Field Sales Executive Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evalua

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. On the Underwriting ML team, you’ll build and improve machine learning systems that make real-time transaction decisions, assessing the repayment risk and expected value of every Affirm checkout. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as user behavior and macroeconomic conditions evolve. What you’ll do - You will develop and iterate on underwriting prediction models using a mix of approaches for tabular and sequential data - You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed. - You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls. - You will help productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness. - You will instrument and monitor model and data health, and help define retraining/backtesting workflows - You will collaborate across Engineering, Risk Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences. What we look for - You have a total of 2+ years of experience as a machine learning engineer or a PhD in a relevant field. - Strong Python skills and experience writing production-quality code. - Experience building and evaluating models for classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar). - Experience with a deep learning fra

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. Your Launchpad into Global Trade The opportunity As a Customs Specialist, you won't just be starting a job; you'll be starting a career at the heart of international trade. You'll join our core Customs team—a product poised for more than 10x growth in the next five years—and play a pivotal role in how goods move around the world. You'll be on the front lines, working with clients, shippers, and government agencies to clear goods across international borders. Forget old-school logistics; here, you'll use Flexport's state-of-the-art technology to automate processes and set new industry standards. You’ll be surrounded by industry leaders in a vibrant, supportive environment that’s built on teamwork and innovation. We invest in our people with continuous learning opportunities to help you grow into a thought leader in the customs field. This position will be based in the Laredo, TX area . What you’ll do Become a global trade expert by navigating the complex world of customs regulations to ensure goods comply with international laws. Keep supply chains moving by managing the essential documents and data needed for smooth customs clearance to

About the Role The Mechanical Commissioning Lead owns mechanical commissioning planning, readiness, quality coordination, and test execution oversight for the project. This role ensures mechanical systems are installed, inspected, started, balanced, controlled, and tested in a way that supports reliable integrated facility performance. Reports to the Commissioning Project Lead and partners closely with mechanical contractors, equipment vendors, design/engineering teams, the electrical commissioning lead, controls stakeholders, and vendor field/test engineers. Location: 100% Onsite In Texas or Georgia Key Responsibilities Develop and maintain the mechanical commissioning scope, readiness criteria, inspection strategy, and discipline test execution plan. Review mechanical design packages, specifications, submittals, method statements, controls narratives, sequence assumptions, and testing requirements for commissionability and risk. Coordinate mechanical QA/QC inspections with contractors and vendor field/test engineers, including installation checks, pre-functional readiness, deficiency capture, and closeout tracking. Own mechanical commissioning procedure development and review, including equipment startup, functional testing, controls verification, balancing prerequisites, failure mode validation, and integrated systems testing inputs. Coordinate with equipment vendors on factory/site acceptance requirements, startup support, test prerequisites, documentation packages, and vendor participation during critical tests. Support readiness and execution for cooling, ventilation, hydronic, pumping, heat rejection, controls, and other project-specific mechanical systems. Lead discipline-level review of mechanical test results, deficiencies, corrective actions, retest requirements, trend logs, and acceptance evidence. Maintain mechanical commissioning dashboards and status inputs for the Commissioning Project Lead, including risk items, resource needs, test readiness, and i

