Business Operations Analyst Jobs

About the Role At Atomicwork, the People Partner role goes beyond partnering- it’s about building, operating, and scaling people programs with intent. This role is ideal for someone who enjoys being close to the business, working with senior leaders, and owning the entire employee lifecycle -from onboarding to exit-while also bringing structure, automation, and data-driven decision-making. You’ll work across multiple teams and geographies , including close collaboration with US-based stakeholders, and help shape a strong, values-led culture as the company scales. What You’ll Do Business Partnership & Stakeholder Management Partner closely with senior leaders across functions and locations Act as a trusted advisor on people matters, balancing business needs with empathy Enable leaders to make better people decisions through data and insights People Operations & Automation Own end-to-end employee lifecycle processes: onboarding, engagement, performance, transitions, and exits Build scalable, automated people processes suitable for a growing startup Ensure operational excellence while continuously improving systems and workflows Programs, Policies & Culture Design and implement HR programs aligned with Atomicwork’s cultural values Create and standardize policies that work across regions, while respecting local nuances Enable and strengthen culture through meaningful engagement initiatives, not surface-level activities Data, Problem Solving & Decision Making Take a data-driven approach to identify trends, diagnose problems, and recommend solutions Handle complex people situations with maturity, empathy, and sound judgment Bring structure to ambiguity and act decisively when required What We’re Lo

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and va

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the str

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the str

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the str

The Enterprise Account Executive will report to the Director of Enterprise GTM and will own revenue growth across a portfolio of Scale AI’s largest and most strategic enterprise customers. This role is focused on selling complex, highly technical AI solutions into F500 organizations, partnering with executive, technical, and operational stakeholders to drive long-term value and expansion. You will be responsible for full-cycle enterprise sales - from prospecting and deal strategy through close, renewal, and expansion - while serving as the quarterback across internal teams including Solutions Engineering, Product, Research, and Operations. This role requires strong ownership, executive presence, and the ability to navigate multi-stakeholder enterprise buying processes in a fast-paced environment. You Will: Own and drive relationships with Scale’s largest and most complex Fortune 500 prospects and customers Build trusted relationships with executive, technical, and operational stakeholders across multiple business units Develop and execute comprehensive account strategies to drive net-new revenue, expansion, and long-term partnerships Lead strategic deal planning and mutual close plans across new business, renewals, and expansions Partner closely with Solutions Engineering and Product teams to deliver compelling, technically credible value propositions Act as the voice of the customer internally, influencing product roadmap, research priorities, and delivery execution Maintain deep understanding of customer business goals, AI maturity, and industry trends to proactively identify opportunities Consistently communicate account health, pipeline, and forecast accuracy using Salesforce, Clari, and related tools Thrive in a fast-moving, multi-threaded environment while maintaining strong attention to detail and prioritization Ideally, You Will Have: 8+ years of enterprise sales or account management experience, including 2+ years selling deeply technical solutions to

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. Build and grow with us! Join Flexport as an Account Executive! This role has a robust compensation package: Base salary: $91,000-125,000; OTE: $182,000-250,000, uncapped accelerators, equity grants, competitive benefits and more. The Opportunity: We are seeking an Account Executive with experience in freight, end to end supply chain solutions and fulfillment to build and maintain a healthy book of business. You'll be part of a high-performing team where you’ll focus on building up Flexport’s brand while solving customer problems with tech-enabled supply chain and fulfillment solutions. A normal day might include leading a discovery call with a prospect to uncover more about their supply chain processes, project managing the complexities of a global supply chain, reviewing a customer’s growth strategy with their Flexport Operations Team, jumping on a plane and travel with a prospective client to tour a Flexport warehouse, or sharing your best practices with the broader sales team in a peer learning session. This role features a 50/50 compensation model (Base + Uncapped bonus), designed for high-performers to effectively maximize their earnings through a heavily ince

