, focusing on system resilience, performance tuning, and seamless component communication. Security & Compliance: Implement rigorous secure coding practices to safeguard data exchange and ensure compliance across our multi-tenant SaaS environment. Collaborative Execution: Work closely with Product, QA, and senior le

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . Working closely with senior and lead engineers, you will design, develop, and maintain high-quality features that power enterprise data exchange for more than 1,000 customers worldwide. This is an incredible opportunity to deepen your expertise in cloud-native architectures, enterprise security, and modern DevOps practices in a fast-growing product environment. Feature Development & Design: Write clean, maintainable, and well-tested code using Java and Spring Boot to deliver scalable backend services and microservices. Platform Reliability: Contribute to enhancing the monitoring, logging, and observability of our core platform to ensure high availability and performance. Security & Compliance: Implement secure coding practices to safeguard data exchange and maintain compliance across our cloud infrastructure. Collaborative Execution: Work within an agile team, collaborating closely with QA, Product, and fellow engineers to deliver high-qual

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control. Redwood’s global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Get out of the weeds and see the forest, with Redwood Software. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT As a HR Manager for our Canada Center of Excellence, you will be the core People Lead for our growing Engineering team in Canada, building a vibrant, high-performing culture from the ground up. You will serve as a strategic HR partner with deep expertise in employee relations, talent development, leadership coaching, and Canadian employment standards. Using people data, AI, and automation, you will help leaders make informed talent decisions, streamline People practices, and connect local execution with Redwood’s global talent strategy. Partner closely with R&D and Engineering leaders to align talent strategies with technical roadmaps, product goals, and organizational priorities. Coach technical managers, from first-time managers through VPs, on difficult conversations, performance management, team dynamics, and building high-performing technical teams. Champion a culture of “AI First,” helping Engineering leaders use automated tools and digital enablement to improve team workflows. Us