The NetSuite Developer – FSM is responsible for the configuration, development, and support of NetSuite solutions with a strong focus on the Field Service Management module. The ideal candidate will build, test, and maintain FSM workflows and integrations while partnering with functional consultants and clients to translate business requirements into technical solutions. Responsibilities Design, develop, and implement customized NetSuite solutions including scripts, workflows, and FSM configurations Configure and optimize FSM functionality — dispatch, scheduling, work orders, resource management Create custom scripts using SuiteScript 2.0/2.1 Communicate efficiently with functional consultants, project managers, and end-users Develop integrations with 3rd party systems via their APIs Troubleshoot and resolve issues within existing NetSuite/FSM implementations Perform release preview testing to ensure compatibility ahead of NetSuite upgrades Basic Qualifications Previous experience working with NetSuite ERP is mandatory 3+ years of experience creating custom scripts with SuiteScript 1.0/2.0/2.1 Direct hands-on experience with Field Service Management (FSM) required Experience using a GIT repository NetSuite SuiteCloud Developer Certification is a plus Desired Qualifications Hands-on cloud integration experience with NetSuite Integration Platform (NSIP), Celigo, or Boomi Experience in HTML, CSS3, JavaScript, jQuery Data management experience (SQL, XML, JSON) Web services experience (REST, SOAP) Active familiarity with utilizing AI tools (e.g., Claude Code, Codex) on a day-to-day basis to enhance development workflows College or University degree in Computer Science How You’ll Embody Our Core Values At Plative, our core values shape how we work, collaborate, and grow. As part of the team, you will: Put People First: Build trusted relationships with clients and mentor teammates. Grow Together, Win Together: Share knowledge, celebrate wins, and elevate others. Bring Your

About the Team OpenAI is a frontier AI research and deployment company. Frontier research is at the center of how we advance our mission, with researchers, engineers, product leaders, operators, and many other teams working together to turn new capabilities into systems that benefit humanity. The People team helps OpenAI attract, engage, and support the exceptional talent this work requires. Employer Brand sits at the intersection of Research, Recruiting, Communications, Marketing, and Brand. Its mandate is to continue to establish OpenAI in the talent market as the unique and leading frontier research lab—not simply another technology company—and make our distinctive research environment, mission, culture, and opportunity for impact relevant and tangible to every priority talent audience. About the Role We’re hiring an Employer Brand Manager to build and scale the strategy, narrative, and operating system that shape how priority talent understands OpenAI. This senior individual contributor will anchor our employer brand in OpenAI’s identity as a frontier research lab and translate an evidence-backed “why OpenAI / why now” narrative into campaigns, researcher and employee stories, recruiter and hiring manager enablement, and candidate experiences. This role is especially important as OpenAI competes for exceptional talent across research, engineering, product, and other mission-critical functions in a fast-moving field where external perceptions can be incomplete or change quickly. You will develop a clear, credible talent narrative for priority audiences—anchored in frontier research and substantiated by individual agency, world-class infrastructure, research-to-product translation, deployment scale, and a willingness to answer hard questions candidly. This role is responsible for ensuring the external brand resembles our culture and ethos internally, therefore must remain immersed in various OpenAI research and applied branches. This role is based in San Francisco

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. We are actively seeking a Senior Customer Architect with an understanding of technology and hands-on experience in key IT domains, notably Observability, Cybersecurity, and Enterprise Search. You should possess a strong technical background, preferably with experience in cloud-based software solutions. We value individuals who are passionate about staying at the forefront of technology trends with a growth mindset and excited to learn and implement new technologies. While previous experience with Elastic solutions is not a prerequisite, an eagerness to adopt our suite of solutions and apply them effectively to solve our customers' challenges is critical. This key role involves not only driving the consumption of our Elastic solutions by aligning them with customer business objectives but also onboarding customers, securing adoption, and facilitating expansion. What is The Role As a Sr Customer Architect, you will be the Trusted Technical Advisor, working in tandem with the customer and complementary groups like Field and Services Teams to ensure that Elastic solutions are exceeding customer's expectations. . Your technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio. In your role, a crucial part o

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 Team Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end. About the Role Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines. Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful. You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones. What You’ll Do Run the physi

