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About the Team The New Verticals Finance & Strategy team supports DoorDash’s expansion into categories beyond restaurants, which is a critical growth driver for the overall company. We enable our businesses to grow faster while becoming more profitable. We do this by creating quarterly and annual plans, holding our stakeholders accountable to goals, and providing strategic insights on our business to understand past trends and identify the best path forward. About the Role We're hiring a Senior Associate to help lead the day-to-day financial reporting and closing processes for our New Verticals business. In this role, you'll own recurring reporting cycles, including monthly close, weekly business reviews, and cross-team planning processes, partnering closely with Accounting, Data Engineering, and business teams to keep our financial reporting accurate and on time every cycle. This is a highly detail-oriented, execution-focused role: you'll spend most of your time working directly in the numbers, with real opportunities to build automation and process improvements along the way. You will report into a Manager on our New Verticals Finance team in our Finance & Strategy organization. You’re excited about this opportunity because you will… Own the monthly close and weekly reporting process for New Verticals, ensuring our financial data ties out accurately and on time every cycle. Build and maintain financial models and reporting tools that the broader Finance team relies on every week. Partner with Accounting, Data Engineering , and cross-functional business teams to investigate and resolve reporting discrepancies before they affect business decisions. Help modernize recurring reporting processes, including opportunities to use AI-powered tools to increase efficiency. Play a foundational role on a growing team, with room to take on more scope as you build expertise in the business. We’re excited about you because… You have 4+ years of experience in FP&A, cor

About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you’ll own the analytics strategy for DoorDash Ads for Restaurants—one of the company’s fastest-growing and most dynamic businesses. You’ll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you’ll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You’re excited about this opportunity because you will… Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods—such as co

About the Team As one of DoorDash's core operations teams, Customer Experience ensures that when issues arise across the platform, there is a reliable and effective support system in place. Our team designs, manages, and continuously improves DoorDash's global support network, with the goal of delivering a high-quality and consistent customer experience. This role sits within the Safety Customer Experience team, focused on the most critical and high-risk incidents on the platform. The team owns some of the most sensitive customer interactions at DoorDash, where thoughtful operational and product decisions directly improve customer trust and platform safety. About the Role You'll operate at the intersection of Product, Operations, and Customer Experience to improve how DoorDash prevents, identifies, and responds to the most critical safety incidents on the platform. You'll partner closely with Product, Policy, Analytics, and Operations to design scalable solutions that deliver accurate, timely support during customers' highest-stakes moments. This role requires a detail-oriented operator who can navigate complex problem spaces, design scalable processes, and execute with precision in a fast-paced environment. You’ll be expected to take ownership of ambiguous, high-stakes problems and translate them into structured, actionable solutions. You’re excited about this opportunity because you will… Drive Safety Strategy – Partner with cross-functional teams to identify and execute initiatives that improve how DoorDash prevents, identifies, and responds to safety incidents. Own End-to-End Experience – Design and optimize the full lifecycle of safety incident handling, including reporting, workflows, support execution, and tooling. Drive Data-Driven Decisions – Leverage data and case-level insights to identify root causes, measure performance, and prioritize opportunities to improve the safety customer experience. Influence Cross-Functionally – Collaborate with Product, Engin

About the Team Our sales and partner management teams are the heart and soul of DoorDash, enabling us to partner with top restaurants across the country to drive revenue and help our partners operate even better. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role As Senior Manager, Sales planning and strategy at DoorDash, you will play a pivotal role in executing against top company business objectives and help define our sales strategy and planning roadmap. You will be responsible for leading a team of sales planners and analysts. Your team’s responsibilities will range from strategic (designing incentives aligned to the company's goals and strategy, integrating new products into sales GTM strategy and building consensus among sales leadership) to operational/tactical (designing compensation plans, driving plan implementation and ensuring key metrics can be communicated, tracked and commissions calculated). You will bring a strategic mindset and deliver critical insights using analytical and technical support to the successful administration of sales incentive programs globally while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. Reporting to the Director of Sales Strategy and Planning, you will work closely with cross-functional teams to provide valuable insights and recommendations. This role will report to the Vice President of Revenue Operations within the Sales Strategy and Operations organization. You’re excited about this opportunity because you will be driving… Strategic Leadership : Lead a high-performing team of sales planners and analysts to to own the development, implementation and administration of new and existing sales incentive structures for our SMB Post Sales team. Cross-functional Collaboration : Work closely with cross-functional teams, including Sales, Marketing, O