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Banking) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading retail and commercial banks. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across retail banking, commercial banking, and consumer finance organizations. You'll leverage deep banking sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into customer service, underwriting, risk, and back-office operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for retail and commercial banking decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across retail and commercial banks, and running the strategies to win them. By driving deployment of Anthropic's emerging products into banking enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across retail banking, commercial banking, and consumer finance organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Risk, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Revenue Effectiveness Who You Are Reporting to the Manager of Revenue Readiness, the Revenue Readiness Partner is responsible for preparing customer-facing teams to successfully bring new products, capabilities, and go-to-market strategies to market. You own readiness for assigned product domains and strategic business initiatives, partnering across Product, Product Marketing, Revenue Operations, Sales, Customer Success, Partnerships, and Marketing to ensure our frontline teams are prepared to confidently represent the Justworks platform. This is not a traditional training role. You think beyond courses and presentations. You design readiness strategies that combine communications, learning experiences, AI-powered guidance, playbooks, manager reinforcement, and field activation to drive adoption at scale. You influence launch planning long before products reach the field and continuously improve how enablement is delivered through data, automation, and modern learning experiences. You thrive in fast-paced environments, enjoy solving ambiguous problems, and are energized by partnering across the business to help customer-facing tea

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. Technology, Data and Intelligence (TDI) Team The Technology, Data and Intelligence team is on a mission to accelerate Okta’s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. The Opportunity The Architect, Finance and Legal Technologies will define and deliver the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence. This role will combine deep technical expertise with innovative thinking to modernize and optimize core enterprise systems — including NetSuite or Oracle (ERP) , Conga , Anaplan , and Xactly . The successful candidate will leverage AI, machine learning (ML) , NLP , and intelligent automation to reimagine traditional financial and legal processes/systems, enabling predictive insights, streamlined operations, and smarter compliance. What you’ll be doing Enterprise Solution Architecture: Define the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives. Lead the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise. Develop and maintain a multi-year roadmap for modernization across ERP, FP&A, Lega

About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role- As a Product Manager (Devices), you will own and lead the device charter across Soundbox, EDC, and emerging AI-enabled devices. You will set the strategy, define the roadmap, and work closely with CXOs to drive merchant experience, operational efficiency, and business impact. Key Responsibilities- - Define and own the device roadmap & vision aligned to Paytm’s growth strategy. - Lead end-to-end device lifecycle management: activation → monitoring → predictive health → refurb/replacement → end-of-life. - Drive AI-powered device innovation (merchant-facing AI device, multilingual bot integration). -Influence leadership and cross-functional priorities with data-backed recommendations. - Mentor PMs/Associate PMs and build a strong device product culture. - Track industry benchmarks and competitive landscape to position Paytm devices ahead of peers. What You’ll Contribute To - Large-scale AI adoption strategy. - Cross-device predictive health models to reduce downtime and false positives. - Proactive merchant engagement through Device and CLM. - Sustainability & cost efficiency through smart refurb and replacement policies. Skills & Qualifications- - Product experience, with at least 2 years owning device/IoT/fintech hardware products. - Strong leadership & roadmap ownership skills, with CXO-level exposure. - Experience in driving cross-functional programs (engineering, business, operations). - Strategic thinker with execution excellence. Ability to influence stakeholders and mentor junior PMs. Why join us? A collaborative output driven program that brings cohesiveness across busin

About the Team DashMart is a local-fulfillment center owned and operated by DoorDash, offering customers household essentials and other items to their doorsteps with speed, reliability, and quality. Customers order their convenience, grocery, retail, and prepared foods in the DoorDash app, and our team members fulfill orders in a real, brick-and-mortar store, for Dashers to deliver. We’re open early and close late - some sites even run 24/7! Shifts: Morning, Day, Evening, Weekend, Part-Time About Part-Time Variable Schedule Roles at DashMart As a Variable Schedule Operations Associate , instead of a fixed weekly schedule, you largely pick up open shifts through our scheduling app. Shifts may open ahead of time or pop up at the last minute based on business needs. Schedules with available openings are posted weekly, and additional shifts may appear through shift swaps or peaks in demand. You will be expected to work at least one shift every four weeks for a minimum of four hours each shift. Variable Schedule Operations Associates will be scheduled for one shift a month to help meet this requirement. This will also be a key time to review any relevant changes in processes and company-provided tooling, and stay connected with the Site Leadership Team, including your supervisor. Reliability and communication are key — when you pick up a shift, we count on you to show up on time and complete each shift, while meeting performance expectations. You’ll start with DashMart onboarding and initial training ( one shift ) and complete one 4-hour on-the-job training shift (must be completed within 14 days) to set you up for success, then you can begin choosing shifts based on business needs and your schedule. About the Role Picking and Packing orders. Pick orders that come through the app, pack the order and hand it off to Dashers. Inventory and Spoilage Management. Stock receivables and manage inventory, including shelf life.