Pricing Analyst Jobs

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch ! As a Senior Software Engineer at Databricks India, you can get to work across : - Backend - DDS (Distributed Data Systems) - Full Stack The impact you'll have: 1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. 2. Ou

Role Quantitative Researcher for a new team focused on systematic corporate bond and credit derivatives strategies. Responsibilities Independently conduct quantitative research, adopting a rigorous approach and using statistical and structural models Contribute to all aspects of the research and production process, including implementation of fitting tools; data organization; generation of alphas, risk and TC models; P&L attribution, etc. Proactively search for and prioritize new ideas and datasets for alpha potential Contribute to continuous improvement of the investment process and infrastructure in collaboration with the portfolio managers, developers and traders on the team Requirements PhD or Master’s degree in Economics, Finance, Statistics, Mathematics, Physics, or other quantitative discipline 2+ years of experience developing statistical and fundamental alpha signals, risk factors for single name credit, equities, or options. Demonstrated ability to conduct research utilizing large data sets Experience with FICC, credit or option pricing models is preferred Experience with numerical optimization methods is a plus Solid programming skills: understanding of the object-oriented programming and CI/CD framework. Proficiency in Python, including with packages used for data research, best practices of coding style, etc. ­ Strong communication skills Willingness to take ownership of his/her work, working both independently and within a team The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Staff Software Engineer - Money Team P-940 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure). As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem. The impact you

As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them What You’ll Do: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about finance? If so, you might be our Head of Finance. About us Retail Insights is Northern Europe’s leading retail forum. We are strengthening the retail ecosystem by building a platform for insights, inspiration, and networking, connecting more than 3,000 leaders yearly from more than 15 countries. Retail Insights is part of United Media which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. What we offer you As our Head of Finance you get the unique opportunity to be a key player in building one of our portfolio companies. By providing you with the ownership of our finances, we want to constantly push you out of your comfort zone. You’ll be working out of our HQ in Copenhagen and to ensure a never ending growth curve, we provide you with: • An opportunity for getting operational experience in a start-up or scale-up where both your work and the results are highly tangible and matters to the business • A chance to work closely together with one of our CEO’s on our finances and budgets as well as report to investors on a monthly basis and participate in board meetings • Unlimited growth potential in our company - we strongly believe in and have a track record of promoting internally Your Responsibilities Your responsibilities will vary; however, some of them will be to: • Conduct monthly, quarterly, and annual reporting of both financial and operational performance • Assume responsibility for day to day finance operations such as cash flow, payments, payroll and P&L • Secure compliance with relevant standards and rules within tax, VAT and transfer pricing • Sup

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about finance? If so, you might be our Finance Manager. About us Retail Insights is Northern Europe’s leading retail forum. We are strengthening the retail ecosystem by building a platform for insights, inspiration, and networking, connecting more than 3,000 leaders yearly from more than 15 countries. Retail Insights is part of United Media which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. What we offer you As our Finance Manager you get the unique opportunity to be a key player in building one of our portfolio companies. By providing you with the ownership of our finances, we want to constantly push you out of your comfort zone. You’ll be working out of our HQ in Copenhagen and to ensure a never ending growth curve, we provide you with: • An opportunity for getting operational experience in a start-up or scale-up where both your work and the results are highly tangible and matters to the business • A chance to work closely together with one of our CEO’s on our finances and budgets as well as report to investors on a monthly basis and participate in board meetings • Unlimited growth potential in our company - we strongly believe in and have a track record of promoting internally Your Responsibilities Your responsibilities will vary; however, some of them will be to: • Conduct monthly, quarterly, and annual reporting of both financial and operational performance • Assume responsibility for day to day finance operations such as cash flow, payments, payroll and P&L • Secure compliance with relevant standards and rules within tax, VAT and transfer pricing • Sup

