Strategic Account Director in Canada

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

SF IDEO Senior BxD Designer IDEO San Francisco is in search of a Senior Business Designer who will frame complex business problems, translate insights into viable growth opportunities, and drive ideas toward real-world activation. The role: At IDEO, we help clients move forward when the path isn’t clear — whether driven by ambition, responding to disruption, or breaking out of entrenched ways of working. As a Senior Business Designer, you’ll help teams and organizations turn bold ideas into viable, real-world outcomes — shaping new products, services, and ventures while building the business models, strategies, and pathways to bring them to market. Working across the spectrum from insight to execution, you’ll use business tools, systems thinking, entrepreneurial creativity, and strategic analysis to drive competitive advantage and strategic growth for our clients. The right person for this role has strong business acumen and strategic instincts, with experience in growth strategy, product management, go-to-market execution, or venture creation. They’re comfortable navigating ambiguity, working with multi-disciplinary teams, influencing senior stakeholders and building conviction for new ideas. They quickly understand how a business creates and captures value, connecting market insights, customer needs, and financial drivers into compelling strategies — moving work forward with the right balance of rigor and creativity to drive real impact. Why is this role important for IDEO’s work? Business Designers make the biggest impact by turning ambiguity into clarity and connecting insights to commercially viable opportunities. Their skillset is critical to our work because they bring together strategy, business decision making, market understanding and business model thinking to help clients create and capture value. We count on them to move work beyond ideas into action and provide clear, informed pathways for winning investments. Once here you will: Creatively

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON The FP&A team at Qualia is the analytical engine of the Finance organization. We own the company’s planning and forecasting processes, serve as trusted business partners to functional leaders, and produce the financial insights that inform our most important strategic decisions—all in an environment where AI is actively reshaping how we work. As a Senior FP&A Analyst, you will be a driving force across the organization for forecasts, annual planning, long-range planning, and critical financial analysis — partnering closely with leaders across Sales & Marketing, Customer Success, R&D and G&A to manage spend, track performance, and surface insights that shape how Qualia operates as we scale. RESPONSIBILITIES Elevate Qualia's financial rigor — drive deeper Budget vs. Actuals analysis and forecast precision via smarter, more data-driven modeling and tighter cross-functional collaboration, particularly in uncharted, high-impact areas Support monthly forecasting and reporting processes — analyze financial results, distill key trends, and communicate risks and opportunities to influence business outcomes; assist in preparation of monthly and quarterly management reporting including variance analysis, dashboards, and Board materials Build and own our growing playbook of financial models and reports, ensuring quality, timeliness, and accuracy across in-depth analyses

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem---homebuyers and sellers, lenders, title and escrow agents, and real estate agents---onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU'LL WORK ON The FP&A team at Qualia is the analytical engine of the Finance organization. We own the company's planning and forecasting processes, serve as trusted business partners to functional leaders, and produce the financial insights that inform our most important strategic decisions, all in an environment where AI is actively reshaping how we work. As a Senior Manager of FP&A, you will be a central force in shaping how Qualia plans, forecasts, and makes decisions as we scale. You will own high-impact analytical workstreams end-to-end, serve as the go-to financial partner for senior functional leaders, and help set the direction for how the FP&A function evolves, from the models we build to the processes we run to the way we leverage AI to work smarter. This is a high-visibility individual contributor role with direct exposure to executive and C-level audiences. RESPONSIBILITIES Own Qualia's planning and forecasting infrastructure : Lead the design, build, and continuous improvement of our operating model, annual plan, and long-range financial plan, ensuring they accurately reflect the current and future state of the business Drive financial rigor at the executive level: Lead preparation of monthly and quarterly management reporting, Board materials, and investor-facing financial packages; distill complex financial results into clear narratives that drive action at the lea