We're looking for a Revenue Enablement Manager for our Sales Office to own the enablement experience for Hootsuite's global seller community of Account Executives, Sales Development Representatives, and partner-facing roles. This is a hands-on, high-impact position responsible for translating Hootsuite's enterprise Go-To-Market strategy into the programs, content, and skills that give our sellers a competitive edge. This role works at the intersection of strategy and execution building the programs, playbooks, coaching frameworks, and learning systems that directly influence how quickly and effectively our sellers perform. The measure of this role is field impact: quota attainment, pipeline, and win rates. This role is open in USA and Canada in provinces and states we can legally hire in and will report into the Chief of Staff, Revenue. WHAT YOU’LL DO Develop and maintain sales playbooks, talk tracks, frameworks, and competitive assets in close partnership with Marketing, ensuring sellers always have current, field-tested materials at the moment they need it. Translate Hootsuite's GTM positioning and value-based selling methodology into training programs that are practical, repeatable, and directly applicable to driving active pipeline. Build and manage a coaching cadence for the seller community, leveraging AI to surface conversation intelligence insights, identify skill gaps, and create targeted coaching interventions in partnership with frontline sales managers. Design and deliver enablement programs for operational launches, GTM plays, and strategic initiatives in coordination with Product Marketing, RevOps, and Sales Leadership to ensure field readiness ahead of each launch. Partner with RevOps to drive adoption of new tools, processes, and CRM workflows, translating operational changes into clear, field-facing learning experiences that minimize friction and accelerate uptake. Maintain a continuous learning rhythm for tenured sellers through micro-learning, pee

We're looking for a Revenue Enablement Manager for our Sales Office to own the enablement experience for Hootsuite's global seller community of Account Executives, Sales Development Representatives, and partner-facing roles. This is a hands-on, high-impact position responsible for translating Hootsuite's enterprise Go-To-Market strategy into the programs, content, and skills that give our sellers a competitive edge. This role works at the intersection of strategy and execution building the programs, playbooks, coaching frameworks, and learning systems that directly influence how quickly and effectively our sellers perform. The measure of this role is field impact: quota attainment, pipeline, and win rates. This role is open in USA and Canada in provinces and states we can legally hire in and will report into the Chief of Staff, Revenue. WHAT YOU’LL DO Develop and maintain sales playbooks, talk tracks, frameworks, and competitive assets in close partnership with Marketing, ensuring sellers always have current, field-tested materials at the moment they need it. Translate Hootsuite's GTM positioning and value-based selling methodology into training programs that are practical, repeatable, and directly applicable to driving active pipeline. Build and manage a coaching cadence for the seller community, leveraging AI to surface conversation intelligence insights, identify skill gaps, and create targeted coaching interventions in partnership with frontline sales managers. Design and deliver enablement programs for operational launches, GTM plays, and strategic initiatives in coordination with Product Marketing, RevOps, and Sales Leadership to ensure field readiness ahead of each launch. Partner with RevOps to drive adoption of new tools, processes, and CRM workflows, translating operational changes into clear, field-facing learning experiences that minimize friction and accelerate uptake. Maintain a continuous learning rhythm for tenured sellers through micro-learning, pee

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 Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Senior Internal Trust and Protection Analyst will play a pivotal role in identifying, assessing, and mitigating risks posed by employees, contractors and others with access to sensitive information. This candidate will also help develop corporate strategy, review policy and procedures, evaluate insider risk control gaps, and develop training related to insider risk and intellectual property protection. This role acts as a subject matter expert throughout the entire insider risk lifecycle. It covers detection, triage, investigation, case adjudication, and mitigation. The position requires strong analytical, technical, and communication skills. It also demands proficiency in industry-standard investigation methods and working with cross-functional teams to improve Micron’s security posture. You will balance robust security measures with maintaining a positive work culture and ensuring the preventive actions do not erode employee trust and morale! Responsibilities: Lead end-to-end investigations into the most sophisticated and sensitive insider risk matters at Micron, including suspected intellectual property theft, major theft, trade secret misappropriation, economic espionage, unauthorized data ex-filtration, fraud, and workplace violence threats. Develop and implement comprehensive investigative plans, including evidence collection strategies, coordination with Micron's various investigation partners, and structured witness and subject interviews using advanced elicitation techniques.</

