Partner Director in Canada

About Us At BGBx , we're driven by a simple idea: breakthrough thinking creates breakthrough impact. As an independent commercial solutions partner to pharmaceutical and life science companies, we bring together strategists, scientists, communicators, creatives, technologists, and data experts to tackle some of healthcare's most important challenges. Our teams work across consulting and communications to help clients shape strategy, launch innovations, engage stakeholders, and drive meaningful results throughout the product lifecycle. The work is complex, fast-moving, and deeply connected to improving lives, creating opportunities for curious minds to make a real difference every day. If you're energized by collaboration, inspired by innovation, and motivated by work that matters, you'll find a place to grow, contribute, and make a meaningful impact at BGBx. Senior Medical Editor Position Overview The Senior Medical Editor ensures the quality, accuracy, and compliance of medical content across various promotional and educational materials. This role involves reviewing materials for scientific accuracy, adherence to style guides, and consistency while mentoring junior editors. Responsibilities: Edit and proofread scientific and promotional content for grammar, consistency, and accuracy Ensure adherence to AMA style, brand guidelines, and regulatory requirements Collaborate with medical, creative, and account teams to refine content Verify references and citations for scientific accuracy and compliance Provide final proofreading and quality control of client deliverables Support the development and implementation of editorial processes and best practices Mentor junior editors and provide training on industry and editorial standards Qualifications Bachelor’s or advanced degree in English, Journalism, Life Sciences, or a related field

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

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

About the role: Are you a relationship builder? Are you curious to learn about customers and passionate about giving them the best customer experience? Are you a self starter and thrive in a dynamic and fast-paced environment where you can make a difference in creating playbooks and processes? We’re looking for a Renewals Manager to be the post-sales quarterback for our corporate customers. In this role, you will be responsible for renewing and generating expansion opportunities. You will work with your Sigma colleagues to maximize customer value and to grow their business. Responsibilities: Develop professional and personal relationships with key stakeholders within each customer account Partner with Customer Success to minimize attrition, identify growth opportunities, drive adoption and increase usage Work with customers to create a strategy for achieving goals and assist Customer Success with removing barriers to business growth Collaborate closely with internal stakeholders such as Product, Engineering, and Alliances. Be able to communicate feedback and insights to the business. to improve product and customer experience Serve as an advocate for our customers and set appropriate expectations Leverage data to effectively guide meaningful customer conversations Facilitate business reviews to accomplish goals and opportunities Help identify opportunities for improvement in existing processes Required Skills / Experience: 2+ years working in Renewals / Customer Success role Ability to react and adapt to potential rapid shifts in priorities and organizational policies Strong negotiation and objection handling skills that allow for value-based contract negotiations Strong process management and detail oriented skills Strong customer management skills, including soft skills Additional Job details The base salary range for this position is $100k - 120k annually. Compensation may vary outside of this range depending on a number of factors, incl

Summary We are looking for a detail-oriented and dedicated Administrative Assistant to provide support to our Portfolio Managers and Analysts within our Point72 office in San Francisco, CA. What you’ll do The Administrative Assistant will provide administrative support to one or several investment teams including Portfolio Managers and Research Analysts. Specifically, you will: Strategically partner with investment team(s) to help alleviate workload and create efficiencies Manage calendars and conference calls, make appointments, book conference rooms, organize meetings Coordinate domestic and international travel arrangements Create and process expense reports Manage phone coverage for team and set up conference calls as needed Develop and maintain strong working relationships with internal and external partners Work on special projects as needed What’s required 2+ years of relevant work experience Bachelor’s degree from an accredited university Capacity to multitask, effectively prioritize and adapt to an ever-changing work environment Bring a “roll up your sleeves and get the work done” mentality and a sense of urgency and attention to detail to requests and projects Excellent communication and ability to interact with people of all levels in a confident and professional manner Strong attention to detail; can keep track of multiple projects and work through abstract issues in an organized and efficient manner Proficient knowledge of Microsoft Outlook, Excel, and Word Strong industry knowledge preferred Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer Opportunities Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community Mental and physical wellness programs Tuition assistance A 401(k) savings program with a

At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s product marketing team is responsible for developing and executing strategies that drive awareness and engagement for Scale’s offerings amongst our core audiences. We take a data-driven approach to understand our customers’ needs and challenges, ensuring that their voices are reflected in product development and messaging. We partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. We aim to provide valuable insights and resources that help our customers execute on their AI transformation journey. This role will focus on developing and optimizing vertical-specific messaging and content for Scale’s applications business to ensure our messaging resonates with core buyers across verticals. The ideal candidate combines strategic thinking with hands-on execution. You will: Develop clear, compelling messaging for enterprise offerings tailored to key personas within target verticals Create marketing assets, including slide decks, videos, blog posts, and one-pagers, that effectively communicate our value propositions to vertical leaders and support our sales team’s pursuits Lead positioning and sales enablement efforts to drive awareness and engagement for Scale’s offerings. Drive cross-functional marketing programs around target verticals, in conjunction with product, engineering, sales, and growth marketing to create a cohesive customer experience and contribute to pipeline targets Collaborate with field marketing and events teams to develop vertical-specific event strategies, content, and experiences that drive engagement within customer and target accounts Drive customer marketing efforts, creating both strategy and tactics to maximize the value Scale and customers get from our shared success, including case studies, testimonials, visual assets and event particip