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. About the Team Appian Customer Success is obsessed with delivering exceptional customer outcomes and high-velocity business impact. Our Public Sector team acts as a trusted strategic partner to government agencies and organizations, bringing their most vital ideas to life. By joining this high-performing team, you will strengthen and evolve your technical consulting skills while accelerating the adoption of our AI-Powered Process Automation platform across critical public infrastructure. As a Senior Consultant, you will step into a pivotal leadership role at the intersection of public sector strategy and modern technical innovation. This is your opportunity to move beyond isolated coding tasks and own the end-to-end delivery of highly visible, complex enterprise systems. You will lead small engineering teams, architect robust integrations, and serve as a trusted technical advisor to client stakeholders - enabling enterprise organizations to achieve true Enterprise-Grade Orchestration . What You’ll Do Lead Project Delivery: Oversee and drive the entire project lifecycle to define, design, and implement custom automation solutions using the Appian platform. Mentor & Develop Talent: Actively lead, coach, and mentor junior consultants through fast-paced software implementations, fostering a culture of technical excellence. Architect Integrations: Build seamless data pipelines and robust APIs to integrate multiple external enterprise systems using REST, SOAP, and JDBC connections. Drive Data Modeling: Design and launch sophisticated relational data

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior leader to lead Revenue Strategy & Operations for Reddit’s Global Large Customer Sales (LCS) channel. This role will serve as the operating partner to the global LCS leadership team, helping translate company and channel strategy into clear goals, disciplined execution, and measurable revenue outcomes across regions, verticals, and customer segments. You will own the strategy and operations that drive LCS growth—from annual and quarterly planning through weekly performance management, forecasting, resource allocation, and execution of the highest-impact growth initiatives. You will partner closely with Sales, Finance, Marketing, Product, Business Operations, and other cross-functional leaders to improve sales productivity, unlock new pockets of demand, and scale a globally consistent go-to-market model. This is one role that will lead Strategy & Operations for the Global Large Customer Sales channel. The role is required to be based within commuting distance (50mi) of one of our North America sales hubs in San Francisco, Los Angeles, Chicago, New York, or Toronto. Responsibilities: Serve as a trusted strategic partner to the Global LCS leadership team, shaping channel strategy, priorities, operating model, and investment decisions. Lead the annual and quarterly planning processes for Global LCS, partnering with Finance as well as regional and vertical sales leaders to build credible goals, capacity plans, coverage models, and resource recommendations. Establish and run the global business

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior leader to lead Revenue Strategy & Operations for Reddit’s Global Large Customer Sales (LCS) channel. This role will serve as the operating partner to the global LCS leadership team, helping translate company and channel strategy into clear goals, disciplined execution, and measurable revenue outcomes across regions, verticals, and customer segments. You will own the strategy and operations that drive LCS growth—from annual and quarterly planning through weekly performance management, forecasting, resource allocation, and execution of the highest-impact growth initiatives. You will partner closely with Sales, Finance, Marketing, Product, Business Operations, and other cross-functional leaders to improve sales productivity, unlock new pockets of demand, and scale a globally consistent go-to-market model. This is one role that will lead Strategy & Operations for the Global Large Customer Sales channel. The role is required to be based within commuting distance (50mi) of one of our North America sales hubs in San Francisco, Los Angeles, Chicago, New York, or Toronto. Responsibilities: Serve as a trusted strategic partner to the Global LCS leadership team, shaping channel strategy, priorities, operating model, and investment decisions. Lead the annual and quarterly planning processes for Global LCS, partnering with Finance as well as regional and vertical sales leaders to build credible goals, capacity plans, coverage models, and resource recommendations. Establish and run the global business

