Executive Finance Jobs

Partner Solutions Architect, Technology Partners 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 As a member of the Partner Solutions Architecture (PSA) team, you'll be responsible for providing technical guidance to Stripe's technology partners. Our goal is to drive growth through co-solutioning, education, and enablement with our partner organization. The right candidate will be a technical liaison to the Stripe Partner Development Manager. This will involve creating technical business plans for technology partners, including identifying, incubating, and bringing to market service and solution offerings built on or with Stripe. A Partner Solutions Architect is someone who is intellectually curious, open, and entrepreneurial. What you'll do As a member of the team, PSAs build consultative relationships with executives and technical decision-makers in the customer's organization to provide business and technical thought leadership, and become a trusted advisor in solving business-critical challenges. We architect business models with them so they can drive new monetization opportunities and growth. Responsibilities Work with key technology partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth Develop and execute enablement plans Be at the forefront of technical discussions and solution deep-dives with technology partners on the value Stripe can provide to their clients Engage with CTOs, engineering, and other technical leads at ke

About the team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the ChatGPT Ads team is building advertising products that help businesses reach customers in useful, trusted, and responsible ways. The Ads Strategy, Planning, and Operations team is responsible for building the operating foundation for OpenAI's advertising business: GTM systems, segmentation, coverage, planning, forecasting, business rhythms, sales programs, incentives, and scalable execution across advertisers, agencies, partners, resellers, and internal teams. This team sits at the intersection of Sales, Product, Engineering, Finance, Legal, Policy, Marketing, Partnerships, and Customer Success. About the role We’re looking for a Sales Strategy & Operations Lead to help build the GTM operating system for ChatGPT Ads. This person will work across sales strategy, planning, systems, segmentation, forecasting, operating rhythm, sales programs, and commercial execution to help the Ads business scale with clarity, speed, and control. This role is for someone who can move between strategy and execution: able to define operating models, build analytical frameworks, run cross-functional planning processes, improve GTM systems and data quality, and program manage high-priority sales initiatives. The ideal candidate has meaningful experience in digital advertising, media, adtech, marketplace, or platform businesses and understands the complexity of scaling sales motions across direct sales, agencies, partners, resellers, outsourced channels, and self-serve. In this role, you’ll: Help build the operating foundation for ChatGPT Ads across GTM systems, segmentation, coverage, forecasting, sales planning, and business reviews. Partner with Sales, Ads Ops, Product, Engineering, Strategic Finance, Legal, Policy, Marketing, Partnerships, Customer Success, and Data teams to translate strategy into execution. Develop objective frameworks for ac

About the Team OpenAI’s Compute Strategy team is responsible for securing and scaling the core resources that power our research and products. We partner across engineering, finance, legal, and operations to identify, negotiate, and execute strategic partnerships that expand OpenAI’s capacity for compute, power, and data center infrastructure. Our mandate spans energy procurement, real estate development, colocation, cloud service providers, silicon and strategic supply chain, and infrastructure financing—ensuring OpenAI can grow with speed, resilience, and cost-efficiency. About the Role We are hiring several Business Development Lead, Compute Strategy positions focused on compute infrastructure. Each hire will bring deep expertise in one or more focus areas while collaborating across the broader infrastructure stack. In this role, you will source opportunities, structure partnerships, and negotiate high-value agreements across OpenAI’s infrastructure ecosystem. You will work directly with external partners and suppliers while collaborating internally with engineering, legal, finance, and operations to ensure we have the resources needed to support state-of-the-art AI systems. This role requires technical fluency, commercial judgment, and disciplined execution. Your work will directly shape how quickly, reliably, and efficiently OpenAI can bring new compute capacity online. Each hire will focus on building partnerships and executing deals in one or more of the following areas: Energy and Power: securing scalable and sustainable energy supply. Land and Real Estate: identifying and securing strategic sites. Colocation : evaluating and contracting for third-party data center capacity. Cloud Service Providers (CSPs): structuring partnerships with hyperscalers and specialized AI cloud providers. Silicon: building semiconductor partnerships to secure advanced silicon and resilient long-term supply. Fiber & Equipment: securing fiber & critical data center equipmen

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI — s pecifically, applying machine learning to high-impact real-world domains like medicine, finance, and law. You'll collaborate closely with Snowflake researchers, scientists, and engineers on fundamental and applied problems, publishing high-quality work while helping shape how AI integrates with the world's most consequential industries. AS A POST-DOCTORAL RESEARCHER AT SNOWFLAKE, YOU WILL: Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission, with a focus on AI applied to medicine, finance, or law Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains Engage across teams — including with domain experts and applied engineering — to ground research in pra

