Partner Sales Desk Specialist Jobs

We are looking for a Senior Payroll Specialist to serve as a subject matter expert on our Global Payroll team, with ownership of payroll operations across LATAM (Brazil and Mexico). Reporting to the Senior Payroll Manager, this role partners closely with HR, Finance, and external vendors to ensure accurate, compliant, and timely payroll delivery. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities: Prepare and review advance, monthly and supplemental payrolls for our LATAM operations including salary, equity, benefits, and variable pay Manage Brazil 13º salário (13th month salary), férias (vacation), and rescisão (termination) calculations and payments Manage Mexico Christmas Bonus, profit sharing and terminations calculations and payments Single point of contact (POC) for all LATAM issues. Resolve all issues in a timely manner and within global payroll SLAs Reconcile payroll and support monthly/quarterly/annual accounting close processes Build internal LATAM payroll expertise, reducing reliance on external consultants through hands-on guidance and more efficient processes Issue union due slips and submit for payment Prepare the income tax DARF and reconcile the amounts according to the appropriate period Deep, current knowledge of Brazilian labor law (CLT), social security and tax obligations, and the eSocial/FGTS Digital ecosystem Own LATAM payroll-related employee lifecycle processes, including onboarding, vacations and terminations, ensuring accurate and timely execution Partner with Legal, Finance, and HR on termination processing, CBA (Dissidio) and any other processes as required Ensure we are meeting annual compliance requirements; assist the Payroll Tax Team with any audits and year-end compliance reporting Train junior payroll staff; document and continuously improve payroll SOPs Automate processes to enhance scalability and efficiency of payroll operations Ensure SOX compliance with all pa

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. Technical Architect: Company Description Okta is the leading independent identity partner. We enable organizations to securely connect the right people and technologies, providing identity solutions that protect workforce and customer identities across a rapidly evolving technology landscape. The P0 Threat Research organization operates at the intersection of adversary research, threat hunting, detection engineering, data science, and product innovation. Our mission is to understand modern adversaries better than anyone else and make that knowledge actionable for our customers and products. Position Description Architect, Threat Research will help define and drive the technical vision for Okta's threat research efforts. This role is focused on understanding how modern adversaries operate, developing new methodologies for discovering and analyzing attacker behavior, and translating that research into actionable outcomes for our customers and products. Initial areas of emphasis include identity, cloud, SaaS, AI, and other emerging technologies, but success in this role is rooted in deep threat research expertise and the ability to rapidly develop expertise in new technologies and attack surfaces. The Architect will serve as a senior technical leader within the Threat Research organization. This individual will work closely with threat researchers, threat hunters, detection engineers, data scientists, product teams, engineering teams, and other senior t

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

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and de

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 About ClickUp ClickUp is the everything app for work, built to help teams plan, collaborate, and execute in one place. Our customers rely on ClickUp to simplify complexity, move faster, and build better operating systems for work across teams. The Role We’re hiring a Senior Technical Account Manager, Strategic Services to partner with strategic customers as they implement, expand, and mature their use of ClickUp. This role sits within Professional Services and is ideal for someone who can blend customer leadership, workflow design, technical problem solving, and practical change management. You’ll help customers move from fragmented processes to scalable ways of working in ClickUp. That means leading complex implementations, guiding adoption across multiple stakeholder groups, identifying opportunities for automation and AI, and helping customers realize measurable business value from the platform. What You’ll Do Lead strategic implementations and customer transformations Own complex customer engagements from discovery through rollout, enablement, and ongoing optimization. Diagnose current-state workflows, identify friction points, and design scalable future-state solutions in ClickUp. Guide customers through governance, architecture, process design, and rollout planning across multiple teams or business units. Help customers recover momentum when implementations stall, priorities shift, or stakeholder alignment breaks down. Drive adoption, value realization, and account health Partner closely with customer stakeholders to define success measures, adoption milestones, and practical next steps. Translat