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will leading initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats such as Operator, Product Manager and customer-facing Engagement Manager. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to an accelerated career progression. You will: Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market) Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives Own the execution of our data labeling operations for strategic projects Give regular progress updates to Scale’s executive team Work on some of the most impactful problems at the company Ideally, you’d have: Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). 2+ years of experience leading a team, developing product or operational processes, or as a SWE. Strong problem solving capabilities (experience working on operational challenges or as a consultant is a plus). Entrepreneurial experience and mindset - you are excited about building things from scratch 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 during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted e

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 the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We're looking for an experienced technical operator to lead live testing, deployment, and operational validation of cutting-edge autonomous technologies. This role sits at the intersection of engineering and operations, helping ensure new capabilities are safely deployed, thoroughly evaluated, and translated into actionable engineering feedback. You’re excited about this opportunity because you will… Lead and oversee live testing across transport, deployment, and safety validation. Partner closely with hardware, software, and business operations teams to validate new product capabilities while providing guidance and mentorship to junior team members. Conduct and document complex tests for autonomous technologies, evaluating robot behavior, identifying issues, and validating new features and requirements. Provide actionable technical feedback to engineering teams based on test outcomes. Exercise technical judgment during live testing by evaluating robot behavior, assessing operational risk, distinguishing expected behavior from product defects, and determining when engineering escalation or additional validation is required. Develop and implement testing processes, protocols, and checklists that improve the safety, efficiency, and reliability of new products. Utilize internal tools to analyze logs, investigate issues, document findings, and track issues through resolution. Mentor junior team members in structured debugging and documentation practices. Conduct detailed analyses and generate comprehensive reports that identify trends, summarize findings, and provide strategic recommendations to engineering and operations partners. We’re excited about you because… 2+ years of exper

Position Overview: The Services team has unrivalled expertise across corporate governance, audit, risk, compliance, and regulatory environments in many sectors. They have the scale and reach to deliver significant change smoothly, leveraging solution design and delivery to provide global, dynamic, flexible, and reliable outcomes with lasting results. Their vision is to partner as trusted advisors, working in joint teams that complement client strengths with the right mix of talent. A Delivery Analyst is an early‑career consultant in the Services team who supports delivery of audit, risk, and compliance solutions for clients. They assist with discovery and requirements capture by reviewing client documentation and helping lead discovery workshops to understand current processes and needs. Guided by senior advisors, they translate requirements into technical design documents, configure and iterate Diligent One prototypes, deliver enablement training, maintain issue logs, and follow the standard project methodology to deliver on time and in scope. Key Responsibilities Utilize your product and domain expertise to deliver customer requests and create a delightful customer experience. Be responsible for the timely and quality delivery of the services requested by customers. Collaborate with Customer Success Managers, Senior Managers and Managers to ensure any new service requests are handled appropriately or routed the request to the correct teams. Document and maintain the standard operating procedures for performing the customer-specific request. Consult with the global implementation teams and customer success teams to provide technical guidance to the customer to leverage more value from the product. Required Experience/Skills Ability to effectively engage customer per

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data and analytics are at the heart of Lyft's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization. We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication. You will report to a Data Science Manager. Responsibilities Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions Partner with product managers, engineers, and operators to translate the data into decisions and action Communicate findings to stakeholders in a clear and concise manner Experience Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relev

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. This is a contract position through our staffing partner Magnit. 108,000.00 - 135,000.00 - 162,000.00 CAD Annual This role is not eligible for the Okta-sponsored benefits listed below. Magnit will provide any locally required benefits. Okta seeks a skilled Senior Recruiter to drive full-lifecycle recruitment and build strategic talent pipelines for our Engineering organization across North America. As part of our AMER Tech Recruiting team, you will be a trusted talent advisor responsible for sourcing, engaging, and delivering top-tier engineering talent while maintaining an "always recruiting" mindset in a fast-paced, high-growth environment. What You'll Be Doing Own full-lifecycle recruitment for Engineering and technical roles (Software Engineering, Site Reliability, Security, TPM, Product) across US & Canada, managing a flexible req load that scales with business priorities. Partner strategically with hiring managers and leadership to understand talent needs, define role scope, advise on talent gap mitigation, and challenge assumptions to ensure hiring decisions strengthen long-term organizational capability. Build and execute talent strategies that balance external hiring with internal mobility, creating sustainable pipelines that reflect commitment to diversity, inclusion, and high-performing engineering culture. Drive metrics-informed recruiting decisions by developing KPIs, analyzing recruiting data, and using insights to optimi

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a qualitative User Experience Research Intern to join our team, which aspires to elevate the user experience for our drivers and riders across 300+ cities nationwide. You will conduct research studies, as well as participate in studies alongside more senior researchers from which you’ll gain strong mentorship. You will partner with Design, Product Management, Analytics, and Engineering in order to derive deep insights about our users’ behaviors and attitudes, and communicate results and actionable recommendations across the company. Interns contribute to user-facing products, working side-by-side with top User Experience Research team members in the industry while having autonomy from the get-go. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Design and conduct studies across key Lyft product areas -- independently and in conjunction with more senior researchers. You will utilize methods such as ethnographic & field research, diary studies, surveys, user/usability testing (remote and in-person), guerrilla research, and any other methods you find impactful Review, analyze, and communicate qualitative and/or quantitative data to generate tactical and strategic insights, as well as actionable recommendations which drive product innovation and design improvements for users Experience: Currently pursuing a Master's or PhD degree in Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, or a related field from a university in Canada with a graduation date between December 2027 and Summer 2028 (required) Available during Summer 2027 for an internship in Toronto Extraordinary organizational skills and meticulous eye for detail Str