Do you thrive in a fast-paced environment, where you gain a tremendous amount of responsibility? Do you want to be part of an exceptional entrepreneurial team with young, motivated and extremely driven people? And are you curious or passionate about finance? If so, you might be our CFO. About us Retail Insights is Northern Europe’s leading retail forum. We are strengthening the retail ecosystem by building a platform for insights, inspiration, and networking, connecting more than 3,000 leaders yearly from more than 15 countries. Retail Insights is part of United Media which focuses on building large scale industry media and conferences products in sectors such as insurance, HR, private equity, retail, etc. As of today, we have organically launched 8 media companies and acquired one. What we offer you As our CFO you get the unique opportunity to be a key player in building one of our portfolio companies. By providing you with the ownership of our finances, we want to constantly push you out of your comfort zone. You’ll be working out of our HQ in Copenhagen and to ensure a never ending growth curve, we provide you with: • An opportunity for getting operational experience in a start-up or scale-up where both your work and the results are highly tangible and matters to the business • A chance to work closely together with one of our CEO’s on our finances and budgets as well as report to investors on a monthly basis and participate in board meetings • Unlimited growth potential in our company - we strongly believe in and have a track record of promoting internally Your Responsibilities Your responsibilities will vary; however, some of them will be to: • Conduct monthly, quarterly, and annual reporting of both financial and operational performance • Assume responsibility for day to day finance operations such as cash flow, payments, payroll and P&L • Secure compliance with relevant standards and rules within tax, VAT and transfer pricing • Support and report to manag

P-8 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products. The impact you will have Lead product management for one of the fastest growing products and businesses at Databricks Make company wide impact by driving Data Engineering across the Databricks product portfolio Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry Define, shape, and drive the future of data processing, data applications, and data pipelines Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market. What We Look For 5+ years of product management and related experience with enterprise or SaaS products. Educational or professional background in computer science or related engineering fields. Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts. Track record of delivering products

The GTM AI Transformation team is hiring a GTM Engineer to build the agents and automations that run inside Toast's sales motion. You'll write production code in Python against Salesforce, Snowflake, and LLM APIs, extend our sales AI platform (Myko) with custom integrations, and turn call transcripts and deal data into actions that reach reps and managers without anyone asking for them. This is a builder role. You'll own systems from prototype through production operation, and the measure of success is whether reps use what you ship and close faster because of it. You'll report to the Senior Manager of GTM AI Transformation and work day to day with sales leadership, Revenue Operations, Enablement, and Toast's Data and Engineering teams. The role is fully remote in the United States. A day in the life (Responsibilities) Agentic workflows that automate high-volume sales work end to end: follow-up drafting, deal stage updates, task creation, and Slack and CRM notifications, with approval gates and handoffs that keep reps in control. Integrations between our prospecting agents and adjacent systems (quoting, pricing, case creation) so a rep can go from signal to action without leaving their workflow. Pipelines that pull conversation intelligence transcripts into Snowflake and the CRM, and services on top of them that produce next best actions, deal risk flags, and coaching recommendations for frontline managers. The production controls around all of it: evals that catch regressions before reps see them, observability tied to pipeline and revenue outcomes, permissions and sensitive-data handling, error recovery and rollback. A third-party signal layer (intent, news, firmographic change) that flows into account prioritization, and the win/loss data capture that tells us what's working. What you'll need to thrive (Requirements) Proficiency in Python (TypeScript also works) and strong SQL. You write production-grade, tested code, and you can read, modify, and debug cod

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Finance Transformation Manager will design, scale, and automate the financial systems and operational processes required to support our quote-to-cash (Q2C) processes. This role acts as the bridge between Corporate Finance, Deal Desk, Order Operations, and IT. You will lead initiatives across pricing and deal structuring, CPQ, order management, billing, revenue recognition, and collections. What You Will Be Doing Lead end-to-end Quote-to-Cash (Q2C) transformation planning, execution, and governance. Define program scope, work-streams, milestones, deliverables, dependencies, risks, and success metrics. Drive transformation across pricing/CPQ, deal structuring, contracting, order management, billing, revenue recognition, and collections. Manage third-party vendors and system integrators supporting CPQ, billing, contract management, and revenue recognition initiatives. Identify opportunities to streamline and standardize Q2C processes across the enterprise. What You Bring 6-8+ years of experience in Program Management, Finance Transformation, Order/Billing Operations, or Revenue Operations. Proven experience leading complex enterprise transformation programs from strategy/problem definition through implementation. Deep understanding of the entire Quote-to-Cash lifecycle including applicable operational experience. Experience work