Role : Program Manager Function: Personal Loans, Lending Location: [Noida / Mumbai] Experience: 3–6 years About the Role: We are hiring a Program / Category Manager to help drive Paytm's Personal Loans business. You will own a set of lending partners end-to-end; their volumes, their economics and their journey and be the connective tissue between Business, Product, Technology, Operations, Risk, Compliance, Finance and Marketing. This is a builder's role, not a coordinator's. You will be expected to find growth yourself: dig into the funnel, form a view on what is broken or under-exploited, build the business case, and then drive it to launch with the teams that can make it happen. The partners in this portfolio contribute a meaningful share of Paytm's monthly disbursals, so the decisions you make show up directly in the P&L. Key Responsibilities: - Own the AOP for your lending partners and drive the initiatives needed to deliver it month on month, not just at quarter end. - Build the forward view forecasts, scenario plans and the levers available if the base case slips. - Own the funnel end to end: stage-wise conversion, drop-offs, TATs and the specific reason codes behind each leak, from offer display through KYC, e-mandate, e-sign and disbursal. - Run cohort and vintage analysis to understand how different user segments, sources and offer constructs behave over time, and use it to shape targeting and offer strategy. - Design and run experiments: A/B tests on journeys, messaging, offers and routing and read the results honestly, including the ones that fail. - Build and maintain the dashboards and MIS that the business runs on, so that you and your stakeholders are always looking at the same, current, correct numbers. - Turn analysis into a recommendation. The deliverable is a decision with a number attached to it, not a deck of charts. - Drive end-to-end execution of strategic lending programs, delivered on time and against clearly defined business outcomes. -

About the Role : We are looking for a proactive and detail-oriented Sales Coordinator to support our Ad Sales team. This role involves coordinating with internal and external stakeholders to ensure seamless campaign execution, maintaining sales operations, and providing analytical support to drive client success. The ideal candidate should have strong coordination skills, be comfortable working with data, and possess excellent proficiency in Excel and PowerPoint. Key Responsibilities : Sales Coordination & Campaign Support Coordinate with the Ad Sales team, clients, and agencies to ensure smooth onboarding and campaign execution. Act as the primary liaison between Sales and cross-functional teams including Campaign Operations, Marketing, Finance, Legal, and Collections. Track campaign progress and ensure timely execution as per agreed timelines. Monitor campaign performance and share regular updates with internal stakeholders and clients. Escalate execution-related issues proactively to ensure timely resolution. Sales Operations & Reporting Support the Sales team by preparing reports, presentations, and campaign performance summaries. Maintain accurate sales records, campaign trackers, and MIS reports. Prepare post-campaign reports with key performance insights and data analysis. Coordinate with Finance teams for timely invoicing and campaign closure. Gather information from multiple stakeholders and consolidate reports for business reviews. Client & Stakeholder Management Coordinate with clients and agencies for campaign documentation and execution requirements. Address operational queries and ensure a seamless client experience. Support the Sales team during client pitches by preparing relevant data, reports, and presentations. Skills & Qualifications : Strong analytical and numerical aptitude. Excellent coordination and stakeholder management skills. Proficiency in Microsoft Excel (advanced functions, pivot tables, reporting) and PowerPoint. Strong communica

Role: Program Manager – Vendor & Partnership Management Experience: 4–6 years Location: Mumbai/Noida Education: Undergraduate No of positions required: 1 Key Responsibilities -Own the end-to-end vendor and partnership management lifecycle across the business. -Drive commercial discussions and support contract negotiations with new and existing partners to ensure favorable business outcomes. -Coordinate with internal stakeholders (Legal, Finance, Procurement, Compliance, and Business teams) for timely execution, renewals, and amendments of vendor agreements. -Validate vendor invoices against contractual terms, commercial commitments, and agreed service deliverables before processing payments. -Track and monitor vendor performance through defined KPIs and SLAs, ensuring adherence to contractual obligations and timely issue resolution. -Manage vendor onboarding, documentation, governance, and compliance requirements. -Prepare periodic reports and dashboards covering vendor performance, commercial utilization, contract status, renewals, and operational metrics. -Identify process improvement opportunities and establish governance mechanisms to enhance vendor management efficiency. -Act as the primary point of contact for vendors and internal stakeholders, ensuring seamless communication and execution across ongoing engagements. -Support budgeting, forecasting, commercial planning, and reconciliation activities related to vendor partnerships. Preferred Skills -4–6 years of relevant experience in Vendor Management, Partnership Management, Program Management, Procurement Operations, or a similar role. -Strong understanding of commercial negotiations, contract management, invoice validation, and vendor governance processes. -Excellent stakeholder management and cross-functional collaboration skills. -Strong analytical and problem-solving abilities with high attention to detail. -Proficiency in Microsoft Excel and PowerPoint; experience with procurement or ERP systems will