You will: Manage the growth program from end to end, including top-of-the-funnel growth / recruiting campaigns, applications processing, and hiring and onboarding Represent and champion the brand, promoting its value proposition to candidates and stakeholders, driving engagement, and taking ownership of process improvements that streamline growth pipelines and support program success Optimize full growth funnel for conversion and experience Build and lead new growth recruiting campaigns and channels to meet business goals Be the subject matter expert for all recruiting systems (ATS: Greenhouse), tools, and processes, and provide training/onboarding as needed Own internal reporting and analytics, and keeping all the internal hiring data clean and up-to-date in our systems Be the strategic driver behind on impactful initiatives to improve the workflow, data infrastructure and reporting Proactively flag discrepancies in hiring plans, interview process, JDs, offer details, etc. and maintain data integrity and operational excellence within the team Work from the San Francisco office, with occasional travel for onsite growth events. Ideally you’d have: Minimum of 3-7 years of experience working in Growth, Recruiting or RecOps at a rapidly growing company Extensive experience using Greenhouse as a Site Admin (user permissions, approvals, custom options) and pulling ad hoc reports using our internal TA tools (report connector, reporting capabilities, and limitations) Strong knowledge of Gsuite (VLOOKUP, pivot tables, data validation, conditional statements and formatting, filters, etc.) Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences Must have a deep understanding of Growth / Recruiting Pipelines, Funnels and Conversion metrics Demonstrated excellent project management skills, ability to pull and manipulate data sets, critically analyze existing processes, and identify opportunities for process improvement Able to

About the role: We are looking for a talented and experienced University Recruiter, Contractor based in San Francisco to join our team and participate in the hiring process from beginning to end. You’ll be working directly with our hiring partners, recruiters and candidates to create a personal and positive recruiting experience. You will: Support Scale’s University Recruiting strategy: assist with the hiring process for our Internship and New Grad programs. Manage the full-cycle recruiting strategy and process including, but not limited to, sourcing, screening, interview process, closing and more. Understand what makes a great profile for our University roles and drive strategic sourcing and candidate engagement strategies to build strong and diverse pools of candidates. Cultivate relationships with students across partnered universities and develop positive relationships with faculty, staff, and student organizations as part of a well-researched recruiting strategy. Collaborate closely with various leaders across the organization in understanding and meeting their intern and new grad hiring needs. Work from the San Francisco office 3x per week. You have: 4+ years of full-cycle university recruiting experience in a fast-paced, high-growth environment, managing high-volume hiring. Experience in managing/leading all aspects of recruiting strategy for hard-to-fill, competitive positions. Passionate about campus recruiting and strong believer in bringing early career talent to Scale. Excellent verbal and written communication skills. Excellent negotiation tactics, and market knowledge. You have the ability to work with multiple departments, including remote teams, and build strong personal networks across our complex organization. Proven ability in attracting and sourcing both passive and active candidates (aka future graduates) across Bachelors, Masters, and PhD programs. Utilizing data to perform analysis, garner insights, and set goals. A flexible, adapt

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined du

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineeri

At Scale, we believe that AI will dramatically improve the world, and our mission is to accelerate the development of AI. We’re looking for a Field Marketing and Events leader to continue to build and manage Scale’s robust Gen AI and Research field marketing and events program, including but not limited to Scale hosted executive events, Scale hosted practitioner events and meetups, research conferences, and our annual flagship conference, AI Leadership Summit. You will join a rapidly growing team with the opportunity to manage and execute events from start to finish, drive lead generation and pipeline growth, and plan event programming with the largest names in AI. The successful candidate will have a solid understanding of technology, model builder, and research markets, strong project management skills, a strategic mindset, ability to manage and grow a team, and a passion for AI & technology. You will: Own annual planning for all Gen AI and Research events including strategy and budget Establish event activities in line with sales goals and deal acceleration, prioritizing goals from the go-to-market leadership and business development teams on event location and audience Manage team of field marketing and events managers who will execute on planning and logistics. This role should have a player-coach mentality and ability to also execute on nuts to bolts planning for all executive dinners, meetups, happy hours, sponsored trade shows, and hosted conferences Manage contractor relationships including event production firms and outside vendors, and event budgets Align with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting Track event campaign performance, measuring ROI, results, and metrics through Salesforce and own any course correction for events that are not performing Own all aspects of Scale hosted conference, Scale AI Base Camp, including venue selection, vendor management, logistics, speaker

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. Role Overview As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows. Key Responsibilities Customer Integration & Deployment Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs) Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows Deploy and configure AI models and agents within customer security and compliance boundaries AI Agent Development Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation Architect multi-agent systems that orchestrate between different models, tools, and data sources Implement evaluation frameworks to measure agent performance and iterate toward business objectives Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement Prompt Engineering & Optimization Create sophisticate