Veriforce is a leader in contractor compliance and supply chain risk management, helping the world's most safety-conscious organizations protect their workers, their reputation, and their operations. As Account Executive, you will own a defined geographic territory and drive new business growth across one or two of the key industries; including Oil & Gas , Mining, Utilities, and Manufacturing. This is a full-cycle, new-logo sales role. You will take opportunities from prospecting and qualification through solution positioning, demonstration, negotiation, and close articulating clear business value and driving adoption of Veriforce solutions with the organizations that need them most. 1. Build Pipeline & Prospect Relentlessly • Build and maintain a healthy pipeline of qualified opportunities with strong coverage against quota • Execute outbound and account-based prospecting strategies in close partnership with BDRs • Prioritize and systematically engage ICP accounts across your territory 2. Qualify with Rigor (MEDDIC / BANT) • Lead structured discovery to uncover business drivers, urgency, and decision dynamics • Validate ICP fit and apply deal qualification rigor early — and revisit it throughout the cycle • Build multi-threaded relationships across economic buyers, champions, and influencers 3. Sell on Value • Map customer challenges to Veriforce solutions across compliance, risk reduction, and operational efficiency • Own and deliver product demonstrations tailored to each customer's use case • Develop ROI-driven business cases that give champions the tools to sell internally 4. Negotiate & Close • Build compelling, value-based proposals aligned with customer objectives and internal pricing frameworks • Lead commercial negotiations with a structured, disciplined approach • Engage leadership and legal at the right moments to accelerate — not slow — the deal 5. Bring the Market Inside • Stay current on industry trends, competitive dynamics, and evolving customer nee

Veriforce is a leader in contractor compliance and supply chain risk management, helping the world's most safety-conscious organizations protect their workers, their reputation, and their operations. As Account Executive, you will own a defined geographic territory and drive new business growth across one or two of the key industries; including Oil & Gas , Mining, Utilities, and Manufacturing. This is a full-cycle, new-logo sales role. You will take opportunities from prospecting and qualification through solution positioning, demonstration, negotiation, and close articulating clear business value and driving adoption of Veriforce solutions with the organizations that need them most. 1. Build Pipeline & Prospect Relentlessly • Build and maintain a healthy pipeline of qualified opportunities with strong coverage against quota • Execute outbound and account-based prospecting strategies in close partnership with BDRs • Prioritize and systematically engage ICP accounts across your territory 2. Qualify with Rigor (MEDDIC / BANT) • Lead structured discovery to uncover business drivers, urgency, and decision dynamics • Validate ICP fit and apply deal qualification rigor early — and revisit it throughout the cycle • Build multi-threaded relationships across economic buyers, champions, and influencers 3. Sell on Value • Map customer challenges to Veriforce solutions across compliance, risk reduction, and operational efficiency • Own and deliver product demonstrations tailored to each customer's use case • Develop ROI-driven business cases that give champions the tools to sell internally 4. Negotiate & Close • Build compelling, value-based proposals aligned with customer objectives and internal pricing frameworks • Lead commercial negotiations with a structured, disciplined approach • Engage leadership and legal at the right moments to accelerate — not slow — the deal 5. Bring the Market Inside • Stay current on industry trends, competitive dynamics, and evolving customer nee

Toast is building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: running the businesses they love. We’ve grown into a leading hospitality software company in the U.S., and are now entering our next phase of growth—one defined by scale, complexity, and a new class of enterprise customers. Every restaurant is unique, and a restaurant’s menu expresses its individual brand and product offerings. Inside a Toast restaurant, the definition of the menu becomes the common language between guests, servers, and the kitchen. In our digital ordering products, a great menu serves as both a billboard and a roadmap to an excellent dining experience. It is the central hub for restaurant configuration– it determines what guests can order, how the dishes are presented and priced in different contexts, where they are routed for fulfillment and how they are coursed, how they are prepared, whether the ingredients are still available, and how they are classified for reporting. A menu is always evolving: kitchens create new dishes, managers experiment with pricing and presentation, and staff optimize the menu for restaurant operations. We create products to satisfy the vast breadth of our restaurants, from single-location coffee shops to complex enterprise brands with thousands of locations. We offer an extremely powerful and configurable menu platform, and our team exists to ensure that this flexibility can be managed effectively at any scale. This includes feature-rich menu data models, APIs for both first and third party integrations (eg: DoorDash and other ordering partners), and the user experiences for configuring menus that meet a vast variety of needs, from complex customer segments (eg: Pizza shops) to our evolving Retail platform. We are looking for a visionary engineer who is motivated by these challenges and eager to transform our menus architecture to meet the dynamic needs of our customers and our rapidly gro