About the Role: We are seeking a Business Operations Manager to drive end-to-end operations for our Telecom Value-Added Services (VAS) business. The role will be responsible for ensuring seamless execution of telecom operations, managing operator relationships, coordinating with cross-functional teams, and driving operational excellence across business initiatives. Key Responsibilities: - Own and manage end-to-end business operations for Telecom VAS products and services. - Act as the primary point of contact for telecom operator partners and ensure smooth execution of day-to-day operations. - Build and maintain strong relationships with key stakeholders across telecom operators and internal teams. - Monitor operational performance, identify issues proactively, and drive timely resolution. - Coordinate with Product, Technology, Content, Finance, and other cross-functional teams to ensure seamless service delivery. - Manage operator onboarding, service launches, and ongoing operational requirements. - Track business KPIs, prepare operational reports, and provide actionable insights to leadership. - Drive process improvements to enhance operational efficiency and customer experience. - Ensure adherence to SLAs, governance frameworks, and business commitments. - Support revenue growth initiatives by working closely with business and partnership teams. Qualifications & Experience: - Bachelor's degree in Business, Engineering, Telecommunications, or a related field. - 7+ years of overall experience with at least 3 years of relevant experience in Telecom VAS, Telecom Operations, Business Operations, or Account Management. - Proven experience in managing telecom operator relationships and business operations. - Strong understanding of Telecom Value-Added Services (CRBT, Digital Content, Subscription Services, or related telecom products). - Experience working with multiple stakeholders in a fast-paced business environment. Required Skills: - Business Operations Man

At TaylorMade, we are committed to building the best teams – starting with passionate and innovative individuals. We are looking for an experienced HR Business Partner to join our team and help us continue to build. This role has an opportunity to support our unique corporate culture where employees are engaged and creative to evolve the business and drive results. The HR Business Partner works with Executives and company leadership to strengthen employee and organizational capabilities. This role provides vital leadership in change management initiatives needed to support company culture and business strategies. Essential Functions and Key Responsibilities: Advise and coach leaders within assigned business units to maximize effectiveness in managing people and organizational challenges. Partner with company leadership to understand the business unit’s priorities, initiatives, financial requirements, and organizational structures to identify opportunities and challenges with hiring, retaining, and growing talent. Work closely with leadership in structuring and developing teams to maximize performance and employee engagement. Analyze areas of opportunity for development and training designed to enhance employee skills to be best in class and foster a culture of creativity and innovation. Ensure consistency and fairness, as well as alignment with Company policy and culture to improve employee morale and productivity. Responsible for headcount management and oversight within business units to align with Annual Operating Plan. Along with leadership, strategize to determine best utilization of open headcount based on business strategy. Establish credibility throughout the organization of people management using deep employee relations skills. Coach employees on various human

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. 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. We are seeking a strong, well rounded leader who works well cross functionality to shape and execute our strategic efforts around M&A, Venture Capital, and Corporate Business Development activities: Responsibilities Drive M&A and Venture Capital strategy in partnership with senior corporate and subsidiary leadership, including opportunity identification and prioritization. Lead sourcing, evaluation, and due‑diligence efforts for M&A, VC, and partnership opportunities, assessing strategic fit, financial value, and integration requirements. Manage cross‑functional teams through diligence, deal execution, operational assessment, and post‑deal integration planning. Build and maintain strong relationships with target company executives while regularly scanning markets for new business and technology opportunities. Prepare acquisition proposals, validate financial models, and deliver strategic recommendations and presentations to executives and key collaborators. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiven

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role We are seeking a Pricing Implementation Analyst to join our Pricing team in the Lending Organization. This is an exciting role for someone to make a direct impact on the revenue of SoFi. As Pricing Implementation Analyst, you will be working closely with a world-class team of business leaders and data scientists to help SoFi implement, monitor, and advance pricing controls and the execution of pricing strategies across our consumer lending products. What you’ll do: Pricing Execution (60%) Materialize strategy implementation by translating high-level strategies into tactical steps, assessing system implication, and ensuring specifications are complete and aligned. Maintain robust audit trails and enforce governance requirements, including Jira and Gitlab process controls. Collaborate closely with Engineering teams to troubleshoot and resolve system issues, ensure successful pricing deployments, and continuously monitor data pipelines to verify pricing strategy is running as expected. Develop and maintain systematic validation functions to ensure implementation accuracy across all products Controls & Process Improvement (25%) Develop and maintain controls, including building automated validations alerts and anomaly/exception detection Tableau dashboards Identify opportunities to enhance execution

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m