RDQ127R59 Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure. Your work will span the entire stack—from cluster management down to query compilation. You will solve complex, high-impact engineering problems to deliver highly optimized, cost-effective workloads for our customers. Impact You Will Have Accelerate Serverless Growth: Drive the scaling and efficiency of Databricks serverless compute products through advanced optimization techniques. Build Systems: Design end-to-end ML4Sys solutions from the ground up within a lean team of domain experts to support Shape Strategy: Define the roadmap for applied ML investments by collaborating with engineering and product leaders across Databricks. Drive Deployment: Architect, train, and deploy state-of-the-art models that directly improve product performance and cost efficiency. Scale Infrastructure: Build robust ML pipelines, data processing layers, model serving components, and production monitoring systems to help scale Innovate: Research and implement novel modeling techniques tailored specifically to computer systems and distributed environments. Minimum Qualifications Education: Background in Computer Science and Master's degree in Machine Learning, Data Science, or a related computational field (AI, Bioinformatics, EE, Physics, etc). ML Experience: Strong background in building, training, and deploying machine learning models in production. Infrastructure Knowledge: Practical familiarity with cloud computing, distributed systems, and modern data processing frameworks. Core Coding: Proficiency in Python, Scala, or Java. Preferred Skills Advanced Education: PhD in AI, Data Science, or a related technical discipline. Industry Experience: 4+ years of machine learning engineering experience in high-velocity, high-growth environment. Systems Domain:

About the Role We are looking for a detail-oriented and enthusiastic HR Payroll Intern to support our HR team in payroll operations and employee-related processes. This internship will provide hands-on exposure to payroll management, HR operations, employee data, and HR systems. Duration - 6 Months Key Responsibilities ● Assist in the monthly payroll processing and related HR activities. ● Maintain and update employee records and payroll data. ● Support attendance, leave, and other payroll-related inputs. ● Assist in preparing and validating payroll reports and MIS. ● Coordinate with relevant teams to resolve payroll and employee data discrepancies. ● Support documentation and other HR Operations activities. ● Ensure accuracy and confidentiality of employee information. ● Assist the HR team with other payroll-related tasks as required. Requirements ● Pursuing BBA/MBA/PGDM in HR, Finance, or a related field. ● Strong attention to detail and numerical aptitude. ● Good working knowledge of MS Excel. ● Good communication and coordination skills. ● Ability to handle confidential employee information responsibly. ● Candidates who can commit to a 6-month internship are preferred. What You'll Gain ● Hands-on experience in Payroll & HR Operations. ● Exposure to real-world employee data and payroll processes. ● Opportunity to work in a professional corporate environment. ● Practical understanding of HR systems, processes, and reporting.

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Build statistical models, define and analyze product and operational metrics, explore experimental design, and construct exploratory analysis with internal data. Work closely with product and business teams to identify important questions and answer them with data. Collaborate with other data scientists, engineers and operations to formulate innovative solutions to experiment and implement advanced data mining techniques. Conduct exploratory analysis on internal data to understand user behavior to inform product development. Drive the collection of new data and the refinement of existing data sources. Apply statistical and machine learning models on large datasets to measure results and outcomes, and identify causal impact and attribution. Predict future performance of users or products. Define, measure, and monitor key outcome metrics for teams and support Stripe’s business. Communicate complex concepts and the results of metrics and analyses in a clear and effective manner through creative visualization. Communicate findings broadly and interact with other teams including product managers, software engineers, marketing, and business development. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Operations Research, Statistics, Industrial Engineering, Business Analytics, Mathematics or a related field, plus three (3) years of

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Design, develop, maintain, and support application programming interfaces (APIs), backend services, and distributed systems using Ruby, Java, Go and Scala. Build, test, deploy, and maintain software infrastructure to support large-scale production systems. Design and develop software systems using analytical techniques and mathematical models to evaluate system performance, predict outcomes, and assess design tradeoffs. Develop and execute software testing, validation, debugging, and documentation procedures to ensure system reliability and performance. Diagnose and resolve production issues across multiple services and layers of the technology stack. Analyze user needs and software requirements to determine technical feasibility, design approaches, and implementation timelines within cost and resource constraints. Collaborate with cross-functional engineering teams to design and implement new features for large-scale systems. Design and build systems to securely store, manage, and modify production data and services. Improve engineering standards, development tools, and software development processes to enhance system quality and efficiency. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus 2 years of software development experience. Must also have 2 years of experi