About the Team The Applied organization brings OpenAI’s most advanced technology to the world through products like ChatGPT and the APIs that power a growing ecosystem of developer and enterprise applications. Data Engineering builds and operates the trustworthy, secure, and reliable data systems that power decisions across OpenAI. About the Role We’re looking for a Data Engineering Manager to lead the Growth & Revenue data engineering team. This leader will own the data strategy and execution for the data subject areas spanning growth accounting across all product surfaces, product partnerships, checkout, billing, payments, revenue, and monetization, helping OpenAI understand how people adopt, engage with, and pay for our products. You will partner closely with several Data Science, Business, and Engineering partners to connect product behavior to trustworthy subscriber, payment, and revenue measurement. In this role, you will: Build, manage, and grow a high-performing, inclusive team across the Growth & Revenue data subject areas. Define the data strategy for all the data subject areas you own. Deliver durable, well-modeled data products that connect product behavior, subscription state, checkout events, payment outcomes, and revenue. Establish trusted metric definitions and data quality standards so product, growth, finance, and executive leaders can make fast, consistent decisions. Partner with Data Science and Product teams to support experimentation, causal measurement, funnel analysis, and scalable self-serve analytics. Partner with Finance and Financial Engineering to ensure analytical revenue views reconcile to financial truth and production billing systems. Raise operational excellence for critical pipelines, including reliability, observability, privacy, governance, and incident response. Set a clear roadmap, make principled tradeoffs, and communicate progress and risk across technical and business stakeholders. You might thrive in this role if yo

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for a Staff Qualitative researcher to play a crucial role in the Pinterest monetization team to scope, execute research and uncover insights. We are looking for a talented and creative storyteller who ideally has had experience working in B2B, digital e-commerce or advertising experiences and who can bring actionable insights to life to drive product impact What you’ll do: Scope, prioritize, execute research using various qualitative methodologies for one or more sub areas of the monetization product Identify and articulate gaps in our understanding of the monetization products they support that can (directly or indirectly) impact our products Collaborates effectively with researches across Pinterest and builds strong relationships as a strategic thought partner with key senior cross functional partners (across

About the Team pAGI Infra team builds and operates the systems that make large-scale model training and evaluation reliable, efficient, and easy to run. Our work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. We partner closely with researchers and engineering teams to turn new research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from an experiment to a validated model. About the Role We’re looking for an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You’ll own projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers. You might build a shared grading service, improve resource allocation across workloads, or bring a new training stack into production — directly improving how quickly and reliably research moves forward. In this role, you will: Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency. Develop shared inference and grading platforms with automated capacity management, health monitoring, and visibility into performance. Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures. Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance. Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention. You might thrive in this role if you: Are excited about the potential of personal AGI and want to build the infrastructure that enables it. Have strong software engineering fundamentals and experience building or operating large-scal

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Marketing team at Mixpanel is responsible for pipeline generation across paid, website, and product-led channels. This role sits within that team as its dedicated engineering owner — accountable for the technical systems that power how people discover, evaluate, and request Mixpanel. You are the only engineer dedicated to this surface, which means you set its technical direction rather than execute against someone else's. You work directly with our marketing teams and partner with Growth Engineering on shared systems. Website design and content are handled by our web design team; your focus is the technical infrastructure, integrations, and systems that sit underneath. About the Role As our Marketing Systems Engineer, you own the technical layer of our marketing engine: the integrations and infrastructure that power our marketing website. The website is our primary lead capture system that turns traffic into pipeline. You own the systems that connect our marketing surface to Salesforce, Customer.io/Hubspot, and our broader GTM stack. You set the technical roadmap for this surface, move fast, measure impact, and treat reliability as a first-class concern rather than a cleanup task.You will also collaborate with Growth Engineering on shared infrastructure including handraiser routing and tracking. Responsibilities Own the technical health of the Mixpanel marketing website: page speed, WCAG compliance, Google Tag Manager, technical SEO, and third-party integrations including Qualified, Optimizely, and TrustArc. Own the integrations between the marketing website and our GTM stack t