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 Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are on a mission to build machines that understand the world and make them safely accessible to all. Data quality is foundational to this process. Machines (or Large Language Models, to be exact) learn in similar ways to humans, by way of feedback. By labelling, ranking, auditing, and correcting model output, you will improve Large Language Models' performance for iterations to come, thus having a lasting impact on Cohere's technology. We are hiring Generalist professionals with broad backgrounds that span multiple consumer-facing or personal domains. This is a judgment-driven role, not passive data entry. You will review, assess, and provide structured feedback across a broad and evolving range of tasks, evaluating, stress-testing, and improving our models on English-language data spanning multiple modalities (text, image, and structured formats such as JSON, CSV/TSV, and Markdown). This is a great opportunity for professionals with strong analytical skills to contribute to high-impact annotation projects. Please Note: This is a part-time independent contractor position available within Canada only. We seek ca

We’re looking for a Senior Customer Success Manager to support high-value customers in the assigned vertical by providing the tools and resources to achieve their business goals on social media. In this role, you’ll build, cultivate, and maintain influential relationships with your customers by leveraging your customer success experience and demonstrating expert-level competency in Hootsuite’s product, industry trends and best practices. You will drive business outcomes for your customers while being accountable for best-in-class user adoption, revenue retention and growth, and customer advocacy, guiding customers through their journey of social maturity. You will consistently and proactively review, refine and re-validate plans to ensure the customer gains full value from the product suite, the partnership, Hootsuite and social media as a channel. You will report to the Senior Manager, Customer Success. WHAT YOU’LL DO: Lead day to day relationship management for a book of business of high-value customers (Fortune 1000 sized businesses); guide customers to success on their social journey with Hootsuite’s Enterprise and partner products. Build and maintain influential relationships with customers with highly complex use cases in the assigned vertical(s), from end users through to executive sponsors, ensuring they have a consistent, best-in-class experience in every interaction. Cultivate and demonstrate a high level of expertise in Hootsuite's products, social media and your assigned vertical(s) by keeping up with industry trends and best practices. Engage with customers in your assigned vertical(s) in a high-touch, multi-threaded approach, including ensuring successful onboarding, defining Mutual Account Plans with customers, leading success reviews, value workshops, and regular check-ins to drive engagement and ensure Hoosuite is delivering against customer's goals and outcomes according to the success plan. Activel

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. The Revenue Strategy and Operations Team Revenue Strategy & Operations sits at the heart of our organization, driving operational excellence across our entire revenue organization. As part of Okta's Business Operations team, we amplify the impact across our rapidly growing Sales, Presales, Customer Success, Technical Account Management (TAM), and Renewals organizations by ensuring each function has the insights, tools, and processes to run effectively and efficiently. The team establishes rigorous standards and processes, and scales customer-centric operations to support our growth targets across the entire customer lifecycle. The Customer Success Operations Manager Opportunity In this role, you will design, refine, and continuously optimize our Customer Success Management Systems, bridging the gap between corporate strategy and regional execution to maximize Net Revenue Retention (NRR). You'll establish operations rigor and standards across the CX organization, ensuring that global and local standards are consistently adhered to while supporting growth objectives. You’ll be the primary operational partner to the AMER VP of Customer Success and senior CX leadership, and will also coordinate with adjacent teams including Technical Account Management (TAM), Renewals, Support, and Professional Services. This is an ideal opportunity for an experienced, highly collaborative operations professional with exceptional analytical skills and a growth mindset to ma

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints. Design systems to speed up the time from idea to deployment of new models. Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency. Develop pipelines and automated processes to train and evaluate models in offline and online environments. Integrate ML models into production systems and ensure their scalability and reliability. Collaborate with product and strategy partners to propose, prioritize, and implement new product features. Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production. Must have two (2) years of experience in each of the following: ML algorithms and model architectures; Designing, training and evaluating machine learning models; Productionizing and deploying machine learning models at scale; Orchestrating data pipelines and leveraging large-s

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure. What you’ll do You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company. Responsibilities Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions. Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems. Working directly with product teams and ML engineers to improve their day-to-day pr