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. GLOBAL FACILITIES CSA ENGINEER As the Global Facilities Regional Engineering CSA Engineer (Civil, Structural & Architectural) you will be responsible for providing technical support, expertise, and lead business process alignment on construction project design, management, schedule, cost control, testing & commissioning, operational and maintenance programs for the CSA Engineering at all manufacturing sites in your location / region. As a global team member residing in your current site/geography, you will represent all facility design standard alignment, construction project management, O&M BKM alignment initiatives. You will also support the Global Facilities Central Engineering Team, Construction Team , Line Planning Team and O&M Team in providing critical design standard alignment, supplier quality improvement, operational and maintenance input and support construction projects. Critical metrics include construction project management, schedule, cost control, safety index, and facilities system reliability improvement program in eliminating production events that minimize lost moves and scrap. Responsibilities and tasks: Project Design and construction of regional green field project with alignment

Bracebridge Capital, LLC is a leading alternative asset manager with approximately $12 billion of net assets under management. The firm pursues investment strategies primarily within the global fixed income markets with the objectives of capital preservation and absolute return without significant correlation to equity, interest rate and foreign exchange markets. Established in 1994, Bracebridge manages private investment funds that serve endowments, foundations, pension funds and other institutional and high-net-worth investors. Approximately 170 employees operate from our office located in Boston’s historic Back Bay. The entrepreneurial and collaborative culture at Bracebridge rewards and supports motivated, dedicated, enthusiastic and intellectually curious individuals. We believe our firm’s greatest asset is the people who work here. The Senior Derivatives Operations Specialist resides within our Back Office Operations group. This is a great opportunity to work with a dynamic group of people while learning about the operational aspects of our firm. Primary Responsibilities: Manage, prepare, and review the firm’s reconciliation process on a daily basis for all derivative securities. Reconcile and process principal and interest payments for all derivative securities. Communicate derivative discrepancies with external parties (counterparties, banks, administrators, etc.) as well as internal departments in order to resolve breaks. Project, prepare and analyze daily derivative margin calls. Work with colleagues internally as well as the firm’s external counterparties. Gain a working knowledge of the firm’s general trading strategy, operations, and common cash flows. Assist in reviewing monthly shareholder statements. Other operational, recordkeeping, and data processing assignments as determined. Qualifications: B.A. degree in Finance, Accounting, or a related field. 3 to 5 years of relevant operational work experience including fund accounting, reconcili

Who We Are: LINK is a fast-growing Woman Owned Small Business (WOSB) that leverages human-centered design to support strategy, innovation, communication, change, and branding within the federal government and adjacent industry partners. At LINK, we partner with engineers, futurists, and thought leaders to untangle complexity, discover opportunity, and communicate clearly with visual stories. Let us be your partners in change. Location: We are actively hiring in the Charleston, SC area. About the Opportunity LINK is actively seeking a Senior Information Designer to join our dynamic team, where we collaborate with clients across a wide range of industries to create impactful visual stories that communicate complex ideas. You will be responsible for translating concepts into compelling visual products, including prototypes, wireframes, infographics, charts, and diagrams, to effectively convey both quantitative data and abstract ideas in print and digital formats. This is an exciting opportunity for a creative professional to apply human-centered design and design thinking principles to solve complex challenges and deliver visually engaging solutions. You will work closely with both internal teams and clients to understand their needs, develop intuitive information hierarchies, and create designs that support their goals. Qualifications Bachelor’s degree in Graphic Design, Visual Communication, Visual Journalism, Animation, Information Design, or a related field. 10+ years of experience in graphic design, information design, visual communication, or a related field. Current TS/SCI clearance level required. Strong expertise in information design, visual storytelling, and communicating complex information through visual means. Well-versed in a variety of design disciplines (e.g., information design, graphic design, brand development, experience design) and able to select the appropriate approach for a given challenge. Strong understanding of info