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Marketing team at Mixpanel is responsible for pipeline generation across paid, website, and product-led channels. This role sits within that team as its dedicated engineering owner — accountable for the technical systems that power how people discover, evaluate, and request Mixpanel. You are the only engineer dedicated to this surface, which means you set its technical direction rather than execute against someone else's. You work directly with our marketing teams and partner with Growth Engineering on shared systems. Website design and content are handled by our web design team; your focus is the technical infrastructure, integrations, and systems that sit underneath. About the Role As our Marketing Systems Engineer, you own the technical layer of our marketing engine: the integrations and infrastructure that power our marketing website. The website is our primary lead capture system that turns traffic into pipeline. You own the systems that connect our marketing surface to Salesforce, Customer.io/Hubspot, and our broader GTM stack. You set the technical roadmap for this surface, move fast, measure impact, and treat reliability as a first-class concern rather than a cleanup task.You will also collaborate with Growth Engineering on shared infrastructure including handraiser routing and tracking. Responsibilities Own the technical health of the Mixpanel marketing website: page speed, WCAG compliance, Google Tag Manager, technical SEO, and third-party integrations including Qualified, Optimizely, and TrustArc. Own the integrations between the marketing website and our GTM stack t

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team The Network Security team is responsible for securing GoDaddy's global hybrid infrastructure across data centres, cloud, edge, and remote-access environments. We partner across Security, Infrastructure, Cloud, and Engineering teams to build scalable, resilient, and secure solutions that support the business. As a Principal Network Security Engineer, you'll act as a senior technical leader, helping define network security strategy, influence architecture across teams, and drive security outcomes at enterprise scale through technical expertise, systems thinking, and cross-functional leadership. What you'll get to do... Define and drive network security architecture across hybrid environments, including data centres, cloud, edge, and remote-access technologies Design trust boundaries, segmentation strategies, secure connectivity patterns, and network controls that reduce risk and improve security posture Lead complex technical initiatives, migrations, and architectural decisions while balancing security, reliability, performance, and operational requirements Establish scalable approaches for policy governance, automation, monitoring, telemetry, and security control validation Partner across engineering organizations to drive large-scale initiatives, mentor engineers, and influence technical direction through architecture reviews and technical leadership Your experience should include... 10+ years of experience in Network Security Engineering, Network Architecture, or Security Engineering, including ownership of enterprise-scale secu

About the Team OpenAI’s Legal team helps advance our mission by tackling novel legal issues in AI. Our team brings together professionals across technology, privacy, intellectual property, corporate, employment, tax, regulatory, and litigation. Our regulatory compliance work turns legal requirements into practical programs that support responsible AI development and deployment. About the Role As a Legal Program Manager focused on regulatory compliance, you will build and manage cross-functional programs that translate counsel’s guidance into practical, sustainable operations. Your initial focus may include content moderation and/or frontier AI governance, with the mix shaped by team priorities and your strengths. You will partner with internal and external counsel, other legal program managers, and technical and business teams to coordinate implementation, evidence collection, reporting, and ongoing compliance. You’ll build repeatable systems that scale across regulations, products, and jurisdictions, helping teams navigate emerging requirements with clarity and sound judgment. This full-time role is based in San Francisco, CA, or New York, NY. In this role, you will: Lead regulatory compliance programs end to end: define scope, owners, milestones, dependencies, risks, and escalation paths, and drive execution with counsel and cross-functional partners. Translate counsel’s regulatory guidance into repeatable workflows, controls, and documentation. Depending on your portfolio, this may include content moderation disclosures, transparency reporting, reporting and appeals workflows, or frontier AI model launch readiness, evaluation and risk-management evidence, and incident reporting. Build strong partnerships across Product, Engineering, User Operations, Governance, Risk and Compliance (GRC), Global Affairs, Communications, and Go-to-Market to align program priorities and deliverables. Support regulatory inquiries, audits and investigations with counsel, organizing ev

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS). Join the tvScientific team as an Account Manager, where you'll lead strategic client relationships, drive revenue growth, and ensure client success on our cutting-edge platform. As an Account Manager on our team, you'll be responsible for managing a portfolio of key client accounts, developing and executing strategic account plans, and driving revenue growth through upsell, cross-sell, and retention initiatives. You'll levera

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

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. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and